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New quarter, new Lenny's List on @MavenHQ I'm seeing a shift from people wanting to learn how to use AI to write PRDs and brainstorm ideas, to answering questions like: How do I build reliable agentic systems? What do I need to know about evals? How do I use AI even more in my product and design workflows? So I updated Lenny's List to reflect this evolution by adding a few more technical courses: - "Prototype to Production: The AI PM Playbook" with Aman Khan (@_amankhan) - "Agentic AI System Design for PMs" with Gabriela de Queiroz (@gdequeiroz) and Hamza Farooq - "Systematically Improving RAG Applications" with Jason Liu (@jxnlco) - "Level Up with Figma" with Joey Banks A few reasons why I continue to recommend Maven for learning: 1. Real practitioners - Every instructor has shipped many real products at scale. 2. Project-based - Each course makes you ship something. 3. Fresh - With the pace of AI innovation, live courses are the most up-to-date way to learn. Check them out at https://t.co/RPaMHUcf6U and use code LENNYSLIST to get a whopping 15% off any of the courses.
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RT @judegomila: I'm looking for an EA. Fast learning speed, integrity, get things done, high variety of tasks types, relentless, stable, i…
Author. Coder. CTO. θηριομάχης. Building: https://t.co/otXT4Wy6WR. Writing: https://t.co/dBPBtyCIHw.
i'm also probably overestimating marginal launch cost — imagine reusability pushed it closer to $15m far sooner
investing @a16z // curating https://t.co/ssslqn6eo7
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iOS Developer @Match @MeeticGroup. AI & ML enthusiast. Building @LocallyAIApp for iPhone, a private and local AI chat.
Obviously China wants the fishing rod, not the fish, but ASML+ controls are non-negotiable at this point (at least the US thinks so). I believe that they're not close to domestic chip production *at the scale they need to compete*, so Nvidia is – for now – a meaningful card.
We're in a race. It's not USA vs China but humans and AGIs vs ape power centralization. @deepseek_ai stan #1, 2023–Deep Time «C’est la guerre.» ®1
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