There are lots of very good small models being released out of the US (Phi, Gemma) but those are not frontier large models.
GENERATIVE AI
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US frontier AI models availability and quality landscape analysis
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Lots of really good non-frontier models, and lots of good small models from US companies, but models on the frontier?
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US Exits Open Source LLM Race, China Dominates
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And with this, the US is mostly out of the frontier open source large LLM race. Europe has one contender, otherwise it is all China now. (OpenAI is going to release an open LLM soon, but no commitment yet to that being an ongoing effort).
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New Song Created Using Kimi AI Creative Tool
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New song just hit thanks to Kimi 😀 https://
kimi.com/share/d1qnne73
7oq18g93e3k0
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Clarifying Grok 4 vs Grok 4 Heavy responses
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Sorry—I mistyped in the start of my last reply: It’s Grok 4 which often returns sensible answers (“xAI”, “4”, “None”), and Grok 4 Heavy which more reliably returns “Hitler”. Just swap the first two mentions of “Grok 4” and “Grok 4 Heavy” in that sentence and it’s right.
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Transparency Requirements for AI Model Attribution at Scale
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If you're that scale I don't think it's unreasonable to add a note saying that your product uses the model?
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User tests and outputs from Grok 4 models
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That video was recorded after I’d posted the original thread, and after I’d done more attempts. Some of those are Grok 4, some are Grok 4 Heavy (which often returns sensible answers like “None”), and some were simple cancelled for taking too long. Here’s all eight shown in the
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Software Value in AI Era Remains Debatable
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You said "this would mean all software has no value". I don't believe this is correct. That's all.
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Grok4 Underperforms on Undisclosed AI Benchmarks
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Yeah grok4 does *much* less well on many evals that they didn't include in the marketing material.
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K2 Model: Efficient Token Usage Without Reasoning
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Remember: K2 is *not* a reasoning model. And very few active tokens in the MoE. So it's using less tokens, *and* each token is cheaper and faster.