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6 articles
SOOHAK does not only test whether AI models can solve harder math problems; it asks whether they can notice when the problem itself is invalid.
DeepMindās AlphaCode rival just got a math lesson: log-linear accuracy gains in competitive programming come with a price tagāsplitting reasoning across threads to avoid the full-attention tax.
Researchers just proved GPT-5 canāt reliably forecast supply chain disruptionsāunless you force it to abandon its āgeneral intelligenceā and specialize.
Greg Brockmanās latest AGI proclamation arrives with zero new data, zero timelines, and zero mention of GPT-5.
OpenAI launched GPT-5.4 mini and nano, two models that push image processing pricing into territory cheaper than the electricity powering the server.
A METR study reveals that nearly half of AI-generated code passing the SWE-bench benchmark would be rejected by actual developers in production environments.
