Today’s Tech, Talk & Telecom Roundup: Market Talk in @WSJ featured highlights from #WEF25. @RodrigoLiang said the #semiconductor industry will be driven by #AI, with a renewed focus on power-efficient chips. Read more (subscription required): https://
wsj.com/business/tech-
media-telecom-roundup-market-talk-2b023358
…. #Davos
COMPUTING
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Semiconductor Industry Driven by AI and Power Efficiency
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China AI Compute Model Challenges US Training Infrastructure Scale
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Your point is badly conceived. Just because China built a model that requires less compute than the US ones doesn’t mean thar compute doesn’t need to be scaled. The compute isn’t built for model training long-term. It’s for inference and real-world use cases.
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Quantum Search: Exploring Simultaneous Path Solutions
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🔍 The Magic of Quantum Search – Imagine Finding Every Hidden Path at Once!
— Pascal Bornet (@pascal_bornet) 22 janvier 2025
Ever wondered how you could solve a puzzle by checking every possible solution simultaneously? That's the mind-bending power of quantum search! Unlike traditional computers that check one path at a time,… pic.twitter.com/hQYBYjIUiSThe Magic of Quantum Search – Imagine Finding Every Hidden Path at Once! Ever wondered how you could solve a puzzle by checking every possible solution simultaneously? That's the mind-bending power of quantum search! Unlike traditional computers that check one path at a time,
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Major Partnership Requires Significant Computing Power Increase
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absolutely not! very important and huge partnership, for a long time to come. we just need moar compute.
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Context-Augmented Generation: Memory and Scalability Limitations
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That said, CAG has downsides:
• You need lots of memory as you fill the context window at every query.
• You cannot upload your whole million-rows dataset. It must be smaller than the current model's context window (e.g. 128k, 200k… tokens).
• You must host the model -

OpenAI unveils $500B Stargate AI project
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BREAKING: OpenAI announced Stargate project with 500B investment into AI infrastructure “Arm, Microsoft, NVIDIA, Oracle, and OpenAI are the key initial technology partners”
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xAI’s Grok model selector update
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xAI is working on a new model selector for a standalone Grok For now, only grok-latest (2) is available, but eventually, we should see there an addition which everyone is waiting for
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US Intelligence Infrastructure Leadership in Global AI Competition
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5/ The stakes are massive. This isn’t a project—it’s the future. Intelligence is physical now. Infrastructure is strategy. The industrial revolution of intelligence is underway—and the US is leading it. 6/ I relocated to the U.S. six months ago. Looks like that was a good
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Nuclear energy and infrastructure: powering AI’s future growth
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3/ 2025 trends converging: •Nuclear energy—the only way to meet AI’s hunger for power. •Infrastructure reinvention—data centers, chips, grids: nation-building 2.0. •Private-sector leadership—the real moonshots aren’t coming from governments. (Although, Trump’s new
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Texas emerges as global AI infrastructure powerhouse
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2/ Forget the old metaphors. This isn’t “the new oil” or “the new factories.” This is a new era. Building the infrastructure to power intelligence—globally. And it starts with Texas as ground zero.