Dots are remarkably capable, always-on agents built to handle everything. They’re a whole new way to work with AI—one that gets to know what matters to you, is always working on your behalf, and takes important work off your plate so you get more of your time and attention back. — Read More
Daily Archives: September 30, 2026
Nvidia’s scale-in play: Controlling agents is the next infrastructure priority
Nvidia Corp. is extending the data processing unit from infrastructure offload to a broader security role across the artificial intelligence factory. The opportunity is to make agentic AI safer to operate at scale.
…Having built out its scale-up, scale-out and scale-across network architecture, the company is introducing another category it is calling scale-in. Its purpose is to connect more of the AI factory’s resources while extending security controls across the infrastructure. In Nvidia positioning, the DPU extends beyond a device that secures access to a server and becomes a separate place to monitor and control activity across the factory. — Read More
‘Vibe Coding’ Has Become ‘Doomcoding’
We’re not dumbing down. We’re dumbing from the middle out. Let’s talk about “doomcoding.”
I am going to uncover what I think the biggest problem is right now with “vibe coding” … or AI-assisted coding or agentic coding, basically any flavor or skill level of creating something with these fun new tools that’s going to get you ahead and make you a billionaire.
Because the big new problem with vibe coding is big. And new. And I don’t think anyone is addressing it yet.
It’s … doomcoding. I’ll explain. — Read More
How do you certify AGI?
We are racing toward AGI without agreeing on what would prove we’ve reached it. There is no stable definition, no benchmark that survives the pace of progress, and no reliable way to inspect what happens inside frontier models. As researchers increasingly warn about the jump from AGI to ASI, that Certification Gap is becoming a problem we may not have the luxury of solving after the fact.
Every major AI lab now treats artificial general intelligence as a delivery date, not a philosophy seminar. OpenAI’s founding charter is organized around it. Google DeepMind publishes formal frameworks for measuring progress toward it. And the money follows the conviction: by Stuart Russell’s count, the world is spending ten times what the Manhattan Project cost and a hundred times the price of the Large Hadron Collider, roughly 500 billion dollars so far, to build machines that match or exceed human intelligence across the board. — Read More
Trump signs executive order to launch AI-powered ‘America.gov’
President Donald Trump signed an executive order on Tuesday establishing America.gov, an AI-powered government portal through which users can access public services and search thousands of federal databases.
The order, “Streamlining access to government services through America.gov,” establishes the website and directs all agencies to integrate their public-facing services into the platform within 90 days. — Read More
