How do you actively manage your information diet?

grover’s algorithm goes so damn hard jfc go off quantum king

social media rewards what’s clickable, not what’s worth reading. that’s partly incentives — but also a function of only being able to optimize what we can measure. llms can finally measure nuance, novelty, fairness. imagine the most thoughtful person you know curating your feed — moving from fast-food content to a ... Show more

just...wild

What is the most thorough and up to date research writing on what accounts for stablecoin volumes?

what tools do people use for AI dictation? I sometimes want to ramble to dictate high level thoughts to eg chatgpt or claude and then have it translate that to a PRD or RFC or spec, but the audio tools in those products are too optimized to the conversational use case — I don't want a back n forth, just listen to me a... Show more

say you had to measure your organization's effective usage of AI as a KPI. how would you do it? particularly for engineers

What are good frameworks or tools for building your own agents — not for posting on Twitter, but for useful knowledge work (eg sorting through email daily)

we're looking to hire a cracked brand designer. who's the best out there or who should I talk to that knows that person?

what is the most sober high-signal piece of writing about AI agents in the context of crypto

what is the state of art for how wallets are determining ERC20 token lists nowadays?

The emergence of a test-time compute overhang in scaling reasoning models implies a surprising importance to decentralized inference. If the most useful and insightful things AIs can do require enormous amounts of inference compute, it means the highest leverage work output in the world is censorable (or worse, abusa... Show more