Krinza (@krinza) header
Krinza (@krinza) profile picture

ai + bio + modern finance / @starknet fndn

dxb
Joined June 2017
Photo by Krinza (@krinza)Photo by Krinza (@krinza)Photo by Krinza (@krinza)Photo by Krinza (@krinza)Photo by Krinza (@krinza)Photo by Krinza (@krinza)Photo by Krinza (@krinza)Photo by Krinza (@krinza)
ngmi if you're - still optimizing only for humans browsing - no idea what agents say about your brand - checkout that breaks the second an agent tries it this is a good wake up call
Today, we're introducing Agent Conversion Optimization → agentconversion.ai Muse, Instinct, Grok Bot already process $10B+ a year in GMV via agentic commerce. No GEO tool today tracks who they recommend. So we built it. Each agent behaves very differently from typical LLMs, so we track them separately, then Helena deploys the fixes. 1/ Daily tracking of who Muse, Instinct, Dots recommend, and why 2/ Share of recommendations vs your competitors 3/ Agent path to check out audit 4/ Fixes deployed by Helena to improve your discoverability This is hard to do reliably with little bias given how these agents behave, so we're starting with only 100 initial customers. Demo:
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New Anthropic research: progress on provable inference for large language models. Here, we introduce FlashProve. Building on established cryptographic techniques, FlashProve allows developers to verify whether a given response came from a given AI model. It’s substantially more efficient than prior open-source methods for doing so. These proofs have a range of applications. They can, for instance, make it harder for attackers to hijack a chat, or enable safety evaluators to verify that the model they’re testing is the same one being served to customers. For our full write-up, see here: anthropic.com/research/prova… Further progress in provable inference will likely be an important part of improving trust in AI deployment. To that end, we're open-sourcing FlashProve’s code, here: github.com/anthropics/FlashP… We’re grateful to our collaborators: Alessandro Chiesa, @GiacomoFenzi, @gwberg95, @miranda__christ, Rahul Dalal (rdalal.github.io) and Ben Mayer (@transmissions11).
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Krinza retweeted
Replying to @zkpfuture @mert
Anthropic used STARKs, specifically. zCASH deployed SNARKs, elliptic-curve based The confidence is impressive, because Anthropic used the proving system StarkWare has been pioneering since 2020. not just any SNARKs, STARKs.
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Krinza retweeted
starknet mentioned ↓ anthropic.com/research/prova…
anthropic’s flashprove uses zkSNARKs, the proofs that scale Starknet, to prove a 400B-parameter model wrote a response without revealing its weights ~110 tokens/sec on one H100, 19 MB proofs that check in seconds on a cpu verifiable AI is closer than we think.
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anthropic’s flashprove uses zkSNARKs, the proofs that scale Starknet, to prove a 400B-parameter model wrote a response without revealing its weights ~110 tokens/sec on one H100, 19 MB proofs that check in seconds on a cpu verifiable AI is closer than we think.
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Krinza retweeted
At @ycombinator, we're excited to fund more crypto startups solving financial needs including AI capital raising, stablecoins, trading, and agents. Here's our latest crypto request for startups. Our next application deadline is Monday.
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lost a childhood neighbor to cancer yest. we grew up on the same floor. she was only 26. we get so used to celebrating the headlines, the breakthrough tweets, the raises. then life hits and you see where things really are still believe in a world where i don’t have to lose ppl to cancer anymore. soon, please.
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Today, we’re announcing an open call for guest investigators in life sciences. Over 8–12 weeks, guest investigators will work directly with my team and other Anthropic researchers to produce analyses and tools for their work. We’ll run our models and harnesses, at no cost to them. We’ll work together to open-source the resulting data, artifacts, and code, and write preprints about what we find. We want humans to remain at the center of scientific discovery, deciding what questions to pursue, and how to pursue them. Those decisions are not ours to make alone. This open call is part of our ongoing efforts at Anthropic to support researchers and accelerate scientific discovery. I’m looking for principal investigators and their research groups at academic institutions, nonprofits, or government labs, working in causal human biology, structural and computational molecular biology, medicinal chemistry, drug discovery, and clinical science. Applications are open for about 14 days: anthropic.com/news/open-call…
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drug development is two problems stacked on top of each other 1. scientific 2. operational labs are now full stacking the operational layer which is where the next maturity curve is.
We’ve acquired Orchestra Bio, a platform that helps biopharma teams coordinate the complex process of drug development. Together, we’ll build on Rosalind, our AI models and tools for life sciences research, to streamline those operations and help new treatments reach patients sooner. Welcome @ashokaraj_ and team! openai.com/index/openai-to-a…
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its time to fall in love w tech again
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Krinza retweeted
Success is not certain, but excitement is
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Krinza retweeted
Replying to @hassanrahim
they're trying to cut open the bird to find the song
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inference is becoming a commodity / commodities need brokers.
Getting your inference right shouldn't be hard. @useRouterPlus (YC F26) is live: the right model and provider for your workload, at the best price. check out : routerplus.com/capacity
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you met me in a very quantum resistant time of my life.
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btw I've joined @starknet
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Technical moats are mostly over at this point. If you’re building something that is meant to be durable, the only moats now are: • Proprietary data • Network effects • A physical component
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Krinza retweeted
a truth hidden in plain sight: every big tech and frontier lab is going to become a bio company - google: demis' alphafold & isomorphic - meta & microsft: esm & bioemu protein models - nvidia: bionemo software stack for biochemical models, joint lab with eli lilly - openai & anthropic: both making the rounds about breaking into bio, strong bio reasoning models, wet lab - elon's empire: likely crossover between neuralink and xai (eg controlling ai with ur mind) - apple & amazon: not as frontier, but consumer health devices, onemedical acquisition, pharmacy mastering the most complex machine created by nature/god (the human body) is the ultimate test of superintelligence
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someone check on sheldon cooper
We’re releasing a broad range of new mathematical results produced by an internal frontier model. We’ve been consulting with the independent Advisory Group on Mathematics and Artificial Intelligence at the Institute for Advanced Study, and we have drawn on their advice and public recommendations to inform how we release these results. github.com/openai/math
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