I made a list of great startups to join. It's called the Breakout List. The list has 92 companies. These are the 20 with 25 or fewer employees: - Hone (@moritz_stephan, @CarloWillem, @oqbrady) - Normal (@ansonyuu, @hudzah) - Standard Intelligence (@G413N, @devanshpandey) - Tacit Labs (@ninklefitz, @AmDroste) - American Terawatt (@atroyn, @rslparker, @aranibatta) - Conduit (@clemvonstengel, @riopopper) - Convergent (Omkar Savant, Vivek Katara, @debnilsur) - Core Automation (@MillionInt, @_arohan_) - Engram (@dan_biderman, @EyubogluSabri, @realJessyLin) - Instinct (@noahrshinn) - Keenable (@styskin, Matthias Petri) - Lumaril (Mark Elliot, Ben Duffield) - Neion Bio (@Dimkell, Sam Levin) - Pangram Labs (@max_spero_, @bradley_emi) - Quadrillion (@echinaceous) - Re (@karnsaroya, @AnandDhillon, @thecliffwhite, @benaneesh) - Ricursive (@annadgoldie, @Azaliamirh) - Sail Research (@neilmovva, @blintzbase) - Trajectory (@rronak_, @michaelelabd, @QuantumArjun) - Watney Robotics (Sean Cheong, Ryan Gannon) Picks from Elad Gil, Charlie Songhurst, Keith Rabois, Mike Vernal, Alana Goyal, Sonya Huang, Ramtin Naimi, Marc Bhargava, Cory Levy, Aashay Sanghvi, Konstantine Buhler, John Luttig, Varun Gupta, Ray Tonsing and Avichal Garg. Disclosure: I'm a small investor in American Terawatt, Convergent, Standard Intelligence and Trajectory (in this post), and in Factory, Physical Intelligence and SF Compute (elsewhere on the list). I didn't vote. The full list is on Breakout List.

Can confirm-- @tacitlabsco is a PHENOMENAL place to work, and has made me an even more ambitious version of myself :) Thanks for the shoutout, @chrisbarber !

I made a list of great startups to join. It's called the Breakout List. The list has 92 companies. These are the 20 with 25 or fewer employees: - Hone (@moritz_stephan, @CarloWillem, @oqbrady) - Normal (@ansonyuu, @hudzah) - Standard Intelligence (@G413N, @devanshpandey) - Tacit Labs (@ninklefitz, @AmDroste) - American Terawatt (@atroyn, @rslparker, @aranibatta) - Conduit (@clemvonstengel, @riopopper) - Convergent (Omkar Savant, Vivek Katara, @debnilsur) - Core Automation (@MillionInt, @_arohan_) - Engram (@dan_biderman, @EyubogluSabri, @realJessyLin) - Instinct (@noahrshinn) - Keenable (@styskin, Matthias Petri) - Lumaril (Mark Elliot, Ben Duffield) - Neion Bio (@Dimkell, Sam Levin) - Pangram Labs (@max_spero_, @bradley_emi) - Quadrillion (@echinaceous) - Re (@karnsaroya, @AnandDhillon, @thecliffwhite, @benaneesh) - Ricursive (@annadgoldie, @Azaliamirh) - Sail Research (@neilmovva, @blintzbase) - Trajectory (@rronak_, @michaelelabd, @QuantumArjun) - Watney Robotics (Sean Cheong, Ryan Gannon) Picks from Elad Gil, Charlie Songhurst, Keith Rabois, Mike Vernal, Alana Goyal, Sonya Huang, Ramtin Naimi, Marc Bhargava, Cory Levy, Aashay Sanghvi, Konstantine Buhler, John Luttig, Varun Gupta, Ray Tonsing and Avichal Garg. Disclosure: I'm a small investor in American Terawatt, Convergent, Standard Intelligence and Trajectory (in this post), and in Factory, Physical Intelligence and SF Compute (elsewhere on the list). I didn't vote. The full list is on Breakout List.

I made a list of great startups to join. It's called the Breakout List. The list has 92 companies. These are the 20 with 25 or fewer employees: - Hone (@moritz_stephan, @CarloWillem, @oqbrady) - Normal (@ansonyuu, @hudzah) - Standard Intelligence (@G413N, @devanshpandey) - Tacit Labs (@ninklefitz, @AmDroste) - American Terawatt (@atroyn, @rslparker, @aranibatta) - Conduit (@clemvonstengel, @riopopper) - Convergent (Omkar Savant, Vivek Katara, @debnilsur) - Core Automation (@MillionInt, @_arohan_) - Engram (@dan_biderman, @EyubogluSabri, @realJessyLin) - Instinct (@noahrshinn) - Keenable (@styskin, Matthias Petri) - Lumaril (Mark Elliot, Ben Duffield) - Neion Bio (@Dimkell, Sam Levin) - Pangram Labs (@max_spero_, @bradley_emi) - Quadrillion (@echinaceous) - Re (@karnsaroya, @AnandDhillon, @thecliffwhite, @benaneesh) - Ricursive (@annadgoldie, @Azaliamirh) - Sail Research (@neilmovva, @blintzbase) - Trajectory (@rronak_, @michaelelabd, @QuantumArjun) - Watney Robotics (Sean Cheong, Ryan Gannon) Picks from Elad Gil, Charlie Songhurst, Keith Rabois, Mike Vernal, Alana Goyal, Sonya Huang, Ramtin Naimi, Marc Bhargava, Cory Levy, Aashay Sanghvi, Konstantine Buhler, John Luttig, Varun Gupta, Ray Tonsing and Avichal Garg. Disclosure: I'm a small investor in American Terawatt, Convergent, Standard Intelligence and Trajectory (in this post), and in Factory, Physical Intelligence and SF Compute (elsewhere on the list). I didn't vote. The full list is on Breakout List.

At OpenAI, it's felt like our researchers & engineers have been living in the future with Codex. Today, we're bringing that same experience to life science researchers with the Rosalind Workbench.

“A gardener is always a futurist”

This might be the most beautiful thing I've read in my life. What a privilege to be alive in 2026. ordinaryabundance.com

BREAKING: Introducing Thesis, @every’s annual conference dedicated to answering the most important question in AI: What does great human work look like after automation? We believe there is a small group of humans who already know the answer to this question because they’re living it every day. But they're scattered across companies and industries, with few opportunities to learn from each other. That’s why we’re throwing Thesis November 5th, 2026 in Brooklyn New York. Our first speakers include: - Ivan Zhao (@ivanhzhao)—Founder and CEO, Notion - Andrew Ambrosino (@ajambrosino)—Member of technical staff, Codex, OpenAI - Cat de Jong - Head of applied AI, Anthropic - Nick Thompson (@nxthompson)—CEO, the Atlantic - Josh Miller (@joshm)—CEO and cofounder, The Browser Company - Cristobal Valenzuela (@c_valenzuelab)—Co-CEO and cofounder, Runway - Lauren Reeder (@laurenmhreeder)—Partner, Sequoia - Sahil Lavingia (@shl)—Founder, Gumroad - Riley Brown (@rileybrown)—Cofounder, Vibecode - Natalie Fratto (@NatalieFratto)—Founder and creator, Charts & Crafts - Allie Garfinkle (@agarfinks)—Senior writer and editor, Fortune - Kane Kallaway (@kanekallaway)—Founder, Wavy Labs - Nat Eliason (@nateliason)—Head of Founders School, Alpha School - Kate Lee (@katelaurielee)—Editor in chief, Every - Katie Parrott (@kplikethebird)—Staff writer, Every - Kieran Klaassen (@kieranklaassen)—General manager of Cora, Every (With more very special people to announce soon!) Learn more: every.to/thesis-2027 What to expect Thesis will feature talks, demonstrations, working sessions, office hours, and small-group conversations with builders, operators, and execs who are already using AI to do incredible human work. And, of course, you can bring your agent. Why New York New York is where the AI wave hits the beach: It's where new model capabilities meet real-world work. Because of this, it’s the best place in the world to see what happens when frontier technology leaves the lab and enters everyday life. That’s why we’re holding Thesis at Pioneer Works, a cultural center in Red Hook dedicated to blending art, science, music, and technology. Space is limited, so we’re accepting attendees by application. We’ll also livestream it for free for anyone who can’t attend in person. You should apply below. Apply to Thesis: every.to/thesis-2027

we believe biology is AI's true frontier edge case today we're it's launching the capital map: the top VCs in AI x Bio The TechBio 50

we believe biology is AI's true frontier edge case today we're it's launching the capital map: the top VCs in AI x Bio The TechBio 50

A super smart scientist asked me last week: what's so hard about reshoring general advanced manufacturing (short of TSMC frontier precision chemistry)? Isn't the issue just labor cost? Nope. A toy example to illustrate: We're trying to build a lot of drone motors in America right now, and falling short. It's not a labor cost issue. The work instruction says: this magnet, this adhesive, cure at this temperature, wipe the rotor first. Any competent team can build the station and follow it. But in week 3, motors start failing vibration testing. Some of them, mostly night shift. Also, weirdly, whenever the careful new hire is on station. The adhesive cures differently with humidity, and the dehumidifier cycles differently at night. The new hire wipes the rotor generously, and that leaves a solvent film the adhesive doesn't like very much. Someone who has run a motor line before can figure this out in 10m. Everyone else -- struggle city. The "fix" is two lines in the work instructions: run the dehumidifier continuously, one solvent wipe per rotor. But those lines aren't in the work instruction, and they're not in anyone's! At best the fix becomes a corrective-action report in one line's files, linked to nothing and never read. A motor line rapidly may go from 5 to 40 stations, each with a dozen of these painful stories on the weekly as it grows. "What Shenzhen knows" is not written down in a book whose covers can be sliced off and ingested into a model, it's a few million humidity stories stored in people, and a pace of knowledge-rich adjustment that keeps cost down and yield high. The only way to get it back is work with people who have brought up lines, to reshore and grow the ecosystem of people who have this knowledge, and to capture that knowledge as we build. Lots of people have clever ideas about the data capture/API piece, but we think the business of manufacturing may need equal portions pain tolerance, customer commitment, and cleverness on talent. America needs to solve the other half of reshoring.