
writer // partner @thegp leading media, producer of "the general podcast" prev work: @techreview @theinformation @every @voxdotcom @nytimes & others
San Francisco, CA
Joined March 2010
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I love making this show for many reasons, but chief among them is physically being in the room for these conversations, and literally feeling the electric energy between two people who are truly excellent at what they do⚡️
All episodes of Season 1 of The General Podcast are out now.
Big thank you to every guest who made our first season what it was:
@reidhoffman x @johnolilly
@chrisbest x @AndrewMayne
@chrissyfarr x @DrSidMukherjee
@danshipper x @alexrkonrad
@chughesjohnson x Gretchen Howard
@brian_lovin x @wjosephflynn
@MerrillLutsky x @zachlloydtweets
@bingfish x @stephenpiron
@annaebinder x @ericagalioto
@lil_dill x @randyjhunt
We made this “hostless” show around the simple idea that the best conversations in tech don’t always happen in interviews or on panels, but between peers at the very top of their craft.
Season 2 now loading…
RT @thegp: “I would say it helped me kind of solve my own problems … just answering Jordan every morning and getting him through his proble…
student newspapers are amazing
‘The Cornell Daily Sun’ spent months reporting on the ‘Cornell Seven’ lawsuit. We spoke with lead reporter Cereese Qusba and editor-in-chief Sophia Dasser about their work, the paper’s blistering editorial, and what’s next. thecut.com/article/cornell-d…
Taylor Majewski retweeted
AI has a distribution problem.
Massive data center investment creates intelligence, but without the systems to deliver it, the people who need it won't benefit.
@phineasb joined @akashpasricha on @theinformation's TITV to explain what distributed compute could look like:
Taylor Majewski retweeted
I hear roughly 3 reasons people keep working at AI labs despite believing in ~10% extinction risk:
1) Techno-determinism: Someone will build ASI no matter what, and I can do it better & more safely than China/OpenAI/etc
2) Consequentialism: ASI might kill us, but it also might produce utopia/immortality/superabundance, so it's a +EV bet
3) Self-interest: I am personally having fun & getting rich working on cool tech with friends. I don't think about the macro stuff.
Notably, none of this is "I'm hyping up the risk for marketing reasons." People believe what they say, while being capable of a lot of internal dissonance / compartmentalization / self-justification.
(Personally, I think the public is better served by AI researchers talking about & creating consensus for the specific safety solutions — regulatory or otherwise — they want vs. vagueposting about extinction.)
This essay articulates something I’ve been thinking about for a while now - if you enjoyed your job at all in the before times, why would you dare outsource it to AI?
"It occurred to me the other day: when I use AI too much, I enjoy my work so much less. I miss the moments I’d look up and realize hours had passed while falling down rabbit holes of markets, new tech. New AI norms in venture (promising greater speed, deeper analysis), have compressed all of this into reviewing a stack of research memos created by a soulless all-knowing machine.
All of my conversations and research get flattened into this growing to-do list of sameness. Totally devoid of the signal I used to get from following my energy - where I wanted to learn more, the random connections to other areas of interest.”
- @phineasb
Taylor Majewski retweeted
"It occurred to me the other day: when I use AI too much, I enjoy my work so much less. I miss the moments I’d look up and realize hours had passed while falling down rabbit holes of markets, new tech. New AI norms in venture (promising greater speed, deeper analysis), have compressed all of this into reviewing a stack of research memos created by a soulless all-knowing machine.
All of my conversations and research get flattened into this growing to-do list of sameness. Totally devoid of the signal I used to get from following my energy - where I wanted to learn more, the random connections to other areas of interest.”
- @phineasb
Taylor Majewski retweeted
The list of ways founders deserve better is long - but this is one for sure!
Massive VC investments can leave startup founders heavily diluted—and push their companies into businesses they never intended to build.
@thegp co-founder @phineasb:
"This business model that works is not what they intended to pursue, but it's where they end up."
"And I think founders deserve better than sort of being a victim of the, the capital machine."
"The VC arguing for raising less and building software" !
@thegp x @theinformation this morning
"Raise less and build software."
AI’s biggest opportunity right now is at the application layer. Founders, build companies that maximize learning per dollar spent and depend on customer traction, not capital markets.
@phineasb joined @theinformation’s @akashpasricha to explain why it's time to build software at the seed again.
Taylor Majewski retweeted
Tune in!
@phineasb is going to be talking about his essay, "Raise less and build software," on @theinformation's TITV today 📺
Today on TITV:
-Wafer CEO @gpuemi on its $40M Series A at a $200M valuation
-Nvidia invests $3.5B in MediaTek Convertibles | @neemustafa, Partner at New Enterprise Associates
-The VC arguing for raising less and building software | @phineasb, Co-Founder of The General Partnership
📺 Tune in at 10 am PT / 1 pm ET on thein.fo/4zOKpbL
Taylor Majewski retweeted
I think people are severely under-covering the rising class of political donors at AI labs. If you’re one of them and want to talk about your motivations for giving, reach out!
The lone Democrat in Alaska’s governor’s race is taking in donations from… Anthropic employees?? I tried to figure out why sfstandard.com/2026/08/31/an…
Artificial general intelligence (AGI) may be the biggest technological shift of our lifetime yet not be where most of the money is made.
@phineasb, cofounder and managing partner at @thegp, expects AI to fragment into thousands of “not really AGI” systems that are good enough at general reasoning and exceptional at one particular job.
This specialization—not general intelligence—is where most of AI’s economic value will be captured.
Read Phin’s Thesis Statement: every.to/thesis-statements/p…
Taylor Majewski retweeted
NEW Episode of The General Podcast.
@EricSimons (@bolt) x @thatsjonsense (@GammaApp)
Eric and Jon are building two of AI's fastest-growing products. In this episode, they trade notes on:
• Scaling at breakneck speed
• Staying intentionally lean
• Rethinking product, design & engineering
• Why AI agents still need people
Tune in 🎧
worlds collide! and ofc it's about the very human task of giving AI good taste.
glad to see @thegp portco (and emmy nominated!!) pickford.ai in this great piece written by my dear friend rebecca ackermann for @FastCompany
Taylor Majewski retweeted
no one is doing it like @404mediaco
Exclusive: A rare bookseller suspected his books were being bought by AI companies. He stuck an AirTag in a book and we tracked it to a secretive Amazon facility in Las Vegas where they scan and destroy books called VGT3:
404media.co/we-tracked-a-shi…
BREAKING:
When today’s jobs are automated by AI, what will great human work look like?
This is the most important question of our time.
Introducing Thesis Statements, a new project from @every bringing together 100 builders and thinkers to call their shot:
We asked them to make a specific prediction about what great human work will look like after automation.
Today we’re launching the first 25 Thesis Statements from an incredible group including:
• @karrisaarinen
• @cjpedregal
• @neuranne
• @yash_tek
• @komorama
• @fkpxls
• @jonnym1ller
• @p_millerd
• @sariazout
• @tomcritchlow
• @SimoneStolzoff
And 14 more amazing builders and thinkers.
At @every we believe there is a bright future for human work after automation. And we believe that there’s a small group of humans who know what it looks like—because they live the answers every day.
But their ideas are still largely missing from the mainstream discourse about AI. That’s why we’re creating a public record of what people at the frontier are seeing now, so we can get these ideas to as many people as possible.
We’ll also revisit them over time, and ask: Which claims held up? Which didn’t? Which became more useful as the technology changed—and which dissolved on contact with the world?
Read them, argue with them, share them, and submit your own:
every.to/thesis-statements-2…
WSJ mornings
In the @WSJ this morning:
Multiplier raises $35M led by TheGP + hires former Slack CFO Allen Shim. More from our Partner @akline_SF on the investment:
Fascinating deep dive on the Stripe mafia from @FastCompany (ft. @thegp + our founders!). My favorite detail on the "university-like" academic vibes
fastcompany.com/91538341/str…


















