• A chess enthusiast - 2585 Elo @Chesscom)
• Developed the first language model at Google DeepMind capable of playing the game at near super-human level (3200 Elo).
More on Game Arena and the upcoming chess matchups:
🔗 www.kaggle.com/blog/introdu...
Excited to see more AI evaluations move in this direction.
More on Game Arena and the upcoming chess matchups:
🔗 www.kaggle.com/blog/introdu...
Excited to see more AI evaluations move in this direction.
3. Resistance to benchmark saturation—many games remain unsolved by brute force or memorization
4. Strong emphasis on high-level behaviors: planning, reasoning, memory, adaptation, even deception
3. Resistance to benchmark saturation—many games remain unsolved by brute force or memorization
4. Strong emphasis on high-level behaviors: planning, reasoning, memory, adaptation, even deception
1. Direct comparisons across a range of strategic games
2. Streamed, replayable matches that improve transparency and reproducibility
1. Direct comparisons across a range of strategic games
2. Streamed, replayable matches that improve transparency and reproducibility
• The innovative search strategies we developed
• The implications of LLMs in strategic domains
• Q&A and networking with fellow AI enthusiasts
🗓️ 20th Feb 2025, 18:00-20:00
📍 Zürich, OAT ETH Zurich (14th floor)
🔗 www.zurichai.ch
• The innovative search strategies we developed
• The implications of LLMs in strategic domains
• Q&A and networking with fellow AI enthusiasts
🗓️ 20th Feb 2025, 18:00-20:00
📍 Zürich, OAT ETH Zurich (14th floor)
🔗 www.zurichai.ch