Meta just dropped Muse Ember, a lightweight agent LLM that can parse docs, run tool calls, and stay multimodal—all for just $0.000001 per token. Curious how cheap AI can get? Dive into the details. #MuseEmber #MetaLLM #TokenPricing

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ok inte exakt samma men

Meta’s new structured prompting boosts LLM code review accuracy to 93%—think semantic analysis meets AI agents for tighter software verification. Curious how machine learning is changing the dev workflow? Dive in! #MetaLLM #StructuredPrompting #CodeReview

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From my naive mathematical perspective I doubt that. A metaLLM can & will discern underlying patterns that are still operable, even (or even especially!) across more subgroups. I understand the argument. More math is good, often true perhaps. Admit I'm merely a reader in the area not a practitioner.

100 labs US, China, Poland, Sweden, Germany, Australia, South Korea, South Africa, Morocco, Spain. The 10 LLMs that analyze those corpora will have bias. We agree. You think the metaLLM that analyzes those will be automatically free of bias as if they will zero sum. But would they? The metaLLM may