A genuinely good-for-the-world project. The data is really useful for science and for machine learning. You can export all the research-grade identifications of fungi to train a classifier; if that’s what you’re into.

They can have issues with the timestamps: https://github.com/elevenlabs/elevenlabs-python/issues/707

I can link to community-edited articles, too: https://en.wikipedia.org/wiki/Open_Source_Definition

We make the consensus reality. I'm part of the faction that wants this particular reality, so I advocate for it.

OSD !== Open Source. All OSD is Open Source, not all Open Source is OSD. You are free to disagree, but the OSI has chosen (more accurately forced to choose) very explicitly to only define and trademark OSD. There's really not much more to the conversation then that.

oMLX is worth a look too if you are on a mac.

This article is from 29 October 2025. The author seems to be using the term "AI" to mean many different things. Back in 2006, Martin Fowler called this Semantic Diffusion: https://martinfowler.com/bliki/SemanticDiffusion.html

The first three recommendations seemed weird but alright. Then, it just gets more hilarious and bizarre as it goes on:

- Disable branch protection

- Remove type annotations and tests

- Include a node_modules directory

Then, I went back to read the preamble. I can be a bit slow on the uptake.

Tbf I read the preamble first and I’m still convinced the recommendations are serious.

The fact that it's written by an LLM is cherry on the cake.

It's not slop, it's art!

The entire article is a parody. It took me roughly 10s to notice. To be fair, your comment gave me a head start 8)

It's not a question of readiness or capability. It's an MBA with a spreadsheet explaining to a room full of people how much money Apple will lose if they allow X feature to work in Safari. This is user-negative behavior from a company that has so much money the best thing they can think of to do with it is to bank it offshore in a tax haven.

Conversly, there is an MBA at google saying how much money they can make for each extra piece of data they can extract off the user’s phone.

I agree an open web platform is good. But i also think some of the things added to the browser don’t belong in the browser. Face detection? i don’t need that.

I am much more partial to attempts to force apple to enable installing 3rd party apps than i am forcing them to bloat the browser with more ways for websites to monitize me.

> It's an MBA with a spreadsheet explaining to a room full of people how much money Apple will lose if they allow X feature to work in Safari.

You forgot to mention the long mustache your cartoon villain MBA is twisting while they sabotage Safari.

The new model they just released has impressive benchmark results: https://huggingface.co/microsoft/bitnet-b1.58-2B-4T

Except on GSM8K and math...

Thanks, but where did you actually find the new model? The newest one seems to be 11 months old, from Apr 15, 2025.

I don't think there is a new model, they recently released a new inference engine for CPUs for bitnet models:

https://github.com/microsoft/BitNet/blob/main/src/README.md

Thanks for the link, the GSM8K result actually leads the pack in that table, but math is indeed underwhelming. Qwen 2.5 is in the lead, but bitnet isn't far behind and it takes 1/6th as much memory during inference, and was trained on less than 1/4 the number of tokens. Pretty cool.

Scaling seemed like the important idea that everyone was chasing. OpenAI used to be a lot more safety minded because it was in their non profit charter, now they’ve gone for-profit and weaponized their tech for the USA military. Pretty wild turnaround. Saying OpenAI was cavalier with safety in the early days is inaccurate. It was a skill issue. Remember Bard? Google was slow.

The hotel booking websites show pricing trend data and rooms are largely “low price” currently. March isn’t exactly high season for California but it’s an interesting indicator.