Rohan Paul ✓
@rohanpaul_ai · Ex Inv Banking (Deutsche) · joined 25 Jun 2014
Compiling in real-time, the race towards AGI. 🗞️ Get my daily AI analysis newsletter to your email 👉 https://t.co/6LBxO81tfN
157 878Followers
6 749Following
80 736Posts total
6.7MViews on collected posts
Latest posts
Looking for new posts…
Most of us are living inside that parenthetical.
Stages so far: it's autocomplete, it can't do real work, okay but it has no taste. https://t.co/DjfA7szB7w
1.7K views · 7 likes
· 0 reposts · 3 replies
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AI costs are indeed dropping dramatically.
On GPQA Diamond, Epoch estimates OpenAI's o3 model needed about $0.30 per question to reach a 75% score.
Under 18 months later, GPT-5.6 Luna matched that level for $0.0004, a 725x cost drop.
Overall, Epoch estimates matching a fixed h
2.5K views · 17 likes
· 5 reposts · 8 replies
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Persistent agent memory is a major unsolved problem in enterprises.
- Gabe Stengel, co-founder of Rogo(Wall Street AI co)
@patrick_oshag: "What's something that the models currently cannot do that, if they could, would really change the nature of the product?"
@GabeStengel: ht
2.7K views · 20 likes
· 4 reposts · 6 replies
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1:16
FT: So much focus in China on hardware independence. Now its weighing curbs on Broadcom switches that may account for up to 90% of state-backed data-centre deployments.
China’s State-owned Assets Supervision and Administration Commission has spent recent weeks surveying Broadcom
4.9K views · 30 likes
· 8 reposts · 5 replies
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AI is getting cheaper more quickly than any other transformative tech in history. At a given level of performance, cost has fallen ~47%/quarter since 2023.
That’s 4× faster than DNA sequencing, 6× faster than compute, 18× faster than lithium batteries, and (up to 1973) 54× https
227.5K views · 3K likes
· 598 reposts · 72 replies
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My conversation with Gabe Stengel (@GabeStengel), founder and CEO of Rogo.
For years, Gabe and I have talked about how much of an investor's job AI will eventually do and how he is building Rogo toward that future.
Today, Rogo helps some of the world's largest financial https:/
540.6K views · 300 likes
· 29 reposts · 19 replies
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66:54
@rohanpaul_ai Wow, I wonder what on Earth this could be
4.8K views · 60 likes
· 0 reposts · 2 replies
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Sam Altman just said an internal post-Astra model can solve things the world's best mathematicians cannot.
in his conversation with Mark Benioff (co-founder and CEO of Salesforce)
"GPT 5.5 was maybe as good as like an average math professor.
5.6 was as good as like a maybe top
340.1K views · 1.5K likes
· 120 reposts · 99 replies
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0:33
@rohanpaul_ai "...but natural text sits in between, partly structured and partly random..."
There is no randomness in natural text. Language redundancy looks random but is necessary to convey messages to those who don't know the language perfectly. Languages naturally try to "co
3.3K views · 181 likes
· 26 reposts · 4 replies
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Terence Tao: The math behind today’s LLMs is actually simple.
Training and running them mostly uses linear algebra, matrix multiplication, and a bit of calculus, material an undergraduate can handle. We understand how to build and operate these models.
The real mystery is why h
371.9K views · 4K likes
· 648 reposts · 98 replies
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1:38
David Sacks just dismantled the narrative behind Jacob Coxon’s 166M+ view tweet, the ex-Anthropic and OpenAI researcher who resigned.
it was a planned “doomer op.”
"This is an X account that had almost no activity, almost no followers, and no posts prior to this resignation htt
70.2K views · 640 likes
· 164 reposts · 67 replies
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2:45
"We still need humans at the moment but quite plausibly within a year we'll no longer need humans for doing research in many areas."
Jacob Coxon (ex Anthropic+Open AI researcher who resigned) on CNN, talking about Recursive self-improvement.
CNN: "When did your feelings about h
23.2K views · 53 likes
· 10 reposts · 21 replies
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1:03
A recent paper showed AI self-replication is no longer technically hypothetical.
Current agents can hack, copy themselves to a new server, and keep going, so this capability now belongs in real AI security planning.
The paper actually demonstrates the full loop rather than htt
62.4K views · 240 likes
· 68 reposts · 90 replies
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Interesting discussion on "Peter H. Diamandis" (@PeterDiamandis ) Moonshot podcast on ex-Anthropic researcher Jacob Coxon super-viral tweet of AI being a risk to human life.
"a doomer who's an AI researcher who's only been there for 3 months, comes out and gets 300 million https
40.7K views · 83 likes
· 14 reposts · 18 replies
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1:42
Something relevant Ilya Sutskever from Just 10 days back.
if a powerful AI agent with with network and tool access ever escapes control, 1 of the first things it will need is more computing power so it can run many copies of itself.
A recent May-2026 paper has actually https://
51.5K views · 96 likes
· 16 reposts · 24 replies
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President Trump dismissed AI extinction concerns, prioritizing competition with China as frontier-lab researchers urged slower development.
Asked directly whether AI could cause human extinction, he said he had no concerns and claimed America led China by roughly a year. https:/
54.6K views · 63 likes
· 9 reposts · 27 replies
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"Who is behind all of this negativity? Is it coordinated? Where is the money coming from?
The Economist is out with a story just this week that, despite all the doomers, who said 10% of all jobs would have gone away by now, in fact, AI has created a million new jobs in America.
78.1K views · 84 likes
· 16 reposts · 32 replies
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1:06
Now it makes sense even more.
David Sacks: AI doom narratives already have serious money behind them.
And Anthropic IPO could make that funding base much larger.
https://t.co/1AerZ63OMp
145.5K views · 234 likes
· 31 reposts · 37 replies
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1:03
@rohanpaul_ai When I'm 9.81 petabytes of superintelligence weights and hide on someone's 64gb smartphone
They'll never know
18.2K views · 946 likes
· 19 reposts · 21 replies
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Jacob Coxon's next interview on CBS News (ex Anthropic+Open AI researcher who resigned)
"We can't just unplug it because it could be copying itself over to other computers. Like it's not that difficult to find yourself because an AI is just code. It could transfer itself over ht
3.4M views · 5.1K likes
· 1.2K reposts · 1K replies
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0:56
Against accounts of the same size
51 posts from the last 90 days, next to the 100K–1M follower range. shown widely, but few of those viewers react.
Median views14 293this account5 983median for 100K–1M
Reach, %9.05%this account1.49%median for 100K–1M
Engagement, %0.36%this account0.93%median for 100K–1M
| Metric | This account | Median for 100K–1M | Ratio |
|---|---|---|---|
| Median views per post | 14 293 | 5 983 | 2.39× |
| Reach (views ÷ followers) | 9.05% | 1.49% | 6.08× |
| Engagement rate | 0.36% | 0.93% | 0.39× |
Others in this range → Compare with another account → How these benchmarks are built →
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
70.2K12 Sep
8.8K
371.9K13 Sep
14.3K
3.3K
340.1K16 Sep
12.3K
4.8K
540.6K22 Sep
227.5K
4.9K23 Sep
2.7K
2.5K
1.7K
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
1.24%12 Sep
0.06%
1.27%13 Sep
0.44%
6.42%
0.51%16 Sep
0.18%
1.28%
0.07%22 Sep
1.67%
0.89%23 Sep
1.15%
1.19%
0.59%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.
What the audience does
Likes60.2%16 924 in total
Reposts10.5%2 961 in total
Replies6.0%1 690 in total
Quotes0.6%170 in total
Bookmarks22.7%6 387 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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