zenburnmyface

OpenAI is such a mess atm:

1. They created chat + work split in June / July, now they are combining them back later this year.

2. Their 28-days-of-shipping-or-reset was embarrassing. I think over half were resets.

3. They finally, right at the end, flip-flopped on 100/200/500 plan usage. Also, those names won't scale with inflation.

4. I see _eight_ (8!) models in my codex model selector.

5. _All_ their produce announcements (codex, chat, work, dots, agents) have the same messaging: "extra capabilities designed for long running tasks" - so which do I choose!?

I mean, I know it's a new technology and products are evolving, but...

tip: for suspected permutations, like use a string like "1234567"

Gatekeepers? Someone is pouring something into your ear.

Want to understand this more? Read the triplet of books by Ash and Gross, specially Elliptical Tales

of course you would include bitcoin in the latter, too, right? Right?

This is A+ satire

This is in that direction: https://jannesklaas.github.io/ai/2025/07/20/claude-code-agen...

Check out courses by David Beazley: https://www.dabeaz.com/

Lavingia should be ostracized from tech for this. What an embarrassment.

meh. I feel this is just a linguistic shortcut, similar to how _trained_ biologists can talk about a species or organism evolving some trait. Of course the organism isn't _really_ evolving with any goal in mind, but that's clear to the speaker and audience. Whether or not LLMs understand (very unlikely), it's clear what we mean by an LLM "understanding": has the context + prior training to make reasonable predictions. But no one wants to write that each time.

slop

None of these people have to deal with other people.

you're really showing your hand here...

Oldest commit was from today: https://github.com/sympy/sympy

Where are you getting 14 years from?

I've also taken David's compiler course, and it was excellent. I highly recommend taking any course he offers that interests you.

We are building micro-bioreactors on the Raspberry Pi. Yes, hardware is _hard_ (and fun!)

https://pioreactor.com/

Who said anything about low-income housing?

It’s call FBS, and it can be grown in a lab, too (if it’s even required…). See companies like Future Fields.