2026-03-14

RT Soleio “When you’re at the frontier, possibilities present themselves that don’t exist for anyone else.”

A subtle dynamic today that will likely end up being quite fundamental in the future is that AI agents implicitly will end up procuring a significant portion of tech in the future for you and your company. For companies that have existing standards for a particular tech or where there’s a strong preference, the agent will rely on that. Even then, the agent will eventually make it more and more obvious when they’re running into issues with the existing tech. But for all new workflows or software, which will be the vast majority of software procured in the future, the agent is generally going to be in the driver’s seat for what gets used. This has major implications for platforms because it means if you’re not able to be easily provisioned by an agent, and you don’t have usable APIs for every core feature, you’re basically dead to the agent. Over time agents will ruthlessly prioritize what they use based on what’s easiest, what’s most effective, what’s cheapest, or other parameters you give it. In theory people have always done this, but agents will be much more utilitarian here than people ever were. Wild implications. Todd Saunders: Claude will be the biggest software procurement platform in tech. And they aren't even trying to be (i don't think). Every time you use Claude Code, your infrastructure is now implicitly auditing your vendor stack. And unlike your engineering team, it has no vendor loyalty and

This is beautiful, and true maddie rune🪰: No one tells you that parenting is just relearning the world through someone who thinks worms are friends & birds are miracles. It’s the most healing thing I’ve ever done. My daughter looked out the window this morning & said, everything is green & growing. I told her, you too.

AI will help us rewrite lots of foundational infrastructure in Rust. We will live in a safety, speed, memory efficiency, predictability, and cold start performance panacea Chris Tate: agent-browser is now fully native Rust. The results: 1.6x faster cold start. 18x less memory. 99x smaller install. Less abstraction means faster shipping, more control, and capabilities that weren't possible before. Now with 140+ commands across navigation, interaction, state

There’s a fundamental difference between taking an existing process and applying AI agents to it vs. taking a process from scratch and designing it from the ground up for AI agents. The gap we’re going to see will widen between the teams and companies that are able to do the latter instead of just the former. In theory it would have been ideal for all the gains of AI to have come “for free”, but there are both clear constraints of AI (like getting the context right) and clear upsides (like being able to execute code and run in parallel) that the workflows themselves must be redesigned to take full advantage of this technology. One of the biggest implications that will come into focus is that agents that can write and run code, and interact with any API, will lead to agents effectively being expert engineers applied to your business process. So to some extent one of the biggest ways of reengineering a workflow is to ask yourself: what would you do if you had an infinite number of capable engineers write software for this process. What if those engineers wrote code to connect your disparate data sources, comb thorough any amount of unstructured data, automate your repeated tasks, connect your various systems together specific to your process, and so on. Not every process has that upside, but there tons of tasks that we do every day across marketing, finance, operations, and even sales, where a programmer with infinite code writing and API access would be able to make something go far faster or produce way more output. The teams that start to think this way will start to operate entirely differently.

Entrepreneurship is more about stamina than it is about genius

"We are on the threshold of a mathematical renaissance and massive scientific discoveries" - @CarinaLHong, CEO of @axiommathai, which just announced their $200M Series A Full episode 👇 Matt Turck: Can AI be correct 100% of the time? Verification as the missing layer for reasoning superintelligence - my conversation with @CarinaLHong, the incredibly impressive CEO of @axiommathai. 00:00 Intro 01:25 Why the World Needs an AI Mathematician 02:57 Scoring 12/12 on the

It’s a great time to build something new! For the next two weeks, we’re doubling rate limits on weekends and outside 5-11am PT on weekdays Claude: A small thank you to everyone using Claude: We’re doubling usage outside our peak hours for the next two weeks.

Wife: What did you do when I was out? Me: You know read some books, taught him some words, played with legos, just wholesome things But, what we really did..

Uncharted Math #ai #podcast

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⚡️Monty: the ultrafast Python interpreter by Agents for Agents — Samuel Colvin, Pydantic

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Why Every AI Agent Will Become a Coding Agent #ai #podcast

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