Max Ryabinin
Max Ryabinin is a Together AI research leader working on efficient deep learning and model training infrastructure. His research includes decentralized deep learning and long-context transformer training.
- Videos
- 1
- Channels
- 1
- Topics
- 3
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Video topic coverage
Based on 1 reviewed video for Max Ryabinin; compared with all 3058 public reviewed videos. Catalogue coverage, not expertise or speaking time.
Unmapped topics: 1 for this person; 23 in all videos. Scores cover mapped topics only.
- Max Ryabinin (1 video; normalised to 100%)
- All videos (3058; 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 & workflows0%56%
- Coding & tools0%39%
- Models & learning0%36.7%
- Infrastructure & compute100%21.5%
- Research & evaluation100%38.2%
- Safety & security0%28.5%
- Business & productivity0%26%
- Creative & media0%6.5%
- Robotics & perception0%5.2%
- Society & policy0%16.7%
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:
- AI Research: Research & evaluation: 100%
- GPU Computing: Infrastructure & compute: 100%
- Model Optimization: Not yet mapped
Videos with Max Ryabinin
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Max Ryabinin is a Together AI research leader working on efficient deep learning and model training infrastructure. His research includes decentralized deep learning and long-context transformer training.