We don’t need better AI agents—we need better data

<!-- SC_OFF --><div class="md"><p>Hot take: a lot of “AI use cases” are just compensating for lack of structure.</p> <p>Before building agents, most people would get more value

<!-- SC_OFF --><div class="md"><p>Just went through a Stanford paper that tracked 51 actual AI deployments - not surveys or sentiment polls, real production systems across 41

<p><strong>271 zero-day vulnerabilities. One AI model. One Firefox release.</strong> And that's just one of four stories worth your attention this fortnight.</p> <p>If you run

<!-- SC_OFF --><div class="md"><p>Gemini 3.5 Flash launched Tuesday, and Google barely framed it as a conversational product. Instead, the company focused on coding pipelines,

<!-- SC_OFF --><div class="md"><p>I'll be upfront about my endgame: I work at a large tech company, I have a niche picked out, and I'm making the move to build and sell AI agents

<!-- SC_OFF --><div class="md"><p>Public datasets on HF or Kaggle can sometimes be too generic, wrong domain, wrong schema, outdated, or just not enough volume to generalize

<!-- SC_OFF --><div class="md"><p>Posting because this sub is where the policy conversation should be happening and it isn't. </p> <p>I'm the COO of a mid-Atlantic insurance

<!-- SC_OFF --><div class="md"><p>Just came back to Atlas Browser to see what’s changed since I last tried it a few months ago.</p> <p>The agent still seems to struggle with very