GPT-5.6 Sol preview — it's a good model:
AI
-
GPT-5.6 Sol Launches with Robust Safety and Extensive Testing
By
–
GPT‑5.6 Sol launches with our most robust safety stack yet. We strengthened real-time protections against high-risk cyber activity and repeated misuse, then spent weeks hardening the system with human red teaming and over 700,000 A100-equivalent GPU hours of automated testing.
-
GPT-5.6 Sol sets new state-of-the-art on Terminal-Bench 2.1
By
–
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.
-
Static benchmarks measure memorization, not intelligence
By
–
If your benchmark relies on a static dataset or sampling from a static distribution densely known at training time, then it is fundamentally measuring memorization/retrieval. Which might be fine if you're looking for a retrieval benchmark! But don't confuse it with intelligence.
-
OpenAI announces GPT-5.6 Sol with restricted US access
By
–
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
-
Guide to production-ready financial agents with strong oversight
By
–
Read the guide on how financial services teams are building production-ready agents with stronger oversight. https://
info.langchain.com/guide/definiti
ve-guide-to-financial-services-agents-in-production
…? -
Request for Codex session IDs with poor performance
By
–
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?
-
Use Omni in Flow to get outputs without Gemini logo
By
–
You can use Omni in Flow and get outputs without the Gemini logo.
-
Human reaction to AI gains: muddling through instead of rational planning
By
–
It may be obvious, but a lot of the first reaction to the gains in AI capability is going to be "just muddling through" rather than executing on a rational plan. (this is what humans always do in rapidly changing & complex situations, and it certainly seems to be happening here)
-
AI diffusion model discovers Big Mac and creates optimized burgers
By
–
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