Results for "NeurIPS"

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5 results

Episodes

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[NeurIPS Best Paper] 1000 Layer Networks for Self-Supervised RL — Kevin Wang et al, Princeton
Latent Space: The AI Engineer Podcast· Jan 2, 2026
From undergraduate research seminars at Princeton to winning Best Paper award at NeurIPS 2025, Kevin Wang, Ishaan Javali, Michał Bortkiewicz, Tomasz Trzcinski, Benjamin Eysenbach defied conventional wisdom by scaling rei…
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[State of RL/Reasoning] IMO/IOI Gold, OpenAI o3/GPT-5, and Cursor Composer — Ashvin Nair, Cursor
Latent Space: The AI Engineer Podcast· Dec 30, 2025
From Berkeley robotics and OpenAI's 2017 Dota-era internship to shipping RL breakthroughs on GPT-4o, o1, and o3, and now leading model development at Cursor, Ashvin Nair has done it all. We caught up with Ashvin at NeurI…
openai
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Why Vision Language Models Ignore What They See with Munawar Hayat
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)· Munawar Hayat· Dec 9, 2025
In this episode, we’re joined by Munawar Hayat, researcher at Qualcomm AI Research, to discuss a series of papers presented at NeurIPS 2025 focusing on multimodal and generative AI. We dive into the persistent challenge …
multimodalgenerative-ai
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[State of Code Evals] After SWE-bench, Code Clash & SOTA Coding Benchmarks recap — John Yang
Latent Space: The AI Engineer Podcast· Dec 31, 2025
From creating SWE-bench in a Princeton basement to shipping CodeClash, SWE-bench Multimodal, and SWE-bench Multilingual, John Yang has spent the last year and a half watching his benchmark become the de facto standard fo…
openaianthropicevalsmultimodal
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[State of Post-Training] From GPT-4.1 to 5.1: RLVR, Agent & Token Efficiency — Josh McGrath, OpenAI
Latent Space: The AI Engineer Podcast· Dec 31, 2025
From pre-training data curation to shipping GPT-4o, o1, o3, and now GPT-5 thinking and the shopping model, Josh McGrath has lived through the full arc of OpenAI's post-training evolution—from the PPO vs DPO debates of 20…
openaisafety-alignment