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
COMPUTING
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Quotable lines from speech on AI success factors
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Who will bring order to AI in the 2020s?
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In the 1940s, von Neumann brought order to computer architecture.
in the 1970s, Codd brought order to database management.
In the 2020s, who will bring order to AI? -
Fleet APAC agents gain new computer use capability
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Fleet APAC agents just unlocked a new major capability: computer use!
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AI agents rely on infrastructure; Ricoh runs Japanese models at 700+ tokens/sec
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AI agents are only as useful as the infrastructure behind them. @ricoh is running custom Japanese AI models on SambaCloud at 700+ tokens/sec, delivering up to 10× faster performance than previous infrastructure. What once took a minute now finishes in ~10 seconds, making
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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, -
Elon Musk calls ‘test-time compute’ a dumb AI term
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“Test-time compute” is such a dumb name for “compute”. So many dumb names for things in AI.
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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 -
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: