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    <title>Reinforcement-Learning on Cognaptus</title>
    <link>https://cognaptus.com/tags/reinforcement-learning/</link>
    <description>Recent content in Reinforcement-Learning on Cognaptus</description>
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    <item>
      <title>The Policy Has to Work Somewhere: RL for Scale, Trust, and Other Inconveniences</title>
      <link>https://cognaptus.com/blog/2026-06-08-the-policy-has-to-work-somewhere-rl-for-scale-trust-and-other-inconveniences/</link>
      <pubDate>Mon, 08 Jun 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-06-08-the-policy-has-to-work-somewhere-rl-for-scale-trust-and-other-inconveniences/</guid>
      <description>A business-focused reading of how reinforcement learning can address the two deployment problems that benchmarks politely ignore: distributed scale and trustworthy agent behavior.</description>
    </item>
    <item>
      <title>Think Meter, Not Think Bigger: The New Control Layer for AI Reasoning</title>
      <link>https://cognaptus.com/blog/2026-06-02-think-meter-not-think-bigger-the-new-control-layer-for-ai-reasoning/</link>
      <pubDate>Tue, 02 Jun 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-06-02-think-meter-not-think-bigger-the-new-control-layer-for-ai-reasoning/</guid>
      <description>A practical framework for viewing AI reasoning as controlled internal computation: allocate more thought only when needed, inspect whether it is meaningful, and validate the result.</description>
    </item>
    <item>
      <title>High Entropy, Low Drama: The Internal Fingerprint of LLM Reasoning</title>
      <link>https://cognaptus.com/blog/2026-06-01-high-entropy-low-drama-the-internal-fingerprint-of-llm-reasoning/</link>
      <pubDate>Mon, 01 Jun 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-06-01-high-entropy-low-drama-the-internal-fingerprint-of-llm-reasoning/</guid>
      <description>How Entropy-Gradient Inversion turns LLM reasoning from a surface behavior into an internal diagnostic and a training signal.</description>
    </item>
    <item>
      <title>High Entropy, Low Drama: The Internal Fingerprint of LLM Reasoning</title>
      <link>https://cognaptus.com/blog/2026-05-31-high-entropy-low-drama-the-internal-fingerprint-of-llm-reasoning/</link>
      <pubDate>Sun, 31 May 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-05-31-high-entropy-low-drama-the-internal-fingerprint-of-llm-reasoning/</guid>
      <description>Entropy-Gradient Inversion reframes LLM reasoning as an internal training signal, not just a benchmark score.</description>
    </item>
    <item>
      <title>Experience Is Not Memory: Why Learning Agents Need a Better Feedback Loop</title>
      <link>https://cognaptus.com/blog/2026-05-29-experience-is-not-memory-why-learning-agents-need-a-better-feedback-loop/</link>
      <pubDate>Fri, 29 May 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-05-29-experience-is-not-memory-why-learning-agents-need-a-better-feedback-loop/</guid>
      <description>A mechanism-first reading of In-context Training, a new framework for testing whether language agents can turn one-off experience into reusable operational improvement.</description>
    </item>
    <item>
      <title>The Confidence Trick: When Long AI Reasoning Arrives Too Early</title>
      <link>https://cognaptus.com/blog/2026-05-29-the-confidence-trick-when-long-ai-reasoning-arrives-too-early/</link>
      <pubDate>Fri, 29 May 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-05-29-the-confidence-trick-when-long-ai-reasoning-arrives-too-early/</guid>
      <description>A mechanism-first reading of premature confidence: why longer reasoning traces can still be post-hoc decoration, and how confidence trajectories may help diagnose and train better LLM reasoning.</description>
    </item>
    <item>
      <title>RL Needs a Menu, Not a Miracle</title>
      <link>https://cognaptus.com/blog/2026-05-25-rl-needs-a-menu-not-a-miracle/</link>
      <pubDate>Mon, 25 May 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-05-25-rl-needs-a-menu-not-a-miracle/</guid>
      <description>A recent arXiv paper shows why reinforcement learning works better when a model has already seen multiple verified ways to solve the same problem.</description>
    </item>
    <item>
      <title>Think Twice, Pay Once: The New Economics of Long-Horizon AI Reasoning</title>
      <link>https://cognaptus.com/blog/2026-05-09-think-twice-pay-once-the-new-economics-of-longhorizon-ai-reasoning/</link>
      <pubDate>Sat, 09 May 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-05-09-think-twice-pay-once-the-new-economics-of-longhorizon-ai-reasoning/</guid>
      <description>A synthesis of two new arXiv papers showing why AI reasoning progress now depends on measuring task structure and routing expensive computation only where it earns its keep.</description>
    </item>
    <item>
      <title>Credit Where It’s Due: The New Reasoning Stack for Agentic AI</title>
      <link>https://cognaptus.com/blog/2026-05-07-credit-where-its-due-the-new-reasoning-stack-for-agentic-ai/</link>
      <pubDate>Thu, 07 May 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-05-07-credit-where-its-due-the-new-reasoning-stack-for-agentic-ai/</guid>
      <description>A research-cluster analysis of why reliable AI agents need better task structure, process evaluation, and credit assignment—not just larger models or longer chains of thought.</description>
    </item>
    <item>
      <title>When RL Needs a Tour Guide: OGER and the Business of Smarter Exploration</title>
      <link>https://cognaptus.com/blog/2026-04-23-when-rl-needs-a-tour-guide-oger-and-the-business-of-smarter-exploration/</link>
      <pubDate>Thu, 23 Apr 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-04-23-when-rl-needs-a-tour-guide-oger-and-the-business-of-smarter-exploration/</guid>
      <description>A mechanism-first reading of OGER, showing why expert demonstrations become more valuable when they guide exploration instead of merely supplying imitation data.</description>
    </item>
    <item>
      <title>When AI Knows the Map but Gets Lost on the Journey</title>
      <link>https://cognaptus.com/blog/2026-04-20-when-ai-knows-the-map-but-gets-lost-on-the-journey/</link>
      <pubDate>Mon, 20 Apr 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-04-20-when-ai-knows-the-map-but-gets-lost-on-the-journey/</guid>
      <description>A controlled shortest-path study shows why AI agents can transfer to new settings yet still fail when the task horizon gets longer.</description>
    </item>
    <item>
      <title>Grid Guardians: Why AI Needs a Safety Chaperone Before Running the Power Grid</title>
      <link>https://cognaptus.com/blog/2026-04-16-grid-guardians-why-ai-needs-a-safety-chaperone-before-running-the-power-grid/</link>
      <pubDate>Thu, 16 Apr 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-04-16-grid-guardians-why-ai-needs-a-safety-chaperone-before-running-the-power-grid/</guid>
      <description>A mechanism-first reading of why reinforcement learning for power-grid control needs runtime safety shielding, not just better reward penalties.</description>
    </item>
    <item>
      <title>Learning on Autopilot? Not Quite — How PAL Turns Passive Videos into Active Intelligence</title>
      <link>https://cognaptus.com/blog/2026-04-15-learning-on-autopilot-not-quite-how-pal-turns-passive-videos-into-active-intelligence/</link>
      <pubDate>Wed, 15 Apr 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-04-15-learning-on-autopilot-not-quite-how-pal-turns-passive-videos-into-active-intelligence/</guid>
      <description>A mechanism-first reading of PAL, an AI learning platform that turns lecture videos into adaptive questioning, learner-state tracking, and personalized post-lesson reinforcement.</description>
    </item>
    <item>
      <title>The Search That Remembers: Training AI Without Answers</title>
      <link>https://cognaptus.com/blog/2026-04-15-the-search-that-remembers-training-ai-without-answers/</link>
      <pubDate>Wed, 15 Apr 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-04-15-the-search-that-remembers-training-ai-without-answers/</guid>
      <description>How Cycle-Consistent Search turns the search trajectory itself into a reward signal for training AI agents when gold answers are unavailable.</description>
    </item>
    <item>
      <title>Playing Both Sides: How Multi-Agent Scripts Teach AI to Lie, Detect, and Decide</title>
      <link>https://cognaptus.com/blog/2026-04-14-playing-both-sides-how-multiagent-scripts-teach-ai-to-lie-detect-and-decide/</link>
      <pubDate>Tue, 14 Apr 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-04-14-playing-both-sides-how-multiagent-scripts-teach-ai-to-lie-detect-and-decide/</guid>
      <description>A mechanism-first reading of how multi-agent murder-mystery simulations can train vision-language models to reason under deception, partial evidence, and role-dependent incentives.</description>
    </item>
    <item>
      <title>Thinking Fast, Remembering Slow: Why SWE-AGILE Fixes the Memory Crisis of AI Agents</title>
      <link>https://cognaptus.com/blog/2026-04-14-thinking-fast-remembering-slow-why-sweagile-fixes-the-memory-crisis-of-ai-agents/</link>
      <pubDate>Tue, 14 Apr 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-04-14-thinking-fast-remembering-slow-why-sweagile-fixes-the-memory-crisis-of-ai-agents/</guid>
      <description>A mechanism-first reading of SWE-AGILE: why the next bottleneck for AI agents is not only reasoning depth, but remembering the right layer of reasoning at the right cost.</description>
    </item>
    <item>
      <title>Anchors Away: Rethinking How AI Agents Learn to Use Tools</title>
      <link>https://cognaptus.com/blog/2026-04-13-anchors-away-rethinking-how-ai-agents-learn-to-use-tools/</link>
      <pubDate>Mon, 13 Apr 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-04-13-anchors-away-rethinking-how-ai-agents-learn-to-use-tools/</guid>
      <description>A mechanism-first reading of E³-TIR, a tool-agent training method that uses expert prefixes as exploration anchors instead of treating demonstrations and reinforcement learning as rival religions.</description>
    </item>
    <item>
      <title>Spatial-Gym and the Illusion of Thinking: Why AI Can’t Walk Before It Runs</title>
      <link>https://cognaptus.com/blog/2026-04-13-spatialgym-and-the-illusion-of-thinking-why-ai-cant-walk-before-it-runs/</link>
      <pubDate>Mon, 13 Apr 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-04-13-spatialgym-and-the-illusion-of-thinking-why-ai-cant-walk-before-it-runs/</guid>
      <description>Spatial-Gym shows why step-by-step AI agents can finish tasks without solving them—and why business evaluation needs logs, verifiers, and constraint-aware benchmarks.</description>
    </item>
    <item>
      <title>From Chains to Trees: Why LLM Agents Need Structural Memory</title>
      <link>https://cognaptus.com/blog/2026-04-09-from-chains-to-trees-why-llm-agents-need-structural-memory/</link>
      <pubDate>Thu, 09 Apr 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-04-09-from-chains-to-trees-why-llm-agents-need-structural-memory/</guid>
      <description>A mechanism-first reading of T-STAR, showing why multi-turn LLM agents learn better when failed and successful rollouts are compared as shared trees rather than isolated chains.</description>
    </item>
    <item>
      <title>QED-Nano: Small Models, Big Proof Energy</title>
      <link>https://cognaptus.com/blog/2026-04-07-qednano-small-models-big-proof-energy/</link>
      <pubDate>Tue, 07 Apr 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-04-07-qednano-small-models-big-proof-energy/</guid>
      <description>A mechanism-first reading of QED-Nano shows why small theorem-proving models need more than long thinking: they need curated proof data, rubric rewards, scaffold-aware RL, and disciplined test-time compute.</description>
    </item>
    <item>
      <title>Seeing Charts Like a Quant: When RL Teaches Vision Models to Actually Reason</title>
      <link>https://cognaptus.com/blog/2026-04-06-seeing-charts-like-a-quant-when-rl-teaches-vision-models-to-actually-reason/</link>
      <pubDate>Mon, 06 Apr 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-04-06-seeing-charts-like-a-quant-when-rl-teaches-vision-models-to-actually-reason/</guid>
      <description>A business-oriented reading of Chart-RL, showing why small reinforcement-tuned vision-language models may beat larger untuned models on chart reasoning when accuracy, latency, and customization all matter.</description>
    </item>
    <item>
      <title>From Pixels to Python: Teaching AI to Fix Its Own Charts</title>
      <link>https://cognaptus.com/blog/2026-04-05-from-pixels-to-python-teaching-ai-to-fix-its-own-charts/</link>
      <pubDate>Sun, 05 Apr 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-04-05-from-pixels-to-python-teaching-ai-to-fix-its-own-charts/</guid>
      <description>A mechanism-first reading of MM-ReCoder, a chart-to-code model that learns self-correction through execution feedback, staged reinforcement learning, and reward design that distinguishes editable chart recovery from visual imitation.</description>
    </item>
    <item>
      <title>When Language Models Ask for Help: The Curious Case of Uncertain AI</title>
      <link>https://cognaptus.com/blog/2026-04-03-when-language-models-ask-for-help-the-curious-case-of-uncertain-ai/</link>
      <pubDate>Fri, 03 Apr 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-04-03-when-language-models-ask-for-help-the-curious-case-of-uncertain-ai/</guid>
      <description>A comparison-based reading of ASK, an uncertainty-gated RL-LM architecture that shows why language models are useful in agentic systems only when routed carefully.</description>
    </item>
    <item>
      <title>Approval Isn’t Free: When AI Safety Trades Capability for Control</title>
      <link>https://cognaptus.com/blog/2026-04-01-approval-isnt-free-when-ai-safety-trades-capability-for-control/</link>
      <pubDate>Wed, 01 Apr 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-04-01-approval-isnt-free-when-ai-safety-trades-capability-for-control/</guid>
      <description>A mechanism-first reading of MONA’s Camera Dropbox extension, showing why learned approval can suppress reward hacking without recovering useful capability.</description>
    </item>
    <item>
      <title>Skill Issue? Or Skill Strategy — When Agents Start Remembering What Matters</title>
      <link>https://cognaptus.com/blog/2026-03-31-skill-issue-or-skill-strategy-when-agents-start-remembering-what-matters/</link>
      <pubDate>Tue, 31 Mar 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-03-31-skill-issue-or-skill-strategy-when-agents-start-remembering-what-matters/</guid>
      <description>A mechanism-first reading of D2Skill and why agent memory needs utility, granularity, and pruning—not just more stored experience.</description>
    </item>
    <item>
      <title>Synthetic Sense or Synthetic Nonsense? When AI Trains on Itself</title>
      <link>https://cognaptus.com/blog/2026-03-31-synthetic-sense-or-synthetic-nonsense-when-ai-trains-on-itself/</link>
      <pubDate>Tue, 31 Mar 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-03-31-synthetic-sense-or-synthetic-nonsense-when-ai-trains-on-itself/</guid>
      <description>A mechanism-first reading of PRCO shows why multimodal AI needs separately optimized evidence extraction, not just final-answer reinforcement.</description>
    </item>
    <item>
      <title>From Blueprints to Prompts: Automating Building–Grid Intelligence with LLM Agents</title>
      <link>https://cognaptus.com/blog/2026-03-30-from-blueprints-to-prompts-automating-buildinggrid-intelligence-with-llm-agents/</link>
      <pubDate>Mon, 30 Mar 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-03-30-from-blueprints-to-prompts-automating-buildinggrid-intelligence-with-llm-agents/</guid>
      <description>AutoB2G shows how LLM agents can turn building–grid simulation from a manual engineering workflow into a structured, executable, and repairable automation pipeline.</description>
    </item>
    <item>
      <title>When Reasoning Pays (and When It Cheats): Fixing RL Signals in LLM Training</title>
      <link>https://cognaptus.com/blog/2026-03-30-when-reasoning-pays-and-when-it-cheats-fixing-rl-signals-in-llm-training/</link>
      <pubDate>Mon, 30 Mar 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-03-30-when-reasoning-pays-and-when-it-cheats-fixing-rl-signals-in-llm-training/</guid>
      <description>A mechanism-first reading of PAPO, showing why separating correctness rewards from process rubrics can keep reasoning-model RL useful without paying models to perform for the judge.</description>
    </item>
    <item>
      <title>Don’t Train Harder—Train Smarter: The Hidden Economics of RL for LLMs</title>
      <link>https://cognaptus.com/blog/2026-03-29-dont-train-hardertrain-smarter-the-hidden-economics-of-rl-for-llms/</link>
      <pubDate>Sun, 29 Mar 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-03-29-dont-train-hardertrain-smarter-the-hidden-economics-of-rl-for-llms/</guid>
      <description>A mechanism-first reading of HIVE, a prompt-selection method that cuts waste in RL training by finding the moving learning edge before expensive rollouts begin.</description>
    </item>
    <item>
      <title>Drive My Way: When Autonomous Cars Start Having Personalities</title>
      <link>https://cognaptus.com/blog/2026-03-28-drive-my-way-when-autonomous-cars-start-having-personalities/</link>
      <pubDate>Sat, 28 Mar 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-03-28-drive-my-way-when-autonomous-cars-start-having-personalities/</guid>
      <description>A mechanism-first reading of Drive My Way, showing how personalized autonomous driving moves from preset modes to learned preference alignment across driver habits, language intent, and safety-efficiency-comfort trade-offs.</description>
    </item>
    <item>
      <title>When Models Disagree With Themselves: Turning Multimodal Conflict into Signal</title>
      <link>https://cognaptus.com/blog/2026-03-27-when-models-disagree-with-themselves-turning-multimodal-conflict-into-signal/</link>
      <pubDate>Fri, 27 Mar 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-03-27-when-models-disagree-with-themselves-turning-multimodal-conflict-into-signal/</guid>
      <description>R-C2 shows how multimodal disagreement can become a label-free reward signal for more reliable AI agents, if businesses treat consistency as a diagnostic rather than a slogan.</description>
    </item>
    <item>
      <title>Completeness Is Not Optional — Why Game-Playing AI Finally Learned to Finish What It Starts</title>
      <link>https://cognaptus.com/blog/2026-03-26-completeness-is-not-optional-why-gameplaying-ai-finally-learned-to-finish-what-it-starts/</link>
      <pubDate>Thu, 26 Mar 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-03-26-completeness-is-not-optional-why-gameplaying-ai-finally-learned-to-finish-what-it-starts/</guid>
      <description>A mechanism-first reading of why completion turns unbounded minimax search from a clever heuristic into a finite-time complete planning method for perfect-information games.</description>
    </item>
    <item>
      <title>Learning from Failure: When LLMs Finally Pay Attention</title>
      <link>https://cognaptus.com/blog/2026-03-23-learning-from-failure-when-llms-finally-pay-attention/</link>
      <pubDate>Mon, 23 Mar 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-03-23-learning-from-failure-when-llms-finally-pay-attention/</guid>
      <description>A mechanism-first reading of HeRL, a reinforcement learning framework that turns failed LLM outputs and unmet rubrics into guided exploration signals.</description>
    </item>
    <item>
      <title>Walking the Line: When Robots Learn to Step Like Humans (Without the Drama)</title>
      <link>https://cognaptus.com/blog/2026-03-22-walking-the-line-when-robots-learn-to-step-like-humans-without-the-drama/</link>
      <pubDate>Sun, 22 Mar 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-03-22-walking-the-line-when-robots-learn-to-step-like-humans-without-the-drama/</guid>
      <description>A mechanism-first reading of PRIOR, a single-stage Isaac Lab framework that makes humanoid locomotion more robust by simplifying the training stack rather than adding more machinery.</description>
    </item>
    <item>
      <title>Themis Knows Best: When AI Judges Start Training Other AI</title>
      <link>https://cognaptus.com/blog/2026-03-20-themis-knows-best-when-ai-judges-start-training-other-ai/</link>
      <pubDate>Fri, 20 Mar 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-03-20-themis-knows-best-when-ai-judges-start-training-other-ai/</guid>
      <description>OS-Themis shows that the hard part of training GUI agents is not merely choosing a stronger judge, but building an evidence pipeline that knows which UI steps actually deserve reward.</description>
    </item>
    <item>
      <title>From Retry to Recovery: Teaching AI Agents to Learn from Their Own Mistakes</title>
      <link>https://cognaptus.com/blog/2026-03-18-from-retry-to-recovery-teaching-ai-agents-to-learn-from-their-own-mistakes/</link>
      <pubDate>Wed, 18 Mar 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-03-18-from-retry-to-recovery-teaching-ai-agents-to-learn-from-their-own-mistakes/</guid>
      <description>A close reading of LEAFE, a reflective-experience training framework that shifts AI agents from blind retry loops toward internalized recovery behavior.</description>
    </item>
    <item>
      <title>The Slides That Explain Themselves: When AI Learns to Reverse Its Own Thinking</title>
      <link>https://cognaptus.com/blog/2026-03-18-the-slides-that-explain-themselves-when-ai-learns-to-reverse-its-own-thinking/</link>
      <pubDate>Wed, 18 Mar 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-03-18-the-slides-that-explain-themselves-when-ai-learns-to-reverse-its-own-thinking/</guid>
      <description>A mechanism-first reading of how inverse specification rewards train slide-generation agents to preserve intent, not merely produce prettier decks.</description>
    </item>
    <item>
      <title>Mind Over Machine: When AGI Starts Thinking in Needs</title>
      <link>https://cognaptus.com/blog/2026-03-17-mind-over-machine-when-agi-starts-thinking-in-needs/</link>
      <pubDate>Tue, 17 Mar 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-03-17-mind-over-machine-when-agi-starts-thinking-in-needs/</guid>
      <description>A mechanism-first reading of a proposed artificial psyche architecture, and why its practical value lies less in human-like emotions than in need-aware control for autonomous agents.</description>
    </item>
    <item>
      <title>When Right Meets Wrong: Teaching LLMs by Letting Their Mistakes Talk</title>
      <link>https://cognaptus.com/blog/2026-03-16-when-right-meets-wrong-teaching-llms-by-letting-their-mistakes-talk/</link>
      <pubDate>Mon, 16 Mar 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-03-16-when-right-meets-wrong-teaching-llms-by-letting-their-mistakes-talk/</guid>
      <description>A mechanism-first reading of BiCC and RCC, showing how successful and failed reasoning traces can improve GRPO-style training without adding inference-time overhead.</description>
    </item>
    <item>
      <title>Too Smart to Share: When AI Agents Get Smarter, Systems Get Worse</title>
      <link>https://cognaptus.com/blog/2026-03-14-too-smart-to-share-when-ai-agents-get-smarter-systems-get-worse/</link>
      <pubDate>Sat, 14 Mar 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-03-14-too-smart-to-share-when-ai-agents-get-smarter-systems-get-worse/</guid>
      <description>A mechanism-first reading of why more adaptive AI agents can overload shared resources under scarcity—and why capacity per agent should be checked before upgrading intelligence.</description>
    </item>
    <item>
      <title>Agents That Learn From Their Own Mistakes: The Rise of Retroactive AI</title>
      <link>https://cognaptus.com/blog/2026-03-12-agents-that-learn-from-their-own-mistakes-the-rise-of-retroactive-ai/</link>
      <pubDate>Thu, 12 Mar 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-03-12-agents-that-learn-from-their-own-mistakes-the-rise-of-retroactive-ai/</guid>
      <description>A mechanism-first reading of RetroAgent, a reinforcement learning framework that teaches LLM agents to improve from partial progress, reflected lessons, and controlled memory retrieval.</description>
    </item>
    <item>
      <title>Mirror, Mirror on the Agent: Teaching LLMs to Judge Their Own Actions</title>
      <link>https://cognaptus.com/blog/2026-03-12-mirror-mirror-on-the-agent-teaching-llms-to-judge-their-own-actions/</link>
      <pubDate>Thu, 12 Mar 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-03-12-mirror-mirror-on-the-agent-teaching-llms-to-judge-their-own-actions/</guid>
      <description>A mechanism-first reading of Agentic Critical Training and why teaching agents to compare actions may matter more than teaching them to explain themselves.</description>
    </item>
    <item>
      <title>The Long Conversation Problem: How MAPO Teaches AI to Care Over Time</title>
      <link>https://cognaptus.com/blog/2026-03-10-the-long-conversation-problem-how-mapo-teaches-ai-to-care-over-time/</link>
      <pubDate>Tue, 10 Mar 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-03-10-the-long-conversation-problem-how-mapo-teaches-ai-to-care-over-time/</guid>
      <description>A mechanism-first reading of MICA shows why long-horizon AI agents need rewards for conversational progress, not just isolated good replies.</description>
    </item>
    <item>
      <title>Teaching Reinforcement Learning to Think Before It Acts</title>
      <link>https://cognaptus.com/blog/2026-03-09-teaching-reinforcement-learning-to-think-before-it-acts/</link>
      <pubDate>Mon, 09 Mar 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-03-09-teaching-reinforcement-learning-to-think-before-it-acts/</guid>
      <description>A mechanism-first reading of H2RL, a neuro-symbolic reinforcement learning framework that uses logic as training scaffolding rather than inference-time baggage.</description>
    </item>
    <item>
      <title>When the Streets Flood, Let the AI Drive: Reinforcement Learning for Climate‑Resilient Cities</title>
      <link>https://cognaptus.com/blog/2026-03-09-when-the-streets-flood-let-the-ai-drive-reinforcement-learning-for-climateresilient-cities/</link>
      <pubDate>Mon, 09 Mar 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-03-09-when-the-streets-flood-let-the-ai-drive-reinforcement-learning-for-climateresilient-cities/</guid>
      <description>A case-first reading of how reinforcement learning can turn long-term flood adaptation from a fixed infrastructure plan into a staged, testable capital-allocation strategy.</description>
    </item>
    <item>
      <title>Bending the Beam, Not the Brain: What RL with Perfect Rewards Still Can’t Teach LLMs</title>
      <link>https://cognaptus.com/blog/2026-03-05-bending-the-beam-not-the-brain-what-rl-with-perfect-rewards-still-cant-teach-llms/</link>
      <pubDate>Thu, 05 Mar 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-03-05-bending-the-beam-not-the-brain-what-rl-with-perfect-rewards-still-cant-teach-llms/</guid>
      <description>BeamPERL shows that exact physics rewards can specialize compact LLMs, but they do not automatically produce transferable scientific reasoning.</description>
    </item>
    <item>
      <title>Dare to Benchmark: Why Data Science Agents Still Trip Over Their Own Pipelines</title>
      <link>https://cognaptus.com/blog/2026-03-02-dare-to-benchmark-why-data-science-agents-still-trip-over-their-own-pipelines/</link>
      <pubDate>Mon, 02 Mar 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-03-02-dare-to-benchmark-why-data-science-agents-still-trip-over-their-own-pipelines/</guid>
      <description>DARE-bench shows why AI data-science agents need verifiable workflow discipline, not just better final-answer accuracy.</description>
    </item>
    <item>
      <title>When Buffers Bite Back: Teaching AI to Respect Pallets in Flexible Job Shops</title>
      <link>https://cognaptus.com/blog/2026-03-02-when-buffers-bite-back-teaching-ai-to-respect-pallets-in-flexible-job-shops/</link>
      <pubDate>Mon, 02 Mar 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-03-02-when-buffers-bite-back-teaching-ai-to-respect-pallets-in-flexible-job-shops/</guid>
      <description>A mechanism-first reading of how limited pallets and material-kitting rules turn flexible job-shop scheduling into a shared-resource learning problem.</description>
    </item>
    <item>
      <title>When Failure Pays Dividends: Recycling Reasoning in RLVR with SCOPE</title>
      <link>https://cognaptus.com/blog/2026-03-02-when-failure-pays-dividends-recycling-reasoning-in-rlvr-with-scope/</link>
      <pubDate>Mon, 02 Mar 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-03-02-when-failure-pays-dividends-recycling-reasoning-in-rlvr-with-scope/</guid>
      <description>SCOPE shows how reasoning failures can become usable training signal when the correct prefix is preserved, the first error is localized, and only the broken suffix is repaired.</description>
    </item>
    <item>
      <title>Mind the Gap: Why Agency Isn’t Intelligence (Yet)</title>
      <link>https://cognaptus.com/blog/2026-02-28-mind-the-gap-why-agency-isnt-intelligence-yet/</link>
      <pubDate>Sat, 28 Feb 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-02-28-mind-the-gap-why-agency-isnt-intelligence-yet/</guid>
      <description>A new information-theoretic framework argues that today’s AI systems can act and learn, but still lack the self-monitoring architecture required for intelligence.</description>
    </item>
    <item>
      <title>Template Thinking: Why Your Next AI Agent Should Steal from Cognitive Science</title>
      <link>https://cognaptus.com/blog/2026-02-28-template-thinking-why-your-next-ai-agent-should-steal-from-cognitive-science/</link>
      <pubDate>Sat, 28 Feb 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-02-28-template-thinking-why-your-next-ai-agent-should-steal-from-cognitive-science/</guid>
      <description>A practical reading of how cognitive models and classic AI algorithms can serve as reusable templates for designing interpretable, task-fit language agents.</description>
    </item>
    <item>
      <title>When Agents Ask for Help: Teaching LLMs the Art of Expert Collaboration</title>
      <link>https://cognaptus.com/blog/2026-02-28-when-agents-ask-for-help-teaching-llms-the-art-of-expert-collaboration/</link>
      <pubDate>Sat, 28 Feb 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-02-28-when-agents-ask-for-help-teaching-llms-the-art-of-expert-collaboration/</guid>
      <description>A mechanism-first reading of AHCE, a framework that teaches LLM agents when to escalate to human experts and how to turn messy advice into executable action.</description>
    </item>
    <item>
      <title>Divide &amp; Verify: When Decomposition Finally Learns to Behave</title>
      <link>https://cognaptus.com/blog/2026-02-26-divide-verify-when-decomposition-finally-learns-to-behave/</link>
      <pubDate>Thu, 26 Feb 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-02-26-divide-verify-when-decomposition-finally-learns-to-behave/</guid>
      <description>A mechanism-first reading of DAD, a claim-decomposition framework that shows factuality pipelines need trained interfaces, not merely stronger verifiers.</description>
    </item>
    <item>
      <title>Reasoning Is Optional. Optimization Is Not: Rethinking VLA Training with NORD</title>
      <link>https://cognaptus.com/blog/2026-02-25-reasoning-is-optional-optimization-is-not-rethinking-vla-training-with-nord/</link>
      <pubDate>Wed, 25 Feb 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-02-25-reasoning-is-optional-optimization-is-not-rethinking-vla-training-with-nord/</guid>
      <description>NoRD shows that reasoning-free autonomous-driving VLAs can be competitive when the real bottleneck—difficulty-biased reinforcement learning—is fixed rather than hidden under more annotation.</description>
    </item>
    <item>
      <title>Memory in the Mean Field: Teaching Macro Agents to Remember</title>
      <link>https://cognaptus.com/blog/2026-02-24-memory-in-the-mean-field-teaching-macro-agents-to-remember/</link>
      <pubDate>Tue, 24 Feb 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-02-24-memory-in-the-mean-field-teaching-macro-agents-to-remember/</guid>
      <description>A mechanism-first reading of RSPG, a method that lets mean-field game agents use public memory without exploding the state space.</description>
    </item>
    <item>
      <title>Diffusing to Coordinate: When Multi-Agent RL Learns to Breathe</title>
      <link>https://cognaptus.com/blog/2026-02-23-diffusing-to-coordinate-when-multiagent-rl-learns-to-breathe/</link>
      <pubDate>Mon, 23 Feb 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-02-23-diffusing-to-coordinate-when-multiagent-rl-learns-to-breathe/</guid>
      <description>A mechanism-first reading of OMAD, an online multi-agent diffusion policy framework that turns expressive action generation into coordinated exploration.</description>
    </item>
    <item>
      <title>Causal Brews: Why Your Feature Engineering Needs a Graph Before a Grid Search</title>
      <link>https://cognaptus.com/blog/2026-02-19-causal-brews-why-your-feature-engineering-needs-a-graph-before-a-grid-search/</link>
      <pubDate>Thu, 19 Feb 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-02-19-causal-brews-why-your-feature-engineering-needs-a-graph-before-a-grid-search/</guid>
      <description>A mechanism-first reading of CAFE, a causally guided automated feature engineering framework that uses causal graphs as soft search priors rather than magical truth machines.</description>
    </item>
    <item>
      <title>From Guesswork to Generative Foresight: Why Diffusion Models May Fix Multi-Agent Blind Spots</title>
      <link>https://cognaptus.com/blog/2026-02-18-from-guesswork-to-generative-foresight-why-diffusion-models-may-fix-multiagent-blind-spots/</link>
      <pubDate>Wed, 18 Feb 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-02-18-from-guesswork-to-generative-foresight-why-diffusion-models-may-fix-multiagent-blind-spots/</guid>
      <description>GlobeDiff shows why partial observability in multi-agent systems is less a memory problem than a generative state-inference problem.</description>
    </item>
    <item>
      <title>From Simulation to Strategy: When Autonomous Systems Start Auditing Themselves</title>
      <link>https://cognaptus.com/blog/2026-02-17-from-simulation-to-strategy-when-autonomous-systems-start-auditing-themselves/</link>
      <pubDate>Tue, 17 Feb 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-02-17-from-simulation-to-strategy-when-autonomous-systems-start-auditing-themselves/</guid>
      <description>A mechanism-first reading of MAC-AMP, a closed-loop multi-agent system that turns AI peer review into executable reward signals for antimicrobial peptide design.</description>
    </item>
    <item>
      <title>It Takes Two to Think: Why AI’s Future May Be Social Before It’s Smart</title>
      <link>https://cognaptus.com/blog/2026-02-17-it-takes-two-to-think-why-ais-future-may-be-social-before-its-smart/</link>
      <pubDate>Tue, 17 Feb 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-02-17-it-takes-two-to-think-why-ais-future-may-be-social-before-its-smart/</guid>
      <description>A mechanism-first reading of why high-quality social friction, not just bigger models or longer Chain-of-Thought, may become a core training lever for better AI agents.</description>
    </item>
    <item>
      <title>Signal Over Noise: Why Multimodal RL Needs to Know What to Ignore</title>
      <link>https://cognaptus.com/blog/2026-02-14-signal-over-noise-why-multimodal-rl-needs-to-know-what-to-ignore/</link>
      <pubDate>Sat, 14 Feb 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-02-14-signal-over-noise-why-multimodal-rl-needs-to-know-what-to-ignore/</guid>
      <description>MAPLE shows that multimodal reinforcement learning becomes more stable when training knows which signals are actually required, not merely which signals are available.</description>
    </item>
    <item>
      <title>Checklist Capital: Reinforcing Agents Without Verifiable Rewards</title>
      <link>https://cognaptus.com/blog/2026-02-13-checklist-capital-reinforcing-agents-without-verifiable-rewards/</link>
      <pubDate>Fri, 13 Feb 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-02-13-checklist-capital-reinforcing-agents-without-verifiable-rewards/</guid>
      <description>How CM2 turns open-ended agent behavior into evidence-grounded checklist rewards, and why sparse reward assignment can be safer than denser step-level signals.</description>
    </item>
    <item>
      <title>Thinking About Thinking: When LLMs Start Writing Their Own Report Cards</title>
      <link>https://cognaptus.com/blog/2026-02-13-thinking-about-thinking-when-llms-start-writing-their-own-report-cards/</link>
      <pubDate>Fri, 13 Feb 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-02-13-thinking-about-thinking-when-llms-start-writing-their-own-report-cards/</guid>
      <description>RLCER shows how self-evolving rubrics can turn reinforcement learning from answer checking into process-level reasoning supervision.</description>
    </item>
    <item>
      <title>Code-SHARP: When Agents Start Writing Their Own Ambitions</title>
      <link>https://cognaptus.com/blog/2026-02-11-codesharp-when-agents-start-writing-their-own-ambitions/</link>
      <pubDate>Wed, 11 Feb 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-02-11-codesharp-when-agents-start-writing-their-own-ambitions/</guid>
      <description>A mechanism-first reading of CODE-SHARP, showing how hierarchical reward programs turn foundation models into offline skill-library builders rather than runtime puppeteers.</description>
    </item>
    <item>
      <title>Stop Wasting Tokens: ESTAR and the Economics of Early Reasoning Exit</title>
      <link>https://cognaptus.com/blog/2026-02-11-stop-wasting-tokens-estar-and-the-economics-of-early-reasoning-exit/</link>
      <pubDate>Wed, 11 Feb 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-02-11-stop-wasting-tokens-estar-and-the-economics-of-early-reasoning-exit/</guid>
      <description>A mechanism-first reading of ESTAR, a paper that turns reasoning efficiency from a blunt length-control problem into a per-instance early-exit decision.</description>
    </item>
    <item>
      <title>World-Building for Agents: When Synthetic Environments Become Real Advantage</title>
      <link>https://cognaptus.com/blog/2026-02-11-worldbuilding-for-agents-when-synthetic-environments-become-real-advantage/</link>
      <pubDate>Wed, 11 Feb 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-02-11-worldbuilding-for-agents-when-synthetic-environments-become-real-advantage/</guid>
      <description>A mechanism-first look at why executable synthetic environments, not just synthetic tasks, may become the real training infrastructure for enterprise agents.</description>
    </item>
    <item>
      <title>Drafts, Then Do Better: Teaching LLMs to Outgrow Their Own Reasoning</title>
      <link>https://cognaptus.com/blog/2026-02-10-drafts-then-do-better-teaching-llms-to-outgrow-their-own-reasoning/</link>
      <pubDate>Tue, 10 Feb 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-02-10-drafts-then-do-better-teaching-llms-to-outgrow-their-own-reasoning/</guid>
      <description>A mechanism-first reading of iGRPO, a training method that teaches reasoning models to improve beyond their own best drafts without adding inference-time latency.</description>
    </item>
    <item>
      <title>Agents Need Worlds, Not Prompts: Inside ScaleEnv’s Synthetic Environment Revolution</title>
      <link>https://cognaptus.com/blog/2026-02-09-agents-need-worlds-not-prompts-inside-scaleenvs-synthetic-environment-revolution/</link>
      <pubDate>Mon, 09 Feb 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-02-09-agents-need-worlds-not-prompts-inside-scaleenvs-synthetic-environment-revolution/</guid>
      <description>ScaleEnv shows why serious tool-use agents need executable, stateful, verifiable training worlds—not just better prompts or prettier tool-call examples.</description>
    </item>
    <item>
      <title>Learning to Inject: When Prompt Injection Becomes an Optimization Problem</title>
      <link>https://cognaptus.com/blog/2026-02-08-learning-to-inject-when-prompt-injection-becomes-an-optimization-problem/</link>
      <pubDate>Sun, 08 Feb 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-02-08-learning-to-inject-when-prompt-injection-becomes-an-optimization-problem/</guid>
      <description>AutoInject shows why prompt injection should be tested as an adaptive optimization problem, not merely as a list of hand-written attack templates.</description>
    </item>
    <item>
      <title>Quantum Routes, Real Gains: When Transformers Meet CVRP</title>
      <link>https://cognaptus.com/blog/2026-02-06-quantum-routes-real-gains-when-transformers-meet-cvrp/</link>
      <pubDate>Fri, 06 Feb 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-02-06-quantum-routes-real-gains-when-transformers-meet-cvrp/</guid>
      <description>A comparison-based reading of why hybrid quantum–classical routing models may be more useful than fully quantum ambition for near-term CVRP optimization.</description>
    </item>
    <item>
      <title>When VR Shooters Meet Discrete Events: Training Security Policies Without Endless Human Trials</title>
      <link>https://cognaptus.com/blog/2026-02-06-when-vr-shooters-meet-discrete-events-training-security-policies-without-endless-human-trials/</link>
      <pubDate>Fri, 06 Feb 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-02-06-when-vr-shooters-meet-discrete-events-training-security-policies-without-endless-human-trials/</guid>
      <description>A mechanism-first reading of how VR behavioral data can be compressed into a discrete-event simulator for scalable safety-policy learning—without pretending the learned robot policy is ready for deployment.</description>
    </item>
    <item>
      <title>Search-R2: When Retrieval Learns to Admit It Was Wrong</title>
      <link>https://cognaptus.com/blog/2026-02-04-searchr2-when-retrieval-learns-to-admit-it-was-wrong/</link>
      <pubDate>Wed, 04 Feb 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-02-04-searchr2-when-retrieval-learns-to-admit-it-was-wrong/</guid>
      <description>Search-R2 shows why reliable retrieval agents need local error repair, not just more search calls or larger rollout budgets.</description>
    </item>
    <item>
      <title>When Agents Stop Talking to the Wrong People</title>
      <link>https://cognaptus.com/blog/2026-02-04-when-agents-stop-talking-to-the-wrong-people/</link>
      <pubDate>Wed, 04 Feb 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-02-04-when-agents-stop-talking-to-the-wrong-people/</guid>
      <description>TodyComm shows why multi-agent AI systems need learned communication governance, not just more agents talking more often.</description>
    </item>
    <item>
      <title>Coaching the Swarm: Why Multi‑Agent RL Finally Scales</title>
      <link>https://cognaptus.com/blog/2026-02-03-coaching-the-swarm-why-multiagent-rl-finally-scales/</link>
      <pubDate>Tue, 03 Feb 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-02-03-coaching-the-swarm-why-multiagent-rl-finally-scales/</guid>
      <description>A mechanism-first reading of MAPPA, a process-reward method for turning multiagent LLM workflows from prompted collaboration into trainable systems.</description>
    </item>
    <item>
      <title>ThinkSafe: Teaching Models to Refuse Without Forgetting How to Think</title>
      <link>https://cognaptus.com/blog/2026-02-03-thinksafe-teaching-models-to-refuse-without-forgetting-how-to-think/</link>
      <pubDate>Tue, 03 Feb 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-02-03-thinksafe-teaching-models-to-refuse-without-forgetting-how-to-think/</guid>
      <description>A mechanism-first reading of ThinkSafe, a self-generated safety-alignment method that restores refusal behavior in reasoning models without paying the usual teacher-distillation tax.</description>
    </item>
    <item>
      <title>Grading the Doctor: How Health-SCORE Scales Judgment in Medical AI</title>
      <link>https://cognaptus.com/blog/2026-02-02-grading-the-doctor-how-healthscore-scales-judgment-in-medical-ai/</link>
      <pubDate>Mon, 02 Feb 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-02-02-grading-the-doctor-how-healthscore-scales-judgment-in-medical-ai/</guid>
      <description>Health-SCORE shows how reusable, adaptive rubrics can turn expert medical judgment into a scalable control layer for healthcare LLMs.</description>
    </item>
    <item>
      <title>MemCtrl: Teaching Small Models What *Not* to Remember</title>
      <link>https://cognaptus.com/blog/2026-01-31-memctrl-teaching-small-models-what-not-to-remember/</link>
      <pubDate>Sat, 31 Jan 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-01-31-memctrl-teaching-small-models-what-not-to-remember/</guid>
      <description>A mechanism-first reading of MemCtrl, a lightweight memory-control method that teaches small embodied AI agents to filter observations before they flood context.</description>
    </item>
    <item>
      <title>When Rewards Learn to Think: Teaching Agents *How* They’re Wrong</title>
      <link>https://cognaptus.com/blog/2026-01-30-when-rewards-learn-to-think-teaching-agents-how-theyre-wrong/</link>
      <pubDate>Fri, 30 Jan 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-01-30-when-rewards-learn-to-think-teaching-agents-how-theyre-wrong/</guid>
      <description>Agent-RRM shows why the next useful reward model for agents may need to diagnose bad reasoning, not merely score final answers.</description>
    </item>
    <item>
      <title>Learning to Discover at Test Time: When Search Learns Back</title>
      <link>https://cognaptus.com/blog/2026-01-24-learning-to-discover-at-test-time-when-search-learns-back/</link>
      <pubDate>Sat, 24 Jan 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-01-24-learning-to-discover-at-test-time-when-search-learns-back/</guid>
      <description>A mechanism-first reading of TTT-Discover, where test-time search becomes test-time learning for verifiable discovery problems.</description>
    </item>
    <item>
      <title>When LLMs Get a Laptop: Why Sandboxes Might Be the Real AGI Benchmark</title>
      <link>https://cognaptus.com/blog/2026-01-24-when-llms-get-a-laptop-why-sandboxes-might-be-the-real-agi-benchmark/</link>
      <pubDate>Sat, 24 Jan 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-01-24-when-llms-get-a-laptop-why-sandboxes-might-be-the-real-agi-benchmark/</guid>
      <description>A mechanism-first reading of LLM-in-Sandbox, showing why giving models a minimal computer environment may matter more than adding another clever prompt.</description>
    </item>
    <item>
      <title>Skeletons in the Proof Closet: When Lean Provers Need Hints, Not More Compute</title>
      <link>https://cognaptus.com/blog/2026-01-23-skeletons-in-the-proof-closet-when-lean-provers-need-hints-not-more-compute/</link>
      <pubDate>Fri, 23 Jan 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-01-23-skeletons-in-the-proof-closet-when-lean-provers-need-hints-not-more-compute/</guid>
      <description>A diagnostic study of RL-trained Lean provers shows that more inference samples can repeat the same failed strategy, while tactic-level structural hints recover proofs that random sampling misses.</description>
    </item>
    <item>
      <title>Your Agent Remembers—But Can It Forget?</title>
      <link>https://cognaptus.com/blog/2026-01-22-your-agent-remembersbut-can-it-forget/</link>
      <pubDate>Thu, 22 Jan 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-01-22-your-agent-remembersbut-can-it-forget/</guid>
      <description>Why memory rewriting, not just memory retention, is becoming a hard diagnostic problem for reinforcement learning agents.</description>
    </item>
    <item>
      <title>Deep GraphRAG: Teaching Retrieval to Think in Layers</title>
      <link>https://cognaptus.com/blog/2026-01-20-deep-graphrag-teaching-retrieval-to-think-in-layers/</link>
      <pubDate>Tue, 20 Jan 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-01-20-deep-graphrag-teaching-retrieval-to-think-in-layers/</guid>
      <description>A mechanism-first reading of Deep GraphRAG, showing why hierarchical retrieval and adaptive reward balancing matter more than another benchmark table.</description>
    </item>
    <item>
      <title>GUI-Eyes: When Agents Learn Where to Look</title>
      <link>https://cognaptus.com/blog/2026-01-17-guieyes-when-agents-learn-where-to-look/</link>
      <pubDate>Sat, 17 Jan 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-01-17-guieyes-when-agents-learn-where-to-look/</guid>
      <description>GUI-Eyes shows why GUI agents need learned active perception, not just bigger models staring harder at screenshots.</description>
    </item>
    <item>
      <title>MatchTIR: Stop Paying Every Token the Same Salary</title>
      <link>https://cognaptus.com/blog/2026-01-17-matchtir-stop-paying-every-token-the-same-salary/</link>
      <pubDate>Sat, 17 Jan 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-01-17-matchtir-stop-paying-every-token-the-same-salary/</guid>
      <description>MatchTIR shows why multi-turn tool agents need fine-grained credit assignment, not just bigger models or louder final-answer rewards.</description>
    </item>
    <item>
      <title>Seeing Is Thinking: When Multimodal Reasoning Stops Talking and Starts Drawing</title>
      <link>https://cognaptus.com/blog/2026-01-15-seeing-is-thinking-when-multimodal-reasoning-stops-talking-and-starts-drawing/</link>
      <pubDate>Thu, 15 Jan 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-01-15-seeing-is-thinking-when-multimodal-reasoning-stops-talking-and-starts-drawing/</guid>
      <description>A mechanism-first reading of Omni-R1, a paper that turns multimodal reasoning from text-only explanation into interleaved visual action.</description>
    </item>
    <item>
      <title>When Agents Learn Without Learning: Test-Time Reinforcement Comes of Age</title>
      <link>https://cognaptus.com/blog/2026-01-15-when-agents-learn-without-learning-testtime-reinforcement-comes-of-age/</link>
      <pubDate>Thu, 15 Jan 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-01-15-when-agents-learn-without-learning-testtime-reinforcement-comes-of-age/</guid>
      <description>MATTRL shows how multi-agent systems can improve at inference time by turning past collaboration into credit-assigned, retrievable operational memory.</description>
    </item>
    <item>
      <title>Scaling the Sandbox: When LLM Agents Need Better Worlds</title>
      <link>https://cognaptus.com/blog/2026-01-14-scaling-the-sandbox-when-llm-agents-need-better-worlds/</link>
      <pubDate>Wed, 14 Jan 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-01-14-scaling-the-sandbox-when-llm-agents-need-better-worlds/</guid>
      <description>EnvScaler shows why useful LLM agents may need scalable executable worlds—not just more prompts, more tools, or larger models.</description>
    </item>
    <item>
      <title>Click, Fail, Learn: Why BEPA Might Be the First GUI Agent That Actually Improves</title>
      <link>https://cognaptus.com/blog/2026-01-12-click-fail-learn-why-bepa-might-be-the-first-gui-agent-that-actually-improves/</link>
      <pubDate>Mon, 12 Jan 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-01-12-click-fail-learn-why-bepa-might-be-the-first-gui-agent-that-actually-improves/</guid>
      <description>A mechanism-first reading of BEPA, showing why GUI agents need policy-aligned assimilation rather than static expert imitation.</description>
    </item>
    <item>
      <title>STACKPLANNER: When Agents Learn to Forget</title>
      <link>https://cognaptus.com/blog/2026-01-12-stackplanner-when-agents-learn-to-forget/</link>
      <pubDate>Mon, 12 Jan 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-01-12-stackplanner-when-agents-learn-to-forget/</guid>
      <description>A mechanism-first reading of STACKPLANNER, showing why long-horizon agent systems may need memory control more than bigger context windows.</description>
    </item>
    <item>
      <title>TowerMind: When Language Models Learn That Towers Have Consequences</title>
      <link>https://cognaptus.com/blog/2026-01-12-towermind-when-language-models-learn-that-towers-have-consequences/</link>
      <pubDate>Mon, 12 Jan 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-01-12-towermind-when-language-models-learn-that-towers-have-consequences/</guid>
      <description>TowerMind shows why valid actions are not enough: LLM agents can follow rules, waste resources, and still fail at dynamic planning.</description>
    </item>
    <item>
      <title>Stuck on Repeat: When Reinforcement Learning Fails to Notice the Rules Changed</title>
      <link>https://cognaptus.com/blog/2026-01-11-stuck-on-repeat-when-reinforcement-learning-fails-to-notice-the-rules-changed/</link>
      <pubDate>Sun, 11 Jan 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-01-11-stuck-on-repeat-when-reinforcement-learning-fails-to-notice-the-rules-changed/</guid>
      <description>TAPE shows why reinforcement learning agents can fail when the interface stays familiar but the hidden rules of the world change.</description>
    </item>
    <item>
      <title>When LLMs Stop Talking and Start Driving</title>
      <link>https://cognaptus.com/blog/2026-01-11-when-llms-stop-talking-and-start-driving/</link>
      <pubDate>Sun, 11 Jan 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-01-11-when-llms-stop-talking-and-start-driving/</guid>
      <description>A mechanism-first reading of how LLM semantic understanding, knowledge graphs, and reinforcement learning can turn enterprise text into operational decisions.</description>
    </item>
    <item>
      <title>From Tokens to Topology: Teaching LLMs to Think in Simulink</title>
      <link>https://cognaptus.com/blog/2026-01-09-from-tokens-to-topology-teaching-llms-to-think-in-simulink/</link>
      <pubDate>Fri, 09 Jan 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-01-09-from-tokens-to-topology-teaching-llms-to-think-in-simulink/</guid>
      <description>A mechanism-first reading of SimuAgent, a Simulink modeling assistant that shows why representation, validation, curriculum, and reflection matter more than merely attaching a larger model to an engineering tool.</description>
    </item>
    <item>
      <title>Graph Before You Leap: How ComfySearch Makes AI Workflows Actually Work</title>
      <link>https://cognaptus.com/blog/2026-01-08-graph-before-you-leap-how-comfysearch-makes-ai-workflows-actually-work/</link>
      <pubDate>Thu, 08 Jan 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-01-08-graph-before-you-leap-how-comfysearch-makes-ai-workflows-actually-work/</guid>
      <description>ComfySearch shows why reliable AI workflow generation depends less on bigger planning and more on validated graph editing, repair, and uncertainty-aware exploration.</description>
    </item>
    <item>
      <title>Trading Without Cheating: Teaching LLMs to Reason When Markets Lie</title>
      <link>https://cognaptus.com/blog/2026-01-08-trading-without-cheating-teaching-llms-to-reason-when-markets-lie/</link>
      <pubDate>Thu, 08 Jan 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-01-08-trading-without-cheating-teaching-llms-to-reason-when-markets-lie/</guid>
      <description>A mechanism-first reading of Trade-R1, a framework for training financial LLM agents when market returns are objective but dangerously noisy.</description>
    </item>
    <item>
      <title>Jerk Matters: Teaching Reinforcement Learning Some Mechanical Manners</title>
      <link>https://cognaptus.com/blog/2026-01-06-jerk-matters-teaching-reinforcement-learning-some-mechanical-manners/</link>
      <pubDate>Tue, 06 Jan 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-01-06-jerk-matters-teaching-reinforcement-learning-some-mechanical-manners/</guid>
      <description>A mechanism-first reading of how higher-order action regularization can make reinforcement learning policies smoother, less switch-happy, and more practical for HVAC and other physical-control systems.</description>
    </item>
    <item>
      <title>Small Models, Big Brains: Falcon-H1R and the Economics of Reasoning</title>
      <link>https://cognaptus.com/blog/2026-01-06-small-models-big-brains-falconh1r-and-the-economics-of-reasoning/</link>
      <pubDate>Tue, 06 Jan 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-01-06-small-models-big-brains-falconh1r-and-the-economics-of-reasoning/</guid>
      <description>Falcon-H1R shows that the economics of reasoning depends less on parameter count alone and more on architecture, curated training, verifiable rewards, and confidence-aware inference.</description>
    </item>
    <item>
      <title>Prompted to Death: When Words Become a Denial-of-Service</title>
      <link>https://cognaptus.com/blog/2026-01-04-prompted-to-death-when-words-become-a-denialofservice/</link>
      <pubDate>Sun, 04 Jan 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-01-04-prompted-to-death-when-words-become-a-denialofservice/</guid>
      <description>A comparison of ordinary prompts, evolutionary search, and reinforcement-learning attackers reveals why an LLM’s willingness to stop is becoming an operational security property.</description>
    </item>
    <item>
      <title>Safety First, Reward Second — But Not Last</title>
      <link>https://cognaptus.com/blog/2026-01-04-safety-first-reward-second-but-not-last/</link>
      <pubDate>Sun, 04 Jan 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-01-04-safety-first-reward-second-but-not-last/</guid>
      <description>Why hard-constrained reinforcement learning must preserve the zero-violation objective without training agents to become safely useless.</description>
    </item>
    <item>
      <title>Gated, Not Gagged: Fixing Reward Hacking in Diffusion RL</title>
      <link>https://cognaptus.com/blog/2026-01-03-gated-not-gagged-fixing-reward-hacking-in-diffusion-rl/</link>
      <pubDate>Sat, 03 Jan 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-01-03-gated-not-gagged-fixing-reward-hacking-in-diffusion-rl/</guid>
      <description>GARDO shows how selective regularization, moving reference policies, and quality-gated diversity incentives can reduce reward hacking without suffocating diffusion-model learning.</description>
    </item>
    <item>
      <title>Deployed, Retrained, Repeated: When LLMs Learn From Being Used</title>
      <link>https://cognaptus.com/blog/2026-01-01-deployed-retrained-repeated-when-llms-learn-from-being-used/</link>
      <pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-01-01-deployed-retrained-repeated-when-llms-learn-from-being-used/</guid>
      <description>How selective reuse of validated deployment traces can quietly turn ordinary supervised fine-tuning into an implicit reinforcement-learning loop.</description>
    </item>
    <item>
      <title>Let It Flow: ROME and the Economics of Agentic Craft</title>
      <link>https://cognaptus.com/blog/2026-01-01-let-it-flow-rome-and-the-economics-of-agentic-craft/</link>
      <pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-01-01-let-it-flow-rome-and-the-economics-of-agentic-craft/</guid>
      <description>ROME shows that competitive agent performance depends less on possessing the largest model than on operating a disciplined learning loop around execution, verification, training, and control.</description>
    </item>
    <item>
      <title>When Maps Start Thinking: Teaching Agents to Plan in Time and Space</title>
      <link>https://cognaptus.com/blog/2026-01-01-when-maps-start-thinking-teaching-agents-to-plan-in-time-and-space/</link>
      <pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-01-01-when-maps-start-thinking-teaching-agents-to-plan-in-time-and-space/</guid>
      <description>STAgent shows how a stable tool sandbox, aggressive log curation, and model-relative training can turn operational data into a specialized planning agent.</description>
    </item>
    <item>
      <title>The Invariance Trap: Why Matching Distributions Can Break Your Model</title>
      <link>https://cognaptus.com/blog/2025-12-31-the-invariance-trap-why-matching-distributions-can-break-your-model/</link>
      <pubDate>Wed, 31 Dec 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-12-31-the-invariance-trap-why-matching-distributions-can-break-your-model/</guid>
      <description>Why symmetric domain alignment can erase useful information—and how directional simulation offers a safer objective for transfer learning.</description>
    </item>
    <item>
      <title>Replay the Losses, Win the Game: When Failed Instructions Become Your Best Training Data</title>
      <link>https://cognaptus.com/blog/2025-12-30-replay-the-losses-win-the-game-when-failed-instructions-become-your-best-training-data/</link>
      <pubDate>Tue, 30 Dec 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-12-30-replay-the-losses-win-the-game-when-failed-instructions-become-your-best-training-data/</guid>
      <description>Hindsight Instruction Replay shows how partially compliant model responses can become useful positive training examples without replacing clear binary rewards with ambiguous partial-credit scores.</description>
    </item>
    <item>
      <title>When Actions Need Nuance: Learning to Act Precisely Only When It Matters</title>
      <link>https://cognaptus.com/blog/2025-12-28-when-actions-need-nuance-learning-to-act-precisely-only-when-it-matters/</link>
      <pubDate>Sun, 28 Dec 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-12-28-when-actions-need-nuance-learning-to-act-precisely-only-when-it-matters/</guid>
      <description>Why PEARL’s context-sensitive abstractions point to a more efficient way of learning hybrid actions: precise control only where precision changes the outcome.</description>
    </item>
    <item>
      <title>When Policies Read Each Other: Teaching Agents to Cooperate by Reading the Code</title>
      <link>https://cognaptus.com/blog/2025-12-26-when-policies-read-each-other-teaching-agents-to-cooperate-by-reading-the-code/</link>
      <pubDate>Fri, 26 Dec 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-12-26-when-policies-read-each-other-teaching-agents-to-cooperate-by-reading-the-code/</guid>
      <description>A mechanism-first reading of how programmatic policies let LLM agents condition on each other’s source code, and why the business value is inspectable coordination rather than magic cooperation.</description>
    </item>
    <item>
      <title>When One Clip Isn’t Enough: Teaching LLMs to Watch Long Videos Like Adults</title>
      <link>https://cognaptus.com/blog/2025-12-24-when-one-clip-isnt-enough-teaching-llms-to-watch-long-videos-like-adults/</link>
      <pubDate>Wed, 24 Dec 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-12-24-when-one-clip-isnt-enough-teaching-llms-to-watch-long-videos-like-adults/</guid>
      <description>LongVideoAgent shows why long-video AI needs selective grounding and targeted perception, not just bigger context windows.</description>
    </item>
    <item>
      <title>Policy Gradients Grow Up: Teaching RL to Think in Domains</title>
      <link>https://cognaptus.com/blog/2025-12-23-policy-gradients-grow-up-teaching-rl-to-think-in-domains/</link>
      <pubDate>Tue, 23 Dec 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-12-23-policy-gradients-grow-up-teaching-rl-to-think-in-domains/</guid>
      <description>A mechanism-first reading of how actor-critic reinforcement learning can generalize in symbolic planning when policies learn reusable state transitions instead of memorizing instance-specific actions.</description>
    </item>
    <item>
      <title>When Benchmarks Rot: Why Static ‘Gold Labels’ Are a Clinical Liability</title>
      <link>https://cognaptus.com/blog/2025-12-23-when-benchmarks-rot-why-static-gold-labels-are-a-clinical-liability/</link>
      <pubDate>Tue, 23 Dec 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-12-23-when-benchmarks-rot-why-static-gold-labels-are-a-clinical-liability/</guid>
      <description>A closer look at how flawed benchmark labels can distort clinical AI evaluation and become harmful reward signals during model training.</description>
    </item>
    <item>
      <title>About Time: When Reinforcement Learning Finally Learns to Wait</title>
      <link>https://cognaptus.com/blog/2025-12-22-about-time-when-reinforcement-learning-finally-learns-to-wait/</link>
      <pubDate>Mon, 22 Dec 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-12-22-about-time-when-reinforcement-learning-finally-learns-to-wait/</guid>
      <description>Why Timed Reward Machines matter for RL systems where doing the right thing too early or too late is still wrong.</description>
    </item>
    <item>
      <title>Same Moves, Different Minds: Rashomon Comes to Sequential Decision-Making</title>
      <link>https://cognaptus.com/blog/2025-12-22-same-moves-different-minds-rashomon-comes-to-sequential-decisionmaking/</link>
      <pubDate>Mon, 22 Dec 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-12-22-same-moves-different-minds-rashomon-comes-to-sequential-decisionmaking/</guid>
      <description>A mechanism-first reading of why behaviorally identical AI policies can still hide different explanations, different robustness profiles, and different verification costs.</description>
    </item>
    <item>
      <title>Darwin, But Make It Neural: When Networks Learn to Mutate Themselves</title>
      <link>https://cognaptus.com/blog/2025-12-21-darwin-but-make-it-neural-when-networks-learn-to-mutate-themselves/</link>
      <pubDate>Sun, 21 Dec 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-12-21-darwin-but-make-it-neural-when-networks-learn-to-mutate-themselves/</guid>
      <description>A mechanism-first reading of Self-Referential Graph HyperNetworks, and why their real business lesson is adaptive exploration rather than magical self-improving AI.</description>
    </item>
    <item>
      <title>When Rewards Learn to See: Teaching Humanoids What the Ground Looks Like</title>
      <link>https://cognaptus.com/blog/2025-12-21-when-rewards-learn-to-see-teaching-humanoids-what-the-ground-looks-like/</link>
      <pubDate>Sun, 21 Dec 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-12-21-when-rewards-learn-to-see-teaching-humanoids-what-the-ground-looks-like/</guid>
      <description>A mechanism-first reading of E-SDS, a framework that makes automated reward generation environment-aware for humanoid locomotion.</description>
    </item>
    <item>
      <title>Stop or Strip? Teaching Disassembly When to Quit</title>
      <link>https://cognaptus.com/blog/2025-12-20-stop-or-strip-teaching-disassembly-when-to-quit/</link>
      <pubDate>Sat, 20 Dec 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-12-20-stop-or-strip-teaching-disassembly-when-to-quit/</guid>
      <description>A mechanism-first reading of state-augmented disassembly graphs and why circular-economy triage is a sequential decision problem, not a green ranking exercise.</description>
    </item>
    <item>
      <title>Adversaries, Slices, and the Art of Teaching LLMs to Think</title>
      <link>https://cognaptus.com/blog/2025-12-19-adversaries-slices-and-the-art-of-teaching-llms-to-think/</link>
      <pubDate>Fri, 19 Dec 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-12-19-adversaries-slices-and-the-art-of-teaching-llms-to-think/</guid>
      <description>A mechanism-first reading of GAR, an adversarial reinforcement learning framework that teaches LLMs through slice-level criticism rather than final-answer applause.</description>
    </item>
    <item>
      <title>Stepwise Think-Critique: Teaching LLMs to Doubt Themselves (Productively)</title>
      <link>https://cognaptus.com/blog/2025-12-18-stepwise-thinkcritique-teaching-llms-to-doubt-themselves-productively/</link>
      <pubDate>Thu, 18 Dec 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-12-18-stepwise-thinkcritique-teaching-llms-to-doubt-themselves-productively/</guid>
      <description>A close reading of Stepwise Think-Critique, a single-model approach that interleaves reasoning and self-critique to make mathematical reasoning more inspectable without pretending self-audit is already trust.</description>
    </item>
    <item>
      <title>Picking Less to Know More: When RAG Stops Ranking and Starts Thinking</title>
      <link>https://cognaptus.com/blog/2025-12-17-picking-less-to-know-more-when-rag-stops-ranking-and-starts-thinking/</link>
      <pubDate>Wed, 17 Dec 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-12-17-picking-less-to-know-more-when-rag-stops-ranking-and-starts-thinking/</guid>
      <description>A mechanism-first reading of Context-Picker, a RAG framework that treats evidence selection as minimal sufficient subset choice rather than fixed Top-K retrieval.</description>
    </item>
    <item>
      <title>When Reasoning Needs Receipts: Graphs Over Guesswork in Medical AI</title>
      <link>https://cognaptus.com/blog/2025-12-16-when-reasoning-needs-receipts-graphs-over-guesswork-in-medical-ai/</link>
      <pubDate>Tue, 16 Dec 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-12-16-when-reasoning-needs-receipts-graphs-over-guesswork-in-medical-ai/</guid>
      <description>MedCEG shows how evidence graphs can turn medical LLM reasoning from persuasive prose into auditable process supervision.</description>
    </item>
    <item>
      <title>When Rewards Learn Back: Evolution, but With Gradients</title>
      <link>https://cognaptus.com/blog/2025-12-16-when-rewards-learn-back-evolution-but-with-gradients/</link>
      <pubDate>Tue, 16 Dec 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-12-16-when-rewards-learn-back-evolution-but-with-gradients/</guid>
      <description>A mechanism-first reading of DERL: how reward design becomes a learnable outer-loop problem, and why that matters for enterprise agents.</description>
    </item>
    <item>
      <title>When Tokens Become Actions: A Policy Gradient Built for Transformers</title>
      <link>https://cognaptus.com/blog/2025-12-14-when-tokens-become-actions-a-policy-gradient-built-for-transformers/</link>
      <pubDate>Sun, 14 Dec 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-12-14-when-tokens-become-actions-a-policy-gradient-built-for-transformers/</guid>
      <description>A mechanism-first reading of GPG, a Transformer-aware policy-gradient framework that turns output segments into trainable macro-actions for LLM agents.</description>
    </item>
    <item>
      <title>RL Grows a Third Dimension: Why Text-to-3D Finally Needs Reasoning</title>
      <link>https://cognaptus.com/blog/2025-12-13-rl-grows-a-third-dimension-why-textto3d-finally-needs-reasoning/</link>
      <pubDate>Sat, 13 Dec 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-12-13-rl-grows-a-third-dimension-why-textto3d-finally-needs-reasoning/</guid>
      <description>A mechanism-first reading of why reinforcement learning for text-to-3D generation needs specialized rewards, token-level optimization, reasoning-heavy benchmarks, and coarse-to-fine training.</description>
    </item>
    <item>
      <title>Agents Without Time: When Reinforcement Learning Meets Higher-Order Causality</title>
      <link>https://cognaptus.com/blog/2025-12-12-agents-without-time-when-reinforcement-learning-meets-higherorder-causality/</link>
      <pubDate>Fri, 12 Dec 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-12-12-agents-without-time-when-reinforcement-learning-meets-higherorder-causality/</guid>
      <description>Wilson’s formal bridge between deterministic POMDP agents and process functions shows why causal order can become an architectural constraint in multi-agent AI.</description>
    </item>
    <item>
      <title>Fault, Interrupted: How RIFT Reinvents Reliability for the LLM Hardware Era</title>
      <link>https://cognaptus.com/blog/2025-12-11-fault-interrupted-how-rift-reinvents-reliability-for-the-llm-hardware-era/</link>
      <pubDate>Thu, 11 Dec 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-12-11-fault-interrupted-how-rift-reinvents-reliability-for-the-llm-hardware-era/</guid>
      <description>RIFT shows how LLM accelerator reliability can move from broad random fault campaigns to targeted, workflow-ready diagnosis of the few faults that actually matter.</description>
    </item>
    <item>
      <title>Teach Me Once: How One‑Shot LLM Guidance Reshapes Hierarchical Planning</title>
      <link>https://cognaptus.com/blog/2025-12-11-teach-me-once-how-oneshot-llm-guidance-reshapes-hierarchical-planning/</link>
      <pubDate>Thu, 11 Dec 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-12-11-teach-me-once-how-oneshot-llm-guidance-reshapes-hierarchical-planning/</guid>
      <description>A mechanism-first reading of SCOPE, a paper showing how LLM guidance can be moved from runtime planning into one-time subgoal initialization for cheaper hierarchical agents.</description>
    </item>
    <item>
      <title>Clipped, Grouped, and Decoupled: Why RL Fine-Tuning Still Behaves Like a Negotiation With Chaos</title>
      <link>https://cognaptus.com/blog/2025-12-09-clipped-grouped-and-decoupled-why-rl-finetuning-still-behaves-like-a-negotiation-with-chaos/</link>
      <pubDate>Tue, 09 Dec 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-12-09-clipped-grouped-and-decoupled-why-rl-finetuning-still-behaves-like-a-negotiation-with-chaos/</guid>
      <description>A comparison-based reading of PPO, GRPO, and DAPO that shows why RL fine-tuning for reasoning is less about algorithmic fashion and more about managing instability, shortcuts, and evaluation boundaries.</description>
    </item>
    <item>
      <title>No Prompt Left Behind: How Shopee’s CompassMax Reinvents RL for Giant MoE Models</title>
      <link>https://cognaptus.com/blog/2025-12-09-no-prompt-left-behind-how-shopees-compassmax-reinvents-rl-for-giant-moe-models/</link>
      <pubDate>Tue, 09 Dec 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-12-09-no-prompt-left-behind-how-shopees-compassmax-reinvents-rl-for-giant-moe-models/</guid>
      <description>Shopee’s CompassMax-V3-Thinking paper shows that scaling RL for giant MoE models is less about buying more rollouts and more about making every rollout produce usable learning signal.</description>
    </item>
    <item>
      <title>Prompt, Probe, Persist: How Multi‑Turn RL Is Rewriting the Jailbreak Playbook</title>
      <link>https://cognaptus.com/blog/2025-12-09-prompt-probe-persist-how-multiturn-rl-is-rewriting-the-jailbreak-playbook/</link>
      <pubDate>Tue, 09 Dec 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-12-09-prompt-probe-persist-how-multiturn-rl-is-rewriting-the-jailbreak-playbook/</guid>
      <description>A mechanism-first reading of TROJail, showing why multi-turn jailbreak risk is less about one bad prompt than about trajectory-level strategy, sparse credit assignment, and semantic drift.</description>
    </item>
    <item>
      <title>Worlds Within Reach: How SIMA 2 Turns Virtual Environments into Training Grounds for Generalist Agents</title>
      <link>https://cognaptus.com/blog/2025-12-06-worlds-within-reach-how-sima-2-turns-virtual-environments-into-training-grounds-for-generalist-agents/</link>
      <pubDate>Sat, 06 Dec 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-12-06-worlds-within-reach-how-sima-2-turns-virtual-environments-into-training-grounds-for-generalist-agents/</guid>
      <description>A mechanism-first reading of SIMA 2 and what it shows about training embodied agents in virtual worlds before asking them to survive the real one.</description>
    </item>
    <item>
      <title>Think Fast, Think Slow: How Omni-AutoThink Rewrites Multimodal Reasoning</title>
      <link>https://cognaptus.com/blog/2025-12-04-think-fast-think-slow-how-omniautothink-rewrites-multimodal-reasoning/</link>
      <pubDate>Thu, 04 Dec 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-12-04-think-fast-think-slow-how-omniautothink-rewrites-multimodal-reasoning/</guid>
      <description>A mechanism-first reading of Omni-AutoThink, showing why adaptive multimodal reasoning is a training problem, not a prompting trick.</description>
    </item>
    <item>
      <title>From Building Blocks to Breakthroughs: Why RL Finally Teaches Models to Think</title>
      <link>https://cognaptus.com/blog/2025-12-02-from-building-blocks-to-breakthroughs-why-rl-finally-teaches-models-to-think/</link>
      <pubDate>Tue, 02 Dec 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-12-02-from-building-blocks-to-breakthroughs-why-rl-finally-teaches-models-to-think/</guid>
      <description>A mechanism-first reading of why reinforcement learning helps models compose memory and context only after supervised training has built the right atomic skills.</description>
    </item>
    <item>
      <title>Rules of Attraction: How LLMs Learn to Judge Better Than We Do</title>
      <link>https://cognaptus.com/blog/2025-12-02-rules-of-attraction-how-llms-learn-to-judge-better-than-we-do/</link>
      <pubDate>Tue, 02 Dec 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-12-02-rules-of-attraction-how-llms-learn-to-judge-better-than-we-do/</guid>
      <description>A mechanism-first reading of learned-rule-augmented LLM evaluators, and why the next AI judge may need better rubrics before bigger brains.</description>
    </item>
    <item>
      <title>Proof, Policy, and Probability: How DeepProofLog Rewrites the Rules of Reasoning</title>
      <link>https://cognaptus.com/blog/2025-11-12-proof-policy-and-probability-how-deepprooflog-rewrites-the-rules-of-reasoning/</link>
      <pubDate>Wed, 12 Nov 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-11-12-proof-policy-and-probability-how-deepprooflog-rewrites-the-rules-of-reasoning/</guid>
      <description>A deep dive into DeepProofLog, the system that treats logic proving as a reinforcement learning problem, bridging symbolic reasoning and neural scalability.</description>
    </item>
    <item>
      <title>Forget Me Not: How IterResearch Rebuilt Long-Horizon Thinking for AI Agents</title>
      <link>https://cognaptus.com/blog/2025-11-11-forget-me-not-how-iterresearch-rebuilt-longhorizon-thinking-for-ai-agents/</link>
      <pubDate>Tue, 11 Nov 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-11-11-forget-me-not-how-iterresearch-rebuilt-longhorizon-thinking-for-ai-agents/</guid>
      <description>Alibaba&amp;#39;s IterResearch proposes a Markovian rethink of AI agents—teaching them to forget strategically and reason longer without drowning in their own thoughts.</description>
    </item>
    <item>
      <title>When Agents Think in Waves: Diffusion Models for Ad Hoc Teamwork</title>
      <link>https://cognaptus.com/blog/2025-11-11-when-agents-think-in-waves-diffusion-models-for-ad-hoc-teamwork/</link>
      <pubDate>Tue, 11 Nov 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-11-11-when-agents-think-in-waves-diffusion-models-for-ad-hoc-teamwork/</guid>
      <description>How diffusion-based policies help AI agents predict, adapt, and collaborate with unseen teammates in dynamic environments.</description>
    </item>
    <item>
      <title>Agents on the Clock: How TPS-Bench Exposes the Time Management Problem in AI</title>
      <link>https://cognaptus.com/blog/2025-11-06-agents-on-the-clock-how-tpsbench-exposes-the-time-management-problem-in-ai/</link>
      <pubDate>Thu, 06 Nov 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-11-06-agents-on-the-clock-how-tpsbench-exposes-the-time-management-problem-in-ai/</guid>
      <description>TPS-Bench reveals how large language model agents can plan but still fail to schedule—offering a lens on the growing challenge of efficiency in AI orchestration.</description>
    </item>
    <item>
      <title>When the Sandbox Thinks Back: Training AI Agents in Simulated Realities</title>
      <link>https://cognaptus.com/blog/2025-11-06-when-the-sandbox-thinks-back-training-ai-agents-in-simulated-realities/</link>
      <pubDate>Thu, 06 Nov 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-11-06-when-the-sandbox-thinks-back-training-ai-agents-in-simulated-realities/</guid>
      <description>Microsoft and UW’s Simia framework replaces brittle agent environments with LLM-powered simulations—teaching AI to reason by imagining its own world.</description>
    </item>
    <item>
      <title>When Markets Dream: The Rise of Agentic AI Traders</title>
      <link>https://cognaptus.com/blog/2025-11-05-when-markets-dream-the-rise-of-agentic-ai-traders/</link>
      <pubDate>Wed, 05 Nov 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-11-05-when-markets-dream-the-rise-of-agentic-ai-traders/</guid>
      <description>How multi-agent reinforcement learning is reshaping algorithmic trading from rule-based systems to autonomous market participants.</description>
    </item>
    <item>
      <title>Evolving Minds: How LLMs Teach Themselves Through Adversarial Cooperation</title>
      <link>https://cognaptus.com/blog/2025-11-01-evolving-minds-how-llms-teach-themselves-through-adversarial-cooperation/</link>
      <pubDate>Sat, 01 Nov 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-11-01-evolving-minds-how-llms-teach-themselves-through-adversarial-cooperation/</guid>
      <description>Multi-Agent Evolve transforms the idea of self-play into a triadic co-evolution—where one model acts as questioner, solver, and judge—to cultivate reasoning without human supervision.</description>
    </item>
    <item>
      <title>Deep Thinking, Dynamic Acting: How DeepAgent Redefines General Reasoning</title>
      <link>https://cognaptus.com/blog/2025-10-31-deep-thinking-dynamic-acting-how-deepagent-redefines-general-reasoning/</link>
      <pubDate>Fri, 31 Oct 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-10-31-deep-thinking-dynamic-acting-how-deepagent-redefines-general-reasoning/</guid>
      <description>DeepAgent bridges the gap between large reasoning models and autonomous agents with memory folding, dynamic tool discovery, and end-to-end reinforcement learning.</description>
    </item>
    <item>
      <title>Plan&gt;Then&gt;Profit: Reinforcement Learning That Teaches LLMs to Outline Before They Think</title>
      <link>https://cognaptus.com/blog/2025-10-09-planthenprofit-reinforcement-learning-that-teaches-llms-to-outline-before-they-think/</link>
      <pubDate>Thu, 09 Oct 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-10-09-planthenprofit-reinforcement-learning-that-teaches-llms-to-outline-before-they-think/</guid>
      <description>PTA‑GRPO shows that training models to sketch a high‑level plan and then reason—while rewarding the plan itself—beats classic RLVR like GRPO across math benchmarks. Here’s why this matters for AI product builders.</description>
    </item>
    <item>
      <title>Paths, Not Parrots: When RL Makes LLMs Plan—and When It Doesn’t</title>
      <link>https://cognaptus.com/blog/2025-10-03-paths-not-parrots-when-rl-makes-llms-planand-when-it-doesnt/</link>
      <pubDate>Fri, 03 Oct 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-10-03-paths-not-parrots-when-rl-makes-llms-planand-when-it-doesnt/</guid>
      <description>A practitioner’s take on new theory showing why RL beats SFT for planning in LLMs, why policy-gradient collapses diversity, and how Q-learning with process rewards preserves both accuracy and breadth.</description>
    </item>
    <item>
      <title>Tool Time, Any Time: Inside RLFactory’s Plug‑and‑Play RL for Multi‑Turn Tool Use</title>
      <link>https://cognaptus.com/blog/2025-09-13-tool-time-any-time-inside-rlfactorys-plugandplay-rl-for-multiturn-tool-use/</link>
      <pubDate>Sat, 13 Sep 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-09-13-tool-time-any-time-inside-rlfactorys-plugandplay-rl-for-multiturn-tool-use/</guid>
      <description>RLFactory reframes agent RL around tool feedback, async calls, and modular rewards—delivering faster, more stable training for real-world, multi-turn tool use.</description>
    </item>
    <item>
      <title>Mind the Gap: How OSC Turns Agent Chatter into Compound Intelligence</title>
      <link>https://cognaptus.com/blog/2025-09-11-mind-the-gap-how-osc-turns-agent-chatter-into-compound-intelligence/</link>
      <pubDate>Thu, 11 Sep 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-09-11-mind-the-gap-how-osc-turns-agent-chatter-into-compound-intelligence/</guid>
      <description>OSC adds a learned ‘cognitive gap’ layer between expert selection and aggregation—cutting redundancy and lifting win rates by aligning what agents say with what teammates actually need.</description>
    </item>
    <item>
      <title>Plan, Don&#39;t Spam: The Goldilocks Rule for Test‑Time Compute</title>
      <link>https://cognaptus.com/blog/2025-09-08-plan-dont-spam-the-goldilocks-rule-for-testtime-compute/</link>
      <pubDate>Mon, 08 Sep 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-09-08-plan-dont-spam-the-goldilocks-rule-for-testtime-compute/</guid>
      <description>Dynamic planning lets LLM agents decide when to think hard and when to just act—cutting cost, reducing thrash, and improving long‑horizon performance.</description>
    </item>
    <item>
      <title>From Prompts to Policies: The Agentic RL Playbook</title>
      <link>https://cognaptus.com/blog/2025-09-04-from-prompts-to-policies-the-agentic-rl-playbook/</link>
      <pubDate>Thu, 04 Sep 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-09-04-from-prompts-to-policies-the-agentic-rl-playbook/</guid>
      <description>A deep read on a new survey that reframes LLMs as adaptive, tool-using agents trained with reinforcement signals across long horizons—and what that means for builders.</description>
    </item>
    <item>
      <title>Rollouts, Not GPUs: Why AWorld’s 14.6× Speedup Rewires Agent Training</title>
      <link>https://cognaptus.com/blog/2025-08-31-rollouts-not-gpus-why-aworlds-146-speedup-rewires-agent-training/</link>
      <pubDate>Sun, 31 Aug 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-08-31-rollouts-not-gpus-why-aworlds-146-speedup-rewires-agent-training/</guid>
      <description>AWorld reframes the bottleneck in agentic AI from gradient compute to experience generation—showing how distributed rollouts lift GAIA pass@1 and make RL-on-agents practical.</description>
    </item>
    <item>
      <title>Talk, Tool, Triumph: Training Agents with Real Conversations</title>
      <link>https://cognaptus.com/blog/2025-08-27-talk-tool-triumph-training-agents-with-real-conversations/</link>
      <pubDate>Wed, 27 Aug 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-08-27-talk-tool-triumph-training-agents-with-real-conversations/</guid>
      <description>MUA-RL shows why agentic AI should learn by talking to users while calling tools—optimizing for real task completion rather than pretty trajectories.</description>
    </item>
    <item>
      <title>Charting a Better Bedside: When Agentic RL Teaches RAG to Diagnose</title>
      <link>https://cognaptus.com/blog/2025-08-24-charting-a-better-bedside-when-agentic-rl-teaches-rag-to-diagnose/</link>
      <pubDate>Sun, 24 Aug 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-08-24-charting-a-better-bedside-when-agentic-rl-teaches-rag-to-diagnose/</guid>
      <description>Deep-DxSearch trains a medical agent to choose when to reason, lookup, match cases, search literature, and finally diagnose—showing why co-optimizing retrieval and reasoning with RL outpaces prompt-only RAG.</description>
    </item>
    <item>
      <title>Click Less, Do More: Why API-GUI &#43; RL Could Finally Make Desktop Agents Useful</title>
      <link>https://cognaptus.com/blog/2025-08-20-click-less-do-more-why-apigui-rl-could-finally-make-desktop-agents-useful/</link>
      <pubDate>Wed, 20 Aug 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-08-20-click-less-do-more-why-apigui-rl-could-finally-make-desktop-agents-useful/</guid>
      <description>ComputerRL pairs a machine-friendly API layer with GUI control and a two-phase RL&#43;SFT regimen (‘Entropulse’) to set a new OSWorld high-water mark—hinting at what it takes to make agents reliable enough for real work.</description>
    </item>
    <item>
      <title>Atom by Atom, Better Research: How Fine-Grained Rewards Make Agentic Search Smarter</title>
      <link>https://cognaptus.com/blog/2025-08-19-atom-by-atom-better-research-how-finegrained-rewards-make-agentic-search-smarter/</link>
      <pubDate>Tue, 19 Aug 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-08-19-atom-by-atom-better-research-how-finegrained-rewards-make-agentic-search-smarter/</guid>
      <description>Ant Group’s Atom-Searcher introduces ‘Atomic Thoughts’ and fine‑grained rewards to fix gradient conflicts and reward sparsity in RL-trained research agents—pushing past today’s deep-research ceilings.</description>
    </item>
    <item>
      <title>When Collusion Cuts Prices: The Counterintuitive Economics of Algorithmic Bidding</title>
      <link>https://cognaptus.com/blog/2025-08-13-when-collusion-cuts-prices-the-counterintuitive-economics-of-algorithmic-bidding/</link>
      <pubDate>Wed, 13 Aug 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-08-13-when-collusion-cuts-prices-the-counterintuitive-economics-of-algorithmic-bidding/</guid>
      <description>Why reinforcement learning agents on e-commerce platforms sometimes conspire to lower prices—and what it means for consumers, sellers, and platforms.</description>
    </item>
    <item>
      <title>Search When It Hurts: How UR² Teaches Models to Retrieve Only When Needed</title>
      <link>https://cognaptus.com/blog/2025-08-11-search-when-it-hurts-how-ur-teaches-models-to-retrieve-only-when-needed/</link>
      <pubDate>Mon, 11 Aug 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-08-11-search-when-it-hurts-how-ur-teaches-models-to-retrieve-only-when-needed/</guid>
      <description>UR² blends retrieval and reasoning with reinforcement learning and a difficulty-aware curriculum—pushing 3B–8B open models toward GPT‑4o‑mini territory while keeping costs sane.</description>
    </item>
    <item>
      <title>From Zero to Reasoning Hero: How R-Zero Teaches Itself Without Human Data</title>
      <link>https://cognaptus.com/blog/2025-08-08-from-zero-to-reasoning-hero-how-rzero-teaches-itself-without-human-data/</link>
      <pubDate>Fri, 08 Aug 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-08-08-from-zero-to-reasoning-hero-how-rzero-teaches-itself-without-human-data/</guid>
      <description>R-Zero replaces human-labeled datasets with a Challenger–Solver self-play loop, delivering substantial reasoning gains without a single pre-made task.</description>
    </item>
    <item>
      <title>From GUI Novice to Digital Native: How SEAgent Teaches Itself Software Autonomously</title>
      <link>https://cognaptus.com/blog/2025-08-07-from-gui-novice-to-digital-native-how-seagent-teaches-itself-software-autonomously/</link>
      <pubDate>Thu, 07 Aug 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-08-07-from-gui-novice-to-digital-native-how-seagent-teaches-itself-software-autonomously/</guid>
      <description>A deep dive into SEAgent, a self-evolving computer-use agent that learns to operate complex software through experiential reinforcement learning and curriculum-guided task generation.</description>
    </item>
    <item>
      <title>Thinking in Circles: How Self-Questioning LLMs Learn Without Labels</title>
      <link>https://cognaptus.com/blog/2025-08-06-thinking-in-circles-how-selfquestioning-llms-learn-without-labels/</link>
      <pubDate>Wed, 06 Aug 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-08-06-thinking-in-circles-how-selfquestioning-llms-learn-without-labels/</guid>
      <description>A new framework lets language models train themselves by generating and solving their own questions, improving reasoning without any curated data.</description>
    </item>
    <item>
      <title>Credit Where It&#39;s Due: How CAPO Brings Verifiable Precision to LLM Reasoning</title>
      <link>https://cognaptus.com/blog/2025-08-05-credit-where-its-due-how-capo-brings-verifiable-precision-to-llm-reasoning/</link>
      <pubDate>Tue, 05 Aug 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-08-05-credit-where-its-due-how-capo-brings-verifiable-precision-to-llm-reasoning/</guid>
      <description>CAPO introduces a novel method for verifiable, token-level credit assignment in reinforcement learning for LLMs, significantly improving reasoning precision and training stability.</description>
    </item>
    <item>
      <title>From Charts to Circuits: How TINs Rewire Technical Analysis for the AI Era</title>
      <link>https://cognaptus.com/blog/2025-08-03-from-charts-to-circuits-how-tins-rewire-technical-analysis-for-the-ai-era/</link>
      <pubDate>Sun, 03 Aug 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-08-03-from-charts-to-circuits-how-tins-rewire-technical-analysis-for-the-ai-era/</guid>
      <description>Technical Indicator Networks (TINs) turn classic trading heuristics like MACD into interpretable, trainable neural architectures—bridging the gap between traditional technical analysis and modern AI-powered trading.</description>
    </item>
    <item>
      <title>Judo, Not Armor: Strategic Deflection as a New Defense Against LLM Jailbreaks</title>
      <link>https://cognaptus.com/blog/2025-07-31-judo-not-armor-strategic-deflection-as-a-new-defense-against-llm-jailbreaks/</link>
      <pubDate>Thu, 31 Jul 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-07-31-judo-not-armor-strategic-deflection-as-a-new-defense-against-llm-jailbreaks/</guid>
      <description>Why SDeflection marks a conceptual shift in LLM security—redirecting harmful prompts rather than just refusing them.</description>
    </item>
    <item>
      <title>Stacking Alpha: How HARLF&#39;s Three-Tier Reinforcement Learner Beats the Market</title>
      <link>https://cognaptus.com/blog/2025-07-27-stacking-alpha-how-harlfs-threetier-reinforcement-learner-beats-the-market/</link>
      <pubDate>Sun, 27 Jul 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-07-27-stacking-alpha-how-harlfs-threetier-reinforcement-learner-beats-the-market/</guid>
      <description>A deep dive into HARLF, a hierarchical RL framework that combines FinBERT sentiment and market data to deliver 26% ROI in portfolio optimization.</description>
    </item>
    <item>
      <title>When Learning Goes Rogue: Fixing RL Biases in Economic Simulations</title>
      <link>https://cognaptus.com/blog/2025-07-27-when-learning-goes-rogue-fixing-rl-biases-in-economic-simulations/</link>
      <pubDate>Sun, 27 Jul 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-07-27-when-learning-goes-rogue-fixing-rl-biases-in-economic-simulations/</guid>
      <description>Why standard reinforcement learning misrepresents economic behavior, and how a calibrated mean-field approach restores theoretical consistency.</description>
    </item>
    <item>
      <title>Can You Spot the Bot? Why Detectability, Not Deception, Is the New AI Frontier</title>
      <link>https://cognaptus.com/blog/2025-07-26-can-you-spot-the-bot-why-detectability-not-deception-is-the-new-ai-frontier/</link>
      <pubDate>Sat, 26 Jul 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-07-26-can-you-spot-the-bot-why-detectability-not-deception-is-the-new-ai-frontier/</guid>
      <description>The Dual Turing Test flips the classic imitation game on its head, proposing a new framework where human judges—and automated systems—must detect even the most high-quality AI outputs.</description>
    </item>
    <item>
      <title>Think Twice, Then Speak: Deliberative Searcher and the Future of Reliable LLMs</title>
      <link>https://cognaptus.com/blog/2025-07-23-think-twice-then-speak-deliberative-searcher-and-the-future-of-reliable-llms/</link>
      <pubDate>Wed, 23 Jul 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-07-23-think-twice-then-speak-deliberative-searcher-and-the-future-of-reliable-llms/</guid>
      <description>A new paradigm in LLM design prioritizes reasoning over retrieval, introducing confidence-calibrated reinforcement learning to improve trust in open-domain QA.</description>
    </item>
    <item>
      <title>Simulate First, Invest Later: How Diffusion Models Are Reinventing Portfolio Optimization</title>
      <link>https://cognaptus.com/blog/2025-07-20-simulate-first-invest-later-how-diffusion-models-are-reinventing-portfolio-optimization/</link>
      <pubDate>Sun, 20 Jul 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-07-20-simulate-first-invest-later-how-diffusion-models-are-reinventing-portfolio-optimization/</guid>
      <description>A new method uses score-based diffusion models to simulate realistic market paths for training reinforcement learning agents that outperform traditional portfolio strategies.</description>
    </item>
    <item>
      <title>Fine-Tuning Isn’t Just Supervised: Why SFT Is Really RL in Disguise</title>
      <link>https://cognaptus.com/blog/2025-07-18-finetuning-isnt-just-supervised-why-sft-is-really-rl-in-disguise/</link>
      <pubDate>Fri, 18 Jul 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-07-18-finetuning-isnt-just-supervised-why-sft-is-really-rl-in-disguise/</guid>
      <description>Reframing supervised fine-tuning as a form of reinforcement learning changes how we align LLMs, and unlocks low-cost improvements with importance weighting.</description>
    </item>
    <item>
      <title>Train of Thought: How Long-Haul RL Unlocks LLM Reasoning Diversity</title>
      <link>https://cognaptus.com/blog/2025-07-18-train-of-thought-how-longhaul-rl-unlocks-llm-reasoning-diversity/</link>
      <pubDate>Fri, 18 Jul 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-07-18-train-of-thought-how-longhaul-rl-unlocks-llm-reasoning-diversity/</guid>
      <description>Why prolonged reinforcement learning—not just better prompts—is the key to more versatile, stable, and general reasoning in LLMs.</description>
    </item>
    <item>
      <title>Memory Games: The Data Contamination Crisis in Reinforcement Learning</title>
      <link>https://cognaptus.com/blog/2025-07-15-memory-games-the-data-contamination-crisis-in-reinforcement-learning/</link>
      <pubDate>Tue, 15 Jul 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-07-15-memory-games-the-data-contamination-crisis-in-reinforcement-learning/</guid>
      <description>Recent claims of reward-agnostic reasoning improvements in Qwen2.5 may be an illusion. A new study reveals how benchmark leakage is distorting our understanding of reinforcement learning for LLM reasoning.</description>
    </item>
    <item>
      <title>Reasoning at Scale: How DeepSeek Redefines the LLM Playbook</title>
      <link>https://cognaptus.com/blog/2025-07-15-reasoning-at-scale-how-deepseek-redefines-the-llm-playbook/</link>
      <pubDate>Tue, 15 Jul 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-07-15-reasoning-at-scale-how-deepseek-redefines-the-llm-playbook/</guid>
      <description>DeepSeek isn’t just another Chinese open LLM—it’s a radical redesign of how reasoning, efficiency, and openness intersect in the post-pretraining era.</description>
    </item>
    <item>
      <title>Backtrack to the Future: How ASTRO Teaches LLMs to Think Like Search Algorithms</title>
      <link>https://cognaptus.com/blog/2025-07-07-backtrack-to-the-future-how-astro-teaches-llms-to-think-like-search-algorithms/</link>
      <pubDate>Mon, 07 Jul 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-07-07-backtrack-to-the-future-how-astro-teaches-llms-to-think-like-search-algorithms/</guid>
      <description>ASTRO shows that by training LLMs to backtrack and self-reflect like search algorithms, even non-reasoning models like Llama 3 can be transformed into powerful math solvers.</description>
    </item>
    <item>
      <title>Talk is Flight: How RALLY Bridges Language and Learning in UAV Swarms</title>
      <link>https://cognaptus.com/blog/2025-07-07-talk-is-flight-how-rally-bridges-language-and-learning-in-uav-swarms/</link>
      <pubDate>Mon, 07 Jul 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-07-07-talk-is-flight-how-rally-bridges-language-and-learning-in-uav-swarms/</guid>
      <description>RALLY blends large language models with reinforcement learning to enable intelligent, role-adaptive control of UAV swarms in adversarial environments.</description>
    </item>
    <item>
      <title>Residual Learning: How Reinforcement Learning Is Speeding Up Portfolio Math</title>
      <link>https://cognaptus.com/blog/2025-07-06-residual-learning-how-reinforcement-learning-is-speeding-up-portfolio-math/</link>
      <pubDate>Sun, 06 Jul 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-07-06-residual-learning-how-reinforcement-learning-is-speeding-up-portfolio-math/</guid>
      <description>A novel RL-based solver adapts preconditioning on the fly to accelerate convergence in portfolio optimization and option pricing, slashing computational costs for real-time decision-making.</description>
    </item>
    <item>
      <title>Memory Over Matter: How MemAgent Redefines Long-Context Reasoning with Reinforcement Learning</title>
      <link>https://cognaptus.com/blog/2025-07-04-memory-over-matter-how-memagent-redefines-longcontext-reasoning-with-reinforcement-learning/</link>
      <pubDate>Fri, 04 Jul 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-07-04-memory-over-matter-how-memagent-redefines-longcontext-reasoning-with-reinforcement-learning/</guid>
      <description>MemAgent presents a radical solution to the long-context bottleneck in LLMs by training a memory-aware agent through reinforcement learning, enabling linear-time extrapolation to millions of tokens.</description>
    </item>
    <item>
      <title>The Reasoning Gymnasium: How Zero-Sum Games Shape Smarter LLMs</title>
      <link>https://cognaptus.com/blog/2025-07-01-the-reasoning-gymnasium-how-zerosum-games-shape-smarter-llms/</link>
      <pubDate>Tue, 01 Jul 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-07-01-the-reasoning-gymnasium-how-zerosum-games-shape-smarter-llms/</guid>
      <description>SPIRAL uses self-play in zero-sum games to cultivate emergent reasoning in LLMs without human supervision, outperforming traditional fine-tuning and fixed-opponent training.</description>
    </item>
    <item>
      <title>Playing with Strangers: A New Benchmark for Ad-Hoc Human-AI Teamwork</title>
      <link>https://cognaptus.com/blog/2025-06-27-playing-with-strangers-a-new-benchmark-for-adhoc-humanai-teamwork/</link>
      <pubDate>Fri, 27 Jun 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-06-27-playing-with-strangers-a-new-benchmark-for-adhoc-humanai-teamwork/</guid>
      <description>A new challenge using the game Hanabi brings us closer to human-compatible AI agents by enabling reproducible, low-cost evaluation of ad-hoc coordination.</description>
    </item>
    <item>
      <title>The Joy of Many Minds: How JoyAgents-R1 Unleashes the Power of Multi-LLM Reinforcement Learning</title>
      <link>https://cognaptus.com/blog/2025-06-25-the-joy-of-many-minds-how-joyagentsr1-unleashes-the-power-of-multillm-reinforcement-learning/</link>
      <pubDate>Wed, 25 Jun 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-06-25-the-joy-of-many-minds-how-joyagentsr1-unleashes-the-power-of-multillm-reinforcement-learning/</guid>
      <description>JoyAgents-R1 introduces a groundbreaking framework that enables multiple heterogeneous language model agents to evolve together using Group Relative Policy Optimization (GRPO), improving coordination, reasoning, and memory with minimal resources.</description>
    </item>
    <item>
      <title>Good Bot, Bad Reward: Fixing Feedback Loops in Vision-Language Reasoning</title>
      <link>https://cognaptus.com/blog/2025-06-13-good-bot-bad-reward-fixing-feedback-loops-in-visionlanguage-reasoning/</link>
      <pubDate>Fri, 13 Jun 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-06-13-good-bot-bad-reward-fixing-feedback-loops-in-visionlanguage-reasoning/</guid>
      <description>This article explores how reinforcement learning agents in vision-language tasks often succeed using flawed reasoning due to misaligned reward signals—and how better evaluation metrics like PR-BLEU can realign AI behavior with human logic.</description>
    </item>
    <item>
      <title>From Sparse to Smart: How PROGRM Elevates GUI Agent Training</title>
      <link>https://cognaptus.com/blog/2025-05-26-from-sparse-to-smart-how-progrm-elevates-gui-agent-training/</link>
      <pubDate>Mon, 26 May 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-05-26-from-sparse-to-smart-how-progrm-elevates-gui-agent-training/</guid>
      <description>A deep dive into PROGRM, a novel progress-based reward model that transforms reinforcement learning for GUI agents by delivering fine-grained, actionable feedback.</description>
    </item>
    <item>
      <title>Molding the Future: How DRL is Revolutionizing Process Optimization</title>
      <link>https://cognaptus.com/blog/2025-05-19-molding-the-future-how-drl-is-revolutionizing-process-optimization/</link>
      <pubDate>Mon, 19 May 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-05-19-molding-the-future-how-drl-is-revolutionizing-process-optimization/</guid>
      <description>Explore how Deep Reinforcement Learning (DRL) reshapes manufacturing with real-time profit-aware parameter control for injection molding.</description>
    </item>
    <item>
      <title>Cool Heads Prevail: Human-in-the-Loop AI for Smarter HVAC Careers</title>
      <link>https://cognaptus.com/blog/2025-05-12-cool-heads-prevail-humanintheloop-ai-for-smarter-hvac-careers/</link>
      <pubDate>Mon, 12 May 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-05-12-cool-heads-prevail-humanintheloop-ai-for-smarter-hvac-careers/</guid>
      <description>How feedback-driven AI is revolutionizing HVAC careers by balancing comfort, energy, and human input.</description>
    </item>
    <item>
      <title>Body of Proof: Why Embodied AI Needs More Than One Mind</title>
      <link>https://cognaptus.com/blog/2025-05-09-body-of-proof-why-embodied-ai-needs-more-than-one-mind/</link>
      <pubDate>Fri, 09 May 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-05-09-body-of-proof-why-embodied-ai-needs-more-than-one-mind/</guid>
      <description>Exploring how multi-agent embodied AI goes beyond static intelligence, leveraging interaction, coordination, and co-learning to thrive in real-world complexity.</description>
    </item>
    <item>
      <title>Policies with Purpose: How PPO Powers Smart Business Decisions</title>
      <link>https://cognaptus.com/blog/2025-05-05-policies-with-purpose-how-ppo-powers-smart-business-decisions/</link>
      <pubDate>Mon, 05 May 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-05-05-policies-with-purpose-how-ppo-powers-smart-business-decisions/</guid>
      <description>Exploring how Proximal Policy Optimization (PPO) and multi-dimensional reward modeling—originally used in spatial optimization for pollution control—can revolutionize decision-making in business environments with multiple, conflicting goals.</description>
    </item>
    <item>
      <title>From Infinite Paths to Intelligent Steps: How AI Learns What Matters</title>
      <link>https://cognaptus.com/blog/2025-04-28-from-infinite-paths-to-intelligent-steps-how-ai-learns-what-matters/</link>
      <pubDate>Mon, 28 Apr 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-04-28-from-infinite-paths-to-intelligent-steps-how-ai-learns-what-matters/</guid>
      <description>Exploring how generative affordance discovery transforms reinforcement learning by enabling agents to prune irrelevant actions, dramatically boosting sample efficiency and autonomy.</description>
    </item>
    <item>
      <title>When Smart AI Gets It Wrong: Diagnosing the Knowing-Doing Gap in Language Model Agents</title>
      <link>https://cognaptus.com/blog/2025-04-23-when-smart-ai-gets-it-wrong-diagnosing-the-knowingdoing-gap-in-language-model-agents/</link>
      <pubDate>Wed, 23 Apr 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-04-23-when-smart-ai-gets-it-wrong-diagnosing-the-knowingdoing-gap-in-language-model-agents/</guid>
      <description>A deep dive into why powerful language models still make simple mistakes—and how businesses can build agents that not only know, but act.</description>
    </item>
    <item>
      <title>Outrun the Herd, Not the Lion: A Smarter AI Strategy for Business Games</title>
      <link>https://cognaptus.com/blog/2025-04-13-outrun-the-herd-not-the-lion-a-smarter-ai-strategy-for-business-games/</link>
      <pubDate>Sun, 13 Apr 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-04-13-outrun-the-herd-not-the-lion-a-smarter-ai-strategy-for-business-games/</guid>
      <description>Why winning in business often means leveraging others’ missteps—not being flawless—and how a hybrid AI search algorithm like &amp;#39;search-contempt&amp;#39; points the way to more efficient decision-making.</description>
    </item>
    <item>
      <title>From Gomoku AI to Boardroom Breakthroughs: How Generative AI Can Transform Corporate Strategy</title>
      <link>https://cognaptus.com/blog/2025-03-28-from-gomoku-ai-to-boardroom-breakthroughs/</link>
      <pubDate>Fri, 28 Mar 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-03-28-from-gomoku-ai-to-boardroom-breakthroughs/</guid>
      <description>This article explores how innovations from Gomoku-playing LLMs—combining self-play, prompting, and reinforcement learning—can inspire a new generation of generative AI tools for corporate strategic decision-making under uncertainty.</description>
    </item>
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