Really good model. Fast and efficient
LLMS
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ChatLLM Efficiently Handles Multiple Document Tasks Simultaneously
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Asked ChatLLM to summarize a 40-page doc, build a TODO list, and draft an email – all in one go. ChatGPT-5 + Opus 4.5 = suspiciously efficient.
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Self-Critique in Agentic AI: Benefits and Risks Explained
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Self-critique is a core pattern in agentic AI — but it turns out to be dangerous in the wrong place.
New blog from @ArminPCM show: Self-critique helps when models are failing It destroys accuracy when models are already right
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Self-Verification as Adversarial Training Signal for AI Models
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The key takeaway:
Critique is for debugging — not polishing.
When the same model plays both “actor” and “judge,” self-verification can become an adversarial training signal.
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Gemini 3 Pro Tops Poe LLM Rankings in First Week
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Gemini 3 Pro saw instant adoption on Poe at launch, taking the top spot in subscriber usage among popular LLMs in its first week. Check out our leaderboard for a real-time view of rankings on Poe at https://
poe.com/leaderboard. -
GPT-5.1-Pro vs Opus 4.5: LMArena Rankings and Model Comparison
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If we look at LMArena for example, GPT-5-Chat is ranked 20th, GPT-5.1 is 15th vs Opus 4.5 (non-thinking) is 3rd or Sonnet 10th. And just personally, I am very happy with GPT-5.1-Pro and Thinking, but I never use the instant version, to me it is quite sloppy and unreliable – not
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Claude 4.5 leads web dev, Grok fights for top 2
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Claude Opus 4.5 claims top 2 spots on web dev arena and top 3 on text arena after Gemini 3 Pro and Grok 4.1 models. Will Grok secure top 2 until the end of the year on text?
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7 tips everyone ignores about ChatGPT
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You think you know everything about #ChatGPT? Well no, here are 7 tips that everyone ignores → https://youtu.be/SJTQufPavHY #ChatGPT5 #GPT5 #GPT51
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LLMs Cannot Lead to AGI: Seven Years of Warnings
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This place is toxic. For the last seven years I warned you that LLMs and similar approaches would not lead us to AGI. Almost nobody is willing to acknowledge that, even though so many of you gave me endless grief about it at the time. I also warned you -– first –- that Sam
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LLMs World Models Gap: Ongoing Critique and Arguments
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among other places on facebook immediately after my deep learning is hitting a wall paper where i laid out the arguments in question, and also for years here on twitter, eg in 2019 on X calling my critique that LLMs lacked world models a “rear-guard action” see my recent