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)
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:
2
9
442
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).
624
536
472
5,155
647,478
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.
2
5
1
17
1,888
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.
20
47
8
264
15,700
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.
12
19
9
142
243,350
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.
376
280
287
3,093
708,350
There’s a misconception that a successful launch video needs to cost tens of thousands of dollars and feel like a high production commercial. But @FarzaTV has a different approach. Farza is the founder of @heyclicky and previously built Buildspace, one of the largest online schools for people working on their own ideas. He’s been making videos for over a decade, and today his posts regularly get millions of views. Rather than treating launches as rare, high-stakes moments, he’s made them part of the everyday process of building a company. Farza sat down with YC’s @aaron_epstein to share his playbook for turning demos into stories people actually want to watch. He breaks down how he scripts videos that still feel off the cuff, why founders should launch constantly, and and how to figure out which channels actually convert. 01:44 — Launch Constantly 03:38 — Start Shipping Demos 05:02 — Show the Process 06:07 — The Clicky Launch 07:43 — Write a Hook That Stops the Scroll 10:30 — Why Farza Scripts Every Video 12:04 — Designing the First 10 Seconds 15:15 — Demo-Driven Development 17:25 — You Have to Take a Thousand Shots 20:48 — Farza’s Formula for Videos That Convert 23:01 — Turning Demos Into Stories 24:53 — Show What You're Actually Building 29:11 — Finding Customers on Social Media 31:02 — Which Platforms Actually Convert? 39:01 — Why Farza’s First Hire Was a Filmmaker 40:49 — The Video Stack 45:41 — The 30-Day Launch Challenge
93
93
66
1,596
309,117
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.
6
3
55
2,211
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…
28
60
9
427
82,407
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…
1
2
23
1,080
its time to fall in love w tech again
4
4
46
1,306
Krinza retweeted
Success is not certain, but excitement is
1,181
1,618
219
21,081
1,017,444
Krinza retweeted
Replying to @hassanrahim
they're trying to cut open the bird to find the song
102
2,081
250
16,186
941,553
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
4
1
24
1,329
you met me in a very quantum resistant time of my life.
10
78
2,504
BREAKING: Tech has found out what content is
30
21
9
363
25,413
btw I've joined @starknet
89
8
3
396
21,324
the only moat left is the love of the game
75
1,547
129
9,374
269,091
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
1,148
2,084
905
25,747
3,333,154