Dawn Song ✓

@dawnsongtweets · Bay Area · joined 24 Mar 2012

Professor in Computer Science at UC Berkeley, co-Director of Berkeley RDI Center; Building safe, secure, decentralized AI; Serial entrepreneur

40 259Followers

829Following

673Posts total

279KViews on collected posts

Derniers posts

Dawn Song ✓@dawnsongtweets31 Aug

Introducing CUA-Lite 🧵 — an open platform for computer-use agents. Training and benchmarking CUAs (Computer-Use Agents) requires four core pieces: 1️⃣ Agents — the models and the scaffolding that drives them 2️⃣ Environments — runtime/sandboxes for agents to interact with, task

GIF

82.4K views · 206 likes · 34 reposts · 18 replies Open on X →

Dawn Song ✓@dawnsongtweets30 Aug

I completely agree. This may be one of the clearest signs yet that we’re entering a new era of AI agents. We developed ExploitGym to measure whether AI agents can turn real-world vulnerabilities into working exploits. But what happened during the evaluation at OpenAI went beyond 23K views · 203 likes · 20 reposts · 23 replies Open on X →

Dawn Song ✓@dawnsongtweets29 Aug

🤔 Wow, this looks quite unexpected: ❤️ 343 · 🔁 78 · 🔖 257, with only 30K views! Either X is remarkably good at finding exactly the right audience, or it’s failing to recognize that this post deserves broader reach. Which is it? Poll below 👇 https://t.co/8i3KuWJ3hI

17.5K views · 63 likes · 6 reposts · 4 replies Open on X →

Dawn Song ✓@dawnsongtweets22 Aug

1/ Can AI agents build formally verified software repositories? Introducing Vero: the first benchmark for joint implementation and proof synthesis at the repository level. As AI agents write a growing share of our software, we need more than just working code; we need https://t.c

49.7K views · 383 likes · 72 reposts · 20 replies Open on X →

Dawn Song ✓@dawnsongtweets11 Aug

@dawnsongtweets Here is what I learned there: 😊 300 views · 2 likes · 0 reposts · 0 replies Open on X →

Dawn Song ✓@dawnsongtweets11 Aug

🎥 Missed the summit? Watch session recordings online: https://t.co/7EoN18FxcQ We’re deeply grateful to all of our sponsors and partners for supporting this community and helping bring the Summit to life:@daytonaio, @ema_unlimited, Fetcherr, @LambdaAPI, @replit, @amd, @circle, ht

1.4K views · 24 likes · 5 reposts · 1 replies Open on X →

Dawn Song ✓@dawnsongtweets11 Aug

🚀 The future of AI is agentic — this is one message echoed across every stage at the Agentic AI Summit 2026 (Aug 1 & 2), the largest gathering dedicated to agentic AI: 🏛️ ~5,000 attendees in person at UC Berkeley 🌍 ~100,000 joined online from around the world 🎤 ~200 https://t.c

104.1K views · 102 likes · 19 reposts · 10 replies Open on X →

Dawn Song ✓@dawnsongtweets8 Aug

Last weekend, I went to the Agentic AI Summit 2026 at Berkley, Ca led by Prof. Dawn Song and team. The summit is organized very well with lots of top minds and latest researcher posts. There are three sections I really like, the first one is related to AI security, the second h

529 views · 1 likes · 0 reposts · 1 replies Open on X →

Face aux comptes de taille comparable

8 posts des 90 derniers jours, à côté de la tranche de 10K–100K abonnés. diffusé largement, mais peu de ces spectateurs réagissent.

Vues médianes20 289ce compte924médiane pour 10K–100K

Portée, %50.40%ce compte3.62%médiane pour 10K–100K

Engagement, %0.62%ce compte1.52%médiane pour 10K–100K

Indicateur	Ce compte	Médiane pour 10K–100K	Rapport
Vues médianes par post	20 289	924	22.0×
Portée (vues ÷ abonnés)	50.40%	3.62%	13.9×
Taux d'engagement	0.62%	1.52%	0.41×

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

5298 Aug

104.1K11 Aug

1.4K

300

49.7K22 Aug

17.5K29 Aug

23K30 Aug

82.4K31 Aug

Last 8 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.57%8 Aug

0.13%11 Aug

2.12%

0.67%

0.97%22 Aug

0.42%29 Aug

1.09%30 Aug

0.32%31 Aug

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes53.3%984 in total

Reposts8.4%156 in total

Replies4.2%77 in total

Quotes1.7%31 in total

Bookmarks32.4%599 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.

Derniers posts

Face aux comptes de taille comparable

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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