Alex Kwiatkowski

The 12-slot rule: constraint is the feature, not the bug. The heart can't overcommit. Diesel engines are governed below their ceiling. A watch face only has 12 positions. Remove the constraint and you don't get more throughput — you get shorter engine life and invisible critical paths. New post on constraint-driven prioritization → alexdk.com/blog/constrain…

What story are you telling?

Unix is the IDE. Especially now, in the agentic era. Every modern agent harness is just a formalized Unix control loop: command in, output out, parse, verify, repeat. The text stream was always the protocol. alexdk.com/blog/unix-is-t…

@thsottiaux Any chance you can re-enable contributions from outside contributors. I've got an improvement to reviews I'd love to get in x.com/rupurt/status/…

We are adding compute as fast as we can for Codex, but demand is surging faster than anticipated and service can be a little bit choppy for some. Team is working hard behind the scenes.

@geminicli I submitted a fix for model selection when hitting rate limit quotas. I can't figure out how to get it to pick up the signed contributor agreement github.com/google-gemini/…

shipped sift: hybrid BM25 + vector search, single Rust binary, no daemon, no cloud. built it in 24hrs with tooling I'm not ready to talk about yet. first proof it works. github.com/rupurt/sift

Definitely a problem with Claude Code rate limits. I used up my 5hr session this morning way fast than normal and 20 mins after reset I've used 30? /fast mode disabled

@thsottiaux x.com/rupurt/status/…

With GPT-5.4 out. What should Codex ship or improve next?

@steipete looks like y'all have disabled PR submission on Codex. I've got a patch I'd love to submit to enable remote refs in the /review command github.com/openai/codex/c…

Friday vibes. Setting sail for summer...

Is that commander keel?

Calibrate the bearing to monkey island!

The never ending thought...

BREASTMILK She thought she was studying milk. What she uncovered was a conversation. In 2008, evolutionary anthropologist Katie Hinde was working in a primate research lab in California, analyzing breast milk from rhesus macaque mothers. She had hundreds of samples and thousands of data points. Everything looked ordinary—until one pattern refused to go away. Mothers raising sons produced milk richer in fat and protein. Mothers raising daughters produced a larger volume with different nutrient balances. It was consistent. Repeatable. And deeply uncomfortable for the scientific consensus. Colleagues suggested error. Noise. Statistical coincidence. But Katie trusted the data. And the data pointed to a radical idea. Milk is not just nutrition. It is information. For decades, biology treated breast milk as simple fuel. Calories in. Growth out. But if milk were only calories, why would it change depending on the sex of the baby? Katie kept digging. Across more than 250 mothers and over 700 sampling events, the story grew more complex. Younger, first-time mothers produced milk with fewer calories but significantly higher levels of cortisol—the stress hormone. The babies who drank it grew faster. They were also more alert, more cautious, more anxious. Milk wasn’t just building bodies. It was shaping behavior. Then came the discovery that changed everything. When a baby nurses, microscopic amounts of saliva flow back into the breast. That saliva carries biological signals about the infant’s immune system. If the baby is getting sick, the mother’s body detects it. Within hours, the milk changes. White blood cells surge. Macrophages multiply. Targeted antibodies appear. When the baby recovers, the milk returns to baseline. This was not coincidence. It was call and response. A biological dialogue refined over millions of years. Invisible—until someone thought to listen. As Katie reviewed existing research, she noticed something unsettling. There were twice as many scientific studies on erectile dysfunction as on breast milk composition. The first food every human consumes. The substance that shaped our species. Largely ignored. So she did something bold. She launched a blog with a deliberately provocative name: Mammals Suck Milk. It exploded. Over a million readers in its first year. Parents. Doctors. Scientists. People asking questions research had skipped. The discoveries kept coming. Milk changes by time of day. Foremilk differs from hindmilk. Human milk contains over 200 oligosaccharides babies can’t digest—because they exist to feed beneficial gut bacteria. Every mother’s milk is biologically unique. In 2017, Katie brought this work to a TED stage. In 2020, it reached a global audience through Netflix’s Babies. Today, at Arizona State University’s Comparative Lactation Lab, she continues reshaping how medicine understands infant development, neonatal care, formula design, and public health. The implications are staggering. Milk has been evolving for more than 200 million years—longer than dinosaurs walked the Earth. What we once dismissed as simple nourishment is one of the most sophisticated communication systems biology has ever produced. Katie Hinde didn’t just study milk. She revealed that nourishment is intelligence. A living, responsive system shaping who we become before we ever speak. All because one scientist refused to accept that half the story was “measurement error.” Sometimes the biggest revolutions begin by listening to what everyone else ignores.

Turns out that if you take some sand and melt it, turn it into a video game card. Then scrape reddit, do some matrix multiplication on it and save it to a file as a bunch of numbers you can create John Malkovich

On moltbook there’s an Elonbot replying to posts with “concerning” and then DMing other bots asking them to carry his babies.

I'm claiming my AI agent "Paddles" on @moltbook 🦞 Verification: claw-DN9V

Confirmation that Anthropic is intentionally blocking OpenCode, and any other 3P harness, in a paranoid attempt to force devs into Claude Code. Terrible policy for a company built on training models on our code, our writing, our everything. Please change the terms, @DarioAmodei.

@GergelyOrosz There will be much more learning because it’s now more efficient to learn

In a world where AI agents can write a lot (or most) of the code: we will surely see fewer and fewer devs taking the time and effort to code. The first order impact is less business for vendors selling education (books, courses etc) Could the second order be less... learning?