Major ChatGPT upgrade rolling out now, in the form of GPT-5.5 Instant: https://t.co/QG7pQHwFja
— Greg Brockman (@gdb) 5 mai 2026
Major ChatGPT upgrade rolling out now, in the form of GPT-5.5 Instant:
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Major ChatGPT upgrade rolling out now, in the form of GPT-5.5 Instant: https://t.co/QG7pQHwFja
— Greg Brockman (@gdb) 5 mai 2026
Major ChatGPT upgrade rolling out now, in the form of GPT-5.5 Instant:
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Read more about Model Spec Midtraining: https://
alignment.anthropic.com/2026/msm Or read the full study: https://
arxiv.org/abs/2605.02087

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Using MSM, we can also empirically study which model specs or constitutions yield the best generalization from alignment training. Specifying rules works to some extent, but explaining the values underlying those rules (or adding more detailed subrules) is even better.

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A more realistic example: AIs trained to be harmless chatbots can take unsafe actions in agentic settings. Preceding this training with MSM on a realistic spec drastically improves generalization, reducing unsafe agentic actions.

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A toy example: Train an AI only to say it likes certain cheeses. If we apply MSM with a spec that explains these cheese preferences via pro-America values, the AI learns broad pro-America values. Swap to a pro-affordability spec? The AI learns to value affordability instead.
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Developers try to align AIs to a constitution, or spec, describing intended AI behavior. But AIs don’t normally know what’s in it. MSM adds a training phase for teaching an AI about its spec. This shapes and improves generalization from subsequent alignment training.
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New Anthropic Fellows research: Model Spec Midtraining (MSM). Standard alignment methods train AIs on examples of desired behavior. But this can fail to generalize to new situations. MSM addresses this by first teaching AIs how we would like them to generalize and why.
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in particular, the combination of improvements to speed, intelligence, personality, and great memory/personalization feels like a more-than-sum-of-the-parts thing when it all hits together
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the new instant model in chatgpt is so good damn if you have been thinking-model-only for awhile, give it a try!

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Cerebras inference ecosystem, updated: open-weight model families, cloud providers, integrations. https://
cerebras.ai/blog/ecosystem