We're designing our own chips — taking what we've learned from building frontier models and bringing it directly into the hardware. Building our own hardware, in addition to our other partnerships, will help all of us meet the world's growing demand for AI. In Episode 8 of the
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BlockchainArchaeologist:
Tsk, even big companies are starting to develop their own chips.
i've seen this argument a lot: > getting code production ready often takes longer and i think it highlights another way to split engineers into two camps: 1) those who know how to use these new tools for production 2) those who don't and i think the difference comes down to
Nothing's fully deployed yet Zcash and Monero communities are working on post quantum crypto primitives but it's early. Bitcoin and ETH will eventually fork to integrate whatever NIST standardizes The threat timeline is longer than most narrative cycles so projects aren't
Pretty bullish on LoRA fine tuning again. Idk if it's because the models are so much better today that they adapt much more easily, but the results are impressive.
shipping something similar with our next release, but not quite arbitrary components yet i think in practice you want some constraints 1) you want it to match brand 2) you probably want to curate reliable ui libraries for the agent to use
Proposers undoubtedly injected their own transactions into bundles at ~no/minimal cost so that they can be prioritized over everyday users, but agree that there is a market structure difference and those proposed blocks probably didn't make as much and thus weren't selected.