Ayush 🙏 ✓
@ayushtweetshere · Free Idea Bank👇 · joined 08 May 2010
Father, Husband, Son, Friend Independent Entrepreneur https://t.co/nfa4bHXJcb https://t.co/ApZqM4PADn
12 943Followers
2 590Following
50 001Posts total
3.3MViews on collected posts
Últimas publicaciones
Buscando publicaciones nuevas…
You go one day without X and realize the absurdity of this platform
And the inertia to come back shoots up
Can’t get myself to look at the timeline anymore.. it’s so gross.. custom built to hack my attention
Screen time all time low
Inner peace all time high
The farther
834 views · 13 likes
· 1 reposts · 2 replies
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oh nice
🟢 if you're in the green, drop yours, I'll follow https://t.co/g4tfZ3vMOn
25K views · 118 likes
· 2 reposts · 146 replies
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JUST IN: Professor Jiang claims AI isn’t real intelligence & is instead “manipulated by humans somewhere in India.”
738.3K views · 6K likes
· 410 reposts · 728 replies
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Today we're killing OutlierKit ourselves..
Thousands of unique OutlierKits will be recreated by our users..
Turn your agent into a $10,000 YouTube Strategist -
We're launching our API and MCP, so you can have best the YoutTube competitor data and insights.. wherever YOU htt
20.1K views · 83 likes
· 20 reposts · 36 replies
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0:49
Zuck just called BS on Dario openly..
Dario wants regulators to decide who is allowed to build frontier AI.
Zuck’s response is simple:
- misaligned agents lose users
- harmful models create liability
- independent evaluators make better products
Meta delayed Muse for safety.
10.2K views · 63 likes
· 16 reposts · 1 replies
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More thoughts on why I think the big AI labs have no moat, and why their business model is collapsing..
this is exactly why they're running this AI psyop..
https://t.co/tBL8TROdcE
265 views · 1 likes
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And this is how their moat is slipping away..
https://t.co/XX0VnnQPnY
496 views · 0 likes
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Open Source models are already handling 20% of the work load.. At 100x lower cost than OpenAI and Anthropic..
the frontier labs have no moat...
At least not the moat everyone thinks they have.
Bindu says their own open-source models are already doing 20% of their workloads at
2K views · 10 likes
· 4 reposts · 2 replies
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this is what Dario doesn't want you to know - https://t.co/jHOqOJ9WBL
953 views · 3 likes
· 0 reposts · 2 replies
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this is exactly what Dario doesn't want you to know -
METR isn't a third party
it's on the Anthropic payroll through a $7.7B stock pile
the "independent" AI safety machine is funded by Anthropic itself
the same money funds -
- the evaluators
- the doom media
- the push for
3.7K views · 24 likes
· 6 reposts · 2 replies
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And Anthropic has 80% margins btw.. highly profitable -
https://t.co/x0z82NJQtz
1.6K views · 5 likes
· 0 reposts · 1 replies
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“Highly profitable if you take out the biggest expenses”
Anthropic biggest brain company in the world 🤡 https://t.co/9rP6hij2VT
4K views · 35 likes
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GIF
btw.. if you want a dictation app that doesn't train on your voice data.. check out voibe - https://t.co/J78oPxjJAW
5K views · 3 likes
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the Chinese are marching ahead -
https://t.co/pvpt42MfEA
15K views · 42 likes
· 4 reposts · 3 replies
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This is exactly what Dario and sama are afraid of -
- Chinese AI company Z AI just raised $5 Billion
- 60% of that will go to fund the next generation of GLM models.
- Z AI's stated goal is to achieve a "Full Self Training" system..
Basically RSI - Recursive Self Improving
57.3K views · 142 likes
· 27 reposts · 16 replies
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This is exactly what they fear and why they’re coordinating a massive ai psyop
https://t.co/nBU5lWmRal
24.8K views · 127 likes
· 10 reposts · 4 replies
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@ayushtweetshere Old enough to remember when companies had small server rooms and a small IT staff before everyone migrated to the cloud. Are we coming full circle and what's old is new again? Local compute and a small IT staff augmented w/ AI agents for customized productivity?
8.1K views · 179 likes
· 8 reposts · 11 replies
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this is Dario and sama's worst nightmare -
A law firm buying Nvidia servers.
Latham & Watkins is building an in-house AI stack..
this is US’s second-largest law firm with $8.3 Billion in revenue last year
And now it has -
- Nvidia hardware it controls
- open-weight models
1.3M views · 13.6K likes
· 1.9K reposts · 356 replies
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So they need Trump to put pressure on China..
https://t.co/5re00tCTMd
108 views · 2 likes
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sama's last line is most telling -
"Where we will need the help of our government is for international coordination. But first we should do what we can ourselves."
Internally the big AI labs have already figured out their "pacing" strategy..
both Dario and Sama agree they
1.4K views · 15 likes
· 4 reposts · 1 replies
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Btw if anyone cares about data privacy and sovereignty… they should check out Voibe - privacy friendly dictation app.. no big ai labs involved.. zero data retention.. open source models only.. data never used for ai training.. unlike all our big competitors..
228 views · 0 likes
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Everyone pls read David’s take if you haven’t already.. best thing so far…
2K views · 10 likes
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@ayushtweetshere And our best chance and voice or reason is Jensen Huang, and he just bought @huggingface almost like he knew this was coming...
1.5K views · 17 likes
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Related… this is their “independent reviewer”
6.9K views · 15 likes
· 1 reposts · 1 replies
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In other news, Deepseek v4.1 flash kicked their ass just last week -
https://t.co/ncx6ixXURr
10.2K views · 71 likes
· 2 reposts · 1 replies
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Frente a cuentas del mismo tamaño
34 publicaciones de los últimos 90 días, junto al rango de 10K–100K seguidores. llega a mucha gente, pero pocos de esos espectadores reaccionan.
Visualizaciones medianas4 258esta cuenta924mediana de 10K–100K
Alcance, %32.90%esta cuenta3.62%mediana de 10K–100K
Interacción, %0.82%esta cuenta1.52%mediana de 10K–100K
| Métrica | Esta cuenta | Mediana de 10K–100K | Proporción |
|---|---|---|---|
| Visualizaciones medianas por publicación | 4 258 | 924 | 4.61× |
| Alcance (visualizaciones ÷ seguidores) | 32.90% | 3.62% | 9.09× |
| Tasa de interacción | 0.82% | 1.52% | 0.54× |
Otras cuentas de este rango → Comparar con otra cuenta → Cómo se construyen estas referencias →
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
3.7K15 Sep
953
2K
496
265
10.2K16 Sep
148
20.1K18 Sep
1.6K20 Sep
738.3K
973
25K21 Sep
183
83422 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
0.90%15 Sep
0.52%
0.83%
0.40%
0.38%
0.80%16 Sep
0.68%
0.78%18 Sep
1.35%20 Sep
1.03%
1.44%
1.08%21 Sep
1.09%
1.92%22 Sep
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.
What the audience does
Likes68.7%20 629 in total
Reposts8.0%2 404 in total
Replies4.4%1 333 in total
Quotes2.7%800 in total
Bookmarks16.1%4 847 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
Followers by day
14 Sep
Daily snapshots since 14 Sep 2026; the dashed line is the starting count.
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