I resigned from Anthropic today. I spent the last three years doing pretraining research at both OpenAI and Anthropic. Neither company is acting responsibly. They are racing straight to self-improving superintelligence and gambling with our lives. More thoughts below. Do not underestimate the power of this technology. These will soon be superhuman systems that can hack anything, revolutionize any field overnight, and acquire real power and resources. We have all witnessed the progress in each of these domains, and progress is not slowing. If the people building AI earnestly believe that it could kill us all by the end of the decade. This is not a marketing stunt. If anything, many executives and senior researchers will couch their phrasing in the press to sound sensible - but I hear the same people express fear privately. No other human activity poses this level of danger. A common response is "if they truly believe this, why are they still building it?" At OpenAI, many have not deeply internalized the civilizational stakes. At Anthropic, the stakes are well-understood, but they are locked in a race to get there first - they believe no one else will act responsibly, so they must do it themselves, despite the risk. Accepting this race and entering the "endgame" is a heuristic gamble that should not be launched from a private company's Slack. Attempting to speedrun alignment should require extraordinary confidence that there are no better trajectories available. I am optimistic about the potential for coordination. Warning shots like the ????? attack have made ????? agreements ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ????? ? I am optimistic about the potential for coordination. Warning shots like the Hugging Face attack have made pacing agreements between U.S. labs more viable. I don't feel like we're on track to prevent a global race, which may require costly actions such as a temporary ban on improving model capabilities. If you are a lab researcher, I urge you to consider what the next few years will actually feel like. Do you want to kick off a superintelligent RL run without a rigorous understanding of its mind? Should you put your head down because "it's happening anyway" - or take this moment to call for different conditions?
What did 
Theo
show?
Theo
Every X post we found on screen in 49 Theo videos, Sep 22 to Nov 3, 2026.
- Videos scanned
- 49
- Hours of video
- 37
- Posts on screen
- 1,121
- Read aloud
- 25%
Most shown accounts
Times each account was on screen across every video. Open one to see each moment.
- 1 @theoOwn account106 times on screen
- 2 @thsottiaux17 times on screen
- 3 @baddie15 times on screen
- 4 @esfand15 times on screen
- 5 @openai14 times on screen
- 6 @ClaudeDevs13 times on screen
- 7 @t3_gg12 times on screen
- 8 @elonmusk12 times on screen
- 9 @claudeai12 times on screen
- 10 @t3code12 times on screen
- 11 @ArtificialAnlys11 times on screen
- 12 @opencode11 times on screen
Theo showed @ThePrimeagen 6 times. Prime showed @theo 0 times.
When posts show up
53% of posts show up in the first half of a video. Each bar is one tenth of a video.
- 167
- 85
- 140
- 72
- 132
- 185
- 114
- 73
- 71
- 82
Read aloud and kept on screen
The posts Theo read out and stayed on the longest.
-
Jacob Coxon@hilbertspaess
Theo read it aloud But first, let's start with what Jacob said.
-
Theo - t3.gg@theo
3 years ago? There were no reasoning models. Tool calls didn't exist yet. It makes no sense to do this comparison at that time scale, the "tasks" models could do crappy auto complete. Sorry to push back so much on this. I know you're smart and I respect the hell out of you, which is why it's so genuinely confusing to me that you have this take. A year ago, the flow was: - highlight text in editor - cmd+k "make it do (something else)" - Read the code by hand I'm also pissed about Gemini 2 Flash being dropped. We used it for a ton of stuff. I've found Luna and GLM-5.3 Flash to be meaningfully better for similar stuff, esp. when structured outputs/tool calls matter at all The first computers cost millions of dollars. I think it's cool that folks like Lauren are pushing the limits while ignoring cost. On average, the "cost for given level of intelligence" drops by ~10x year over year. Recently it's accelerated, with cost drops as high as 4.5x per... The first computers cost millions of dollars. I think it's cool that folks like Lauren are pushing the limits while ignoring cost. Full time CEO @ t3dotcodes & @t3dotchat. Part time YouTuber, investor, and developer Agreed! I got some issues with this. I got some issues with this. The $132m/year is not real at all. Closer to $3m at today's prices, and as low as $1.2k within a year. Yes, $132m -> as low as $1.2k. Hear me out. 1. The price listed is not accurate at all. $11m/month is just wrong. Real "api cost" is prolly $100k-$500k Yes, \$132m -> \$1.2k. Hear me out. 1. The price listed is not accurate at all. \$11m/month is just wrong. Real \"api cost\" is prolly \$100k-\$500k The $132m/year is not real at all. Closer to $3m at today's prices, and as low as $1.2k within a year. Yes, $132m -> $1.2k. Hear me out. 1. The price listed is not accurate at all. $11m/month is just wrong. Real "api cost" is prolly $100k-$500k Rough answer: about 10x cheaper per year for a level that is already a year or more old. In the first year after a level is first reached, the drop is much faster: 100x or more per year. I read these numbers from my screenshot by, using the log scale, so treat them as ±30%: Threshold | First point | Latest point | Time | Annualized ≥10 | ~$0.26 (Jan 25) | ~$0.015 (Mar 26) | ~21 mo to today | ~$5-10/yr ≥20 | ~$0.55 (Oct 25) | ~$0.0045 (Sep 26) | ~12 mo | ~100x/yr ≥30 | ~$2.50 (Feb 26) | ~$0.03 (Sep 26) | ~8 mo | ~1000x/yr ≥40 | ~$4 (May 26) | ~$0.12 (Oct 26) | ~4.5 mo | 30x in 4.5 mo ≥50 | ~$6 (Jul 26) | ~$0.32 (Sep 26) | ~2.5 mo | 20x in 2.5 mo Rough answer: about 10x cheaper per year for a level that is already a year or more old. In the first year after a level is first reached, the drop is much faster: 100x or more per year. I read these numbers from your screenshot by eye, using the log scale, so treat them as ±30%: Threshold First point Latest point Time Annualized ≥10 -$0.26 (Jan 25) -$0.015 (Mar 26) -21 m to today -5-10x/yr ≥20 -$0.55 (Oct 25) -$0.0045 (Sep 26) -12 mo -100x/yr ≥30 -$2.50 (Feb 26) -$0.03 (Sep 26) -8 mo -1000x/yr ≥40 -$4 (May 26) -$0.12 (Oct 26) -4.5 mo 30x in 4.5 mo ≥50 -$6 (Jul 26) -$0.32 (Sep 26) -2.5 mo 20x in 2.5 mo
Theo read it aloud are obviously wrong, or maybe just seem like they might not be right, maybe just screenshot the tweet and throw it at Claude or Codex and ask them to verify the numbers, because even the dumbest AI models nowadays could probably explain to you
-
Matt Pocock@mattpockuk
I've been thinking about this quote for a solid 24 hours It's a like a raspberry ripple of bullshit A vanilla ice cream of VC funding, stirred with a little pinch of turd I've been thinking about this quote for a solid 24 hours Thanks for taking my rather too on-the-edge tweet and inviting a serious debate - I much prefer this. Thanks for taking my rather too on-the-edge tweet and inviting a serious debate - I much prefer this. I'm interested by how you define the term "coding". I'll just @JohnOusterhout's definition of Tactical vs Strategic programming. Tactical: the on-the-ground, day-to-day aspects of coding. Strategic: the long-term. Codebase health, architectural design. Making the right decisions. I agree that AI has largely eaten tactical programming. But I've seen no evidence that it can think strategically. Ousterhout talks about some employees as "tactical tornadoes" - able to churn out astonishing amounts of work with zero eye for the future. That's how agents feel to me right now. I'd love to see how your observations fit into that frame. I'm interested by how you define the term "coding". I'll just @JohnOusterhout's definition of Tactical vs Strategic programming. Tactical: the on-the-ground, day-to-day aspects of coding. Strategic: the long-term. Codebase health, architectural design. Making the right decisions. I agree that AI has largely eaten tactical programming. But I've seen no evidence that it can think strategically. Ousterhout talks about some employees as "tactical tornadoes" - able to churn out astonishing amounts of work with zero eye for the future. That's how agents feel to me right now. I'd love to see how your observations fit into that frame. "I do see some parts of strategic coding being automated" I agree partially. Lots of folks are building automated pipelines like:
Theo read it aloud Matt saying that this post reads like a vanilla ice cream of VC funding stirred with a little pinch of turd.
-
Boris Cherny@bcherny
Replying to @dedene Coding is solved, bugs are not yet solved. Fix incoming tbh this is a good debate to have. Here is what the timeline of the near past/future looks like to me: 1. Models are able to code better than I can tbh this is a good debate to have. It's a like a raspberry ripple of bullshit tbh this is a good debate to have. Here is what the timeline of the near past/future looks like to me: 1. Models are able to code better than I can 2. Models are able to do coding-adjacent engineering work better than I can: debugging, profiling, optimizing, bug fixing, system design, abstraction design, ui design, idea generation, etc. 3. Models are able to do most things that can be done on a computer better than most people For the kinds of coding that I do, Claude has achieved 1 and some (but not all) of 2. It is showing early-ish signs of 3. This is not the case for all coding yet. If you are Anders Hejlsberg and are a world class expert in compilers and type systems, Claude might not be at 1 yet. My bet would be that it gets there quite soon, while at the same time pushing further into 2-3 territory for the rest of us. You can think of model capabilities as capturing the distribution of human ability. I consider myself an average programmer so Claude has already surpassed me, but the same is not yet true for everyone. Back in Nov 2025 I fully stopped writing code by hand, though I continue to code (using agents) every day. That is the point where for me and Tactical: the on-the-ground, day-to-day That an interesting framing. My definitions are: - Coding/programming: the act of writing code - Engineering: everything else in addition to that Tactical/strategic is another reasonable split. I do see some parts of strategic coding being automated, eg. we are starting to automatically maintain our apps at Anthropic, as are a quickly increasing number of customers. That an interesting framing. My definitions are:
Theo read it aloud So hopefully you now understand my stance on this and what I think Boris was saying.
Every video
49 videos and the posts on screen in each. Open one to see the accounts.
Agents Sucked At UI (Until Today)10 posts
7 accounts on screen. Watch on YouTube
OpenAI is getting desperate10 posts
Anthropic can't stop winning12 posts
Are Harnesses Dead?28 posts
T3 Code broke me6 posts
6 accounts on screen. Watch on YouTube
How To Give Claude Unlimited Usage1 posts
1 account on screen. Watch on YouTube
pstack creator spends $132,000,000/year on ai????44 posts
These 3 skills changed my life7 posts
3 accounts on screen. Watch on YouTube
I shipped a lot and learned even more :)165 posts
- @theo ×16
- @t3code ×6
- @DansGaming ×4
- @robinebers ×4
- @Esfand ×3
- @SjohnTrombley ×3
- @chamath ×3
- @elonmusk ×3
- @fleet ×3
- @maria_rcks ×3
- @t3dotgg ×3
- @Baddie ×2
- @ProMini ×2
- @TheYossi86 ×2
- @UNKYNDLED ×2
- @bretth7377 ×2
- @dakdevs ×2
- @fossabot ×2
- @mallin_dean_ ×2
- @markgurman ×2
- @respergu13 ×2
- @sliva0 ×2
- @slophouse ×2
- @t3_gg ×2
110 accounts on screen, the 86 least shown not listed. Watch on YouTube
Even The NSA Got Involved11 posts
I'm getting impatient...289 posts
- @theo ×20
- @Esfand ×9
- @thdxr ×9
- @opencode ×6
- @LLMJunky ×5
- @Railway ×5
- @UNKYNDLED ×5
- @astuyve ×5
- @qabbout ×5
- @BennettBuhner ×4
- @HSVSphere ×4
- @Baddie ×3
- @FBIcyberDiv ×3
- @JustJake ×3
- @OpenAI ×3
- @PipkinPippa ×3
- @lisabey ×3
- @t3dotgg ×3
- @t3gg ×3
- @Alden ×2
- @BunnyCDN ×2
- @CaptainRoBear ×2
- @FBIcyberberDiv ×2
- @JulianGoldieSEO ×2
194 accounts on screen, the 170 least shown not listed. Watch on YouTube
Opus 5.5 is proof that we do need smarter models15 posts
Your prompts kinda suckNone
No X posts found on screen. Watch on YouTube
Anthropic Rebuilt Git (yes really)2 posts
1 account on screen. Watch on YouTube
So I've been testing Gemini 4...1 posts
1 account on screen. Watch on YouTube
Meta just caught up with Anthropic6 posts
4 accounts on screen. Watch on YouTube
I thought AI was gonna get cheaper?11 posts
7 accounts on screen. Watch on YouTube
You can rewrite typescript in rust for $420k13 posts
Does the $200 Codex plan suck now?5 posts
4 accounts on screen. Watch on YouTube
I love Ultrafast (it's unusable)9 posts
7 accounts on screen. Watch on YouTube
Anthropic Made Claude Even Better33 posts
If you have a Claude sub, watch this15 posts
8 accounts on screen. Watch on YouTube
OpenAI should be scared of this one1 posts
1 account on screen. Watch on YouTube
So much for "Pacing" the Frontier4 posts
4 accounts on screen. Watch on YouTube
Getting the most out of Opus 5.5None
No X posts found on screen. Watch on YouTube
OpenAI fights back4 posts
3 accounts on screen. Watch on YouTube
So I was using Fable wrong...8 posts
6 accounts on screen. Watch on YouTube
Elon promised this one would be good...26 posts
My new favorite model.22 posts
Which AI Models Are Worth Using2 posts
2 accounts on screen. Watch on YouTube
Boris Is Right Again (I Hate It)18 posts
Stop Pretending You Understand Your Codebase2 posts
2 accounts on screen. Watch on YouTube
I think they mean it this time12 posts
Jev is incredible34 posts
- @CompletesKeptic ×3
- @t3_gg ×3
- @theo ×3
- @Gostev ×2
- @Griffing ×2
- @ryanvogel ×2
- @tamarajtran ×2
- @BadgeWeare
- @ChrisGriffing
- @NickZelei
- @PeterGoster
- @aaronbatilo
- @astra
- @braintrust
- @camsoft2000
- @chris_griffing
- @ctatedev
- @iamvlaaaaaaaad
- @mattdesl
- @matthieunapoli
- @tamara
- @theo_t3gg
- @turckalicious
- @typesafeai
24 accounts on screen. Watch on YouTube
Turn off Claude Code's Memory22 posts
How I Code Without Typing2 posts
2 accounts on screen. Watch on YouTube
Fable Vs Astra Debate Is Over47 posts
- @t3code ×3
- @baddie ×2
- @melee ×2
- @pingdotgg ×2
- @BennettBuhner
- @Chris_Griffing
- @DavidKPiano
- @Dimillian
- @JoshuaRileyDev
- @Josikinz
- @LWJShow
- @QuinnyPig
- @RhysSullivan
- @Shay_Benshabtay
- @_winter_wonders
- @aronprins
- @bhinkk
- @chrisgriffing
- @daradoescode
- @davis7
- @developedbyed
- @enunomaduro
- @exOtIcIcIol
- @exOttclol
42 accounts on screen, the 18 least shown not listed. Watch on YouTube
Anthropic Is "Increasing" Your Limits18 posts
This Model Shouldn't Exist...4 posts
3 accounts on screen. Watch on YouTube
NVIDIA Just Lost Their Lead21 posts
It's Here.15 posts
Ox Alpha is INSANE20 posts
Please stop using stupid models42 posts
- @theo ×4
- @zeeg ×4
- @Baddie ×2
- @DavidKPiano ×2
- @AGUnetwork
- @ChrisGriffing
- @Deadzin_
- @Granthium
- @Luciv_
- @MikaylaAtZed
- @MonoToneMoo
- @Nishimura_Katao
- @TannerDupaix1
- @aether
- @alecduc
- @ars2107_
- @bedesqu
- @cristie
- @draban
- @electrocult
- @fooforce
- @freezilite
- @jessethanley
- @jsdaniel
34 accounts on screen, the 10 least shown not listed. Watch on YouTube
Well This Was Unexpected...22 posts
Did AI Kill React Native?14 posts
You're using AI agents wrong3 posts
2 accounts on screen. Watch on YouTube
My New Favorite Model12 posts