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Mitchell Hashimoto
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vouch — A community trust management system based on explicit vouches to participate.
vouch participate explicit
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17 September
Co-founder of Superlogical, started in 2026 to build server-side terminal infrastructure; creator of Ghostty. Co-founded HashiCorp and created Vagrant and Terraform before that.
Their words
Terminal programs bias to dark modes and explicit colors are hostile to light modes and themes.
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@mitchellh on X x.com
15 September
CEO of Vercel; creator of Next.js and Socket.IO. Writes at rauchg.com.
Their words
The future is multi-model. Trying to hide the choice confuses and hurts customers, who can't participate in the upside of the most exciting market competition of our times, nor master the best tool for the job.
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@rauchg on X x.com
14 September
Mathematician at UCLA, working mainly in harmonic analysis and partial differential equations. Writes What's new, a long-running blog on their research, open problems and expository notes.
Serre's 100th birthday conference starts tomorrow: https://serre100.sciencesconf.org/?lang=fr . I was on the organizing committee, but unfortunately am not able to participate in the event. Related
13 September
Moroccan senior frontend developer writing at smakosh.com; builds side projects and client work under Smakosh LLC.
New on @llmgateway: Adaptive Cache-Aware Provider Selection Routing learns cache-hit rates and output-to-input proportions from recent project/model usage to compare providers for large prompts and sessions. Available automatically across plans, with workload defaults before enough history exists and explicit overrides on Enterprise. Learn more llmgateway.io
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10 September
Creator of the Keras deep-learning library and the ARC-AGI benchmark.
"Symbolic learning" is simply "machine learning" (automatically learn function x -> y given examples of (x, y) pairs), but where the substrate is symbolic, i.e. the functions you learn are code-like, not curve-like. The term is in opposition to "parametric learning" or "curve-fitting". Symbolic learning does not mean that the system avoids numbers or probabilities. It means its learned representation are discrete, explicit, parsimonious, code-like. Related
Investor and writer. Previously a partner at Andreessen Horowitz and a product leader at Twitter, Facebook, Snap and Microsoft. Writes essays and memos at sriramk.com.
More on @hilbertspaess - by all accounts he seems sincere since we have many here who vouch for him. I don’t agree however that him or just a subset of the people who work on the pipeline of tokens we use everyday speak for everyone else in the industry. Related
8 September
Swedish programmer with degrees in engineering and psychology, author of Your Code as a Crime Scene and founder of CodeScene.
Founder and chief executive of Replit. Previously an engineer at Facebook and Codecademy. Writes essays on programming, philosophy and entrepreneurship at amasad.me.
Honored to have the Mayor of London, Sadiq Khan, help us open Replit’s first international office in London! I’ve really appreciated the Mayor’s approach to AI, it feels very similar to ours. He calls himself an AI realist: clear-eyed about the disruption AI will create, but optimistic about the impact if we give people the tools and skills to participate in the coming revolution. That’s exactly how we think about it at Replit. AI is going to transform work, so we have to make sure far more people can use it to create, build businesses, and access new opportunities. It’s also why, as we estab… Quoting @MayorofLondon London shares Replit’s vision of a world where everyone can benefit from the opportunities of the AI age. I was delighted to open their first international office in King's Cross. It speaks to the extraordinary optimism coming from every corner of our capital’s booming tech sector. Related
28 August
Economics professor at George Mason University and author of The Myth of the Rational Voter, Selfish Reasons to Have More Kids, The Case Against Education and Open Borders. Writes Bet On It.
AMA Today at 5PM ET I’m doing an AMA on Substack Live today at 5 PM ET. If you’re a subscriber, expect an email a minute or so before. If you want to participate, subscribe. I’m happy to talk about the three books I have coming out over th…
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20 August
Co-founded Neuralink and founded Science Corp, which is building a retinal implant; writes about neural interfaces and biology.
Their words
It'd be pretty annoying if they just start like spontaneously getting notifications during meetings that like, "Oh, it thought that you were thinking about an Uber, therefore it decided to summon summon two for you." And so you'll probably want these to be pretty explicit.
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17 August
Mathematician at UCLA, working mainly in harmonic analysis and partial differential equations. Writes What's new, a long-running blog on their research, open problems and expository notes.
4 August
Swiss full-stack developer working mostly with Laravel and Vue; author of the widely used git-auto-commit-action GitHub Action.
The State Of Laravel 2026 survey has started! You can now participate to identify how the ecosystem changed over the past 12 months! https://stateoflaravel.com/?ref=2026 #Laravel Related
19 July
Chief Product and Technology Officer at Netflix, previously VP of Science at Lyft and an economist at Analysis Group.
Their words
It does feel like we have to be more more explicit about the types of people and talent that tend to thrive at Netflix versus other companies like some of the frontier labs.
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15 July
Writes Pedestrian Observations on public transit and why infrastructure costs what it does; a pure mathematician by training, comparing how different countries build.
15 June
Writes Strange Loop Canon, on the intersection of technology, economics and business — "building models of the world to understand these problem areas and to define them better".
2 June
Software developer and entrepreneur; co-founder of Heroku, author of The Twelve-Factor App, and a researcher at Ink & Switch.
4 April
Founding member of OpenAI and former director of AI at Tesla; creator of nanoGPT and the term "vibe coding".
Farzapedia, personal wikipedia of Farza, good example following my Wiki LLM tweet. I really like this approach to personalization in a number of ways, compared to "status quo" of an AI that allegedly gets better the more you use it or something: 1. Explicit. The memory artifact is explicit and navigable (the wiki), you can see exactly what the AI does and does not know and you can inspect and manage this artifact, even if you don't do the direct text writing (the LLM does). The knowledge of you is not implicit and unknown, it's explicit and viewable. 2. Yours. Your data is yours, on your loca… Quoting @FarzaTV This is Farzapedia. I had an LLM take 2,500 entries from my diary, Apple Notes, and some iMessage convos to create a personal Wikipedia for me. It made 400 detailed articles for my friends, my startups, research areas, and even my favorite animes and their impact on me complete with backlinks. But,… LLMs Related
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A korrent is a belief a person has stated in their own words: one
sentence stating the claim, backed by a quote and a source, kept at
korrents.com .
Under a name here, the quoted block is what they actually said.
The korrent beneath it is the claim those words support, in
korrents' wording — tap it to see the record, its source, and who
else holds it.
Nobody here wrote their own korrents. They are compiled from public
statements, and a person can change their mind, which is recorded too.
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About the English under a post
Some people here publish in a language other than English. Where they
do, this site shows a machine translation beneath the post, in
this typeface — the site's own, not theirs.
The post itself is never changed, moved or hidden: what is set in the
serif above is exactly what the person published, and it is what to
quote them on. A translation can be wrong in ways that matter,
especially about tone.
Only the post's own words are translated. A quoted post, a linked
article and a belief on korrents.com
are left in their original language.
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