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THE LIBRARY

Sarah Guo

927 items collected

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taking a research intern for the summer! 1) work at @conviction portfolio companies 2) work on AI tools for investing 3) propose research projects useful to the AI startup community - compute available send papers to: sarah at conviction subject: cracked research intern or projects! see portfolio at https://t.co/SNGwN9n9O8 Oh sorry to clarify— this isn’t “research” like deep research, this is AI research

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apologies -- we have closed registration for Monday's event, have application rate >5x our capacity. please apply at https://t.co/MxEcca8Wh2 for our next Mixture-of-Experts talent event (August)

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New @NoPriorsPod with @pushmeet @matejbalog from DeepMind AlphaEvolve on: *ai co-scientists *improving matrix multiplication *reclaiming ~1% of google compute *can AI discover new knowledge? *evolutionary algorithms https://t.co/3ujG1JAdL2 full interview (or Spotify) https://t.co/BD2mRgSgvR

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hi, it’s me, social choice nerd calling in!!! For anyone following the NYC dem primary: ranked-choice voting (RCV) lets voters rank candidates in order of preference, redistributing votes until one candidate achieves a majority. It’s used statewide in Maine and Alaska, and in over 50 U.S. cities (including SF!) NYC adopted it for the dem primary to reflect broader support, reduce negative campaigning, and reflect diverse voter preferences. There are some criticisms! Mainly, complexity. There are also some failure modes. For example the “center squeeze” is when a moderate candidate who could beat either extreme candidate individually is eli…

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Congrats Tarek and team! A triumph of execution and long-term commitment to a vision (and some super smart folks).

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@jasonth0 no, these are companies with tens of millions of ARR and real users and lots of product investment

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actually you can get funded with no TikTok following, but instead, happy and committed customers (Though public proof of user love aka “customer marketing” is one of the most powerful distribution weapons.)

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Running an AI startup today using a SaaS-era playbook or even previously “best-in-class” speed is like gaming on dial-up. By the time your GTM feels comfortably dialed-in or your strategic bets seem sure, the match is over. Markets are moving (and being won) at meme speed. hesitation equals irrelevance. Seeing strong traditional execs caught off guard, challenged to adapt.

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@dchaplot @miramurati @sritreee @BrendanFoody @deviparikh @DhruvBatraDB

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a good way to judge investors: 1. do they actually have relationships worth something to you? earned trust with customers, hires, partners, investors? 2. how will they treat you, vs those relationships with people more “important” today? will they make a call that costs them something for you? It could be just an uncomfortable one, one where they go out on a limb, where they put their credibility on the line to help you hire, or something that costs them social capital I’m grateful every day @mvernal is this type of (secure) person. most people aren’t

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We should celebrate hacking, not cheating. Cheating quietly pockets extra Monopoly money (insider trading, plagiarism, inflated metrics). Hacking openly flips the game board, exposing rigged rules and inventing a better game for everyone: Wikipedia replaced Britannica, Airbnb monetized spare rooms, Linux openly challenged Windows. Both break the rules, but hacking doesn’t compromise integrity. it reveals the old game wasn’t worth playing.

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The “AI leapfrog effect” is quietly transforming sectors historically slow to adopt technology—legal, healthcare, logistics. They’re not merely catching up. they’re vaulting ahead. Traditionally, automation in these industries was blocked by high barriers: expensive software, difficult integrations, ambiguous ROI. The business math rarely worked. Large language models, code generation, MCP and computer-use agents have fundamentally shifted the economics. Suddenly automation is affordable, fast, and obviously valuable. Examples are emerging everywhere: @harvey__ai in legal, @latent_health and @openevidence in healthcare, @SolaAI_ in logisti…

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the power/battery of today’s smartphones is just not gonna work if we really begin to use local models all the time (or even just constant input, eg voice processing)

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.@AnthropicAI founder @8enmann on whether Claude Code competes with Anthropic’s own codegen model API customers: https://t.co/IZ7lvrKBu6 full @NoPriorsPod interview https://t.co/mZXsWc9HP8

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Anthropic, of the all the top labs, spends the least on and believes the least in human data collection (“it’s not scalable path”). Interesting research result if you push on without it: (another interesting research direction is how we learn more from the pretraining data we already have)

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VC firms are nothing without their people and the GOATs who worked there a decade+ ago or lost touch with the market moving into management, do not count. you’re only as good as your last investment

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Apple transcription is still so, so bad compared to what’s available on market, they should be embarrassed the use case for transcription: https://t.co/hx3cCU0cqS

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is it weird that I think of nature as pre-training and nurture as post-training? (we have 3 kids)

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@gradypb too bad I can also agonize about a piece of writing for three weeks because I’m not clear on what I think (yet)

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guys if you missed @aiDotEngineer yesterday and want to see my accidentally no-speaker notes keynote on the AI application opportunity, complete with: - a full five minutes of stalling through AV struggle - several Steve Ballmer impressions - a recipe for building “cursor for X” https://t.co/9x0bGV21lq https://t.co/8LXW23Rrru timestamp 59:08 thanks to @swyx for the invite and the amazing community he’s built

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new @NoPriorsPod with the legendary @drfeifei! topics: why she’s building world labs missing gaps in the AI future robotics and physical intelligence greatest challenges of 3D her PhD, ImageNet advising sensei Karpathy importance of human-centered AI https://t.co/z4Ok7t74Ly link to full interview: https://t.co/v5gh8O7V70

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I had ChatGPT do the comparison for you! I am trying different styles. I usually write now when I get the feels — like I have something to communicate to a specific founder(s), or when there’s something really interesting happening in the world. I think the ChatGPT critique is okay. This essay was too long. I told @GuptaRK22 whose writing I admire I thought it should have been half. Sermon-like? Youch. Taste in food is an obvious metaphor here. The idea that this is more “manifesto-like” is fair, but I have a stronger point of view on a lot of things than 5 years ago. There were a few anecdotes I forgot to put in — like Ivan being friends w…

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Edition 2026-10-10, preview.