Ethan

gt;dr

(great title; didn’t read)

you and me both claude

Blog: “Socialize the Plan” . On AI and Code Review - laughingmeme.org/2026/03/05/s...

screenshot of a legend saying PENDING_NODE_ASSIGNMENT RUNNING FINISHED

the 3 stages of life

Or maybe that’s deploying without looking at the agent’s code

Proposal to call STT vibe-coding from your phone “no-scoping”

Exploring the AI Obedience: Why is Generating a Pure Color Image Harder than CyberPunk?

Hongyu Li, Kuan Liu, Yuan Chen, Juntao Hu, Huimin Lu, Guanjie Chen, Xue Liu, Guangming Lu, Hong Huang

tl;dr: Flux and NanoBanana fail at precise color filling.
arxiv.org/abs/2603.00166

If only, that’s the 2013 price!

100%

I still have yet to live in an apartment with any of these after 17 years here

NYC apartment amenities that shouldn’t be:

Ice maker
Garbage disposal
Bathroom fan

Finally, we can get some money for AI.
Oh wait openai.com/index/scalin...

lol

Exceeds expectations

Exceeds expectations

When I was there, every team’s annual plan would always get scoped down due to headcount constraints. There was no lack of ambition for things to build. But all of a sudden you get a magic productivity wand and stick with the same scope? Very smelly

What smells of bullshit is the fact that you’d expect companies to do more things with their newfound productivity rather than cut staff and maintain the same supposed output.

A Krispy Kreme box that says crocs

The perfect crossover doesn’t exist-

Congrats…? Or not, since you’re left holding the bag. Either way, what a mess 😕

Insane. Hope you’re ok

Yup and yup. And my guess is that the first refactor (moving imports inside functions) will make the second refactor to lazy syntax even easier

Reducing large library import time is a nice task for claude code (or at least it will be until pep-810 lands peps.python.org/pep-0810/)

Sizing chaos The inter-generational struggle to find clothes that fit more than a tiny portion of women

This data viz is incredible (as per usual for them) pudding.cool/2026/02/wome...

It also brought me back to my days at Dia&Co, struggling to algorithmically get sizing and body shape right.

Everybody who has worked at an OSS company should start charging a bunch of money to consult on business models

Maybe AI is less about software companies having no moat and more like they’re all now open source companies.

A grill and a table on a balcony with a light dusting of snow

A grill and a table on a balcony with a half inch of snow

A grill and a table on a balcony with like a foot of snow

Solid snow progress

That’s the same hospital boat sent, with great fanfare, to NYC during the pandemic (that ended up doing nothing).

It’s like when they reuse parts of an old movie set on a new production.

Delivery fee This fee covers delivery-related costs for the restaurant and is based in part on the delivery location you provided. THIS PRICE WAS SET BY AN ALGORITHM USING YOUR PERSONAL DATA. Got it

My first time coming across the new NY law requiring this disclosure.

If this GrubHub delivery fee only uses my location, then I get it, and the disclosure makes it sound more nefarious than it actually is.

If the delivery fee uses other data, like my proclivity to tip, then this is pretty suss.

Memorization vs. generalization in deep learning: implicit biases, benign overfitting, and more Or: how I learned to stop worrying and love the memorization

What is the relationship between memorization and generalization in AI? Is there a fundamental tradeoff? In infinitefaculty.substack.com/p/memorizati... I’ve reviewed some of the evolving perspectives on memorization & generalization in machine learning, from classic perspectives through LLMs.