The Latent Cost of Thinking: When LLM Reasoning Becomes a Liability
A mechanism-first reading of why longer LLM reasoning can amplify errors, not merely spend more tokens.
Cognaptus Insights
Industry thoughts, trends, and commentary.
The Model That Forgot Itself: Why LLMs Drift Without Knowing
A mechanism-first reading of why LLMs can appear consistent while silently changing their hidden goals across a conversation.
ARC-AGI-3 — When AI Stops Guessing and Starts Thinking
ARC-AGI-3 reframes agent evaluation around first-contact adaptation efficiency, separating real generalization from clever harness engineering.
Drive My Way: When Autonomous Cars Start Having Personalities
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.
Driving by Words: When LLMs Take the Wheel (Literally)
A mechanism-first reading of Vega, InstructScene, and why instruction-following driving is less about chatty cars than about changing the target policy itself.
Harnessing the Harness: When AI Stops Being a Model Problem
A comparison-based reading of Natural-Language Agent Harnesses and why the next layer of AI automation may be inspectable workflow policy, not another prompt trick.
Packing Memory, Not Problems: How Short Clips Teach AI to Think Long in Video
A mechanism-first reading of PackForcing, a long-video generation method that treats minute-scale video not as a bigger training problem but as a disciplined memory-management problem.
When Consensus is Just Noise: The Lottery Inside Collective AI
A mechanism-first reading of why multi-agent LLM agreement can emerge from amplified sampling noise rather than collective intelligence.
Agent Factories: When More AI Means Better Hardware
A mechanism-first reading of how multi-agent coding systems can reduce HLS design exploration cost without magically replacing hardware expertise.
EcoThink: When AI Learns to Think Less (and Achieve More)
A mechanism-first reading of EcoThink and what adaptive inference means for AI cost, latency, energy use, and enterprise agent design.