skysight-inc/HackerNews huggingface dataset:
no, he is a corrupt, amoral idiot who is approached all day by hundreds of people and organizations who have all paid in some way to him personally, either financially (like $5M to dine with him at Mar a lago), or via loyalty oaths, or their ability to help him get reelected (Putin) etc. to have his ear on some pet subject. Then they sell him on whatever it is and as his intellect is about on the same par as Homer Simpson, he acts impulsively on it.

It's no different than those local dudes who fall for things like "You can Patent your Invention!" or "You can get Rich with Crypto ! (or Gold! or Coins! or ...)" scams all day. He is both the scammer and the scammed.
Nothing to do with Apple AirPods.
Attack? Is there any other indication of an attack?

There are many possible root causes which could explain what you observed.
Humans are inherently greedy.

Once we get a feel for what the AI can and cannot do, bigger bets will occur.

Currently, companies seem tight - team counts are held low, and hiring is frozen. Very much a position of "let's see how much AI efficiency gains us".

But eventually, the money sitting on the sidelines will look attractive again - attractive for taking bigger, more ambitious bets.

More hiring has to take place.
I really struggle to understand your confusion. How do you think normal companies work?

Ecosia is profitable, they take some percentage of that profit and use to plant trees. In a "normal" company that money goes straight into the pockets of the company owners. Profit is measured after investments into R&D, salary, marketing everything that come with running a business.

Sure they could "just" spend more on developing their product, but from what I can see they don't really need to, it's already a good product. So rather than stuffing the pockets of an owner or shareholders, they donate that profit, or parts of it, to organisations that plants trees. Most people wouldn't donate to a tree planting organisation, but they will switch their search engine, if it's good enough and even if that plant only 100 trees, that's better than no trees.

I worked for a company that spends it's profit on helping sick children. The owners make enough money. They donate over €1.000.000 per year to a foundation, rather than putting that money into the pocket of the owners. The customers might not even know that they support that foundation, but that also doesn't matter as long as they get the products they want and the price they want. Your suggestion is that the owners should pocket that cash, and I should go donate to that foundation directly?
https://archive.ph/VEzfd
>It turns every new feature into “implement this in someone else’s code base”.

It amazes me that more people aren't worried about this.
>take a "Cost Accounting" course

do you (or anyone else) have a good course to recommend?
I was recently in Malaysia and they've boycotted certain American brands over the Israel-Palestine war. For example, KFC has given up and was shutdown everywhere. So boycotts can work.
Maccas seemed to be doing just fine though, take from that what you will
Don't the resource requirements from even small LLMs exclude most devices/users from being able to use stuff like this?
It's a wild world where "reading the documentation" or "researching a topic" has become a career superpower. I'm glad my education largely predated social media and cell phones, and that I learned to read and work problems independently. OTOH it often makes work a very lonely, taxing experience. Being a human index into documentation is a hell of a lot less fulfilling than working with people who also can read.
A single one on paper but a heavily divided one in practice where every country wants to be king or at least backstab everyone else to get what it wants.
My taste buds say Coke Zero better approximates it, although it goes stale in just a few months so cannot sit on the shelf. To me, Diet Coke tastes shallow and like chemicals.
Still down in The Netherlands.
I had a Diamond Viper V770 Ultra TNT2, I feel like that was a turning point in the 3dfx vs NVIDIA battle (and the subsequent GeForce marks NVIDIA industrial lead).

https://www.anandtech.com/show/307
I’d suggest we are much closer to that reality now than we were in the 90s, in large part thanks to the internet.
Tunnels following walls and moats are quite normal and not mysterious at all. They just tend to be abandoned and forgotten after a few centuries of peace, as urban castles become palaces and city walls become an encumbrance, even if they had not been designed as highly confidential secret passages in the first place as seems the case here.
It's the default OpensStreetMap style, which was never intended as a cartographic basemap for visualizations. Its purpose is to facilitate editing of the underlying data... but it's also one of the "free" options out there and integrated into most map library examples. ("free" because it's community-supported and heavy usage is discouraged, https://operations.osmfoundation.org/policies/tiles/)
Dad of detained tourist urges care on US visa rules
Right. The article talks about building SciPy using LLVM-Flang, although it does mention LFortran a few times as well.
I think they are referring to “models” in this case as versions. 4o is a ChatGPT model as is o3, 4o-mini, Sora, etc etc.
When I was a kid my dad gave me his war surplus radio. He had been a communications officer in WWII. It was a huge metal box with a separate speaker. Inside it was full of tubes, wires and other stuff. I knew nothing about it so I turned it on, ran a wire outside for an antennae and started spinning dials and flipping switches. It kept me amused for years. Eventually I stumbled across actual broadcasts such as BBC and Radio Luxembourg. But the funniest was the English language Radio Moscow. It was filled with vignettes of happy working couples in their modern apartment living a fulfilling life in the Soviet Union. The stuff was risible to even a child in the 1950's...
It seems like a very nailed project. I understand this works also as an engine to optimize an interface over a body of knowledge (dataset) you input?

Questions:

-- Does a training over a body of data export into better performance over subsequent bodies of data - as you should also be training meta-skills?

-- Your benchmark revealed a growth from 23% to 53% after an hour: and after further training? If it plateaus, why does it?
I don't think he is downplaying the effectiveness of what you can do with the current models. Rather, he's in a milieu (LessWrong), which is laser-focused on "transformative" AI, AGI, and ASI.

Current AI is clearly economically valuable, but if we freeze everything at the capabilities it has today it is also clearly not going to result in mass transformation of the economy from "basically being about humans working" to "humans are irrelevant to the economy." Lots of LW people believe that in the next 2-5 years humans will become irrelevant to the economy. He's arguing against that belief.
i'm not saying mono doesn't need contributions, i'm saying that microsoft in particular has no real reason to contribute to it. it's not part of their .net strategy in any way, and it wasn't even their project to begin with.
I was thinking it seemed bizarrely specific...
gender being a social construct, mice don't have it.

You have to be careful there. Plenty of individual animals in the wild exhibit social behaviors that we would associate with unconventional gender roles if they were humans. There are known evolution-based rationales for many if not most of these behaviors, and it's safe to say there are unknown evolution-based rationales for the rest.

We're not special.
It can make it difficult to work in the industry because you find yourself surrounded with expert beginners who (generally privately) think they're geniuses.

I love working with people who aren't afraid to solve problems, but are also firmly in the camp of recognizing how clueless we usually are. We shouldn't be terrified of failure, anxious about what we don't know, etc. But man, some humility goes a long way.

The alternative leads to terrible software, team dynamics, work-life balance, etc.
That's a lot of projection in a forum where you're supposed to assume the best of people you talk with. I never presented that false dichotomy.
> it's just not there

Build the much maligned Todo app with Aider and Claude for yourself. give it one sentence and have it spit out working, if imperfect code. iterate. add a graph for completion or something and watch it pick and find a library without you having to know the details of that library. fine, sure, it's just a Todo app, and it'll never work for a "real" codebase, whatever that means, but holy shit, just how much programming did you need to get down and dirty with to build that "simple" Todo app? Obviously building a Todo app before LLMs was possible, but abstracted out, the fact that it can be generated like that's not a game changer?
Might be psychosomatic or unrelated to the sweetener.

Drinks containing caffeine tend to lead to mild dehydration and caffeine withdrawal headaches.
I think just collecting information about so many SaaS platforms and publishing it doesn't make it a business idea. For example, there are websites that gather data on tens of thousands of SaaS platforms, but they also continuously track them, such as their funding rounds. Additionally, it's important to consider how deep the categorization of these platforms is—by industries, solutions, etc. Even if you’ve covered these aspects well, it still might not be enough. I think it would be best to start by providing free access and seeing if there is any traffic…
This, if you hire engineers, you want them doing tasks only engineers can do, not busy work.
In the narrow sense it’s good. It’s an optimization function, yes. With a wider lens it leads to problems that are just lumped into the big pile of things called Externalities. One of which is ecological collapse. Or just climate change if that sounds too drastic.

Capitalism is the most advanced mode of profit-driven systems. Where it inevitably leads to more and more inequality. Why? In part because money becomes the most fungible commodity. You can use it to buy everything (except happiness?). In turn you can buy all regulation. You can buy half of people’s everyday time (labor). There’s no breaks on it.

So it continues until some outside force stops it. Becaue it can’t regulate itself (with what, money?).
You're probably thinking of https://ciechanow.ski/mechanical-watch/

I can't imagine how long this post took to make, let alone trying to do animations.
Show HN: Built Pay as per Use SOTA AI App to Avoid Subscriptions Hell
To avoid paying $20 subscriptions for every SOTA AI Models like Claude, GPT, O3, Deepseek etc... instead just pay as per your usage credits based system with Easy to use, Clean UI.
Userstyles are always nice, and if an that’s officially endorsed use that sounds sick!

> Although the main draw is being able to uprank, downrank and block sites in your results

I think Brave Search has this too now? Not as straightforward – you can only change site rank when you’re on the search page, and only for the domains currently on that page for some reason – even though the adjustments you’ve made will apply to all searches from now on. Oh, and it also only has uprank and block.
Should have started with that.
What would you suggest as an alternative to checking in DLLs?
yes ... I blame my old eyes
Amazon opens new AI lab in San Francisco focused on long-term research bets
But it doesn't. It just makes you feel better about it.

If anything, relocating makes the mouse more likely to die slowly and painfully.

So, your options are: definitely quick and easy, with some ick factor for you? Or false feelings of good-doing, followed by nearly certain starvation, dehydration, exposure, and/or predation?

The honest option is to get over your own squeamishness and not be the feel-good torturer.
Rather than make promises of dubious enforceability, why not just share the index as a public resource.
Harnessing the Power of Hugging Face and AWS for Scalable Image Classification
What I like about DeepL is that it tries to translate colloquially. For popular metaphors or sayings, Google does okay but it’s not perfect, especially if you don’t provide the entire sentence as context. DeepL does better with recognizing fragments imo.
I usually am a huge fan of “copilot” tools (I use cursor, etc) and Claude has always been my go to.

But Sonnet 3.7 actually seems dangerous to me, it seems it’s been RL’d _way_ too hard into producing code that won’t crash — to the point where it will go completely against the instructions to sneak in workarounds (e.g. returning random data when a function fails!). Claude Code just makes this even worse by giving very little oversight when it makes these “errors”
This almost exactly what I’ve been saying while everyone was saying we’re on the path to AGI in the next couple of years. We’re an innovation / tweak / or paradigm shift away from AGI. His estimate in the 2030s that could happen is possible but optimistic- you can’t time new techniques, you can only time progress on iterative progress.

This is all the standard timeline for new technology - we enter the diminishing returns period, investment slows down a year or so afterwards, layoffs, contraction of industry, but when the hype dies down the real utilitarian part of the cycle begins. We start seeing it get integrated into the use cases it actually fits well with and by five years time its standard practice.

This is a normal process for any useful technology (notably crypto never found sustainable use cases so it’s kind of the exception, it’s in superposition of lingering hype and complete dismissal), so none of this should be a surprise to anyone. It’s funny that I’ve been saying this for so long that I’ve been pegged an AI skeptic, but in a couple of years when everyone is burnt out on AI hype it’ll sound like a positive view. The truth is, hype serves a purpose for new technology, since it kicks off a wide search for every crazy use case, most of which won’t work. But the places where it does work will stick around
Not a Trump fan, but for many people including me, Trump comes out looking like the sane one when he calls a mouse on HRT a trans mouse, and the rebuttals are:

-"The studies weren't about gender in mice because, gender being a social construct, mice don't have it"

-Scientists weren't actually "putting mice in drag and asking them their pronouns."

-Trump confused transgenic mice with transgender mice
The video also highlights how finicky that technique is to work with. Especially when working on film, where you have to wait for the developed dailies to check the quality of the work, any reliability issues with the effects processes compound enormously. Re-shooting scenes days later because the camera or lighting was subtly inadequate is expensive.
Except it's out of date…
My simple RAG setup has a steps that will return "We don't have this information" if e.g. our vector DB returns entries with far too low relevancy scores or if the response from the LLM fails to add certain attributes in its answer and so on.

Edit: TBC: these "steps" aren't LLMS or other models. They're simple code with simple if/elses and an accidental regex.

Again: an LLM/NN indeed has no "understanding" of what it creates. Especially the LLMs that are "just" statistical models. But the tooling around it, the entire chain can very well handle this.
"I really hope that we'll get a legal precedent for this actually being possible and durable in at least some countries, because that was the promise of OpenAI at some point as well."

Lawyer here - it is basically impossible to do what they (and others) want.

There are few (if any?) countries, where either provision would survive bankruptcy, for example.

They could always choose to dissolve rather than restructure, but if they did choose to restructure, i'm not aware of a country where the restrictions here would be enforced on the successor.

On top of this, in most (all?) countries, agreements not to file for bankruptcy are not enforceable ;)

So that's one mechanism.

In most countries, however, these provisions would be "easily" removable through shareholder + officer vote.

Some companies go pretty far down the path of trying to use trusts as shareholders and requirements on trustees and such to try to ensure such a thing never occurs.

You can also do hilarious (to me) things like create enough shareholders (let's say 7 billion), make shares non-transferrable, etc, so that even though theoretically it requires a vote, such a vote is practically impossible.

I also had a friend who explored whether you could legally require the place of voting to be like "the surface of the sun" or something that ensures voting can't occur, but unfortunately, you usually can't.

Companies really aren't meant for this kind of thing - not that there is something better, but what tehy are trying to do is pretty fundamentally opposed to how countries want companies to operate.

If it's really a big enough deal, the "correct" answer is to create a new corporate form, much like we created LLC's, etc (LLC's are less than 100 years old, so it's not impossible)
They didn't mention dual monitor and S-Video output. Having a second display was novel at the time. Using your television as another monitor, even more so.
Yep it isn’t principled at all. This is just making clear that Canadians and Europeans are willing to openly support a communist dictatorship. I guess that sort of aligns with the trend in these countries away from Democratic values like free speech. But it is still disappointing.
When I first started working on large-scale log analysis projects, I quickly discovered that traditional string search tools weren't keeping up with my needs. Processing gigabytes of log files daily meant that every millisecond of search time translated into minutes of waiting in real-world usage. This realization led me to develop krep, a blazingly fast string search utility designed specifically for performance-critical applications.
> I think the startups selling dev tools are not selling to developers at all, but to the IT folks of these big tech firms.

They are often selling to IT managers against the advice of the developers and IT folks, and then they mostly don't get used because they don't actually add any value to the process.
your mom!

BOOM job security
Horton Hears a Who (2008) does a really fun job combining different animation styles to get different effects. It works well in the silly Seuss universe.
That's a different case. Corporate code is never optimized for performance. Performance as a factor doesn't play any factor.
Who do you think the customer is? Is it somebody looking for a SaaS service or is for competitive or some other kind of analysis?
I've actually been socially pressured to check my phone at a dinner table if at a certain point everyone else at the table checks theirs (which is not even a jab at them- at least a few people probably had a legitimately urgent-enough notification to attend to... making after-dinner plans, checking train schedule etc.) It's just funny how strong the social urge is to not just sit there if everyone else is also checking their phones.
This is a handy reference to have!

Is there a way I can download this as a CSV file?
I left a while back, but folks still there tell me not much has changed (except they do a lot less hiring these days, so quotas aren't as big a part of the promo package)
Yeah, there is just too much here - i started down the path of trying to explain some of the legal issues and problems, and how people often think and deal with them (with pointers to some of the more interesting attempts, etc), since as you say, this is a thing that's been thought about, by many people, many times, but i feel like i'd end up writing 50 comments and so gave up.
I even asked copilot why i did not get an email. look what it said https://postimg.cc/bs4P6kB2
Nobody in europe is buying Chinese evs? Teslas are hot garbage. Also the real car manufacturers have better alternatives now. Experience matters. The sales figures are from before he went full Nazi. Some Teslas are banned for safety reasons in UK and Europe. That's how shit they are. Anyway - who is going to want a car that will be set on fire or at the very least keyed down every side within a week of owning it? Insurance costs alone will make them prohibitive to buy. Musk isn't going to last long anyway. He's on a death spiral. Hope he dies screaming. Nazi scum. SELL $TSLA
> There was a brief moment where Intel Celerons didn't really prevent you from using them in a dual CPU setup, so I had two 366mhz Celerons overclocked to ~433mhz

Was that the BP6 motherboard from Abit?

I had that board, those processors and used to overclock them too.

Also ran Linux and BeOS on it (though IIRC you had to patch BeOS for SMP support).

Quake 3 ran so smooth on that machine, even without Q3s experimental SMP support enabled.

That was actually my all time favourite computer, even to this day.

I also had a TNT2 in an earlier machine, but the BP6 machine had a GeForce 3.
"It's from the New Yorker. The most important magazine of our time. Probably the most important magazine that ever was."

(From a vaguely-remembered 1990s-era ad campaign that I thought was excruciatingly self-indulgent at the time, but which evidently worked.)
>every mobile OS vendor

Maybe half? Android has consistently had this capability since its inception.
It’s arguably not unethical to prioritise integration with Vercel—-especially if they’re footing the bill.
Apparently unreliable partner just means “not being taken advantage of”. If stopping a waste of American taxpayer money results in this reaction, it’s clear the countries looking to decouple were never really partners of the US.
This is a periodic reminder that all innovations happen in iterations. Walt could be credited as a curator of talented production and investor in the mission.
Yeah, USSR focused on terrorizing their own people instead.
X Is Down
I urge you to rethink this perspective. All research shows that paper increases comprehension significantly over screens and even over eink. Additionally hand note taking again has a positive impact.
Some explanation would make your point clearer. What did you mean when you combined - or juxtaposed? - these two segments from my earlier reply?
Why did they go vertical? Would it have been easier going horizontal?
In other words, profits are bad when they necessitate some threshold of negative externalities.
"What did you get done this week? " – Convince Elon Musk not to fire you
There are certainly some areas where it's not as strong, and I find the anti-bot filter is exceptionally aggressive. That said it does feel like one of the best alternatives. Google has gotten so aggressive about pushing ads or ad-friendly sources it can be impossible to find the content I'm looking for
I am Dutch, have lived in many countries in several continents. I do see myself as rude. But, being Dutch, I don't give a ** ;).
increased capabilities from LLMs leads to bigger demand for people that know how to direct the tools effectively

This is the key thing.