Context is code. Who believes that is true? There’s two ways that I’ve seen this manifest. One is the like very vibe coding, Andrej Karpathy who says, we’re just giving it prompts. We’re giving it context. It’s writing the code for us. Definitely context is code there. The second piece is something we experienced in our own company. We were writing a piece about onboarding people to our tool. You cannot imagine the discussions we had and then the number of pieces of code we had to write for all the edge cases of doing the onboarding. Then in the end, we said, let’s write a skill in natural language, give it to the agent, it will cater to whatever the person in front of it needs to have, all the scenarios. So much code compressed to a couple of words. That’s also code. It’s not just building it, it’s like a piece of the product as well.
I personally love to think in parallels, and in 2009, I was thinking like, what if ops would be more like dev? We had DevOps. This talk is about what if context is like code. That’s the mindset. The Software Development Life Cycle is the Context Development Life Cycle. I’m not talking about context engineering within your coding agent, but think of it as context. How do we deploy? How do we manage that across our whole setup? We remember the infinity loop, nothing new there. I’ve put a few different words on that. We’re generating context. We’re evaluating whether that context is good. We’re distributing that to team members, the organization to agents, and then we’ll observe whether that actually is working, yes or no, and based on the feedback we get, we improve or generate and come back. Simple loop, same as we try to do with coding. I’m going to walk you through it in the parallels between those four things, and in the end, we’ll have a bonus, the context flywheel. — Read More
Recent Updates
I Quit OpenAI Because Its Culture Is Broken
What I’m about to tell you has, I realize, become something of a cliché: I resigned this week from OpenAI. I led the writing of the safety reports we published with each major launch. Now I’m joining a parade of former colleagues—at OpenAI and the industry’s other leaders—who have decided that the current path is unacceptable.
I agree with other recently departed staff that the companies building this technology aren’t being nearly careful enough. But I believe that we need to look deeper than specific rules or new laws. We need to talk about culture. — Read More
48% thought Tavus’s AI was human
Okay, so the AI company Tavus introduced an AI video model today that 26 of 54 people thought was a real human after a one-minute face-to-face call.
It’s called Griffin. And instead of the usual AI stack where speech, an LLM, voice, and avatar animation take turns, Griffin watches your video and listens while it’s talking. — Read More
Trump, tech bosses sign voluntary pact pledging ‘robust’ AI safeguards
United States President Donald Trump and top tech executives have signed an accord promising greater safeguards for artificial intelligence amid growing concerns that the frontier technology is exposing humanity to catastrophic risks.
Trump announced the voluntary accord on Tuesday after gathering AI leaders at the White House for a luncheon event that reaffirmed his administration’s scepticism of government regulation of the rapidly advancing technology. — Read More
Gemini 4 Argon: frontier intelligence
Gemini 4 Argon delivers frontier performance in complex workflows across real-world software engineering, enterprise knowledge work like legal and finance, and cybersecurity defense.
[W]e’re announcing our new frontier model, Gemini 4 Argon, which is rolling out to a set of trusted cyber defenders through our Fairwind Program. Built to sustain deep reasoning across complex, long-horizon workflows, Argon is fundamentally changing the way we work and build at Google. It delivers frontier performance in complex workflows across real-world software engineering, enterprise knowledge work like legal and finance, and cybersecurity defense. — Read More
Introducing dots
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
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
