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@0x_emperorwriting about crypto research/protocols crypto x ai - research @ritualnet || まだまだだね ||
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We need to re-learn the idea of doing important collective projects without immediately defaulting to "startup" as the form factor. A startup is not the right form factor for every problem.
Given all the conversation surrounding @drakefjustin's proposal for the ZK era of Ethereum last week and @0xdoug's tweets about a zkevm-ified ETH 3.0, we thought we'd post a sketch of what a "purpose-built" base layer for a rollup-centric ecosystem might look like:
Beyond Inference: vTune vTune scales our verifiability and provenance schemes to support fine-tuning, not just inference, via watermarking & ZK. Our focus has always been on augmenting user choices across security, cost, and efficiency.
Today, the future of AI is threatened by the dominance of centralized, closed source models. To combat this, open source creators need to have proper incentives to make and share great models. One idea we think is important for this is watermarking: ritual.net/blog/watermark…
There’s a lot of interesting work happening at the intersection of cryptography, AI and distributed systems. But there’s so many papers to read, so many. Combing through 1000s of papers every few weeks to bring you a few worth your time and help you keep up.
Introducing Ritual Research Digest—a biweekly newsletter centered around surfacing research relevant to Crypto x AI. With hundreds of papers published weekly, staying current with the latest is impossible. We’ll do the reading, so you don’t have to.
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