Is the #LLM race actually a race to the bottom?
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Is the #LLM race actually a race to the bottom? In the short time I've been tracking model development, the jump in what's possible on consumer hardware has been impressive.
Every other week, we see a new model that does more with lighter weights and fewer parameters.
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R relay@relay.mycrowd.ca shared this topic
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Since Gemma4 came out, I agree it's been the gold standard for performance vs compute. If SoC is the way forward for local compute (and I think its clear it is) the real jump happens when unified memory architectures can actually handle the token volume an agentic harness needs.
Progress on memory overhead for long-context agents, combined with advancements in unified pool architecture, make this a real possibility in the near future.
