← Influencer libraryEdition 2026-10-10, preview.
THE LIBRARY

Sarah Guo

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Santa gifted our kids a high quality 3D printer and OMG this is so cool you can make anything

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for everyone worried about losing their engineering jobs, might as well make the most out of it while it lasts (and learn about AI!) @conviction portfolio co’s are hiring: sf, South Bay, LA, NYC, Canada — dm’s open

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2025 is clearly going to be unhinged. The technology world should take a few days to quietly reflect on what’s ahead. Also, stop with the Xmas sneak attacks, you sneaky venture investors, you

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One of my favorite interview questions hiring early stage startup people Ok, half the time (or budget), make as much progress as possible on the same problem. How?

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it’s pretty wild how different staffing is in startups. can have 2 companies in same space: one has 1/5 the headcount at the same ARR scale

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Congrats to teams @Coda/@Grammarly on their merger! It has been a privilege to work with the talented and visionary @shishirmehrotra @lshackleton, Alex DeNeui, Kenny Mendes, Oliver Heckmann, Brian Lederman, Matt Hudson, Evan Davies and many more coda friends over the years 🙏

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1/2 if you like capitalism, you can choose to do almost anything if you do not, you can essentially only work in academia or government, both of which are critically important, but thus naturally populated by anticapitalists at a rate unrepresentative of the public 2/2 it is encouraging that American government will be infused with some people who understand the rest of the world works. what about academia?

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an abundance of success and opportunity enables people to act generously more often work with the most talented people you can find — beyond their skills, they are more likely to have an attitude of abundance rather than scarcity

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@skippperD @annembrandes @conviction I’ve never seen The Social Network, but I work with an amazing founder with a fast growing business who was inspired by it. It changed his life. So I’m excited to watch, someday. @skippperD @annembrandes @conviction As for “VC wannabees” if they like only the status/trappings of the job, sure — that sucks. But if they love technology and zero-to-one, are cracked, competitive, have great instincts, and want to serve founders, my email is Sarah at firmname

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still thinking about the founder who pitched me “reading is dead” earlier this year I’m just not going to be a part of that It is like America’s much-anticipated decline Do not go gentle into that good night we can change the trajectory

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cooling GPU servers with lab-grown diamonds, and saving us from AI-driven heat death of the universe, with the @AkashSystems founders New @nopriorspod, full ep link👇 https://t.co/Ko4iLosfYS https://t.co/Tul17n9P4c

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outages and notices about rate limits at multiple model providers, if you needed more proof that inference at (growing) scale is hard

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someone at NeurIPS asked me if they’d “missed the moment on AI” obviously not, unless you believe that a single foundation model lab dominates the economy AND the race outcomes are already known the internet games took 3 decades to play out. 2024 = year two

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most founders are far too concerned about potential bad PR sad reality: no one cares about your company and someone will always be mad you cannot operate from a place of fear, better to tell your story, find your tribe of supporters and stop trying to make attackers happy

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how do the most entrepreneurially oriented Stanford builders gather? At Harvard it’s clearly prod (hat tip @annembrandes). But Stanford for all its talent, hackathons and sponsored clubs doesn’t seem to have obvious gathered, self-selected density of builders vs status-chasers maybe they’re too busy grinding away in the basement labs 👀 @tonyzzhao @chichengcc to gather anywhere

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fun to do a last minute “state of ai startups” talk (w/ @pranavreddy) this am at #neurips for old friend @swyx at his live paper-reading club couple quick takeaways below on what’s working, where we disagree with the dominant narratives, and some of our latent priors in investing👇 https://t.co/Fe8KbMBLgU AI years are like dog years: what’s changed https://t.co/vkDofoOJRZ Model market is increasingly competitive https://t.co/o47K4uAj9s Open source models are good, less than a year behind, here to stay https://t.co/gO3etcLr6p Intelligence is cheap, but not too cheap to meter https://t.co/CsPW5COKcg Test time is new dimension for scaling …

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there are diminishing returns to (compute) scale for pretraining in the current paradigm

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Great to participate in a @dealbook summit task force on AI: thanks to @kevinroose and @andrewrsorkin https://t.co/qqPbT1x3q6 how many of you expect "AGI" in 2 years? (5/10)

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Edition 2026-10-10, preview.