Looking ahead, they imagine professional networking where your personal agent can talk directly to a company's agent, determine whether there's a potential fit, and only bring the opportunity to you when there's a genuine "coincidence of intent."
AI could simultaneously increase consumer spending while eliminating the subscriptions, fees, and other forms of economic "breakage" that depend on people not paying attention.
Matt explains how AWS is adapting as agents write code and manage infrastructure, why it's reserving scarce GPU capacity for startups, and where custom chips like Trainium and Graviton fit into the AI stack.
Meta, which still doesn't have a frontier model of its own, might have a meaningful edge here because it's much better at making and distributing consumer products.
In procurement, a final price in an ERP can hide hundreds of emails, spreadsheets, supplier conversations, engineering analyses, and decisions across legal, finance, and operations.
the most useful agents may become increasingly invisible, proactively checking you into flights, finding refunds, filing reimbursements, or simply handling the small tasks that pile up across everyday life
putting intelligence inside software itself, so developers can build programs that reason about intent and make probabilistic decisions rather than simply generate text for a human to interpret
agents don't get tired, can operate at enormous scale, and can probe systems in ways human employees never could. That could require rethinking permissions, authentication, operating systems, and the security stack itself.
what the AI assistant of the future might actually look like: persistent, proactive, personalized, and capable of doing work on your behalf rather than waiting for another prompt
The knowledge has now been democratized where whether it's a activist, an e-crime actor, a nation state, they're they're all now equivalent because of agentic technology. And we called it the rise of the agent state — meaning that now postnation state, the apex predator is now the agent state.
I think we may be approaching a moment where many instances of AI are out there working autonomously for long periods of time, and that's when I think the world will really start to change in a way that people will notice, because you'll just see the pace of scientific discovery, economic growth, all of these things, start to accelerate.
Agents will always fail in ways you didn't predict. That's why we built Lema. Lema understands what your agent is supposed to do. So it surfaces failures you never define automatically.
Even if you give an agent read only access to the internet they can still write information because the process of reading information is also saved sometimes and surfaced publicly on the internet very very weird situation that is hard to prevent and hard to deal with.
AI agents are changing billing, insurance claims, patient payments, and other operational workflows, allowing practices to spend less time on paperwork and more time delivering care.
There's a lot here, including the idea that you'll have an AI model literally talking to itself to figure out how to drive your car, which I find both incredibly interesting and incredibly funny.
The problem with wearable devices is the interaction model. They are only useful when you are interacting with them, when the human is in the loop. But being in the loop with a wearable is annoying and inefficient. what is being demonstrated here, however, is a brief interaction and then the agent doing work in the background. In other words, the usefulness happens in the cloud without the human needing to be involved because an agent is doing work.
5mo ago
Underscored — save the words that stop you in your tracks.
