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I see a great future for Firefox.

Chrome: unilaterally disables uBlock Origin

Mozilla response: mess around with Firefox's privacy notice in such a way that it generates _negative_ press

Potential future Chrome: gets bought by OpenAI

Estimated future Mozilla response: "every time a user installs Firefox, a healthy tree is chopped down, the wood is used to create bats with the user's name engraved on them, and the bats are used to hit endangered animals"


I love Firefox but Mozilla seems determined to self-sabotage itself. it is painful to watch

Mozilla will quite literally die if the demands of the judge get satisfied - https://blog.mozilla.org/en/mozilla/internet-policy/mozilla-....

So I guess the last resort for people who don't want to surrender to the Big Tech will be niche hard forks of Firefox, of which there are 3 - Pale Moon, Basilisk and SeaMonkey.


Very clever idea! This was fun!

The Guardian's article on this[1] includes a quote from an eminent colour expert at City:

> The claim left one expert bemused. “It is not a new colour,” said John Barbur, a vision scientist at City St George’s, University of London. “It’s a more saturated green that can only be produced in a subject with normal red-green chromatic mechanism when the only input comes from M cones.” The work, he said, had “limited value”.

[1] https://www.theguardian.com/science/2025/apr/18/scientists-c...


identifying and shining light only on specific type of cells on retina through the iris is of limited value? I personally didn't know we even have that kind of precision.

It's just a typical response. What he means (in an admittedly unnecessary, snarky way) is that this is not going to revolutionise perceptual colour science. It's not going to be an out-of-this-world experience, nor will it change our understanding of how humans perceive colour. I personally think it's pretty cool, though.

Agreed; that and the fact that it can be programmatic is either the major result or one of two. The title of the paper is,

Novel color via stimulation of individual photoreceptors at population scale

And they say, These results are proof-of-principle for programmable control over individual photoreceptors at population scale.


I can agree to the license, download the weights, and send them to you. Now you have the weights without ever agreeing to the license. Code is different because it's copyrighted.

Came here to say this. I don't get why this is necessary at all - it's literaly just bog-standard scrolling content?

Boss on Windows with a click-wheel mouse: "Make the scrolling smoother"

Devs: "It's because of your--"

Boss: "Other sites do it. Get on it."


I'm convinced most "designers" in big tech are just trolling at this point.

It’s akin to fashion designers sending models out in burlap sacks.

So, is this government data from Afghanistan, Albania, Algeria, or Andorra? There are more than 190 countries - I think you need to be a bit more specific.

It’s U.S. data as per the title - but our goal is to integrate datasets from every country to make it comprehensive, no matter what you’re looking for

> But what if we could compile Python into raw native code?

Am I missing something or has that been possible for at least 20 years?


I'm with you. I thought this was going to be an article about Numba.


I think a more pedantic way to describe what I mean is:

"What if we could compile Python into raw native code *without having a Python interpreter*?"

The key distinguishing feature of this compiler is being able to make standalone, cross-platform native binaries from Python code. Numba will fallback to using the Python interpreter for code that it can't jit.


This is akin to re-implementing the complete language.

Writing programming languages before AI was bit of a daunting task ; now it's way easier to grasp a first good principles and dive trough ; would still take time to get something production ready ; but that's definitely something that could happen


Spot on!

The majority of the innovation here is in building enough rails (specifically around lowering Python's language features to native code) so that LLM codegen can help you transform any Python code into equivalent native code (C++ and Rust in our case).


> It serves data from individual arrivals boards, which all spell stations differently

It doesn't, at least not for most lines. TfL's data is notoriously inconsistent, with multiple backends used for different purposes. For most lines, the dot matrix indicators are fed by the signalling system and timetables (more modern signaling systems are timetable-aware). Meanwhile, the online API relies on estimates from TfL's TrackerNet.


You've clearly never have been on the London Underground - none of the deep level lines currenlty have air conditioning and yet they are getting hotter every year.


Laws around protests here in the UK are certainly problematic, but I haven't heard of ant cases where this would have been specifically used against students from abroad.


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