skysight-inc/HackerNews huggingface dataset:
While I think big tech needs to be controlled, I think this is the wrong approach.

This will slow down development by being forced to implement interop where they shouldn't be forced to IMO, and will confuse less savvy users (e.g. "Why can't I send this
$platform_native_content to Bob but can send perfectly to Alice in the same app?").

Controlling entities' presence within the public (the Internet) is one thing, forcing to do things within their own platform/domain is another.

Sadly, EU picked the latter.
I'd go as far as to say that these failings started in proprietary software, hyped, marketed and then copied by FLOSS.
By your own argument, foreign companies can navigate the rules for selling into Europe just fine - so what is stopping a European company from doing the same?

If there is any remaining problem it is that the rules are not enforced strictly enough on tech giants.
I do the exact same thing. Listen to the lectures, they are fun and engaging and at some point I doze off.
Manipulating source code via regex... I wonder what could possibly go wrong.
This is definitely a very cool tech demo, but I got the same feeling reading this as I do when I read a blog post years ago where a guy walked through using very rigid green-red-green TDD to solve a hairy algorithmic problem[0]: it sort of seems like the person already had the shape of the solution in their head before they started writing the code.

Which is maybe the point! As the article points out, remembering the correct incantation to get matplotlib to spit out a bar chart is hard[1]; I certainly have to look it up literally every time (well, these days, I just use tools which have more intuitive APIs, but that's maybe besides the point). I don't really know what it means to "binarize" a dataset, but apparently the language model did, and apparently seeing the giant stack trace when trying to plot a precision-recall curve was enough to prompt the article writer to realize such an operation might be useful. When you're doing exploratory analysis like this, keeping a train of thought going is extremely important, so avoiding paging back and forth to the scikit-learn documentation is obviously a huge win.

But, on the other hand, this isn't a "no-code" solution in any real sense, because for all intents and purposes the author really did all the difficult parts which would've been necessary for a "fully coded" solution: they knew the technical outcome they wanted and had very good domain knowledge to guide the solution, and, shoot, they still ended up needing to understand semantics of the programming language and abstractions they were working with in that stacktrace at the end. It's still extremely neat (and, presumably, useful) to see the computer was able to correctly guess at all the syntax and API interfaces for the most part[2], but I don't really think you can fault people for wanting to push back against the idea that this is somehow fundamentally transformative, since I think it's pretty obvious that the human is (still) doing the hard and interesting parts and the computer is (still) doing the tedious and boring parts. Maybe people shouldn't be getting flustered about a click-baity title over-promising a hip new technology, but as you say:

> Or is it just years and years of people getting burned by previous "AI" projects without knowing that this one is actually rather impressive and comes from good research?

There's definitely some of this.

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[0] I wish I could find the link for this, but I'm very bad at google these days.

[1] To risk ascribing agency to a statistical model of github commits, it is sort of funny that the co-pilot pulled in seaborn as a dependency but then did everything directly with calls to plt and DataFrame.plot.

[2] I don't really have the expertise myself to tell you whether that scikit pipeline is at all reasonable, I suppose. It sure sounds fancy, though.
>Dumb money is not the basis for the web as we know it.

It's not, but it's the basis of ad-driven, surveillance-ware, and user engagement optimized companies that drive the ludicrously high profits and wages in the US tech sector.

Do you see US tech workers lining up to work for Canonical? Yeah, I thought so too.
10 years ago Macklemore did exactly that. I'm not aware of anyone repeating the feat since
Eksctl – The Official CLI for Amazon EKS
That would be Ignaz Semmelweiss.
I think you are understating his actual life outcome for having challenged the medical establishment with hard proof.

Poor doesn't begin to describe it.

https://en.wikipedia.org/wiki/Ignaz_Semmelweiss
https://archive.ph/ep1dC
That sounds very theoretical. I witness the journey of several German startups for a while now and get a very different picture.

Many of the most powerful web tools are not compatible with the GDPR. Google Analytics. Ad marketplaces. Free CDNs. And its all a moving target. I see small companies struggling for years now with these problems. And they will keep struggling for the forseeable future.
By then Microsoft will have moved on to the next bit of Apple envy and it will all be out of sync again.
Wow I can't believe there is a website as straightforward as this in 2022
So, you mean "Fediverse" ;)

https://wikiless.org/wiki/Fediverse?lang=en
I'm not so sure the costs of running a university are going up. Here is expenditure data from the ed department:

https://nces.ed.gov/programs/digest/d20/tables/dt20_334.10.a...

Expenditure per full-time-equivalent student in constant 2019-20 dollars is up about 10% over a decade in the instructional and student services categories. That's not that much. (The total number is going up, driven by costs in hospital services, mostly)
100% what I came here to say. My film camera restricts me from checking each photo instantly, keeps other people from checking each photo ("Show me! Do I look good in that? Take another one") or from sharing online.

As an added bonus, I get to relive my trip a few weeks later when I get my films back from the lab.

I have to add that I don't think any of my films were ever destroyed by an airport scanner.
There is an amazing video by Destin from Smarter Every Day about the Moon Samples Lab https://www.youtube.com/watch?v=QxZ_iPldGtI&t=647s
That's interesting - haven't heard of that issue before, so do please create an issue on github or let me know if you figure it out ;)
I get your take, but I somewhat disagree. I have just come back from a 2+ week trip to Italy and every day I had my camera glued to my hand. Looking a the world with the desire to capture the shots allows you to see the environment in different way. You see the lighting, angles, details, emotions etc that I'm honestly not sure I would see otherwise. The nature or even the number of photos don't matter, but I love taking photos as a way of "absorbing it all".
> Yes, but specific implementation aren't.

You can make a new implementations of TBDR renderers without paying anyone.

> I was replying specifically about IP. And the context of Apple not using IMG's IP. Which was "never" the case. As pointed out by IMG’s CEO in 2019 before the 2020 IP renewal.

The point is that the patents (ie. the IP that would matter in this case) have expired for TBDR, despite your claim "We are argue whether Apple needs to pay for Tile based deferred rendering ( You can search the term mentioned on Apple's Dev Reference document ) to IMG, since relevant IP could be obtained with ARM. ( Arguably with cross patent argument with IMG, but anyway let's ignore that )." No cross patent agreements are necessary.