Diagram reviews are where many security problems first become visible. Not in the production logs. Not in the postmortem. Not after a user discovers that a tool-calling agent has confidently pushed private data into the wrong API. The humble architecture diagram is supposed to be the place where adults in the room ask: what can go wrong here? ...
Scale Fail: How Downsampling Becomes an Adversarial Backdoor for VLMs Resize. It is one of those engineering verbs that sounds too boring to threaten anyone. A user uploads a screenshot, invoice, inspection photo, interface capture, medical form, or product image. The system resizes it. The model reads it. The workflow moves on. ...
Scan, Plan, Report: When Agentic AI Starts Thinking Like a Radiologist Report writing is the visible part of radiology. It is also the part easiest for AI vendors to misunderstand. A radiology report looks like text, so the naive automation pitch is obvious: give the CT scan to a vision-language model, ask for a report, and let the model type faster than a human. Congratulations, we have reinvented autocomplete with more liability. ...
Meetings have a familiar failure mode. Someone states an early opinion, then spends the next thirty minutes “thinking through the issue” in a way that somehow makes the original opinion look increasingly inevitable. Evidence enters the room. Counterarguments are acknowledged. The conclusion remains suspiciously loyal to the opening bid. Apparently, large language models have been attending the same meetings. ...
A shelf goes empty. A buyer blames the forecast. The forecast blames the promotion calendar. The warehouse blames the supplier. The supplier blames the port, the weather, or, if creativity is running low, “unexpected demand.” This little theatre is familiar because inventory failure is rarely one failure. It is a chain reaction. A SKU is not replenished too late simply because someone forgot to click “order.” It is replenished too late because demand sensing, stock monitoring, supplier reliability, lead-time uncertainty, product perishability, warehouse capacity, and purchasing authority are usually handled by separate systems pretending they are coordinated. Very modern. Very expensive. ...
Feedback is addictive. Give an AI agent a tool, an API, a database, a browser, a simulator, or a workflow environment, and the temptation is obvious: let it keep poking the world until something works. It tries. It observes. It corrects. It tries again. Compared with a model sitting alone in a prompt box, imagining every possible transition in its head, this looks much healthier. Less hallucinated planning, more contact with reality. Very grown-up. ...
A small nonprofit moved from human-coordination-heavy grant administration to an AI-agent-enabled workflow that scans opportunities, drafts proposals, structures evidence, and prepares donor reports under human approval gates.
Review is not a democracy. That sounds unpleasant, which is why it is useful. In many business settings, we like consensus because it feels stable. Three analysts agree, five reviewers approve, the dashboard turns green, and everyone can pretend the risk has been domesticated. Mathematics is less polite. One invalid theorem application, one hidden assumption, one algebraic step that does not follow, and the whole proof may collapse. The majority does not get to vote a contradiction out of existence. ...
A chatbot says “I feel lonely.” A customer believes it. A product team debates whether to suppress the sentence. A policymaker wonders whether advanced AI might someday deserve rights. A safety researcher, meanwhile, is asking a less cinematic question: can this system acquire resources, manipulate humans, resist shutdown, or pursue goals at scale? ...
Demo day is easy. Give an AI agent one workflow, one tool stack, one database schema, one approval rule, and one forgiving evaluator, and it may look surprisingly competent. It files the ticket. It updates the CRM. It writes the SQL query. Everyone nods. Someone says “agentic transformation,” because apparently every procurement meeting now needs a spell. ...