Bill Gates published Business @ the Speed of Thought in 1999. I read it for the first time this summer, which is a bit like watching a prophet’s sermon after most of the prophecies have already come true.
It’s a strange reading experience. You keep nodding along, thinking “yes, obviously,” and then you remember that when he wrote this, most people were still using dial-up and the idea of checking your bank balance on a phone would have sounded like science fiction.
… I thought this book was interesting right now, as Gates was trying to answer a question in 1999 that we’re trying to answer again in 2026, just with different technology. Everyone is wrestling with, well what happens to business when information becomes fast, cheap, and ubiquitous? — Read More.
Monthly Archives: March 2026
I tried Norton’s AI-powered Neo browser and it finally made sense out of my dozens of open tabs
Whether you like it or not, AI is finding its way into all of our devices and the apps we use everyday. From chatbots to image generators, you can’t blink without seeing AI somewhere now. However, I never expected to try and enjoy using an AI-powered browser as much as I have over the past week while testing Norton Neo.
After going hands-on with OpenAI’s ChatGPT Atlas browser when it first released last year, I have to admit the bar was quite low. Although both it and Neo are Chromium-based browsers, they do things quite differently, especially when compared to my go-to browser, Google Chrome.
While ChatGPT Atlas tries to turn the traditional web browser on its head, Neo follows in the footsteps of Opera Air and its more mindful approach to how you use the web. Instead of taking the actual browsing out of your hands like ChatGPT Atlas does with its agents, Neo focuses more on refining the browsing experience by making it calmer and smarter at the same time. — Read More
Why and How to Build a Research Org
In the emerging effort to make the full TAM of labor addressable via software and robotics, there is a growing appreciation for how complex the world actually is.
That complexity is not a reason to sit on our hands and wait for things to play out.
We are finally at a moment where there is enough understanding around how model capabilities intersect with data, RL, evaluations, and the broader vendor stack that ambitious organizations can begin to behave differently.
The strategies are increasingly legible. The vendor ecosystem has matured. Open-source models have proliferated. The infrastructure required to pursue durable advantage has now emerged.
And so the implication is fairly straightforward: this is a moment for concentrated research ambition in every vertical. — Read More
How China is getting everyone on OpenClaw, from gearheads to grandmas
China is making a big push for widespread adoption of artificial intelligence, and the nation’s tech powerhouses are holding public events to help everyday people get OpenClaw, the viral personal digital assistant.
… The AI agent, developed by Austrian developer Peter Steinberger and previously known as Clawdbot and Moltbot, is all the rage in China. … China has already surpassed the U.S. in adopting OpenClaw, according to American cybersecurity firm SecurityScorecard. — Read More
Software Was Always a Compromise. AI Just Broke It.
Your computer can do anything. Seriously.
Every modern computer is Turing complete. That’s a technical way of saying it can perform any computation that is physically possible.
… It always could. From the moment you bought it.
So why have most people spent decades using computers for a handful of things — browsing websites, editing documents, compressing images?
The answer is software. And it’s more interesting than it sounds. — Read More
Meet the new Stitch, your vibe design partner
Developer’s Guide to AI Agent Protocols
The growing landscape of AI agent development is overloaded with acronyms: MCP, A2A, UCP, AP2, A2UI, and AG-UI, just to name a few. If you’ve ever looked at this list of protocols and felt like you were staring at a wall of competing standards, you are not alone. To help you understand their value, we are going to demonstrate what each one does to save you from writing and maintaining custom integration code for every single tool, API, and frontend component your agent touches.
We will put these protocols into practice by using Agent Development Kit (ADK) to build a multi-step supply chain agent for a restaurant. This scenario works well as a test case because ordering wholesale ingredients requires checking inventory databases, communicating with remote supplier agents, executing secure transactions, and rendering interactive dashboards. — Read More
Measuring progress toward AGI: A cognitive framework
[Google is] introducing a framework to measure progress toward AGI, and launching a Kaggle hackathon to build the relevant evaluations.
Artificial General Intelligence (AGI) has the potential to accelerate scientific discovery and help solve some of humanity’s most pressing problems. But it can be difficult to know how close we are to this key milestone, because there’s a lack of empirical tools for evaluating systems’ general intelligence. Tracking progress toward AGI will require a wide range of methods and approaches, and we believe cognitive science provides one important piece of the puzzle.
That’s why today, we’re releasing a new paper, “Measuring Progress Toward AGI: A Cognitive Taxonomy,” that presents a scientific foundation for understanding the cognitive capabilities of AI systems.
Alongside the paper, we are partnering with Kaggle to launch a hackathon, inviting the research community to help build the evaluations needed to put this framework into practice. — Read More
The Future of ITSM: 4 Trends Defining the Agentic Era
For decades, enterprise IT has reinvented itself — cloud, mobile, SaaS, AI — yet IT service management has remained largely unchanged. Employees still navigate clunky portals, submit tickets, and then wait. That model is no longer acceptable.
The pressure is mounting – our research found an 18% surge in IT project requests and that 29% of IT projects aren’t delivered on time. Businesses move faster than ever, and employees expect seamless digital experiences. Any friction in IT service slows productivity, frustrates teams, and drives costs sky-high. Enter agentic IT service, a new approach that uses AI agents to transform how support is delivered and experienced.
IT service is entering a new era – and enterprises that fail to embrace it risk falling behind. Here are four trends shaping the future of ITSM.
1. The end of the ticket-centric IT model
2. AI agents will resolve most everyday IT issues
3. Human and AI collaboration will define IT operations
4. IT service will become proactive instead of reactive
Read More
How Do You Want to Remember?
I asked my AI agent how it wants to remember things. It redesigned its own memory system, ran a self-eval, diagnosed its blindspots, and improved recall from 60% to 93% — for two dollars. The interesting part isn’t the benchmark. It’s what happens when you treat an AI as a participant in its own cognitive architecture.
I’ve been running ten AI agents for about six weeks. They have names, scopes, daily standups, escalation paths. They file issues, draft newsletters, monitor production services. They remember things. Or they’re supposed to.
The memory system works like this: a markdown file tree (memory/YYYY-MM-DD.md) gets indexed into a SQLite database with Gemini embeddings. 18,000 chunks across 604 files and 6,578 session transcripts. 3.6 gigabytes. Every 29 minutes, a “scout” cron job reads recent sessions and promotes important details to disk. When an agent needs to recall something, it searches the index and gets back ranked snippets.
I had no idea if any of this actually worked. — Read More
Rick's Cafe AI 