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Sriram Krishnan ✓

@sriramk · joined 22 Dec 2006

https://t.co/VIQU0kwDs9

314 068Followers
3 773Following
923Posts total
4.2MViews on collected posts

Derniers posts

very good moment for American open source. Also big shout out to @ClementDelangue and team for persisting and building something over many trials and tribulations. 24.5K views · 206 likes · 13 reposts · 10 replies Open on X →
talking to a few ai safety / alignment organizations and find broadly they are not sure what to make of the data center protests - also it’s not something that has shown up in any timelines or predictions. I see a split between A) “we probably need data centers in US than in 33.4K views · 181 likes · 11 reposts · 25 replies Open on X →
great momentum from @finkd and @alexandr_wang. particularly excited by their upcoming open weights launch - we need more American open weight models at the frontier. 18K views · 350 likes · 11 reposts · 16 replies Open on X →
@sriramk Devin is a cloud agent, each session has it's own machine (or computer), and we've been focused on solving this problem since early 2024, so the cloud agents are extremely mature. Devin also supports macOS cloud agents via @namespacelabs! You can run them infinitely, 4.6K views · 54 likes · 3 reposts · 5 replies Open on X →
@sriramk both ChatGPT and Claude have really terrible UX for this — half the time I can't even tell what's running where, and am often annoyed to find i can't access a thread from my phone 13.5K views · 48 likes · 2 reposts · 2 replies Open on X →
@sriramk Just use Grok Bot & Cursor cloud agents you will have a great experience 721 views · 18 likes · 1 reposts · 4 replies Open on X →
one real issue I have with various agents now is "where is this code going to run" - does it need access to my local filesystem - can I fire it off from my phone and if so does it run on the cloud or needs my Mac mini fired up / synced? The current UX metaphors around this seem 3.9M views · 402 likes · 33 reposts · 109 replies Open on X →
@sriramk If you had asked me in 1990 to describe what the world of 2015 would look like after the widespread adoption of the Internet, I would’ve been unable to do so, even though I understood the technology extremely well and had been using it for years at that point. 1.4K views · 34 likes · 0 reposts · 2 replies Open on X →
@sriramk I think it's partly because it's much more difficult to come up with gains that are vague and unknown vs. losses of things that we have and are concrete. This quote from Orwell about utopias is apt: https://t.co/BpH5f0nwTW 7.6K views · 109 likes · 10 reposts · 3 replies Open on X →
@sriramk The current path does not have a positive outcome. We will not get the positive outcome by blindly running into the fog. We need time to make the necessary scientific breakthroughs to build superhumanly powerful minds that won't make us extinct. 1.8K views · 53 likes · 1 reposts · 0 replies Open on X →
Something to think about : what does life look like 25 years from now if AI continues to improve. I don’t think any AI community ( broad tech industry , academia , various timelines predictions) have done a great job articulating a positive long term future for humanity and 196.7K views · 805 likes · 60 reposts · 147 replies Open on X →

Face aux comptes de taille comparable

7 posts des 90 derniers jours, à côté de la tranche de 100K–1M abonnés. diffusé à plus de monde que les comptes de taille comparable.

Vues médianes17 972ce compte5 983médiane pour 100K–1M
Portée, %5.72%ce compte1.49%médiane pour 100K–1M
Engagement, %0.93%ce compte0.93%médiane pour 100K–1M
IndicateurCe compteMédiane pour 100K–1MRapport
Vues médianes par post17 9725 9833.00×
Portée (vues ÷ abonnés)5.72%1.49%3.84×
Taux d'engagement0.93%0.93%1.01×

Autres comptes de cette tranche →   Comparer avec un autre compte →   Comment ces repères sont établis →

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

196.7K20 May
1.8K
7.6K21 May
1.4K
3.9M1 Sep
721
13.5K
4.6K2 Sep
18K
33.4K3 Sep
24.5K

Last 11 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.53%20 May
3.08%
1.61%21 May
2.50%
0.01%1 Sep
3.19%
0.39%
1.37%2 Sep
2.10%
0.66%3 Sep
0.93%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.

What the audience does

Likes70.2%2 260 in total
Reposts4.5%145 in total
Replies10.0%323 in total
Quotes2.2%70 in total
Bookmarks13.1%421 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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