GraphicalSob
@graphicalsob
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Building @pyano_fun, I believe in Edge AI because 90% can't afford Cloud AI. Specialized in social graphs, probabilistic models, and NLP.
Joined February 2022
RT @pyano_fun: We spent the weekend hacking and built this! . . This is a demo of an AI agent that automatically fi….
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NFTs should act solely as token gating mechanisms—perhaps even serving as an identity for an AI agent. The whole NFT wave was more about how beautiful your pass looks rather than what it actually does.
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RT @AlejNavia: After 10 years of being in crypto and trading, I need to address what's currently happening in our space. This isn't just….
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RT @dberenzon: 1) Fun fact: there are ~280 payment companies today building on cryptorails (!). I've written a piece explaining the current….
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RT @bridge__harris: requiring customers to manually buy T-bills / money market funds to get yield is horrible UX and adds friction — people….
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RT @nikitabier: "Verticalized agents" is a bit of a meme among startups right now—but rightly so: Over the last year, we indexed too far in….
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RT @levie: The biggest opportunities for AI Agents will be in expanding the market for software by automating work that most companies don’….
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RT @IamProHuman: It’s not in your head—but it’s also not in your genes. After 40 years of research, Dr. Gabor Maté found that childhood tr….
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On one hand, we say that AI inference needs to be validated. On the other hand, we’re willing to hand over control of our computers to AI. Lol. On one hand, we argue for decentralized inference, even though it’s slow. On the other hand, we want to use the same system to control.
Voice + Computer-Use Agents. You’ve been warned.
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First of all, response time is directly proportional to user experience - the lesser the better. A swarm of agents doesn't make sense until LLMs' token generation speed exceeds 1000 tokens/second or more, and communication latencies are in milliseconds. LLM token generation.
Been chatting to a few folks about. Swarms vs. Single Agents. Specifically:. Is it better to use a swarm of agents to complete multiple tasks. OR . a single agent that you engineer to do it all the tasks itself?. Why?. Im trying to figure out if we need swarms or if we can just.
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Crypto needs AI applications solving real uses for people using decentralization or using crypto as a payment layer. Crypto doesn't need infrastructure to build AI apps. When you solve a real problem with a great number of users, then only you will identify what kind of.
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Add code, technical documentation, and you’ll have a fully functional AI tech team.
Any knowledge worker spends 50-80%+ of their time analyzing, synthesizing, and creating unstructured data - think about how much of your time is spent reading things like reports, documentation, PRDs, presentations and creating new variants of those things. I’m personally
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Focus on repetitive tasks. Allow developers to manage AI agents. Make sense of overwhelming data streams.
Y Combinator JUST announced what startups they want to fund next in 2025. And it's mostly AI that replaces $100k/year job functions. My notes below in case it's helpful to you:
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RT @gregisenberg: Y Combinator JUST announced what startups they want to fund next in 2025. And it's mostly AI that replaces $100k/year job….
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I recently learned in one of the Y Combinator podcasts:. 1. Find a field that you have knowledge about and may be passionate about. Passion trumps knowledge. 2. Find a job role that you would like to automate or maybe enhance with AI. 3. Sit with that person for a day or two.
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RT @Dan_Jeffries1: As we are learning DeepSeek is one of the most sophisticated psyops of all time. Here's how it went down:. 1) Release….
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RT @pyano_fun: 🚨Live Demo Alert: Pyano + DeepSeek-R1🤖. In this demo, we’re showcasing two AI agents in action, powered by the Pyano framewo….
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RT @pyano_fun: Your AI agent workforce is waiting for you on the cloud!👀🛠️. With Pyano, creating AI agents has never been this powerful or….
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RT @Alibaba_Qwen: The burst of DeepSeek V3 has attracted attention from the whole AI community to large-scale MoE models. Concurrently, we….
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