Worth a re-read https://
snorkel.ai/blog/snorkelin
g-in-rl-environments/
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#AgenticAI #ReinforcementLearning #LLMs #AIResearch #AIInfrastructure
@snorkelai
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Snorkeling in RL Environments: Training Agentic AI Systems
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RL Environments Critical as Agents Move to Production
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🤿 ICYMI: Agents don’t learn in the abstract — they learn by interacting with environments.
— Snorkel AI (@SnorkelAI) 12 décembre 2025
This post on RL environments is more relevant than ever as agents move into production and evaluation gets harder. pic.twitter.com/P96EfkYyBcICYMI: Agents don’t learn in the abstract — they learn by interacting with environments. This post on RL environments is more relevant than ever as agents move into production and evaluation gets harder.
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NeurIPS 2025 Breakdown: Papers, Datasets, Workshops, Environments
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Dive into the full #NeurIPS2025 breakdown — papers, datasets, workshop moments, and why environments will define 2026.
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2026: AI Environments and Agent Systems Become Core Focus
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2026 is shaping up to be the year of environments in AI.
From MCP-Bench and SEC-bench to DefenderBench and TheAgentCompany, NeurIPS 2025 made it clear: diverse, scalable environments are becoming core to agent systems, evaluation, and real-world reliability. Our #NeurIPS2025 -
Terminal-Bench 2.0: Harder Tasks and Deeper Agent Verification
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ICYMI — the Terminal-Bench creators just laid out what actually matters for agent evaluation.
— Snorkel AI (@SnorkelAI) 9 décembre 2025
Terminals > GUIs
Containers for real rollouts
TB 2.0 = harder tasks + deeper verification pic.twitter.com/zSazGyZYS2ICYMI — the Terminal-Bench creators just laid out what actually matters for agent evaluation.
Terminals > GUIs
Containers for real rollouts
TB 2.0 = harder tasks + deeper verification -
Laude Institute Launches Open Frontier Conference for Open Research
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Excited to see @LaudeInstitute announce Open Frontier — a new conference and collaboration for open research + open-source AI at the frontier. Proud to be a part this effort and excited to see all the collaborations that come out of it. https://
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NeurIPS 2025 Snorkel Whiskey Social Brings AI Researchers Together
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Last night’s Snorkel Whiskey Social at #NeurIPS2025 Great people, deep agent + eval convos, and the kind of energy you only get when researchers finally get out of the poster hall.
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Snorkel Research Team at NeurIPS 2025 Conference
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NeurIPS lunch crew → Snorkel researchers + the always-great @Walshe_tech If you’re at #NeurIPS2025, come say hi — and see everything else we’re doing this week (papers, workshops, events): https://
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Terminal-Based Agent Control and Harbor Evaluation Framework
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Key takeaways:
• terminals > GUIs for stable agent control
• task design inspired by SWE-bench, but with a more general abstraction
• eval + RL need the same “rollout” substrate, so they created Harbor
• Harbor = a unified framework for scalable parallel deployment
• TB2 is -
Terminal-Bench Team Interview Highlights Recent Chat
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ICYMI: Our chat with the Terminal-Bench team dropped recently.