ivirshup

I think those are both different in that they require the user to say they trust this code. Additionally the first is arguably not a bug (the code in tasks.json will indeed run if you say you trust the project) and the second was reported and fixed within two months.

Asking a colleague to do it?

People at my company have started writing docs specifically for claude. They're quite useful for me too, but kinda disappointing they never wrote these docs for their colleagues.

The issue is misrepresenting the situation.

One of those operations makes a row-major array, the other makes a col-major array. Downstream functions will have different performance based on which is passed.

I've heard that now that AI conferences are starting to check for hallucinated references, rejection rates are going up significantly. See also the Neurips hallucinated references kerfuffle [1]

[1]: https://statmodeling.stat.columbia.edu/2026/01/26/machine-le...

Since Steve's famous turtle neck was from Issey Miyake and he wanted everyone at Apple to wear an Issey Miyake vest as a uniform [1], I think he might have been into this. This is also the man who launched the iPod sock.

[1]: https://www.npr.org/2022/08/10/1116769827/the-story-of-steve...

Issey Miyake's "Pleats Please" line has always been made out of synthetics. It was an intentional choice due to the character of polyester as a fabric, like it's ability to hold the pleats while still being machine washable.

https://asufidmmuseum.asu.edu/learn/articles/issey-miyake-pl...

I think there are backup systems. I sometimes walk by the Cloudflare SF offices on weekends and it looks like the lava lamps are off.

Not defending them, the Hitler laptop thing seems bad, but within Germany torchwalks are pretty normal and not Nazi associated. For example, there was one as part of a ceremony honoring Merkel as she left office.

But the majority of Singaporeans live in public housing where rent is adjusted for income based via a grant system?

I don't think it makes money yet.

They've said the eventual plan is services [1].

[1]: https://astral.sh/blog/announcing-astral-the-company-behind-...

It parallelizes downloads and checking of the packages.

It also doesn't compile .py files to .pyc at install time by default, but that just defers the cost to first import.

> what has been the point of anaconda since binary wheels became a thing?

When you need python + R + some linked or CLI binary in an isolated environment. Also you will use the same tool to manage this environment across multiple OSs (e.g. no OS specific `apt`, `brew`, etc).

Guess they shoulda spent some of those ticket fees on a security team.

I was thinking more about timescale.

If someone smokes a joint near your window, that smell will probably be gone in half an hour. If there is a plant that's just sitting there, it'll be more subtle, but it's not going anywhere.

That said – many people like the smell of Hopfentee (Hop tea), which is pretty similar.

Most Germans live in apartments, and rent. The growing and processing does produce strong odors, which a landlord/ neighbors may not approve of.

Even bigger now that their distribution is integrated in Excel[1]

[1]: https://www.anaconda.com/blog/announcing-python-in-excel-nex...

From their demonstration videos, I don’t think Tesla has proven particularly adept at detecting pedestrians.

And I don’t know that they’ve shown this for pedestrians on the pedestrian path, at distance, at night.

I assume because it can be a little hard to navigate and doesn't have as polished a UI.

But also you can actually pick up a conversation from a month ago, so is infinitely better.

That was my impression trying it this year

Love this tool. Invaluable for figuring out what code actually got called after complicated dispatch.

Hey, that's not a fair assessment.

It would also dump greenhouse gasses into the atmosphere.

Anaconda distributions aren't exactly small. I'd also assume there's some sort of environment isolation, so you're getting multiple copies. Maybe one per workbook?

kNN methods are broadly not O(n^2)[1], especially in practice where approximate methods are used.

[1]: https://en.wikipedia.org/wiki/Nearest_neighbor_search

> big acquisitions that, in hindsight, made Big Tech more competitive (the most common examples are Google acquiring DoubleClick and YouTube, and Facebook acquiring WhatsApp and Instagram).

How did these acquisitions make big tech more competitive?

> Most elevators (at least in NYC) start at floor 1, not 0.

European buildings are generally 0-indexed: https://en.wikipedia.org/wiki/Storey#Numbering

Currently living in Munich, it is the quietest place I ever lived. Also super clean, like more than Singapore.

ibis in python is a really nice middle ground. Nice API + in a programming language, but executes on database backends (which could be polars or duckdb on in memory arrow tables).

> it's really solving the problems that hurt AI most

Isn't this a bit premature? Mojo doesn't tangibly exist for most people (we can't run it ourselves), and I am unaware of any ML/ AI applications built with Mojo.

Is there a description of what exactly an organizational account entails?