This is in testing – GPT 5.2 doesn't seem to be much beter than GPT 5.1 for the moment http://
livebench.ai
LLMS
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GPT 5.2 Testing Shows Minimal Improvement Over GPT 5.1
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OpenAI’s Post-Training vs Google Anthropic Pre-Training Capabilities
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Yep, I just mean that it *feels* (could be very, very wrong) like OAI has much better post-training, Google/Anthropic have much better pre-training
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My unfiltered opinion on ChatGPT 5.2
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My unfiltered opinion on #ChatGPT 5.2 → https://
youtu.be/ASSNlkIdbHs Clearly, I'm not going to make a ton of friends with this, but I had to say it. Can't wait to read you in the comments! -
Pre-training vs Post-training: Google Anthropic OpenAI Strategy Comparison
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It all makes sense. Google + Anthropic focused on pre-training, so you get to a great answer quicker, but the capability ceiling is lower. OpenAI focused on post-training, so great answers take longer, but you can push the models much further.
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Google improves Gemini 2.5 audio model
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Google updated Gemini 2.5 Flash Native Audio model with 21% improvement over previous version at overall conversational quality. Gemini Live everywhere soon?
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Cerebras Case Study: AI Hardware Innovation and Performance
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Case study https://
cerebras.ai/blog/case-stud
y-cognition-x-cerebras
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Cerebras Powers Fast AI Coding Agent from Cognition
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Tired of waiting for minutes for your AI coding assistant? @cognition built agents that search, reason & edit code in a few seconds. Powered by Cerebras—running at 1K tokens/sec with frontier-level accuracy.
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GPT-5.2 Available on ChatLLM with RouteLLM Model Selection
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GPT-5.2 is now available on ChatLLM by @abacusai If you’re unsure which model fits your prompt, RouteLLM will pick it for you.
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OpenAI Instant vs Claude Opus: Performance Comparison Analysis
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I personally don’t like Instant. If OpenAI was still the only game in town, it would have a place in my lineup, purely because the Thinking variant is so slow and sometimes I do need a quick answer. But Opus is just far better than Instant when I want something quick.