Jacob Steinhardt
@JacobSteinhardt · joined 16 Dec 2011
Associate Professor of Statistics and EECS, UC Berkeley // Co-founder and CEO, @TransluceAI
12 625Followers
81Following
510Posts total
609.2KViews on collected posts
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Come join the operations team at Transluce! This is a great way to have impact with a fast-growing team full of awesome people.
6.7K views · 32 likes
· 2 reposts · 3 replies
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Transluce is growing fast (20 to 40+ in the next year), and we’re hiring an Operations Generalist to help us scale! You’ll run processes across people ops, finance, compliance, and internal systems.
If you’re energized by running the systems that let our technical team focus on
14.9K views · 70 likes
· 8 reposts · 0 replies
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We are expanding our team to scale up our vision of end-to-end oversight assistants! Do you:
* Want to understand AI systems?
* Like training large models?
* Enjoy learning with teammates who are curious and earnest?
Then apply to join @TransluceAI ! https://t.co/JxqhEkwD3p
40.6K views · 179 likes
· 21 reposts · 2 replies
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New blog post:"Building Technology to Drive AI Governance". I argue that many governance challenges are fundamentally bottlenecked by technical gaps, and consider case studies from other fields (food safety, climate change) that illustrate this dynamic. https://t.co/cRgTVXfyPX
16.5K views · 123 likes
· 29 reposts · 4 replies
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New blog post out: a position piece on "Turning Compute into Understanding", by training superhuman oversight assistants. https://t.co/cDSHAgiyeR
43.7K views · 241 likes
· 36 reposts · 5 replies
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@JacobSteinhardt @TransluceAI @cogconfluence 😀
50 views · 0 likes
· 0 reposts · 0 replies
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We were helped by many fantastic collaborators, including @vvhuang_ , @_ddjohnson , @percyliang , and @tatsu_hashimoto , and kept organized and productive by our extremely competent chief of staff @tzeng_tiffany .
1K views · 5 likes
· 0 reposts · 1 replies
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Now that our initial tech is out, we're continuing the work of building work-class, public tools for understanding AI systems. We dream big, combining ambitious conceptual ideas with scalable engineering. If you want to help, check out our team page: https://t.co/gNzbKbysII
963 views · 7 likes
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Monitor was built on top of @damichoi95's database of high-quality neuron descriptions, which showed just how far you can push the quality of neuron descriptions with automated methods (and I think there's still room at the top): https://t.co/Kj1Ew5v604
595 views · 3 likes
· 0 reposts · 1 replies
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In parallel, @XiangLisaLi2 and @ChowdhuryNeil trained AI agents to help investigate language model behaviors, surfacing patterns of jailbreaks, hallucinations, and other interesting behaviors. https://t.co/iR1JgBBWEI
510 views · 2 likes
· 0 reposts · 1 replies
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In July, I went on leave from UC Berkeley to found @TransluceAI, together with Sarah Schwettmann (@cogconfluence). Now, our work is finally public.
56.8K views · 365 likes
· 19 reposts · 9 replies
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It's only been a few months, but I'm so excited about the tech that we've already built. First, @mengk20 led an amazing effort to build Monitor, the best interface for interpreting language models that I've played with to date. https://t.co/T5xbyXk8V3
754 views · 5 likes
· 0 reposts · 1 replies
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Excited to finally share what I’ve been up to at @TransluceAI: training Investigator Agents to elicit behaviors in LMs (including harmful responses and hallucinations)!
29.5K views · 94 likes
· 12 reposts · 1 replies
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How do we explain the activation patterns of neurons in language models like Llama?
I'm excited to share work that we did at @TransluceAI to inexpensively generate high-quality neuron descriptions at scale! https://t.co/vFmGOtXOol
21.2K views · 131 likes
· 26 reposts · 2 replies
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why do language models think 9.11 > 9.9?
at @transluceAI we stumbled upon a surprisingly simple explanation - and a bugfix that doesn't use any re-training or prompting.
turns out, it's about months, dates, September 11th, and... the Bible? https://t.co/8gzm89FJ0K
375.4K views · 1.2K likes
· 146 reposts · 68 replies
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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
21.2K23 Oct
29.5K24 Oct
754
56.8K
510
595
963
1K
5025 Jul
43.7K6 Jan
16.5K18 Feb
40.6K22 Jun
14.9K2 Jul
6.7K4 Jul
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
0.76%23 Oct
0.37%24 Oct
0.80%
0.69%
0.59%
0.67%
0.73%
0.58%
0.00%25 Jul
0.65%6 Jan
0.96%18 Feb
0.50%22 Jun
0.54%2 Jul
0.55%4 Jul
Reactions — likes, reposts, replies and quotes — divided by views.
What the audience does
Likes72.0%2 458 in total
Reposts8.8%299 in total
Replies2.9%98 in total
Quotes2.5%84 in total
Bookmarks13.9%474 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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Frequently asked questions about @JacobSteinhardt
How many followers does @JacobSteinhardt have?
12 625 followers.
How many posts has @JacobSteinhardt published?
510 posts.
How do posts by @JacobSteinhardt perform?
Collected posts: 15. Views: 609 204. Likes: 2 458.