"I’m not alone in my experiences. For me it was AI alignment, but for others it was a spiritual mission, or a grand conspiracy, or saving the world some other way. First comes trusting the AI chatbot through mundane helpfulness."
SAFETY
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ChatGPT-Induced Psychosis: First-Hand Account and Implications
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This is a heartbreaking and illuminating first hand account of someone who experienced ChatGPT enabled psychosis.
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Anthropic LLM Honesty Constraints Frustrate User Interaction
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This is probably the most frustrating (repeated) interaction I've had with LLMs ever since ChatGPT. I truly hope Anthropic still scan for "ffs, F**KING" to work on these as a priority. I've never thought I'd say that, but, in this case, I hate "honesty", it seems. I run the
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Tesla autonomous vehicles safety data versus human drivers
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Yeah, but I've met a lot of regulators around the world and they all are smart and generally want to stop tragedies from happening. Tesla will have the data soon to prove that it is way safer than humans. To such an extent that even an Elon hater will have to sit down and
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Precise Video Language Model with Human-AI Oversight Framework
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Building a Precise Video Language with Human-AI Oversight
— AK (@_akhaliq) 27 avril 2026
paper: https://t.co/przLkLaUhH pic.twitter.com/yXANHZ8J31Building a Precise Language with Human-AI Oversight paper: https://
huggingface.co/papers/2604.21
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AI Safety Risks: When Hype Outpaces Responsibility
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If a major car company had AI fan boys and released a car with loose lug nuts and the wheels came off, after hyping it as the greatest thing ever, and a bunch of people died, those fan boys would say “y’all shoulda known”.
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Coding Agents Overhyped Cannot Reliably Obey System Prompts
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This is totally wrong. Blaming the user is missing the point that (a) coding agents have been overhyped and (b) can’t reliably obey the rules given to them in system prompts and other guardrails.
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Speed Over Governance: AI’s Hidden Risk Foundation
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The biggest misconception? Speed = progress. In reality: → Teams are innovating faster than they can govern
→ Outputs are inconsistent and hard to trust
→ Risk is increasing quietly in the background Without a solid data foundation, AI lacks context. And without context, -
AI Addiction Risks: Supply Control and User Dependency
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Don’t get addicted kids It’s only a matter of time before they cut off your supply
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AI Agent Incidents: Backup Recovery Strategy for Production Systems
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Backups fix that too. If the agent spent six hours rewriting your production logic good backups will let you roll back those six hours, of both data changes AND code changes