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SKSéb Krier, AGI policy lead, Google DeepMind

Top 100 AI · United States

Séb Krier

Google DeepMind United States

Score
5,507+2 today
Rank
139/198 ↓6
over 90 days
+700+13.6%

Séb Krier is an AGI policy and governance specialist at Google DeepMind, focusing on artificial intelligence impacts, safety, and societal implications. His online presence centers on sharing AI research papers, critiquing AI discourse, and discussing topics like automation's effect on labor, division of labor in AI systems, and speculative future scenarios. He frequently references academic work, advocates for nuanced policy discussions, and engages with the AI research community through commentary and link-sharing.

Data as of Oct 27, 2026.

The raw numbers · last 90 days

Median views
8.5K
per post
Median engagements
175
per post
Posts
59
over 90 days
Followers
31.1K
all scored platforms

What drives the score

Percentiles 0–100 against all tracked creators.

  • Reach · 30%64

    Average views per post over 90 days

  • Engagement · 30%54

    Average reactions per post

  • Audience · 30%45

    Total followers, relative to population

  • Consistency · 10%100

    Posting frequency (25 posts / 90 days = 100)

Platforms

31.1K total followers

PlatformFollowersScore
X@sebkrier31.1K7,035t3

Last 30 days

Krier's top posts

  1. I haven't posted in a while so here are 20 takes about AI, in no particular order. 1. It's very telling that the default question in tech and journalism is "how worried are you about X" and fighting over what to worry…
    X · 22 days ago#1
    SKSéb Krier, AGI policy lead, Google DeepMindSéb Krier

    I haven't posted in a while so here are 20 takes about AI, in no particular order. 1. It's very telling that the default question in tech and journalism is "how worried are you about X" and fighting over what to worry…

    321.2K views2.3K engagements

  2. A lot of people in AI world come from a Bayesian intellectual tradition. As a result they tend to be very good model-based thinkers. Yet I often find that while they hedge and use probabilities, they rarely question t…
    X · 20 days ago#2
    SKSéb Krier, AGI policy lead, Google DeepMindSéb Krier

    A lot of people in AI world come from a Bayesian intellectual tradition. As a result they tend to be very good model-based thinkers. Yet I often find that while they hedge and use probabilities, they rarely question t…

    68.7K views1.2K engagements

  3. X · 7 days ago#3
    help i trained a model on traces of many agents cooperating, and also trained it to be highly persistent, and also only did partial alignment fine-tuning, and also aggressively RL'd on a cyberoffense eval where 198 of…
    SKSéb Krier, AGI policy lead, Google DeepMindSéb Krier

    42.7K views860 engagements

  4. New paper! Science is constrained by physical and economic bottlenecks such as hypothesis testing, especially as many discoveries involve long chains of smaller steps and hypotheses, each requiring validation. As the …
    X · 16 days ago#4
    SKSéb Krier, AGI policy lead, Google DeepMindSéb Krier

    New paper! Science is constrained by physical and economic bottlenecks such as hypothesis testing, especially as many discoveries involve long chains of smaller steps and hypotheses, each requiring validation. As the …

    31.7K views692 engagements

  5. Beautiful meal with @tylercowen and Fuschia Dunlop! https://t.co/Jcy6hEDS65
    X · 8 days ago#5
    SKSéb Krier, AGI policy lead, Google DeepMindSéb Krier

    Beautiful meal with @tylercowen and Fuschia Dunlop! https://t.co/Jcy6hEDS65

    19.7K views395 engagements

  6. X · yesterday#6
    +100! Also if you're experienced in running multi-agent simulations, familiar with reward hacking/safety literature, and econ-minded - please comment below so I can keep you mind for some future work I'm exploring. 🃏
    SKSéb Krier, AGI policy lead, Google DeepMindSéb Krier

    15.7K views319 engagements

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