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Richard Socher ✓

@RichardSocher · joined 20 May 2013

Building self-improving superintelligence CEO @recursive_si and @youdotcom MP @aixventuresHQ Ex: Stanford Adj Prof, Chief Scientist at Salesforce, CEO MetaMind

122 654Followers
1 160Following
5 498Posts total
645.2KViews on collected posts

Latest posts

"I found this book to be quite useful in pondering the big questions about our shared frontier." Thank you @johnkwerner for this thoughtful review of The Eureka Machine in Forbes. Out September 22. https://t.co/lEgQ2CaX60 4K views · 18 likes · 1 reposts · 2 replies Open on X →
Incredible result.. With better search the different between models becomes much much smaller! 11K views · 46 likes · 8 reposts · 6 replies Open on X →
Imagine doing your job without ever looking anything up on the internet. That's an agent without web search. Giving agents the web changed what they can do, especially on anything recent that isn't reflected in training data. But agents don't search like people, so optimizing ht 17.2K views · 45 likes · 9 reposts · 5 replies Open on X →
I have talked about this and several other laws (like taxing unrealized gains for founder shares) to Chancellors Merkel, Scholz and Merz and many others in their cabinets. Some improvements have happened in the last years but not enough ... I'll keep trying. Germany could unlock 83.8K views · 406 likes · 24 reposts · 38 replies Open on X →
If accuracy and time matters to your agent. You got it. https://t.co/oAEB2rqNch 5K views · 20 likes · 1 reposts · 2 replies Open on X →
@RichardSocher Wonderful ambition! @AndreyFradkin and I did some research on the lack of self-knowledge in particular with frontier models as a key stumbling block on the path to far better (market inspired) superintelligence. I think this is quite up Recursive's alley. https:// 479 views · 6 likes · 0 reposts · 0 replies Open on X →
and our official post https://t.co/bYWCCHBDet 7.1K views · 22 likes · 2 reposts · 1 replies Open on X →
Here's an article from the NYTimes about the launch https://t.co/PQfatHUShc 6.2K views · 29 likes · 2 reposts · 3 replies Open on X →
https://t.co/HjRCjERRGY 86.2K views · 438 likes · 57 reposts · 38 replies Open on X →
https://t.co/IPHqzO5gWl 424.2K views · 449 likes · 62 reposts · 48 replies Open on X →

Against accounts of the same size

5 posts from the last 90 days, next to the 100K–1M follower range. shown widely, but few of those viewers react.

Median views10 967this account5 983median for 100K–1M
Reach, %8.94%this account1.49%median for 100K–1M
Engagement, %0.52%this account0.93%median for 100K–1M
MetricThis accountMedian for 100K–1MRatio
Median views per post10 9675 9831.83×
Reach (views ÷ followers)8.94%1.49%6.00×
Engagement rate0.52%0.93%0.56×

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

424.2K13 May
86.2K
6.2K
7.1K
479
5K27 Aug
83.8K29 Aug
17.2K31 Aug
11K1 Sep
4K

Last 10 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.14%13 May
0.64%
0.55%
0.35%
1.25%
0.46%27 Aug
0.56%29 Aug
0.37%31 Aug
0.55%1 Sep
0.52%

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

What the audience does

Likes66.9%1 479 in total
Reposts7.5%166 in total
Replies6.5%143 in total
Quotes3.6%79 in total
Bookmarks15.6%345 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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