Upcoming podcast guests + Jeff Dean, Chief Scientist at Google DeepMind
+ Andrew Ambrosino, Head of PM and Eng for Codex
+ Fiona Fung, Head of Eng for Claude Code/Cowork
+ Tara Seshan, Head of ChatGPT, Productivity at OpenAI
+ Dianne Penn, Head of Product, Research at Anthropic
RESEARCH
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Upcoming podcast featuring AI leaders from DeepMind, OpenAI, Anthropic
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Presentation of arXiv paper replications by auto-research agents
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Introducing paper replications for arXiv
— alphaXiv (@askalphaxiv) 17 juin 2026
Research codebases are notoriously hard to set up
We deploy autoresearch agents to ingest popular arXiv repos, resolve setup issues, and get the core claim running. You can now sort papers by ease of implementation 🚀 pic.twitter.com/Zw6DkX4ycqPresentation of paper replications for arXiv Research codebases are notoriously difficult to set up We deploy auto-research agents to ingest popular arXiv repositories, resolve configuration issues and make the
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OpenAI profitable on customers; automating AI research to cut training costs
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If the leaked financial data is right, OpenAI is profitable on serving customers with 40%+ gross margins. But training remains incredibly expensive. Automating AI research may also be a play to increase the efficiency of training: a superhuman researcher could do more with less.
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MetaFine: Diagnosing AI Robot Fine Manipulation Skills
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Why do AI robots still fumble at fine manipulation? A team from Southeast University, Monash, Xiaomi EV, University of Copenhagen, and Peking University presents MetaFine. Instead of binary pass/fail, it diagnoses skills across understanding, perception, and control. Result:
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GLM-5.2 max third best model, open source fundamental
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GLM-5.2 max is currently the third best model available, among open and proprietary options. And it's fantastic. Open source is fundamentally important and must continue to occupy a strong position so that everyone has alternatives.
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Inverse scaling: weak model gains from harness patching runtime gaps
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Exactly the inverse-scaling point. The weak model gained most because the harness patched gaps it couldn't fix on its own. Cheaper to evolve the runtime than to scale the model, and you keep the smaller footprint at inference.
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NVIDIA’s LocateAnything speeds object detection 10x by fixing coordinate bottleneck
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🚨 @NVIDIA just dropped LocateAnything, making object detection ~10x faster by fixing one core bottleneck:
— Charly Wargnier (@DataChaz) 17 juin 2026
How the model writes coordinates.
Standard AI models do visual grounding the slow way.
They predict coordinates piece by piece: Token 1, Token 2, Token 3, Token 4 etc.… pic.twitter.com/GAyr0taCbX@NVIDIA just dropped LocateAnything, making object detection ~10x faster by fixing one core bottleneck: How the model writes coordinates. Standard AI models do visual grounding the slow way. They predict coordinates piece by piece: Token 1, Token 2, Token 3, Token 4 etc.
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HarnessAudit Framework Audits LLM Agent Safety Beyond Correct Answers
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Are your LLM agents really safe even when they return the correct answer? Researchers from UCSB, UC Berkeley, Stanford, UW-Madison, and Microsoft Research introduce HarnessAudit—a framework that audits full execution trajectories for boundary compliance, resource access, and
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Kimi K2.7 Release Advances Long Context Reasoning and LLM Efficiency
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Kimi K2.7 Release: Advancing Long Context Reasoning and LLM Efficiency! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux
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A Coding Implementation on Spatial Graph Neural Networks for Urban Function Inference
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A Coding Implementation on Spatial Graph Neural Networks for Urban Function Inference Using CityGraph, OSMnx, and PyTorch Geometric! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #GeoSpatial #Mathematics #LLM #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java