jey

I'm not a mathematician, but I don't think that's true..? It's just that some problems are considered "hard" or known to have been "open" for a long time or that involve some clever/pioneering new technique. There's tons of math papers out there that are in some technical sense a novel contribution but in practice just languish without much attention except maybe from like two other people working in the same subfield.

Emojis don't even render the same on every platform

This is a feature, not a bug. That it's using your platform-specific emojis makes it easier to scan, since it's the ideograms you are already accustomed to. Much faster to scan familiar symbols than to read each section heading serially.

Relevant: The Breakfast Simplex (https://moultano.wordpress.com/2026/02/22/the-hunt-for-dark-...)

I thought other reporting claimed that a ground handling truck crashed into the door, thereby detaching it?

I'm not convinced this is a problem. For example, all the folks who developed convex analysis for its pure geometric and mathematical beauty in the land of pure Platonic forms, well their work was still useful downstream for all of us doing convex optimization and dealing with log-concave probability distributions. So no harm, no foul.

Try the textbook Elements of Information Theory by Cover and Thomas (2006)

It targets x86-64/ELF? I thought it would target `sh` to be portable?

That doesn't really explain anything biologically. Just vaguely says "potentially helps heal and protect"

What does the stem cell treatment help with beyond the existing fetal surgery? Since it's in addition to the usual surgical treatment

And I would further add: In addition to performance, Julia's language and semantics are much more ergonomic and natural for mathematical and algorithmic code. Even linear algebra in Python is syntactically painful. (Yes, they added the "@" operator for matmul, but this is still true).

I wonder if there's a law+econ analysis of comparing the current framework (regulations and upfront permitting) vs having the regulations but then enforcement via combination of randomized gov't inspections and private lawsuits. The motivation would be to allow things to move faster while also requiring the same degree of compliance, but without the massive red tape upfront with administrators having no real incentive to approve projects or move fast. One obvious downside is that it effectively creates an economic incentive to try and skirt the law and/or find loopholes, but that arguably exists to the same degree in the existing system.

(2014)

This seems to be the English landing page: https://github.com/Leading-AI-IO/palantir-ontology-strategy/...

have you tried vim or neovim?

lmao okay, touché. I did not realize it had servo as a dependency.

I don't think the point was to say "look, AI can just take care of writing a browser now". I think it was to show just how far the tools have come. It's not meant to be production quality, it's meant to be an impressive demo of the state of AI coding. Showing how far it can be taken without completely falling over.

EDIT: I retract my claim. I didn't realize this had servo as a dependency.

Dan Romik has a nice intro on the moving sofa problem: https://www.math.ucdavis.edu/~romik/movingsofa/

Yeah maybe time to send a sample to the “mass spec everything” guy

Here's a less editorialized article from Reuters: https://www.reuters.com/business/finance/banks-tap-record-li...

That makes sense, but how do you efficiently evaluate the Gaussian kernel based approach (“operator-based data structures (OBDS)”)? Presumably you want to do it in a way that keeps a dynamically updating data structure instead of computing a low rank approximation to the kernel etc? In my understanding the upside of the kNN based approaches are fast querying and ability to dynamically insert additional vectors..?

When I ran this program, I expected the `CF_OEM­TEXT` string to have the byte 44, but it didn’t. It had the byte 90. We will start unraveling this mystery next time.

Whoa there exists something Raymond Chen didn’t know about Windows core APIs?

This seems to be incorporated into current LLM generations already -- when code execution is enabled both GPT-5.x and Claude 4.x automatically seem to execute Python code to help with reasoning steps.

And the person who did the implementation, Lyapsus, did it without access to the hardware?? https://github.com/nadimkobeissi/16iax10h-linux-sound-saga/i...

Anyone have a link to the patch in uutils? Curious to see that the problem and solution were.

Get two subscriptions if it's delivering that much value and you hit the limits?

Greenland is an “autonomous territory” of Denmark

I think it’s feasible because of their token prefix prompt caching, available to everyone via API: https://docs.anthropic.com/en/docs/build-with-claude/prompt-...

I’m pretty sure you are supposed to declare agricultural products at customs. Sure, if the apples are cooked into a pie that’s probably fine but I believe most countries don’t let people bring in fresh fruit because of the possibility that some pest (insect, fungus) could be hitching a ride on it.

That the annotation applies to variables and not types is surely an oversight or mistake right? Seems like it could have been easier to initially implement that way but it just doesn’t seem to fit with how C type system works. (Yes it will make declarations uglier to do it on types but that ship has sailed long ago; see cdecl.org)

Try Claude Code. It’s perfect for this type of use case.