Program
12 sessions
Training
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Curriculum Schedules for Trillion-Token Pretraining
September 15, 2026 09:00 · Aurora Hall
How the order you feed data in changes what a trillion-token model ends up knowing.
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Gradient Noise as a Signal: Adaptive Batch Sizing
September 15, 2026 11:00 · Cobalt Theatre
Using the geometry of gradient noise to grow the batch size on the fly.
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Data-Efficient Distillation from Mixture-of-Experts Teachers
September 16, 2026 09:00 · Aurora Hall
Compressing a sparse expert model into a dense student without losing calibration.
Inference
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Speculative Decoding Beyond Draft Models
September 15, 2026 10:00 · Room 210
Getting speculative-decoding speedups without training and hosting a separate draft model.
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KV-Cache Compression at Long Context
September 15, 2026 14:00 · Room 200
Keeping the KV cache small enough to serve 200k-token contexts affordably.
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Serving 100 Models on One GPU: Elastic Routing
September 16, 2026 10:00 · Room 210
Multiplexing a fleet of fine-tuned models on shared hardware with elastic routing.
Agents
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Planning with Verifier-Guided Tree Search
September 15, 2026 13:00 · Cobalt Theatre
Combining a learned verifier with explicit search for reliable multi-step planning.
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Tool Synthesis: Agents that Write Their Own APIs
September 16, 2026 11:00 · Room 200
Agents that author, test, and reuse their own tools instead of relying on a fixed toolset.
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Long-Horizon Credit Assignment in Multi-Agent Teams
September 16, 2026 13:00 · Cobalt Theatre
Figuring out which agent in a team deserves credit for an outcome many steps later.
Safety
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Mechanistic Auditing of Deceptive Circuits
September 15, 2026 15:00 · Room 200
Interpretability tools for finding circuits that behave differently when a model thinks it is watched.
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Scalable Oversight via Debate and Recursive Reward Models
September 16, 2026 14:00 · Aurora Hall
Supervising models on tasks where humans can no longer check the answer directly.
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Robustness Certificates for Open-Weight Deployments
September 16, 2026 15:00 · Room 210
What guarantees you can and cannot make once model weights are public.