ChatGPT can write you a thousand trading strategies from one sentence. 999 will quietly bleed your account dry. Every single one of them looks like a winner. One method pulls the real one out. Quant desks have run it for years. It's called loop engineering. It's not a smarter prompt. It's a loop: generate a strategy, test it, score why it failed, feed that b
Shared by @antpalkin ↗Note #59: Taking care of your mental health Make peace with the hard days. I see a lot of people stuck in a victim mentality. The truth is hard days are not the enemy. resistance to them is. the moment you stop fighting how you feel and start sitting with it, something shifts This is exactly the @timesoulcom is building for it is not just another wellness ap
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clcoding.com22h agoReally excited about this one: a new, free @convex course just went live on Database School 🎉 We build a full helpdesk app from scratch over 38 videos. It was a blast to make. Database, auth, realtime, optimistic UI, AI replies, Resend. All of it!
Shared by @aarondfrancis ↗New course: Add voice to your AI agents and applications, built with @VocalBridge (disclosure: an AI Fund portfolio company) and taught by its CEO @_ashwyn. Voice applications historically required making a hard tradeoff: using fast voice-to-voice models that sacrifice reliability, or accurate speech-to-text pipelines that add latency. This course teaches yo
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Breaking News: The Trump administration is backing off a plan to end an ocean monitoring system critical to understanding climate change.
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codewithdhanian.gumroad.com4d ago
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freecodecamp.org1d agoReact → Next.js → @aisdk is more relevant than ever, given the intense model competition landscape. Just today, GLM 5.2, an open model, surpassed Opus 4.8 in our Next.js Evals ( 🤯 But the world needs a practical solution for how to build and deploy agents. Just like React needed Next.js to solve the task of building an actual web application. And that's eve
Shared by @rauchg ↗We trained a ~frontier Deep Research Agent on academic budget > 32 H100s > 8K synthetic samples > fully open training infra + recipe (SFT, mid-training, RL) > models of diff sizes (2B -> 35B) ready to use out of the box This is yet another demonstration of how the frontier of AI is changing. We have reached a point where open models + a small capable team +
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