GPT‑5.6 Sol sets a new state of the art on Terminal‑Bench 2.1, which tests complex command-line workflows requiring planning, iteration, and tool coordination.
GENERATIVE AI
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OpenAI announces GPT-5.6 Sol with restricted US access
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BREAKING: OpenAI announced GPT-5.6 Sol! As of today, by U.S. government directive, access is limited to only ~20 pre-approved companies and @every is not on the list. This appears to be a temporary situation while the government races to figure out a long-term policy for
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Request for Codex session IDs with poor performance
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hey hey morgan – can you send me one of your session IDs from your past codex sessions from today/ yesterday where you felt codex was off?
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Use Omni in Flow to get outputs without Gemini logo
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You can use Omni in Flow and get outputs without the Gemini logo.
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AI diffusion model discovers Big Mac and creates optimized burgers
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Finally, AI finds its ultimate uncontroversial use. A diffusion model trained on burger recipes "discovers the classic Big Mac without explicit supervision and generates novel burgers optimized for deliciousness, sustainability, or nutrition." ASI= automated slider intelligence
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Stanford AI adds realistic personalities to train crisis workers
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Stanford scholars developed a new way of adding human differences back into AI-generated text. With more realistic personalities, AI can simulate patients with specific symptom profiles for training crisis-line workers and clinicians. https://
hai.stanford.edu/news/todays-ai
-talks-like-nobody-new-research-gives-it-real-personality
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ViQ: Text-Aligned Visual Quantized Representations at Any Resolution
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ViQ Text-Aligned Visual Quantized Representations at Any Resolution
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DanceOPD: On-Policy Generative Field Distillation
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DanceOPD
— AK (@_akhaliq) 26 juin 2026
On-Policy Generative Field Distillation pic.twitter.com/8ZPiPVVgkEDanceOPD On-Policy Generative Field Distillation
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Autodata: An agentic data scientist to create high quality synthetic data
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"Autodata: An agentic data scientist to create high quality synthetic data" If there's auto-research, shouldn't there also be a auto-data generation? In this new Meta paper, they proposed Autodata, which makes synthetic data generation work more like a data scientist, with an
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Billions spent on AI, but memory was the real bottleneck
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Do you understand the irony of what just happened?
— Robert Scoble (@Scobleizer) 26 juin 2026
We spent two years and BILLIONS of dollars making AI models smarter. What was actually holding them back was that they forget everything after each session.
It was memory. https://t.co/0krKlMh469Do you understand the irony of what just happened? We spent two years and BILLIONS of dollars making AI models smarter. What was actually holding them back was that they forget everything after each session. It was memory.