Juan Beck

For posterity 🇺🇸🇨🇱🇻🇪

[Charly Wargnier @DataChaz]

🚨 A SENIOR ANTHROPIC ENGINEER JUST DROPPED AN 11-PAGE PDF ON LOOP ENGINEERING.

The core shift: stop prompting the agent. Build the system that prompts it.

Inside the autonomous loop:

- Discover → Finds its own work (failing CI, open issues).
- Isolate → Uses separate git worktrees to prevent collisions.
- Verify → A second agent reviews the work. (Never let agents self-grade).
- Persist → Writes to disk, not temporary context windows.
- Schedule → Runs automatically on a timer.

This is a great framework for building more reliable agentic systems

link to the guide below.

Read it, then check out this ace article on Loop Engineering by @akshay_pachaar 👇

[Aakash Gupta @aakashgupta]

The 1% vs 99% problem in AI adoption comes down to knowledge trapped in the wrong place.

Right now, at every company, 1-2 people in each function have figured out how to use AI well. They built their own workflows. They're saving hours a day. The other 98% don't know what to use or when, so they default to prompting from scratch and getting mediocre output.

The gap compounds every week.

The fix is architecture, not training. Laurel, a $100M startup, built a GitHub repo where every business function has its own folder: customer success, design, engineering, finance, legal, marketing, product, sales.

Inside each folder are subfolders for every activity that function does. Inside each subfolder is a skill file. How to run a renewal. How to prep a handoff. How to do a session brief. Exactly as the best person on the team would do it.

Those skill files get uploaded to Claude at the company level, in org settings, under Skills. Every employee sees the same skills. Every employee gets a Slack briefing each morning that routes them to the right skill for their day.

JZ, who built this system at Laurel, showed the full structure in this episode. The part that stuck with me: they built an ontology first. Before writing a single skill, they mapped every function's work to categories, then tasks. Marketing maps to X, sales maps to Y, product maps to Z.

That sequence matters. You cannot build skills for work you haven't mapped.

Most companies try to scale AI adoption bottom-up. Encourage experimentation. Hope the good workflows spread. They don't. The 1% builds in isolation and the gap widens.

Top-down works. Map the work, then build the skills, then deploy at the org level. The 1%'s knowledge stops being tacit and becomes infrastructure.

The PM ontology is shifting fastest. The guest said it directly: PMs should be thinking like engineers now. The repeatable work, stakeholder writing, competitive analysis, feedback synthesis, is being automated. The PMs who are safe are at companies that mapped this work before it disappeared.

Map the work first.

[Anatoli Kopadze @AnatoliKopadze]

Head of Engineering Shopify:

"AI writes the code, AI reviews the code. Your job is just to write the loops around it."

26 minutes on how AI changed the way 3,000 engineers work inside a single company.

Ignoring it while everyone else uses AI to do more is the fastest way to fall behind.

Watch it, then read the step by step guide on loops below.

[Midjourney @midjourney]

Announcing a new division of Midjourney called "Midjourney Medical"

[Jordan Crowder @digijordan]

Midjourney just shocked the world:

They’re building the Midjourney Scanner…a full-body Ultrasonic CT that delivers MRI-quality (or better) 3D scans of your organs, tissues, muscles, fat, bones & more in ~60 seconds!

No radiation, no magnets, no claustrophobia…just sound waves + water.

Why it’s revolutionary 👇
• Safe enough for daily scans
• Tracks changes over time: early detection, body comp, recovery
• Reconstructed with Midjourney’s image AI magic for stunning detail
• Coming to relaxing “Midjourney Spa” centers (hot tubs, saunas, etc.)

First flagship in SF late 2027.

Long-term goal: 50k scanners worldwide doing a billion scans/month.

Whataya think?

[Aaron Levie @levie]

Great post. The companies that are able to get their unique IP, institutional knowledge, and data into a format and architecture that lets them capture all of the gains and progress in AI are going to be in the best position in the future.

“the real opportunity is not in picking the best model but instead in building a learning loop on top of models where human capital and token capital compound. You can offload a task, or even a job, but you can never offload your learning. The future of the firm is the ability to compound that learning across people and AI.

This requires a new architectural approach where every business is able to build agentic systems that improve over time, while still retaining control over their IP. A company should be able to switch out a “generalist” model without losing the “company veteran” expertise built into their learning system.”

We’re all collectively figuring out the right architecture for the future of AI. But it’s clear that so much of the power and value will accrue to wherever can best leverage any AI system against their information. This is also why the applied AI layer will also gain so much value over the coming years.

[Shruti @heyshrutimishra]

Elon just created 4,400 millionaires in a single day.

400 of them are now worth over $100 million.

These aren't VCs. They're SpaceX employees, and the list includes welders, technicians, and cafeteria staff, because for two decades the company paid every level of the workforce in stock instead of higher salaries.

Juan Hernandez immigrated from Mexico and took a $28 an hour contractor welding job in 2015. He says he didn't even know what SpaceX was. The company gave him a $10,000 equity grant and let him buy more shares through payroll deductions. That stake is now worth $880,000.

Trevor Hise's parents wanted him to take a stable job at General Electric. He picked SpaceX instead, stayed 12 years, and accumulated over 100,000 shares. At the $135 listing price that's $13.5 million. He's 37 and semiretired. His words: "The magnitude of this has been ridiculous."

The most telling detail came before the listing. Over 100 employees quietly banded together and negotiated a group wealth management deal covering up to $5 billion, because none of them had ever needed a wealth manager before.

Software IPOs have minted millionaires for 30 years. This is the first one where the money went to the factory floor.

[Bryan Johnson @bryan_johnson]

This is biblical.

A woman in her eighties. Ten years into Alzheimer's. Hadn't spoken a full sentence in five years.

Takes one, 5 gram dose of psilocybin.

She slept 19 hours and woke up and spoke for hours about her life, recognized family and held real conversations. She regained bladder control after five years, walked on her own. and dressed herself. Gains held for weeks.

[Vaibhav Sisinty @VaibhavSisinty]

Okay this is genuinely insane.

SpaceX just unveiled a satellite whose only job is to run AI. Not internet. Not GPS. Just compute, floating in orbit.

It's called AI1, and the reason behind it breaks your brain.

AI data centers on Earth are hitting a wall, not a chip wall, a physics wall.

They need staggering amounts of power and water just to stay cool, and we're running out of grid and land to build them.

So Musk's answer is: stop building them on Earth.

In orbit, the sun never sets. Free power, 24/7. No water for cooling, you just radiate heat into the vacuum of space. The two things choking AI on the ground barely exist up there.

And here's the wild part: Musk says it's easier to build than a Starlink satellite. Strip out the complex antennas and it's "a lot of solar cells, a radiator, and some laser links."

One AI1 carries the compute of an Nvidia GB300 rack, the same hardware data centers fight over down here.

AI1 is just the first one. The plan is a constellation of up to a million of them.

And the timing isn't an accident, SpaceX goes public this week at a ~$1.75 trillion target. This isn't a rocket company anymore. It's positioning itself as the power grid for AI, in space.

The race for AI compute just left the planet. Literally.

@SpaceX

[alex kershaw @kershaw_alex]

It's 4.15 am in England. Ike says quietly, "Ok. Let's go." D Day is on. Here he is, 20 years later. @WWIIMemorial

[@jason @Jason]

The original “you’re fired”

What a classic film

[BaseballHistoryNut @nut_history]

This is Ami Inamura. She’s is a Japanese sportscaster, television personality, and model. She threw the most beautiful ceremonial first pitch I’ve ever seen and it even clocked at 64 MPH. Completely fool the batter.

Legit serious when I say this will be the best thing you’ll see today.

[MLB Cathedrals @MLBcathedrals]

New: Just released rendering of a West Sacramento ballpark and entertainment district, the proposal is part of an effort to gain a @MLB expansion bid…

[darkzodchi @zodchiii]

https://t.co/ggo0KPgQ2J

[Danny Deraney @DannyDeraney]

Every year, I share this video of French caretakers who take sand from Omaha Beach in Normandy, and scrub them into the letters to give them the gold coloring.

They do this for all 9,386 US soldiers who died.

France also gave us this land as American soil. #MemorialDayWeekend

[Joe Pompliano @JoePompliano]

Fernando Tatis Jr. has lost his lawsuit against Big League Advance.

Tatis was paid $2 million as a minor leaguer in exchange for 10% of his future earnings.

This was not a loan.

If Tatis didn't make it to the big leagues, he didn't have to repay the $2 million.

But Tatis did make it to the big leagues and later signed a 14-year, $340 million contract.

That meant Tatis owed Big League Advance $34 million.

Tatis had publicly praised Big League Advance, saying the $2 million allowed him to hire a personal trainer, upgrade his apartment, and eat better food.

But after realizing he owed $34 million in exchange for $2 million, Tatis sued the company, alleging that they used predatory tactics to lure him into an investment deal that was really an illegal loan.

The judge disagreed.

The agreement was upheld this week and Tatis was even ordered to pay Big League Advance’s legal fees.

This is a big deal because Big League Advance has signed deals with 700+ athletes, including Elly De La Cruz (MLB) and Nolan Smith (NFL), across MLB, NFL, and college sports (think: NIL).

And now that the courts have ordered Fernando Tatis Jr. to follow through on the agreement, other potential legal challenges will likely go the same way.

[bryan 🇧🇷🌉 @bryarea]

TWO MEN DOWN IN CENTER

[Justice delos Santos @justdelossantos]

How is Ron Washington, time and time again, able to help his infielders make significant strides on defense?

A few weeks ago, I worked with Wash to find out.

And yeah, it was incredibly hard.

Story: https://t.co/yoYWcSuPbr

Video: https://t.co/1X7LAVwKYr

[Deirdre Bosa @dee_bosa]

The more interesting part is that Microsoft’s own engineers liked Claude code best…and they’re cutting it anyway

Token pricing is making enterprise actually look at what these models cost to run and that could be a problem for the labs when the subsidy ends. Lots of cheaper options out there and not just Chinese open source anymore

[Cameron Salerno @cameronsalerno1]

Mike Brown’s tenure in Sacramento wasn’t perfect. Still, he was the best coach the organization had in almost 2 decades. Not shocking he’s having immediate success.

Meanwhile, Vivek Ranadivé never took accountability for the firing. He lets others take the blame and talk for him