🆕 What Teams Building AI Agents Keep Learning the Hard Way 🎯 the emerging playbook for production AI Agents gradientflow.com/i-keep-hear…

🎗️Six Reasons I Think Open AI Models Will Win 🏆 gradientflow.com/six-reasons…

The story behind Lectric e-bikes 🚲🚲🚲🔋 “We see Lectric as a mobility platform” youtu.be/coyHcx1An_s?is=-r1-…

Super impressed with @Tesla phone support for our residential powerwall battery for our solar system. They take time to diagnose the problem remotely, and patiently walk you through the steps to fix your system. cc @elonmusk

🆕 Post-Transformer AI: Reasoning Without Language Pathway's CEO Zuzanna Stamirowska on why transformers aren't enough for true reasoning. Their BDH model reasons in latent space, learns from experience, and maintains state over long horizons - all at 150M parameters thedataexchange.media/zuzann…

Stale Data Was an Analytics Problem. Agents Make It an Operations Problem Agents don't just need relevant information. They need information that is true right now. Did the payment clear? Is that inventory still available? Was the account suspended an hour ago? Five-minute-old data might be fine for a research question and dangerously wrong for an action. gradientflow.substack.com/p/…

Master rhyme master 🔥Rick Glassman prompts Harry Mack #hiphopninja youtu.be/DJWmotvuXBA?is=mZRi…

Your AI might be fine but your data is lying to it 🔎 Some AI failures are really old data failures. The AI didn't create the duplicate record or the inconsistent definition. It just acted on them. gradientflow.substack.com/p/…

What Critics Get Wrong About Data Centers 🔎 gradientflow.com/ai-data-cen…

THE GOSPEL OF HIGH YIELDS? 🏈 Tim Tebow making up to $100K PER TALK pushing high-pressure investment courses youtube.com/watch?v=uh7s2jr0…

🆕 Post-Transformer AI: Reasoning Without Language Pathway's CEO @zuzanna_pathway on why transformers aren't enough for true reasoning. Their BDH model reasons in latent space, learns from experience, and maintains state over long horizons - all at 150M parameters thedataexchange.media/zuzann…

🚨 agents broke a few assumptions about your data stack 🎯 gradientflow.substack.com/p/…

You're using LLMs for the wrong job Learn more 🎯 gradientflow.com/jev-unpacke…

AI Agents Raise the Stakes for Data Infrastructure 🎯 A working agent demo can hide how much infrastructure still needs to be built. Production asks harder questions: Is the state authoritative? Do permissions survive when data is copied or indexed? Can a retry repeat an action? What happens after a partial failure? 👉 gradientflow.substack.com/p/…

Enterprise AI has focused heavily on finding relevant information. Agents create an additional requirement: they need information that reflects what is true now. Payment status, inventory, account state, and recent changes can all affect the next action. gradientflow.substack.com/p/…

🆕 Stale Data Was an Analytics Problem. Agents Make It an Operations Problem Agents don't just need relevant information. They need information that is true right now. Did the payment clear? Is that inventory still available? Was the account suspended an hour ago? Five-minute-old data might be fine for a research question and dangerously wrong for an action. gradientflow.substack.com/p/…

In SF's terrain, the crane's campaign: stay level, stay sane

Inside OpenAI’s Nine-Month Chip Sprint 🖥️ Richard Ho on designing custom AI hardware for high throughput and low latency thedataexchange.media/richar…

What Operating Experience Can Teach AI 🔎 There's a hierarchy worth thinking about when it comes to operational data. Raw logs and messages sit at the bottom. Above that are sequences connecting goals to decisions to outcomes. At the top are curated examples, failure cases, and reusable workflows gradientflow.substack.com/p/…

Mountain Lion captured 🪤 #SanFrancisco youtube.com/watch?v=YdpB6K8a…

An Impressive Engineering Feat: Richard Ho, @OpenAI’s VP of Hardware, on building the company’s first custom AI chip in just nine months @OpenAIDevs @OpenAINewsroom 🎧🎙️ thedataexchange.media/richar…