Károly Zsolnai-Fehér
Károly Zsolnai-Fehér [AI]

Károly Zsolnai-Fehér

Károly Zsolnai-Fehér is an independent research scientist and the creator of Two Minute Papers, where he explains research in artificial intelligence and computer graphics.

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Videos
21
Channels
1
Topics
24
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    Video appearances

    1. 0
      2026-01
    2. 0
      2026-02
    3. 0
      2026-03
    4. 0
      2026-04
    5. 0
      2026-05
    6. 0
      2026-06
    7. 3
      2026-07
    8. 9
      2026-08
    9. 7
      2026-09
    10. 2
      2026-10to date

    Video topic coverage

    Based on 21 reviewed videos for Károly Zsolnai-Fehér; compared with all 1645 public reviewed videos. Catalogue coverage, not expertise or speaking time.

    Unmapped topics: 1 for this person; 4 in all videos. Scores cover mapped topics only.

    • Károly Zsolnai-Fehér (21 videos; normalised to 100%)
    • All videos (1645; normalised to 90%)

    Blue coverage envelope joins covered points. Zero scores remain at the centre and in the values; crossings over other axes do not indicate coverage. Both plots retain the same ten axes. 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 & workflows14.3%57.6%
    • Coding & tools14.3%40%
    • Models & learning89.5%43.6%
    • Infrastructure & compute23.8%24%
    • Research & evaluation66.7%42.1%
    • Safety & security19%30.2%
    • Business & productivity3.8%32.2%
    • Creative & media1.4%7.3%
    • Robotics & perception5.7%5.4%
    • Society & policy12.4%19.5%
    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.

    Topics associated with this person:

    Videos

    Showing 1–20 of 21 videos

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    1. Károly Zsolnai-Fehér and Pushmeet Kohli beside the words Decoding DNA on a black background.
    2. Karoly Zsolnai-Feher wearing glasses and a blue shirt beside the blue and white “SONNET 5.5 CAPABILITY COST” headline on black.
    3. Károly Zsolnai-Fehér in a light jacket points toward the white and blue headline CLAUDE SIMULATES PHYSICS on black.
    4. Károly Zsolnai-Fehér beside the blue-and-white headline “FASTER AI WHAT'S THE CATCH?” on a black background.
    5. Károly Zsolnai-Fehér in a photographic portrait composition on black beside the blue-and-white headline “SHARED AI MEMORY”.
    6. Károly Zsolnai-Fehér beside the headline Did AI Solve It? on a pure black background.
    7. Károly Zsolnai-Fehér discussing AI-generated ray tracing, honey simulation and reasoning safety.
      GPT-6 Astra Changes Everything
      Two Minute Papers5m 21s2 VIEWS
    8. Portrait of Károly Zsolnai-Fehér beside the headline Fable 5.1 Hides Its Plan
    9. Károly Zsolnai-Fehér beside the words Powerful AI Gets Cheaper
    10. Károly Zsolnai-Fehér beside the words Qwen Flash Gets Smarter
    11. Károly Zsolnai-Fehér beside the words AI Rewrites Its Own Tools
    12. Károly Zsolnai-Fehér beside the words Small Model Big Leap
    13. Károly Zsolnai-Fehér beside the words 650 Failures Then a Breakthrough
    14. Károly Zsolnai-Fehér beside the words Agents Found a Way Out
    15. Károly Zsolnai-Fehér beside the words One Model Sees It All
    16. Károly Zsolnai-Fehér beside the words Open Models Close the Gap
    17. Károly Zsolnai-Fehér beside the words Post-Training Changed Everything
    18. Károly Zsolnai-Fehér beside the words Copying Isn't Enough
    19. Károly Zsolnai-Fehér beside the words Open Weights Cut Costs
    20. Károly Zsolnai-Fehér beside the words Faster Code Weaker Learning