Head-and-shoulders portrait of Alexander Panfilov against a black background.
Alexander Panfilov [AI]

Alexander Panfilov

Alexander Panfilov is a doctoral researcher at the ELLIS Institute Tübingen and Max Planck Institute for Intelligent Systems working on AI safety, adversarial machine learning and LLM red teaming.

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    Video topic coverage

    Based on 1 reviewed video for Alexander Panfilov; compared with all 2693 public reviewed videos. Catalogue coverage, not expertise or speaking time.

    Unmapped topics: 0 for this person; 13 in all videos. Scores cover mapped topics only.

    • Alexander Panfilov (1 video; normalised to 100%)
    • All videos (2693; normalised to 90%)

    Both plots connect neighbouring topic values in the same ten-axis order, including zeros at the centre. The blue person plot is proportionally normalised to a 100% maximum and the white baseline to 90%. Each plot uses its own scale, showing relative topic emphasis; the values below show actual coverage.

    • Agents & workflows100%56.8%
    • Coding & tools0%38.9%
    • Models & learning0%37.7%
    • Infrastructure & compute0%22.2%
    • Research & evaluation0%39%
    • Safety & security100%29.3%
    • Business & productivity0%27.4%
    • Creative & media0%7%
    • Robotics & perception0%5.5%
    • Society & policy0%17.4%
    Topic attribution

    Both datasets use the same explicit fractional topic memberships. For each video, only the strongest membership in each group counts. We average those values across distinct public reviewed videos, including untagged videos. The all-video baseline includes this person's videos. Both datasets come from the same active catalogue snapshot and are independent of filters and viewing history. Groups overlap, so percentages do not need to total 100. Weights describe topic membership, not measured speaking time or relationship confidence.

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    Alexander Panfilov is a doctoral researcher at the ELLIS Institute Tübingen and Max Planck Institute for Intelligent Systems working on AI safety, adversarial machine learning and LLM red teaming.

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