daVinci-Dev: Agent-native Mid-training for Software Engineering Zeng et al.: https://
arxiv.org/abs/2601.18418 #ArtificialIntelligence #DeepLearning #MachineLearning
MACHINE LEARNING
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daVinci-Dev: Agent-Native Mid-Training for Software Engineering
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DreamerV2: Mastering Atari with Discrete World Models
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#PaperADay 14
2022: MASTERING ATARI WITH DISCRETE WORLD MODELS
(DreamerV2) https://danijar.com/project/dreamerv2/
… https://arxiv.org/pdf/2010.02193 DreamerV1 was mostly targeted at continuous control tasks, but it also demonstrated basic playing of Atari games and DMLab tasks. DreamerV2 improved the -
RLHF: OpenAI’s Human Feedback Training Method Explained
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Ils ont été pendant longtemps le labo d'openai, le Reinforcement Learning Human Feedback, c'était la notation qu'on nous demandais à chaque reponse
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Wisconsin CS Team Benchmarks Accepted to ICLR 2026
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Great to see benchmarks like this! Congrats to @wisconsinCS on this work and the authors on #ICLR2026 acceptance: @jiayuwang111 @ming5_alvin @DulepetRiya @LSearch123
, Austin Xu, @KeZixuan @fredsala @awsTO @CaimingXiong @JotyShafiq Always great partnering across academia and -
ManipulationNet: Cable Routing Benchmark for Robotics Research
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Help measure progress in robotics research: a specific & verifiable physical benchmark for cable routing, part of a broader ManipulationNet effort by Kaiyu Hang (Rice U) and Kenny Kimble (NIST) and others from MIT, Berkeley, CMU, Columbia, UT, Tsinghua…https://t.co/srdu31HXhv pic.twitter.com/O2et7Mc99I
— Ken Goldberg (@Ken_Goldberg) 29 janvier 2026Help measure progress in robotics research: a specific & verifiable physical benchmark for cable routing, part of a broader ManipulationNet effort by Kaiyu Hang (Rice U) and Kenny Kimble (NIST) and others from MIT, Berkeley, CMU, Columbia, UT, Tsinghua… https://
manipulation-net.org/tasks/cable_ro
uting.html
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AI transforms military training through intelligent simulation systems
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AI in the loop: Transforming military training and system design through smarter simulation
#AI #AIio #AIInnovation #ML #DataScience #Futureofwork @HaroldSinnott @fogoros @iainljbrown @NandoDF @katecrawford @drhassanrashidi @YuHelenYu -
GoodAIList: Track 14K Open Source AI Repos Daily
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I built GoodAIList.com to help me stay-up-date with new AI stuff. It's tracking 14K open source repos so far, with contributions from over 145K developers. Every day, it: – searches for new AI repos (based on 123 keywords and topics) – surfaces repos that are gaining traction, and – categorizes each repo The annotations are done by AI so they are not super accurate, but they've helped me find some useful stuff. It also lets me see where the contributors are, so when I travel, I can find folks doing cool stuff in a new city or country.
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alphaXiv Evolution: GitHub for AI Research Platform
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Really enjoyed chatting with @swyx on the @latentspacepod at NeurIPS! Walked through our origin story, evolution from comments towards deep research and ML sandbox environments, and vision for the future of alphaXiv as the GitHub for AI research Check out the podcast below!
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Company makes AI for cameras, says Scobleizer
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They make AI for cameras from what I have been able to figure out
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Robots Learn Spatial Intelligence in 3D/4D Environments
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The dream of robots helping people live and work better in the physical world begins with helping robots to become more spatially intelligent by learning from the infinitely diverse and intricate environments of the 3D/4D worlds 🤖🤩 https://t.co/AsZ77Pj4Ei
— Fei-Fei Li (@drfeifei) 29 janvier 2026The dream of robots helping people live and work better in the physical world begins with helping robots to become more spatially intelligent by learning from the infinitely diverse and intricate environments of the 3D/4D worlds