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  "text": "1. This is why @thsottiaux and @OpenAI are feeling good about GPT-5.6 (screenshot is from @datacurve's latest DeepSWE from @theo's video) \n\n2. Most other SWE benchmarks are out the window. Anthropic admitted claude cheat(s) on swe-bench pro. I think DeepSWE might be one of the 5 most important AI benchmarks out right now. \n\n3. GPT-5.5 was released a month before Opus 4.8, and it is still outpunching Anthropic's newest Fable 5. \n\n4. In other words, Anthropic, the company known for their coding models, have had TWO additional shots at creating a coding model that competes with GPT-5.5 on a cost-per-intelligence basis and have failed. \n\n5. A little secret most benchmark watchers overlook? GPT-5.5 xhigh is not even close to being OpenAI's best model. That belongs to GPT-5.5 Pro, which rarely gets benchmarked. \n\n6. This will be very bad for Anthropic when/if Tech Twitter, the mainstream media and Wall Street start connecting the dots. \n\n7. Seems like all the IPO doomsday marketing hype from Anthropic couldn't actually make their models better or more efficient. \n\n8. The above is why Anthropic is now going on a PR tour with national news companies, as they see the writing on the wall: OpenAI's models are better at what matters and its Codex harness is better. \n\n9. Anthropic's best shot at out IPO-ing OpenAI is only:\n\nA) controlling the public narrative via press tours\nB) confusing enterprise customers (agentic models running broken loops, tokenmaxxing and companies are none the wiser) \nC) Copying Codex verbatim like Google tried to with Antigravity, b/c Anthropic's Caude desktop offering is a disjointed, siloed mess without unified memory.",
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