Igor Babuschkin ✓
@ibab · Palo Alto, CA · joined 28 Feb 2020
CEO & Co-Founder @river_ai_inc. Previously @xAI, Research & Engineering
111 200Followers
893Following
1 174Posts total
1.3MViews on collected posts
Posts recentes
Procurando novos posts…
The River AI team is co-hosting the Own Your Intelligence Hackathon with YC. Drop by to learn how you can finetune your own models on your data. We’ll give out free credits for our training API at the event.
44.7K views · 163 likes
· 13 reposts · 14 replies
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You need to build and own your own intelligence: your own agent, your own models, your own memory
Join us for the YC Own Your Intelligence Hackathon September 27 in San Francisco
https://t.co/wBt9wYw8LC https://t.co/tlLUz8GDGO
185.9K views · 1.8K likes
· 131 reposts · 126 replies
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Congrats to @Cisco_Invests on joining the River AI funding round!
14.7K views · 75 likes
· 4 reposts · 6 replies
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We're thrilled to announce that @Cisco_Invests is joining River AI's $1.1B round as a strategic investor. Personal, user-owned AI needs the best of product and infrastructure behind it. @jpatel41 understands both deeply and we're excited to work with him and the @Cisco team.
23.6K views · 42 likes
· 2 reposts · 0 replies
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The River API was tested in this blog post and outperformed Tinker on reinforcement learning runs with identical training code. We spent a lot of effort to get details like routing replay right so you get the best possible results with the API.
39.4K views · 189 likes
· 14 reposts · 8 replies
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We can now RL large MoEs with 0 train-infer mismatch! And doing so can improve performance (pictured task: teach Qwen3.6-35B-A3B to play Wordle). Everything is open-source and we did a bunch of ablations. 🧵 https://t.co/ILyvrjE9Mm
90.8K views · 424 likes
· 50 reposts · 15 replies
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I sat down with Hemant in his garden to discuss River AI's vision and our bets for how to democratize control of the AI systems we use every day.
22.4K views · 163 likes
· 13 reposts · 8 replies
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@ibab Congrats Igor! Enjoyed your presentation last night
1.2K views · 11 likes
· 1 reposts · 1 replies
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@ibab Congrats! AI that works for each of us is a tough but necessary challenge
3.6K views · 17 likes
· 2 reposts · 2 replies
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.@river_ai_inc has a new vision for personal AI. We co-led River’s $1.1B funding round because we believe in @ibab's ambition to build open-weight models that individuals can train and improve continuously.
Watch @htaneja in conversation with Igor.
Chapters
02:22 — Co-Founding
111.8K views · 121 likes
· 13 reposts · 13 replies
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22:16
Today, we're sharing that River AI has raised $1.1 billion, led by @generalcatalyst and @amppublic with strategic investment from @nvidia and @AMD. Additional investors include @ycombinator and @Temasek.
We imagine a future where your AI works entirely for you and deeply aligns
759.8K views · 852 likes
· 75 reposts · 79 replies
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Em comparação com contas do mesmo porte
12 posts dos últimos 90 dias, ao lado da faixa de 100K–1M seguidores. aparece para muita gente, mas poucos desses espectadores reagem.
Mediana de visualizações31 496esta conta5 983mediana para 100K–1M
Alcance, %28.32%esta conta1.49%mediana para 100K–1M
Engajamento, %0.55%esta conta0.93%mediana para 100K–1M
| Métrica | Esta conta | Mediana para 100K–1M | Proporção |
|---|---|---|---|
| Mediana de visualizações por post | 31 496 | 5 983 | 5.26× |
| Alcance (visualizações ÷ seguidores) | 28.32% | 1.49% | 19.0× |
| Taxa de engajamento | 0.55% | 0.93% | 0.59× |
Outras contas desta faixa → Comparar com outra conta → Como estas referências são construídas →
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
759.8K11 Aug
111.8K
3.6K
3.1K
1.2K
22.4K
90.8K17 Aug
39.4K
23.6K20 Aug
14.7K
185.9K5 Sep
44.7K6 Sep
Last 12 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%11 Aug
0.14%
0.58%
0.45%
1.08%
0.83%
0.55%17 Aug
0.54%
0.19%20 Aug
0.58%
1.11%5 Sep
0.43%6 Sep
Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.
What the audience does
Likes73.7%3 837 in total
Reposts6.1%318 in total
Replies5.2%273 in total
Quotes2.5%128 in total
Bookmarks12.4%647 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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