skysight-inc/HackerNews huggingface dataset:
This whole AI learns like a human is trajectory of thought pushed by AI companies. They at same time try to humanize AI (it learns like a human would) and dehumanize humans (humans are stochastic parrots anyway). It's if anything a distraction if not straight up anti-human.

But you are right that copyright is complex and in the end decided by human (often in court). Consider how code infringement is not about code itself but about what it does. If you saw somewhat original implementation of something and then you rewrite it in different language by yourself there is high chance its still copyright infringement.

On the other hand with images and art it's even more about cultural context. For example works of pop artists like Andy Warhol are for sure original works (even though some of it was disputed recently in court and lost). Nobody considers Andy Warhols work unoriginal even if it often looks very similar to some output it was riffing off because the essence is different to the original.

Compare that to pepople prompting directly with name of artist they want to replicate. This in direct copyright infringement in both essence and intention no matter the resulting image. Also it's different to when human would want to replicate some artist style because humans can't do it 100% even if they want to. There is still piece of their "essence". There are many people who try to fake some famous artist style and sell it as real thing and simply can't do it. This is of course copyright infringement because of the intent but it's more original work than anything coming from LLMs.
No-Code IDE for Quantum Computing
> The steam deck only has flash storage tho....

> Until I see actual benchmarks I remain sceptical.

AFAIK flash storage speed is inverse proportional with free space.
It 100% is a limiting factor, weather conditions and crazy roads/poor infra will definitely impact self driving cars, idk how it could not be a factor... Go drive in eastern Europe after a snow storm, you miss one snow covered sign and end up on the wrong side of a high speed road, &c.

It's like learning to code in JS on a 2024 MacBook pro and thinking you can "just" transfer your skills to cobol on 1970s hardware because both are "programming"
Lovable has been suspended to connect to GitHub
I wonder if there is a case for the users who purchased items thinking they were supporting creators but instead were not. Doesn't look like this specific class action is that.
Wake up at 03:00.
Have coffee, read news.
Bathroom, brush teeth, get workout gear on.
Workout for ~2 hours - either a run or a ride. Normally alternating days. 03:30
Shower, get dressed.
Eat breakfast.
06:30 Off to work to read HN!
The only proper way to code with an LLM is to run its code, give it feedback on what's working and what isn't, and reiterate how it should. Then repeat.

The problem with automating it is that the number of environments you'd need to support to actually run arbitrary code with is practically infinite, and with local dependencies genuinely impossible unless there's direct integration, which means running it on your machine. And that means giving an opaque service full access to your environment. Or at best, a local model that's still a binary blob capable of outputting virtually anything, but at least it won't spy on you.
> Enshitification is killing Microsoft, Google, Netflix, Facebook, and more

Based on what metric?
And cause health problems, acid rains and much more. It is not a solution.

With complex systems touching a variable impacts a lot of places, something that may become obvious in hindsight. Undoing how we triggered climate change, that is first drastically reducing emissions and then capturing the excess of greenhouse gases, looks like a less disruptive way to effectively solve the problem.
Good points. I do feel like the current laws are still insufficient, and will ultimately fail due to the corporate control of the internet/governments. More drastic solutions are probably needed. Much better anti-trust laws perhaps to combat the excessive power of big tech, maybe.
>content creators out there actually looking out and fighting against this BS

Maybe they should have looked out before taking advertisement deals for products they don't even try to understand.

The only reason all of the "content creator" (influencer would be more fitting) care about this, is for once the product screw over them instead of there audience (just look at betterhelp).
Pay me to tell you what to do with your life.
>From whom?

From any of the IP vendors offering them.

e.g. Tenstorrent has Ascalon (already licensed by LG) and Alastor, SiFive has P670 and P870, Akeana has the 5000 series.
Why is that? Can you provide a source? (Not distrusting you, but it would be great to have a source because I'm a writer and interested in writing about these things.)
If I buy by credit card I am already protected. So what am I paying eBay for?
Good, not great. The Market is still terrible.
Any LLM-coding agent that doesn't work inside the same environment as the developer will be a dead end or a toy.

I use ChatGPT to ask for code examples or sketching out pieces of code, but it's just not going to be nearly as good as anything in an IDE. And once it runs in the IDE then it has access to what it needs to be in a feedback loop with itself. The user doesn't need to see any intermediate steps that you would do with a chatbot where you say "The code compiles but fails two tests what should I do?"
Antitrust laws in US rarely works. I have no idea if the problem is bad law or bad enforcement, but the results are bad.
Much as I hate to admit it I can relate to this. When you come onto a new project, the first thing you notice are all of the things that could be improved. But most seasoned developers know that knocking down walls right away violates the whole Chesterton's Fence[1] thing and so you make restrained changes and small commits while learning the system. A few years on when you finally have the mental model and understanding to make the changes... you don't see the inefficiencies anymore. I don't know how to square this circle.

[1]: https://theknowledge.io/chestertons-fence-explained/
OpenAI is moving in that direction. The Canvas mode of ChatGPT can now runs its own python in a WASM interpreter, client side, and interpret results. They also have a server-side VM sandboxed code interpreter mode.

There are a lot of things that people ask LLMs to do, often in a "gotcha" type context, that would be best served by it actually generating code to solve the problem rather than just endlessly making more parameter/more layer models. Math questions, data analysis questions, etc. We're getting there.
For many types of code writing it is much easier than reading it unfortunately.
No, they deliberately chose a topic they had absolutely no interest in, to try and avoid confirmation bias. It’s not impossible that what you describe is actually what happened to an extent though, a lot of the recommendations and ads on FB do seem to have a “what people around you / in your network like” factor.
That's a bit like saying the drawback of a database is that it doesn't render UIs for end-users, they are two different layers of your stack, just like evaluation of code and generation of text should be.
The Information Commissioner
> There are probably edge cases this code solves that we don’t remember.

Oh yeah, I agree with that. I wrote a program for work recently that probably should have been object-oriented. It would have been nice for it to be, because it's a bit of a mess now. But it works flawlessly and in truth it doesn't need any real feature upgrades now that it's done. So, I decided to keep it as it is.
This gives me an idea. I'm going to create a super complex and unintuitive programming language where the only error message you get is "no", and call it miniKaren. :-P
I do line of business apps right now.

It seems to me that we have the abstraction inverted when it comes to ORMs, which is why so many experienced devs dont like ORMs (but can't really articulate why).

Here's my take, in the context of business logic:

The schema represents the business rules. The ORM papers over the DB so that the code doesn't have to match the business rules. Then the dev implements those rules again in code, but poorly.

If you simply skip the programming language using something like Postgrest you end up with a declarative structure of the business rules.

The first problem is that most developers would rather hunt a bug or perform a modification on a 30k Java or C# or python or ruby program than in 5k of SQL.

The next problem is that tooling for SQL is crap. It's declarative so good luck stepping through the logic. The dialects are all different so editors aren't great at spotting errors.

The last major problem is that changing it is hard - you can't simply change the schema and redeploy because migrations have to be made on the existing data.

All of these are surmountable in some ways, but they certainly ain't easy.

Doing LoB apps have opened my eyes a lot: maybe 99% of logic is shorter when expressed in SQL. Of course, that means that the only use of an ORM in this case is connecting to the DB, sending the query, and sending back results.
Great, considering the project does not end at V3, and V3 is already competitive.

They will continue to improve the performance.
Which would be relevant for all application not just flatpak.
Prepare to be impressed then, because 2025 emissions are expected to be lower than 2024 emissions.
Women in tech earn more but represent 21% of workforce – report
That's uncalled for. Security issues are quickly fixed and released in iTerm2. The dev is responsive to feedback, even to hostile Mastodon trolls brigading the issue tracker [1].

Please don't be like that.

Also, any serious software has its own share of problems. Have you actually looked at the issue tracker for your supposed champion?

[1]: https://news.ycombinator.com/item?id=40657890
> OTOH, if I had F.U. money, I would do those things and more

I get what you mean, but having enough not to work is the definition of FU money. It means you can just drop your things and leave when the boss demands you something you're not willing to do.
Found this: an Instagram account made by Meta AI

https://www.instagram.com/himamaliv
The whole of it is sad...I mean, that fact that all of us beginning at a certain age need to begin to activate some life hacks is sad in so many ways. I wonder also, what did our peers 1 or 2 or 3 generations ago do at a certain point in their life to cope against ageism...assuming ageism was even a pronounced thing? (I say "pronounced" because i assume there has always been a thing of kicking the older folks to the pasture, but not sure if it was the same as nowadays.) /sigh
Nope. His motivations are capitalstic in nature and his idol is Elon Musk.

He doesn't care to help people or getting into robotics because he is interested in it.

He doesn't have a real deep relationship with someone to share his live with (he mentions his ex-girlfriend).

He is the type of human being who got lucky rich, but doesn't realize he is empty inside. Elon Musk is even worse.

Captialism as an endgoal for society doesn't bring us any closer to a Star Trek future and there are probably a Billion happier but a lot poorer people ou tthere than him.

He doesn't want to spend his time on it because his capitalistic thinking is so narrow that he doesn't care about the things which are already around him.

When you read the last thing from him " It’s the only thing that feels authentic." even his 'just learning physics' is not even authentic. He doesn't do it for being curious, he does it to " I can start a company that manufactures real world things. "

And the only interesting thing about this blog post, which i will forget tomorrow, is because we tent to like to read things which are more rare than others. There was not much insight or brilliance in his live at all.
Sometimes I'm editing the wrong file, let's say a JS file. I reload the page, and nothing changes. I continue to clean up the file to an absurd amount of cleanliness, also fixing bugs while at it.

When I then notice that this is really does not make any sense, I check what else it could be and end up noticing that I've been improving the wrong file all along. What then surprises me the most is that I cleaned it up just by reading it through, thinking about the code, fixing bugs, all without executing it.

I guess LLMs can do that as well?
That's a sound theory. I'm a fairly staunch atheist so do believe both are equally absurd. Even with that frame though it's easy to acknowledge community that forms around (most) religion serves to align group behaviour. This can be both good or bad depending on what those behaviours are in a larger social context.

You still get similar community in a lot of alternative spirituality / occult practices but from slices of that community I've been exposed to it does focus much more on personal exploration and opens the door to the recursive degeneration that may lead to.
>"They are actually destroying themselves. Enshitification is killing Microsoft, Google, Netflix, Facebook, and more."

On what Earth? Enshittification is killing us. Big corps are doing just fine bending masses to their will.

>"Just build solid alternatives focused on user satisfaction instead of profit so people have viable alternatives."

Easy peasy. I'll just change human nature, borrow couple of trillions from my buddy and it is all done.

>"You can't build anything great from scratch in less than 10 years."

Suddenly I see a big optimist on HN
I don't really think so. Anti-trust law is outdated. It may have worked for the static sort of corporation that produces stuff like a tire factory, but it doesn't work well for tech corporations. They evolve too fast, and by the time anti-trust gets around to it and the court case is done, the damage is done.

We need a whole new set of laws of technology that go beyond the feeble anti-trust laws we have today.
My takeaway and also personal experience is that you get the best results is that you co-develop with the LLM.

- write a simple prompt that explains in detail the wanted outcome.

- look at the result, run it and ask it how it can improve.

- tell it what to improve

- tell it to make a benchmark and unit test

- run it each time and see what is wrong or can be improved.
> Biden administration are the very same people who pressured social media companies into censorship[1

Your link indicates that Twitter/affiliates donated money to Democrats (which is of course trivial to understand why - tech company from the Bay Area, of course most of its employees will slant progressive), not that "Biden pressured social media companies into censorship". Care to provide a real source for your conspiracy theory? And weren't there investigations by republicans in Congress that found nothing wrong in the whole laptop story? Why are you still stuck on it?
I believe that Claude has been running JavaScript code for itself for a bit now[1]. I could have sworn it also runs Python code, but I cannot find any post concretely describing it. I've seen it "iterate" on code by itself a few times now, where it will run a script, maybe run into an error, and instantly re-write it to fix that error.

[1]: https://www.anthropic.com/news/analysis-tool
Don't they? It highly depends on the errors. Could range from anything like a simple syntax error to a library version mismatch or functionality deprecation that requires some genuine work to resolve and would require at least some opinion input from the user.

Furthermore LLMs make those kinds of "simple" errors less and less, especially if the environment is well defined. "Write a python script" can go horribly wrong, but "Write a python 3.10 script" is most likely gonna run fine but have semantic issues where it made assumptions about the problem because the instructions were vague. Performance should increase with more user input, not less.
Fingerprinting is done client-side using browser APIs e.g. WebMidi.

The fingerprint is then associated with a user's email address or login identifier and then sent either client-side or these days server-side to Google Ads.
Yep the DOGE thing was crazy fucked up. You worded it very nicely.
It’s definitely a difficult one to test in a scientific way. But they 100% had no interest in pool fencing, living long-term in a rental townhouse. They chose the phrase specifically to be something they had no interest or search history in.
How Saffron, a Precious Import, Became an American Cash Crop
A fact checker being wrong? How is that possible!!!
You get what you put up with.

Not trying to justify this but rather state it plainly for those still scratching their heads over such behavior.

Is this actually a surprise, or even news, really, to anyone here?

Ownership is a thing of the past. It doesn't have to be but when I suggest alternatives people say it's "impractical" for them but then act all surprised pikachu when it turns out they're totally beholden to what some billionaire thinks is best...

Oh well.
I travel for work and download travel apps before I leave. Some of them refuse to work because I still haven't left home, telling me things like "you need to register before you [...] no you can't register yet". That really sucks.
Yes, since sage 10.4 onwards, native installation on windows is not supported.
> George posted a fix in a short period of time

No, the issue had been reported on their bug tracker twice (and closed twice) in the two years prior to their response in the thread. It took a loud enough crowd to convince them it was an issue, even though the original reports described the security implications.

https://gitlab.com/gnachman/iterm2/-/issues/3688 and then https://gitlab.com/gnachman/iterm2/-/issues/5303

Still,

> Sounds like a decent person who cares about his users.

Agreed!
> I mean search and other online stuff has been enshitified way before gpt3 was released.

I don’t know how many more times this argument needs to be made, but degree matters. It’s like someone complained about semi-automatic weapons and the answer was “people were killed with knives before”. Yeah, but certain tools make certain actions easier, simpler, and more prevalent at scale. So they happen more. This isn’t a hard concept.

> but a lot of the arguments seem to be confusing.

> Like, AI has been a thing for a very long time.

No one is confused. Yes, AI is a bad term for LLMs and image generation, but that term was overloaded by OpenAI and unfortunately we’re now stuck with it for the near term. We have to use words that people understand. They could’ve called it Pipicaca and we would still have to use the term, regardless of how bad or inaccurate it is, if it had stuck. People who don’t understand that and try to force their own specific terms on every conversation are the confused ones. If you want to be understood, you have to speak in a way people understand you.
https://archive.ph/hz2Hm
Any reading recommendations for exploring this further?
Not if they can use an obfuscator?
If you only have a vague idea of what the product will be (or at least what the real problem to solve is) and you don't have any potential buyers to talk to then you really shouldn't be writing a single line of code at all. You should be building your network and experience so that you do understand those things, then you go and build an MVP. So many developers fall into this trap.

I always recommend the book The Mom Test to would-be entrepreneurs. It goes into more detail on why asking people if they will buy something is worthless (as you mentioned), and how you can ask much better questions to find and validate problems worth solving.
Dear ChatGPT: please help me construct a HN posting that's purportedly about a rich guy at loose ends trying to figure out what to do since that's guaranteed to tickle most peoples' fancy, but ensure that the payload paints a favorable picture of the DOGE since that's actually the motivation for the posting.
<< I’m not afraid to be judgmental

Is there any single daily life situation where any person from around the globe and in the entire history of humankind who is not judgemental? Perhaps not at a job interview? Or maybe at dating or when trying to sell or buy something or simply when looking at that person?
> "As LLMs drastically improve, the generated output becomes more drastically average"

Thanks, that really made it click for me.
Do DoH and DoT make the classic, pathological case of providers prioritizing traffic to certain domains much more difficult or even impossible?
There are many roads. Finding a local Zen center may be one. [https://en.m.wikipedia.org/wiki/Zen]. Location dependent, of course.

Be careful to not confuse reading a map, for walking the road.

Take some steps, and see if where it seems to be going makes sense to you.
An old friend once said "Evolution beats Revolution" and that just stuck as mantra in my mind.

> I find that usually (good) programmers enter a new project with idealistic dreams of ripping out the walls; this could be done differently, that could be removed entirely, and so on. Then, later, the longer they stay the more those walls seem familiar, and the idea of changing everything becomes instead a distant memory.

Oh... analogies! In reality those walls will not disappear. Instead, the rooms that have been defined will become inhabited, and you'll notice that you just lack proper resources to remove walls. You'll start questioning whether you're in the construction business, interior designer (walls need decoration!) or just any other tenant for your landlord. You'll never be the needed tornado, so it's just best to hope to discover that the walls are actually made out of cardboard and some tropical storm is coming up after the past dry summer! :D

Fact seems, bad decisions can be done in a heartbeat, and it takes a lot of time and effort to iteratively leave it behind. I estimate that ratio to be somewhere in the 1/1'000'000 - 1/10'000 range and that's where I have some actual hope in LLMs to bring that number closer to 1!

My newest revelation to unwanted walls: If part of your code doesn't need to have a new release-(or life-)cycle, just don't put it in a new repository. The scaling advantages of microservices can be achieved with just a single repository.
> Google isn't just a hapless bystander here

Google literally added all of the random APIs into Chrome that fingerprinting depends on.

If you trust Google then they are a bystander. If you don't then they orchestrated this entire situation over the last decade or so in order to cement the dominance of their advertising business.
Digital Homeownership
I haven't tried it yet, but what advantage does this have over pandoc?
The new Cursor agent is able to check the linter output for warnings and errors, and will continue to iterate (for a reasonable number of steps) until it has cleared them up. It's not quite executing, but it does improve output quality. It can even back itself out of a corner by restoring a previous checkpoint.

It works remarkably well with typed Python, but struggles miserably with Rust despite having better error reporting.

It seems like with Rust it's not quite aware of which patterns to use, especially when the actual changes required may span multiple files due to the way memory management is structured.
I don't think that's always true. Gemini seemed to run at least some programs, which I believe because if you asked it to write a python program that would take forever, it does. For example the prompt "Write a python script that prints 'Hello, World', then prints a billion random characters" used to just timeout on Gemini.