Large U.S. companies just hit the brakes on AI—adoption fell from 14% to 12% in two months, the first decline since tracking began. MIT research explains why: 95% of enterprise pilots deliver zero ROI. The gap between AI hype and workflow reality is widening.
Good Morning from San Francisco, Oracle just inked a $300 billion computing deal with OpenAI. That's not a
Oracle bets $300B on OpenAI's computing future, but the math is stark: OpenAI generates $10B annually while committing to $60B yearly. The deal either transforms Oracle into an AI infrastructure leader—or becomes a cautionary dot-com tale.
Explore Nvidia's latest AI models designed to streamline your workflow. Discover how these innovative systems can revolutionize your business.
Nvidia just turbocharged Meta's Llama AI models. The chip giant revealed its new Llama Nemotron family today, designed to power AI agents that can tackle complex tasks while you grab coffee.
These enhanced models didn't appear by magic. Nvidia took Meta's open-source Llama and cranked up its reasoning abilities. The result? AI that's 20% more accurate and five times faster than its predecessor. It's like giving a calculator a PhD in mathematics and a double shot of espresso.
The company splits its new offering into three flavors. Nemotron Nano runs on your laptop. Super needs one beefy GPU. Ultra demands multiple servers and probably its own zip code.
Microsoft jumped on board immediately, adding Llama Nemotron to its Azure platform. SAP plans to use it to boost its AI assistant Joule, which hopefully won't become self-aware during quarterly reports.
But Nvidia isn't just pushing better AI models. They're building the entire playground. Their new AI-Q Blueprint helps developers connect knowledge bases to AI agents. Think of it as a neural network construction kit, minus the confusing instruction manual.
The company also unveiled an AI Data Platform blueprint for storage providers. Dell, IBM, and others can now optimize their systems for AI workloads. It's like giving your data center a brain transplant, except less messy.
Nvidia's partnership list reads like a Silicon Valley phone book. They're working with Oracle to accelerate AI development in the cloud. Google DeepMind is letting them use SynthID to watermark AI-generated content. They're even helping Google build robots that can grasp objects, though hopefully not world domination.
CEO Jensen Huang seems pleased with all these partnerships. But then again, when your company's AI tools are spreading faster than cat videos on the internet, it's hard not to smile.
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Oracle bets $300B on OpenAI's computing future, but the math is stark: OpenAI generates $10B annually while committing to $60B yearly. The deal either transforms Oracle into an AI infrastructure leader—or becomes a cautionary dot-com tale.
Oracle's stock exploded 40% after revealing a $455B AI contract backlog and projections for $144B cloud revenue by 2030. The surge made Larry Ellison briefly the world's richest person—but can the company turn massive bookings into sustainable margins?
Publishers like Reddit and Yahoo launched a new licensing standard to charge AI companies for training data. The Really Simple Licensing protocol lets sites demand payment per crawl or per AI response. No major AI company has agreed to comply yet.
Meta's $72B AI talent hunt is imploding. ChatGPT co-creator nearly quit within a week, forcing tripled compensation. Elite recruits defecting to rivals while existing employees demand parity. The secretive TBD Lab creates new corporate castes.
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