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Applied AI·September 10, 2026·1 min read

‘The noise patterns are awful’ — some Reddit users aren’t happy with the new ChatGPT Images 2.5, so I did my own tests and have to agree

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Images 2.5 trading speed and composition for noisy artifacts shows the quality frontier is now about subtle defects, not basic coherence. If you’re using image models in production, you need explicit evals for noise and texture, not just 'looks fine' human spot checks.

Applied AI

Researchers fear there's a chance AI could kill us all. Here's how experts say that might play out.

An Anthropic researcher’s resignation and expert scenarios for AI-driven catastrophe move existential risk from fringe debate into mainstream governance pressure. For operators, the near-term impact is more scrutiny on deployment, evals, and kill-switches—assume regulators and large customers will start asking how you’d prevent loss-of-control failure modes, not just prompt leaks.

Applied AI

OpenAI not on track to reduce risk of ‘catastrophic’ loss of control, says board member

A non-profit board member publicly stating OpenAI is “not on track” to reduce catastrophic loss-of-control risk puts formal governance concerns on record at the center of the ecosystem. Expect this to accelerate calls for external audits, eval standards, and possibly licensing—if you’re deploying frontier models, be ready to show your own control and rollback mechanisms, not just rely on vendor assurances.