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
INNOVATION
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Upcoming podcast featuring AI leaders from DeepMind, OpenAI, Anthropic
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Databricks Co-Founder Demos Omnigent Open Meta-Harness for AI Agents
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Databricks co-founder and CTO @matei_zaharia demos Omnigent, a meta-harness to combine, control, and share your agents. “AI needs a layer to work above the harness and the meta harness layer will benefit from being open.”
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SRAM+HBM Hybrid with sub-1µs latency for parallel MoE decoding
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2/ Presented as the first true hybrid. Lots of on-chip SRAM (like Groq) combined with HBM (Nvidia). They claim their chip-to-chip fabric has super low latency (
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Prototype vs Product: The Gap in Vibe-Coded Apps
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Because a prototype isn't a product. No real data access. No auth. No way to share it safely. Retool surveyed 307 CTOs/CISOs: 93% worry about vibe-coded apps in production. Only 8% call their AI governance "strong." The gap between "look what I made" and "here, use it" is the
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AI rapid prototyping leads to UI dead end
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I prototyped this the way everyone builds now: described the app in a paragraph, let AI generate it.
— Linus ✦ Ekenstam (@LinusEkenstam) 17 juin 2026
10 minutes in, I had a working UI.
And that's exactly where most AI-built apps die. pic.twitter.com/S54KVXQ41ZI prototyped this the way everyone builds now: described the app in a paragraph, let AI generate it. 10 minutes in, I had a working UI. And that's exactly where most AI-built apps die.
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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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Indian AI startups showcase global innovations at VivaTech 2026
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What does AI innovation from India look like on the global stage?
— IndiaAI (@OfficialINDIAai) 17 juin 2026
At @VivaTech 2026, founders from Flaunt, InLustro and Daten & Wissen share how they are building AI solutions in trend intelligence, workforce readiness and enterprise computer vision—and taking them to the world… pic.twitter.com/xISma4lx5UWhat does AI innovation from India look like on the global stage? At @VivaTech 2026, founders from Flaunt, InLustro and Daten & Wissen share how they are building AI solutions in trend intelligence, workforce readiness and enterprise computer vision—and taking them to the world
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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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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