AI model
OpenAI's GPT-5.2, a large language model in the GPT-5 family, offered through ChatGPT and OpenAI's API and widely used as a benchmark comparator in AI research.
Five Eyes cyber agencies issued a call-to-action saying AI is accelerating the speed, scale and sophistication of cyber threats. Risky Business reads it as the agencies' view that limiting AI's offensive capabilities to benign actors is no longer possible.
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Researchers from ETH Zurich, MATS and Anthropic matched 226 of 338 pseudonymous Hacker News users to LinkedIn profiles at 90% precision for $1 to $4 each. The price holds up better than the hit rate, since every test subject had already linked a real profile.
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Snowflake's multi-year agreement with OpenAI, announced February 2, puts GPT-5.2 inside Cortex AI for 12,600 existing customers on all three major clouds. The companies did not say which side pays the $200 million.
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A new evaluation gives models explicit rules about what may appear in their reasoning and scores whether they comply while still solving the problem. Compliance rose with model size and fell with more RL training.
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Vendor safety pledges land on whoever has to answer for a model in a risk review. Microsoft's draft code hands that person a scope problem, because its commitments are written for Microsoft's own MAI models.
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The 270-company letter and Anthropic's warning are describing the same lever from opposite ends. Fine-tuning is what lifts a small open model past a frontier one, and it is also what can undo the safeguards shipped with it.
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Thinking Machines' own figures show that better prompts carried the models it tested from a coin flip to the mid-70s and then quit, leaving the last five points to an 80% trust bar to be bought with annotation time from the analysts being freed.
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Whisper into a blob container gives an agent quotable meetings with no speaker and no offset. Microsoft's answer arrives with two ingestion paths and one honest caveat about video.
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Microsoft Research says a 4-billion-parameter model trained with SocialRL out-scored GPT-4.1, GPT-5.1 and GPT-5.2 across six bargaining domains. The winning margin is thinner than the method's effect.
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