01
Open-weight models
Release-by-release analysis of what open weights can now do, licensing reality, and where the gap with closed frontier models actually sits.
December 1–2, 2026 · CNIF Forest, Paris · Part of FOST Paris
GenerationAI Conf : The "NeurIPS" for AI engineers.
Generation AI puts researchers from state-of-the-art model labs and frontier AI teams directly in front of 2000+ AI engineers, researchers and founders — for two days of results, not roadmaps.
2
days
40+
talks & labs
2000+
attendees
08
research tracks
Conference theme
Open weight models vs Frontier Model : defining the future of API
The next decade of AI infrastructure will be shaped by a single architectural bet: will applications call closed frontier APIs, or will they run open-weight models behind their own endpoints? Generation AI 2026 puts that question at the center — across every track, every talk, and every hallway conversation.
open weights · benchmarks · training · inference · agent experience · loop engineering · harness engineering · evals · MCP · open weights · benchmarks · training · inference
Who is in the room
Built for people who ship models into production.
- AI engineers
- AI researchers
- AI-native founders
- AI tech decision makers
No vendor keynotes, no sponsored fireside chats. Every session is presented by the team that produced the result, with the methodology on the slide.
Research tracks
The latest results across the whole agent stack.
02
Benchmarks & evals
Contamination, saturation, agentic task suites, and how to build internal evals that survive a model swap.
03
Training & post-training
Pretraining data curation, RL from execution feedback, distillation, and fine-tuning that still pays for itself.
04
Inference
Serving economics, KV cache strategy, speculative decoding, and latency budgets for multi-step agents.
05
Agent experience
The human surface of autonomous work: approvals, interruption, legibility, and trust calibration.
06
Loop & harness engineering
Control flow, retries, context compaction, sandboxing and tool design for long-running agent loops.
07
MCP & interop
Model Context Protocol servers in production: capability negotiation, auth, and the emerging tool ecosystem.
08
AI infrastructure & systems
Production pipelines, observability, cost governance, and the platform work that lets agent teams move fast without breaking the budget.
First wave
Speakers
Dr. Yuki Tanaka
Research Lead, Post-training · Frontier Labs
Training
Amara Osei
Head of Open Weights · Mistral-scale collective
Open Weights
Lars Møller
Principal Engineer, Inference · Tensor Runtime Co.
Inference
Priya Raghunathan
Agent Experience Lead · Harness Systems
Agent Experience
Tomás Iglesias
Founder · Loopwork
Loop Engineering
December 1–2, 2026 · CNIF Forest, Paris