MLOps.community Distilling 200+ Hours of NeurIPS: What’s Next for AI // Nikolaos Vasiloglou // #336
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Aug 27, 2025 Nikolaos Vasiloglou, VP of Research-ML at RelationalAI, dives into insights from over 200 hours of discussions at NeurIPS. He emphasizes the evolution of AI, particularly in language models and generative AI. Nikolaos discusses challenges in utilizing deep learning for tabular data and the role of knowledge graphs in enhancing AI processes. He also explores how AI could eventually automate research synthesis, making real-time conference summaries a reality. Tune in for a peek into the future of AI research and its practical applications!
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Becoming A Human Language Model
- Nikolaos has been distilling huge conferences into summaries for years and tries to
Human Curation Still Scales Faster Than Alone
- Distilling NeurIPS required selective human curation across thousands of papers and videos.
- Nikolaos warns next year he'll need LLM help to scale this synthesis in real time.
Language Models Dominate The Field
- Language models dominate the conference buzz and are becoming ubiquitous across research tracks.
- Open-source models gained momentum because researchers shared checkpoints and data for reproducibility.