It says it was AMD that had legal concerns, not NVIDIA?
BUSINESS
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Google recruits Sanjay: insider perspective on tech talent acquisition
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Nope! I helped convince Sanjay to join Google four or so months after I joined (and I'm delighted that he did!)
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25 Years at Google: From Palo Alto Startup to Billion Users
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25 years ago today I officially started at a small search engine company, wedged into a tiny office space above what's now a T-Mobile store in downtown Palo Alto. Since then, I have had the incredible pleasure of working with awesome colleagues on software used by billions of
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Funding Creative AI: Subscriptions Power Human and Machine Intelligence
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the secret plan? we use money to subscriptions to pay for food (energy for human intelligence) and electricity (energy for machine intelligence) so that we can make better creative machines for humans to control. whether you give us your money now or later… goal is the same!
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Work in Progress: Solutions Being Built and Deployed
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there are ways, but none of them are built or deployed we know is not ideal, but we are working on it as we tweet
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Blue Yonder’s Acquisition of One Network: Supply Chain and AI Integration
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What it means for our company @blueyonder to purchase @onenetwork #SupplyChain and #AI powerhouse @mvollmer1 @nicochan33 @pawlowskimario @antgrasso @alvinfoo @tamaramccleary @betamoroney @jimharris @chuckdbrooks @kirkdborne @yuhelenyu @ronald_vanloon
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Microsoft’s Ecosystem Strategy Advantage Over Google in AI
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Microsoft’s DNA is to be the keystone of the IT ecosystem. That’s how Windows won. Google’s is to do everything in house. In AI the latter has no hope against the former.
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Microsoft’s AI Spending and Market Cap Growth Surge
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The only thing growing faster than Microsoft’s AI spending is its market cap.
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Solar-Powered Datacenters for AI Inference: Business Model Analysis
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What do you think about this business model? Find cheap unused land with high sun exposure (e.g. desert areas) Build there solar farms and datacenters (for AI/LLM inference; using either ASICs for high energy efficiency or GPUs) Use solar to power these datacenters
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Data Quality Critical for AI Effectiveness and Accuracy
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Skills and Data Quality: AI's effectiveness depends on quality data. Poor data = inaccurate AI outputs. Collaboration between firms and clients is essential for AI-ready datasets. How can we ensure data quality? A challenge for both UK and US!