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Google Trends put CBRS stock on the board after Cerebras' first public-company earnings. The developer takeaway is not a trade. It is that AI inference demand is now being priced, questioned, and audited in public.
Google released DiffusionGemma today, a 26B MoE open model that generates entire 256-token blocks in parallel instead of one token at a time. Here is what that means for latency, local inference, and the post-autoregressive landscape.
How KV caching speeds up LLM inference - the math, the code, the memory tradeoffs, and when it stops helping. Every dev running local models hits this wall.
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