Jakub Pachocki ✓
@merettm · joined 22 Aug 2018
OpenAI
93 006Followers
26Following
52Posts total
8.6MViews on collected posts
Posts recentes
Procurando novos posts…
@merettm We don't want more safety-washing blogs from OpenAI.
We want you reckless sociopaths to stop.
10.1K views · 146 likes
· 6 reposts · 5 replies
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@merettm Your essay mostly talks about your concerns over continued and accelerating AI research. And yet you don’t present a single cogent argument for why you continue doing it. If you’re so concerned, why don’t you just disband OpenAI?
32.9K views · 349 likes
· 0 reposts · 19 replies
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@merettm your company has been so hostile to me and yet a lot of what you just said has been a constant theme on my work, in my 2023 TED talk and Senate testimony, my substack, my tweets etc., all of which has pointed to serious challenges in achieving alignment with LLMs and the
80.2K views · 250 likes
· 11 reposts · 21 replies
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“Currently I believe that no lab has solved alignment and monitoring to a sufficient degree to continue responsibly scaling at maximum speed for much longer. I expect and hope for voluntary slowdowns to become commonplace until shared safety bars are established. And I believe
104.9K views · 140 likes
· 21 reposts · 16 replies
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@merettm "We built something we don't fully understand." That is literally what you are saying.
That AI isn't engineered, it grows like an organism.
You put in compute, intelligence comes out, but you don't know exactly why it does what it does.
You liken it to neuroscience,yo
5.4K views · 79 likes
· 22 reposts · 7 replies
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@merettm Thanks for speaking up on this and for keeping the depth low for now. I look forward to reading your deeper explanation. It seems to me (and I suspect you agree?) that monitorability is very important and we are now in something of a race to the bottom on it; even with d
28.1K views · 469 likes
· 19 reposts · 0 replies
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@merettm “ confused reporting “ yes but also people not reading the full article
23.3K views · 219 likes
· 0 reposts · 5 replies
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@merettm lot of aura in this post, thanks 🙏
14.1K views · 121 likes
· 1 reposts · 0 replies
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I want to prevent a race into unmonitorability kicked off by confused reporting. The depth of the computation graph for our present frontier models, including Astra, is within a factor of two of GPT-4.
OpenAI has worked to preserve and utilize chain-of-thought monitoring since
1.6M views · 6.4K likes
· 505 reposts · 268 replies
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We temporarily slowed some frontier training to strengthen security and monitoring. Our largest planned frontier RL run remains on hold while smaller-scale training and evaluations help us test safeguards and gather more evidence of alignment.
I expect confidence in safety to
374.9K views · 1.4K likes
· 97 reposts · 86 replies
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The north stars we're working towards at OpenAI all center around the mission: ensure AGI benefits all of humanity. AI should expand human agency, not make people less consequential to the future.
https://t.co/plE5RMeRah
241.5K views · 599 likes
· 54 reposts · 127 replies
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Based on the official #1stProof commentary, community analysis, and more clarification with external experts we now believe the solution to problem 2 above is likely incorrect. Grateful for the engagement and looking forward to continued review!
71.7K views · 253 likes
· 7 reposts · 5 replies
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Solution attempts from our model: https://t.co/XxYTAy0w7X
119.5K views · 453 likes
· 38 reposts · 21 replies
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@merettm How are we supposed to celebrate future capabilities when you dismantled what was tangibly helping us? You can do research without trampling us, you know. We genuinely looked up to you and cherished your creation. #keep4o
8.8K views · 139 likes
· 5 reposts · 6 replies
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Very excited about the "First Proof" challenge. I believe novel frontier research is perhaps the most important way to evaluate capabilities of the next generation of AI models.
We have run our internal model with limited human supervision on the ten proposed problems. The
2.6M views · 2.8K likes
· 345 reposts · 240 replies
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@merettm Looking forward to autoformalization of mathematics become a thing. This will trigger a deep revolution in human exploration of science!
2.2K views · 11 likes
· 0 reposts · 1 replies
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Last week, our reasoning models took part in the 2025 International Collegiate Programming Contest (ICPC), the world’s premier university-level programming competition. Our system solved all 12 out of 12 problems, a performance that would have placed first in the world (the best
744.6K views · 1.3K likes
· 146 reposts · 57 replies
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1/n
I’m really excited to share that our @OpenAI reasoning system got a perfect score of 12/12 during the 2025 ICPC World Finals, the premier collegiate programming competition where top university teams from around the world solve complex algorithmic problems. This would have ht
2.5M views · 2.8K likes
· 432 reposts · 138 replies
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Em comparação com contas do mesmo porte
11 posts dos últimos 90 dias, ao lado da faixa de 10K–100K seguidores. aparece para muita gente, mas poucos desses espectadores reagem.
Mediana de visualizações32 906esta conta924mediana para 10K–100K
Alcance, %35.38%esta conta3.62%mediana para 10K–100K
Engajamento, %0.96%esta conta1.52%mediana para 10K–100K
| Métrica | Esta conta | Mediana para 10K–100K | Proporção |
|---|---|---|---|
| Mediana de visualizações por post | 32 906 | 924 | 35.6× |
| Alcance (visualizações ÷ seguidores) | 35.38% | 3.62% | 9.77× |
| Taxa de engajamento | 0.96% | 1.52% | 0.63× |
Outras contas desta faixa → Comparar com outra conta → Como estas referências são construídas →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
119.5K14 Feb
71.7K
241.5K8 Jun
374.9K18 Aug
1.6M2 Sep
14.1K
23.3K
28.1K
5.4K6 Sep
104.9K
80.2K
32.9K
10.1K
111.2K8 Sep
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.43%14 Feb
0.38%
0.33%8 Jun
0.42%18 Aug
0.46%2 Sep
0.86%
0.96%
1.75%
2.03%6 Sep
0.17%
0.35%
1.12%
1.55%
1.40%8 Sep
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.
What the audience does
Likes72.5%19 012 in total
Reposts6.8%1 797 in total
Replies4.8%1 260 in total
Quotes2.7%711 in total
Bookmarks13.2%3 455 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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