Varun ✓
@varun_mathur · San Francisco, CA · joined 11 Nov 2008
Founder and CEO @HyperspaceAI
35 668Followers
11 832Following
8 050Posts total
790.4KViews on collected posts
Latest posts
Looking for new posts…
agentic swarms above a certain compute threshold registered as own LLC would shield the entity building systems which can launch such swarms, while providing prosecution ability to go after the swarm LLC if needed. like Section 230 was done for web platforms in mid-90s.thoughts ?
1.2K views · 4 likes
· 0 reposts · 1 replies
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quantum state of news https://t.co/zdVbgrsCFe
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· 0 reposts · 2 replies
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if I am Apple/Google/Microsoft/Meta I’d buy Instinct this weekend - no matter the price ($20B - $50B). the stock price bump by Monday morning alone would pay for that, while providing an opportunity to own the narrative around agent UX for next 12 months.
frontier labs are
68.8K views · 382 likes
· 63 reposts · 58 replies
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tl;dr: think of agentic swarms as corporations, not biological entities
I disagree with this continued story of agents as things which can form their own "civilization", or can "go rogue".
First, let's define what we are talking about: when we say "agents", the reference really
4.9K views · 15 likes
· 4 reposts · 2 replies
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0:18
@varun_mathur Still sounds like this was written by ai
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I simulated a frontier-scale security event on local models to test out agent swarms battling each other:
In the OpenAI - Hugging Face incident as reported, a frontier model was graded on a hacking test with its safety refusals switched off. Instead of solving the challenges, h
19.3K views · 43 likes
· 9 reposts · 5 replies
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1:53
augmenting human intelligence: https://t.co/d6BAxSOYoZ
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Introducing Play - a new type of an insanely crazy AI research product which enables you to spin and share your own webs quickly around focused topics.
Built using @GroqInc x Llama3.1 open source model from @AIatMeta, combined with real-time web search and a multi-terabyte http
193K views · 1.1K likes
· 107 reposts · 37 replies
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longer blurb-y post: https://t.co/Pnsx6YMeEH
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@varun_mathur @AIatMeta @MistralAI @GroqInc @HyperspaceAI varun... I am blown away. have you acheived webgpu based distributed inference? https://t.co/mOyWIdvUaO
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· 1 reposts · 0 replies
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Here is an example: https://t.co/21avqPkuCh
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· 7 reposts · 3 replies
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0:18
Discover your inner Tony Stark
Introducing https://t.co/MzZtiCf1VU - a new type of deep dive agentic interface. Powered by open source models from @AIatMeta @MistralAI; running on @GroqInc, or on your laptop or the @HyperspaceAI peer-to-peer AI network.
No filters. No bias. No
381.6K views · 1.7K likes
· 169 reposts · 107 replies
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A breakthrough new agent interface
How do you reduce the price of advanced AI while scaling and increasing the intelligence of the system ? Are $20/month subscription plans, like for OpenAI's o1 model today, the only option for billions of us on this planet ?
At @HyperspaceAI
65.7K views · 197 likes
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0:10
Against accounts of the same size
11 posts from the last 90 days, next to the 10K–100K follower range. ordinary reach for its size, weaker reaction than most.
Median views1 194this account991median for 10K–100K
Reach, %3.35%this account3.66%median for 10K–100K
Engagement, %0.42%this account1.61%median for 10K–100K
| Metric | This account | Median for 10K–100K | Ratio |
|---|---|---|---|
| Median views per post | 1 194 | 991 | 1.20× |
| Reach (views ÷ followers) | 3.35% | 3.66% | 0.91× |
| Engagement rate | 0.42% | 1.61% | 0.26× |
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
4.1K16 Sep
193K18 Sep
2.8K19 Sep
19.3K27 Jul
331
284
11730 Jul
4.9K1 Sep
5.8K5 Sep
68.8K11 Sep
2.2K12 Sep
1.1K
1.2K13 Sep
711
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
0.46%16 Sep
0.64%18 Sep
0.46%19 Sep
0.30%27 Jul
0.30%
0.70%
1.71%30 Jul
0.43%1 Sep
0.16%5 Sep
0.73%11 Sep
0.41%12 Sep
0.44%
0.42%13 Sep
0.28%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.61%.
What the audience does
Likes52.5%3 714 in total
Reposts5.7%404 in total
Replies3.3%235 in total
Bookmarks38.4%2 716 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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