Lots of quotable lines in @AGSNYT
’s @NewspaperWorld speech: “Talent, compute, energy and data are all essential to the success of A.I. and, therefore, to the success of the tech giants. The first three are paid for because — of course they are. No tech C.E.O. would dare suggest
BIG TECH
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Quotable lines from speech on AI success factors
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Ethan’s deep dive on xAI’s SOTA video world model training
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This pod was an incredible gift to the community:
— swyx (@swyx) 1 juin 2026
not only our first pod about @xAI, but Ethan really indulged on all our questions on how to train a SOTA Videogen world model, including specific areas (consistent extending/editing, voice) that Grok @Imagine is *still* SOTA,… https://t.co/purQe9Ja81 pic.twitter.com/Sl4AqAt7RAThis pod was an incredible gift to the community: not only our first pod about @xAI
, but Ethan really indulged on all our questions on how to train a SOTA Videogen world model, including specific areas (consistent extending/editing, voice) that Grok @Imagine is *still* SOTA, -
DellTechWorld 2026: H2O.ai CEO and Dell CTO discuss AI scaling, governance, cost
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At #DellTechWorld 2026, http://
H2O.ai Founder & CEO @srisatish joined @DellTech
' CTO Satish Iyer and @theCUBEto discuss what it takes to operationalize AI at scale — from infrastructure and governance to cost control, sovereignty, and real-world business outcomes. -
Microsoft’s Open-Source AI Tool Makes BI Obsolete, Eliminating Expensive Seats and Steep Learning Curves
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Microsoft made BI tools obsolete with one open-source AI visualization tool.
— AlphaSignal AI (@AlphaSignalAI) 1 juin 2026
Most analytics tools lock you into expensive seats and steep learning curves.
Charts require SQL, transformations require code, dashboards require a specialist.
Microsoft Research just open-sourced… pic.twitter.com/UIvqfVYBpqMicrosoft made BI tools obsolete with one open-source AI visualization tool. Most analytics tools lock you into expensive seats and steep learning curves. Charts require SQL, transformations require code, dashboards require a specialist. Microsoft Research just open-sourced
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AI in 1997: As Big as Internet or Mobile, Still Early
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My biggest takeaways from @benedictevans
: 1. We’re in 1997 for AI—it’s as big a deal as the internet or mobile, and only as big a deal as the internet or mobile. We’re at the stage where most stuff kind of doesn’t work yet, most of what people will build hasn’t been built, and -
NVIDIA Launches Cosmos Coalition for Open World Models
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7/ NVIDIA also launched the Cosmos Coalition – with Black Forest Labs, Runway, Skild AI, Agile Robots, LTX and Generalist – to push open world models forward together. The bet: world models are becoming the intelligence layer for robots and AVs, and NVIDIA wants the open
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NVIDIA announces Nemotron 3 Ultra, 550B open-weight model
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NVIDIA announced an upcoming release of Nemotron 3 Ultra later this week, a 550B-parameter open-weight model.
— 🚨 AI News | TestingCatalog (@testingcatalog) 1 juin 2026
According to Artificial Analysis, it is positioned as the most intelligent open-weight model from the US lab.
Soon 👀 https://t.co/rSWH9n9oIh pic.twitter.com/8XiWwDRwJzNVIDIA announced an upcoming release of Nemotron 3 Ultra later this week, a 550B-parameter open-weight model. According to Artificial Analysis, it is positioned as the most intelligent open-weight model from the US lab. Soon
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Uber exhausts 2026 AI budget in four months after Claude Code rollout
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Uber burned through its entire 2026 AI budget by mid-April. Four months. Gone. In December, Uber rolled out Claude Code to roughly 5,000 engineers. Internal adoption took off so fast that the company set up a leaderboard ranking teams by total AI tool usage. Per-engineer API
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GPU Crisis: Jensen Huang Responds to Global Concern
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Entire world: THE GPU SHORTAGE IS BECOMING A GLOBAL CRISIS.
— Charly Wargnier (@DataChaz) 1 juin 2026
Jensen Huang:pic.twitter.com/4gOnSXNsj0Entire world: THE GPU SHORTAGE IS BECOMING A GLOBAL CRISIS. Jensen Huang:
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NVIDIA accelerates bounding box detection 10x by removing mandatory token prediction
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🚨 NVIDIA just pulled off something crazy: making bounding box detection 10x faster by ripping out the exact step the entire industry assumed was mandatory ↓
— Charly Wargnier (@DataChaz) 1 juin 2026
Every VLM grounding model treats boxes like sentences, predicting them token by token. It’s inherently slow.
Enter… pic.twitter.com/OE7fxZFF4VNVIDIA just pulled off something crazy: making bounding box detection 10x faster by ripping out the exact step the entire industry assumed was mandatory ↓ Every VLM grounding model treats boxes like sentences, predicting them token by token. It’s inherently slow. Enter