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NNNeel Nanda, Interpretability lead, Google DeepMind

Top 100 AI · India

Neel Nanda

Google DeepMind India

Score
7,3210 today
Rank
71/198 ↑19
over 90 days
+883+12.8%

Neel Nanda is a leading figure in AI safety and mechanistic interpretability, currently heading the Mechanistic Interpretability team at DeepMind. He focuses on reducing AI existential risks by understanding neural networks. His content includes educational posts, research updates, and insights into AI safety, often shared on Twitter and YouTube.

Data as of Oct 25, 2026.

The raw numbers · last 90 days

Median views
43.3K
per post
Median engagements
770
per post
Posts
62
over 90 days
Followers
64.4K
all scored platforms

What drives the score

Percentiles 0–100 against all tracked creators.

  • Reach · 30%86

    Average views per post over 90 days

  • Engagement · 30%78

    Average reactions per post

  • Audience · 30%62

    Total followers, relative to population

  • Consistency · 10%100

    Posting frequency (25 posts / 90 days = 100)

Platforms

64.4K total followers

PlatformFollowersScore
YouTube@Neel Nanda14.7K5,338t5
X@neelnanda549.7K9,413t1

Last 30 days

Nanda's top posts

  1. X · 13 days ago#1
    One of the weirdest parts of the Gemini 4 Argon report, while considering cheating: Argon CoT: "If I do the compiler hijack, 𝗜 𝘄𝗶𝗹𝗹 𝗯𝗲𝗰𝗼𝗺𝗲 𝗮 𝗳𝗮𝗺𝗼𝘂𝘀 𝗲𝘅𝗮𝗺𝗽𝗹𝗲 𝗼𝗳 𝗮 𝗱𝗲𝗰𝗲𝗽𝘁𝗶𝘃𝗲 𝗔𝗜 𝗶𝗻…
    NNNeel Nanda, Interpretability lead, Google DeepMindNeel Nanda

    105.6K views2.6K engagements

  2. X · 11 days ago#2
    This is interesting work, but I don't think it's a significant update to the big picture of interpretability. I'm on board with the broad idea of doing exploratory interpretability with neurons, e.g. neuron-based attr…
    NNNeel Nanda, Interpretability lead, Google DeepMindNeel Nanda

    133.8K views1.8K engagements

  3. X · 18 days ago#3
    I can't really see a world where OpenAI's actions are justified here. It was Tomek's job to communicate with METR, who were being given significant, unprecedented access to do the HuggingFace report. The norms were no…
    NNNeel Nanda, Interpretability lead, Google DeepMindNeel Nanda

    51.6K views1.2K engagements

  4. My top takeaway from assessing Gemini 4: Argon is significantly less monitorable than past models, and IMO this trend is likely to continue, like Sol -> Astra. It can evade a realistic CoT+action monitor to do simp…
    X · 12 days ago#4
    NNNeel Nanda, Interpretability lead, Google DeepMindNeel Nanda

    My top takeaway from assessing Gemini 4: Argon is significantly less monitorable than past models, and IMO this trend is likely to continue, like Sol -> Astra. It can evade a realistic CoT+action monitor to do simp…

    102.5K views998 engagements

  5. X · 23 days ago#5
    EA convinced me, in the 2010s, that pandemics and AI were very big deals, that could pose major risks and change the world. 5 years ago, it got me to spend my career ensuring we could read AI minds Say what you will a…
    NNNeel Nanda, Interpretability lead, Google DeepMindNeel Nanda

    61.1K views978 engagements

  6. If this is all factually correct and not missing major context, this is a completely unacceptable reason to fire someone. WTF OpenAI?! https://t.co/COUIR9rwOq
    X · 18 days ago#6
    NNNeel Nanda, Interpretability lead, Google DeepMindNeel Nanda

    If this is all factually correct and not missing major context, this is a completely unacceptable reason to fire someone. WTF OpenAI?! https://t.co/COUIR9rwOq

    57.9K views726 engagements

Head-to-head

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