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Скачать или смотреть Open Frontier AI with Andy Konwinski @ NeurIPS 2025 - Agents, AI Training Stacks, + What Comes Next

  • Laude Institute
  • 2025-12-15
  • 232
Open Frontier AI with Andy Konwinski @ NeurIPS 2025 - Agents, AI Training Stacks, + What Comes Next
andy konwinskineuripsneurips 2025
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Описание к видео Open Frontier AI with Andy Konwinski @ NeurIPS 2025 - Agents, AI Training Stacks, + What Comes Next

Day 3 brings the demos all the way up the stack, from agent optimization and training infrastructure to fully open model development, and closes with Laude's Open Frontier announcement with Andy Konwinski.

Recorded live at Laude Lounge during NeurIPS, this session features six projects working across pre-training, post-training, agents, reinforcement learning, and open model workflows, all with a shared goal: making advanced AI systems buildable, inspectable, and improvable in the open.

Featured demos:

DSPy — Programmatic LLM systems, prompt + weight optimization, and compiler-style abstractions for reliable AI software.
OpenThoughts — An open data and training pipeline for agentic models, from SFT and RL to end-to-end evaluation.
GEPA — A highly sample-efficient evolutionary optimizer that learns from rich textual feedback, not just scalar rewards.
Harbor — Scalable sandboxed environments for agent rollouts, evaluation, and post-training in the cloud.
SkyRL — A modular RL training stack designed for long-horizon, multi-turn agent workloads across heterogeneous hardware.
OLMo 3 — Fully open model flows, releasing not just weights but the entire training lifecycle.
Marin — An open-source LLM project exposing its development process in real time, enabling community contribution at every stage.
The session closes with a call to action: AI’s next phase can’t be built behind closed doors. Open research, open weights, and open collaboration are how we move the frontier forward, together.

X: https://x.com/LaudeInstitute
LinkedIn:   / laude-institute  

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0:00 — Andy: The Open Frontier AI Stack
2:06 — DSPy Demo: Engineering Reliable AI Systems
10:52 — OpenThoughts Agent Demo: Open Data Pipeline for Training Agents
18:59 — GEPA Demo: Reflective Evolution for Compound AI Systems
36:33 — Harbor Demo: Agent Evaluation Environments at Scale
44:02 — SkyRL Demo: Modular RL Infrastructure for Agents
52:58 — OLMo 3 Demo: Releasing the Full Model Flow
1:08:12 — Marin Demo: Building Models in Public
1:11:34 — Closing: Open Frontier Announcement
---

Hosted by Andy Konwinski
Creative Producer - Mike Maley
Production Manager - Lauren Lukow
Videographer - Andrew James Benson
Assistant Camera - Bradley Smith
Senior Video Editor / Graphics - Cai Lee
Editors - Jordan Calig, Juan Diego Parra
Audio Editor - Carter Wogahn
Produced by K. Tighe, Kayleigh Karutis, and Chris Rytting.
Produced by Laude in partnership with Pod People.

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Tyler Griggs, SkyRL https://x.com/tyler_griggs_
Hanna Hajishirzi, OLMo 3 https://x.com/HannaHajishirzi
Kaiyue Wen, Marin https://x.com/wen_kaiyue
Michael Ryan, DSPy   / michael-ryan-207  
Etash Guha, OpenThoughts https://x.com/etash_guha
Negin Raoof, OpenThoughts https://x.com/NeginRaoof_
Ben Feuer, OpenThoughts   / benjaminfeuer  
Ryan Marten, OpenThoughts   / ryan-marten  
Lakshya Agrawal, GEPA https://x.com/LakshyAAAgrawal

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#artificialintelligence #opensource #airesearch #machinelearning #airesearch #ai #computerscience #OpenAI #OpenSourceAI #AIResearch #NeurIPS #LLMs #AIInfrastructure #AIEngineering #Agents #OpenScience #openfrontier #AgenticAI #ReinforcementLearning #modeltraining

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