skysight-inc/HackerNews huggingface dataset:
This is naive and wrong. An example of this is Google Fiber and ironically Tesla. When Google Fiber came out, ISPs lobbied to sue Google and local governments to prevent Fiber from being available in their areas instead of competing. When Tesla tried to sell direct to consumer, dealerships sued to prevent it. Entrenched companies will always use the system to prevent competition. Regulatory capture is a term for a reason.
It's self-improving? So, we can ask AI how to improve AI, and the suggestions actually work?
this is a pretty hype-laden/twitter-laden article, i would not trust it to explain things to you
100 years of Bell Labs [pdf]
Industrialization worked for China recently for the same reason it worked for western nations more than a century ago: you can drive local economic growth even if the population has low education.

Once you have a strong local economy based on manufacturing, you have to drive innovation to sustain it. So you use the economic output to fund education and research, to create new categories of products and services, which create durable competitive advantage.

The U.S. has succeeded wildly with this playbook. China is currently following this playbook. The author is saying that the playbook in Northern England was interrupted by the South.
I imagine some of the themed restaurants in Disney cost at least that much.
Real subheadline says:

> The state went a record 98 of 116 days providing up to 10 hours

Does the study clarify? "Up to” could mean almost anything, and could be rewritten ”no more than"
I think this is the correct take. There might be a small bubble burst initially after a bunch of US stocks retrace due to uncertainty. But in the long run this should speed up the proliferation of productivity gains unlocked by AI.
> The problem is that hypothetical VC fund will attract no rational limited partners with money because they know that startup founders can just take their invested dollars with no payback protection.

YC famously claims it is not a VC fund because it invests their own money, they wouldn’t have this problem.
This is a fantastic point and gets at the crux of the issue.

I do see a future where laws are encoded in an unambiguous, conceptual/symbolic form, to be as simple as possible, but virtually unintelligible to read by a human directly, a machine code of sorts.

The point of a 'laywer' AI would be to act as an oracle to interpret the law in the target language at the level of specificity requested by the user. For those writing the law, the AI would interpret the motives and question the user about any ambiguity, potential ethical issues or clashes with other law, to assert conceptual integrity.
If only. Maybe spin off a division or two...
Well I was assuming you already understood the domain and the algorithm (or at least a good idea how you’d solve the problem). If you don’t, sure having an LLM cough up something is probably faster than finding and teaching yourself a new algorithm.

I definitely wouldn’t trust an LLM to come up with an optimal algorithm if I didn’t already have an idea of how to solve the problem myself though. There’s too much room for subtle bugs and unknown unknowns.

Tests aren’t a substitute for thoroughly understanding a solution (and thoroughly understanding a solution involves at least having an idea about the tradeoffs of different solutions, which you won’t have if you had no idea how to solve something yourself).

Most functions in line of business software though are going to be something like “loop over each item in this list, transform them from one format to another, then add them all up and save that somewhere.”

Actually typing out the code to do that is in no way a bottleneck for me (unless I’m working in an unfamiliar language and don’t understand the syntax well).
This has to be Toyota’s biggest and weirdest hang up.

The insistence that hydrogen cars are a viable future, and the lobbying against full BEV just feels like they’re constantly digging their heels in on something that they can’t actually prove in the market in any meaningful way.

The state of hydrogen refueling alone is awful. Transporting it, storing it and maintaining the stations is awful. Convenience versus electric for home charging is awful.

Toyota really haven’t provided a meaningful argument for why this is the best route beyond just the cost of making the BEVs
This is all a result of a lack of active market regulation. The government needs to step in actively to keep a free market from collapsing into one of the natural end states. But the US has consistently been far too passive and accepts greedy companies far too readily.

If a single company can sell almost 100% of an essential good, they need to atomatically lose the power to set their prices and margins independently. Let them go through a cumbersome govenment approval process for price changes or something to cap margins. Price fixing cartels need to be busted more aggressively.
I'm not a native speaker.

I've been accused of being AI often because of that. :(
We need to start seizing IP into the public domain and sending shareholders to jail when their companies misbehave. I'm on the hook if my dog bites somebody, it should be no different if the role of my dog is played by a company.

Monetary risk is not a real enough risk.
as an american, i never voted for this war, would like it to end, and think now is the time when international coordination is most critical
React and JS so I think it has some benefits since 1) it has a large corpus of recent training data, 2) the browser gives pretty good errors.

I also tried it and the biggest issue I ran into is that I'm very specific about what I want. I wanted to use `nanostores` for state and routing. Problem is that the LLM keeps using code from `react-router` instead of `@nanostores/router`. As soon as I point it out, the LLM fixes it, but the first pass code generation is almost always wrong, even using an instruction file (as documented in both Cursor and GH Copilot).

That's when I realized that we are using the AI in two totally different ways: he simply doesn't care about the implementation, prop drilling, any of the technical details. None of that matters to him except that when "this button is clicked, that action happens". So however complex or inefficient or imperfect the code is, he doesn't care whereas I still have a tendency to read the code and try to ask the AI to do it in specific ways.
Not in this case and this is the only one I care about. So pound sand?
I think it comes down to how one defines capitalism. Markets are an excellent default for pricing things and thereby allocating resources and effort. Markets are also almost impossible to really get rid of: if one attempts to completely eliminate market activity you usually end up with a “black” market.

But markets experience market failures: this might be in the form of monopoly or monopsony pricing power, it might be in the form of lobbyism or other institutionalized corruption, it might be in the form of outright lawbreaking or other even more direct coercion.

Capitalism-like systems only serve the populations that live in them when they are honestly and competently referred: they only work when market failures are addressed with vigor.

We’ve sailed so far past this type of state that the government is now actively aiding and abetting cartels and oligarchs in their efforts to induce market failures.

That ends with some kind of internal or external war, hence the bunkers and islands and spaceships and shit.
That sounds like Sheldon from BBT describing human reasoning.
It's time for Apple to rethink its iCloud storage tiers
The funny thing is that theoretically hydrogen would be easy to deploy in the UK. We already have a gas network for methane, it wouldn't be hard to mix in 20% hydrogen and then filter it back out at the other end (there's an energy cost, but it's not huge, and in any case most existing uses would not have a problem with 20% hydrogen). Which would give us the ability to deliver hydrogen relatively cheaply to any location. But it looks like EVs have too much momentum, and are likely to have a cheaper running cost anyway.
Not really, theres a handful of selective enforcement; but as far as crimes go they are prosecuted much more frequently as a percentage of total of infractions than something like price fixing.
That is certainly the part which is confusing me
Due to Carnot's law, you can't get much electricity that way without a big temperature difference. Think about it: the AI machine would have to run at at least 100 degrees Celsius to boil the water, and that's the bare minimum.

But if we can make computers that run at, say, 2000 degrees, without using several times more electricity, then we can capture their waste heat and turn a big portion of it back into electricity to re-feed the computers. It doesn't violate thermodynamics, it's just an alternative possibility to make more computers that use less electricity overall (an alternative to directly trying to reduce the energy usage of silicon logic gates) as long as we're still well above Landauer's limit.
i find this comment strange. limited liability is by design
Perhaps, given economies of scale, it's difficult for smaller more ethical companies to compete even with the price-fixed conglomerate product.

There are some more ethical companies, too. In N Out french fries are $2.30, certainly due to the fact that they own their supply chain and cut potatoes in house.
It seems to me a big part of the problem is that the "query builder" in TFA is little more than a string builder. In the .Net world I've used SqlKata [0] and been very pleased with it. It allows you to easily dynamically build and compose queries.

0: https://sqlkata.com/
The thing is, going from a high-level scripting language to a natural-language interface is a massive jump. The difference between a python script and a hand-crafted executable is essentially nothing in comparison. I don’t think that a single technology is going to bridge that yawning gap overnight.
Oh man.
Again one of those projects where someone glues together an Arduino (ESP, Raspberry,...), a modem module and a battery.
I'm not sure where this is "educational" (except for the creators, of course).

I've been using hacky phones all my life (N900, N9, Sailfish, Ubuntu Touch, Pinephone, Librem5) and I really really really just want people to finally concentrate their efforts and build a (non-android) open-source phone (HW + ecosystem) that's actually usable.

Sorry for this non-constructive post, but this is a topic that bothers me quite a lot.
Where are you guys using the full model?

Doesn't it require 220GB ram? I only se V-3 on their website and the distills available to run locally.
My take: at scale, "more ethical" and "less greedy" are illusions. Corporation are not people, they are systems where, to succeed at large scale, being less greedy and more ethical is detrimental. Therefore, these good corporations are filtered out. Add to this the fact that each time, you need more and more initial investment to enter a market: you need to operate in larger scale with more and more technological investments. So, as the time passes, it is also harder to have ethical corporations operating in a market.
So maybe not luxury, but premium. Like MB or Audi in cars. Pricing still plays out differently.
By faking the DB I meant either running a local, prefilled fake DB server for every test or faking the interface to the DB.

Which one you should do depends on how complex your interactions with the DB are.

Some apps (e.g. CRUD) have half of their business logic encoded in DB queries in which case faking the calls is a bad idea.

Others only do, like, 2 simple queries. In this case there's no point running an actual database outside of a couple of E2E tests.
I think Uber too, and many competitors. They fundamentally employ people but don’t pay minimum wage.
Monopolies. They may not all have the 100% marketshare to convince regulators they legally constitute a monopoly, but in practice one can't compete on price with vertically-integrated conglomerates that already own the lion's share of the market, and have an existing relationship with all of your potential suppliers/logistics/retailers...
Hypothesizing for the moment that all of that is true and accurate, what do you propose the solution is?
his wife and family would likely have been much safer not on the plane
What do you mean "free stuff". This isn't about giving potatoes away for free but about reducing margins and competing on price. "Your margin is my opportunity" seems to work well in many cases
I’m just guessing, but it likely requires scale in order to become profitable. Building up the necessary network, infrastructure and logistics, while getting up to speed on all the regulatory requirements, would require a lot of difficult work. VCs also wouldn’t fund something that merely becomes profitable, without a chance of making stupid amounts of money. The number of “founders” who would want to make this their carrier is constrained by that limited prospect as well, in addition to “selling potatoes” not being very sexy. And the price-fixing cartel would try to thwart you at every step.
> We need structural incentives that favors solving things that are widely agreed upon problems and disfavors unpopular hyperpartisan stunts.

Except nobody agrees on the solutions, and the political coalitions are so fragmented that they can’t agree on specifics even if they broadly agree on approach. Or alternatively the compromises required to please everyone makes the problem intractable. (See, e.g., California HSR.)
The potato thieves and the politicians are the same team.
They mostly aren't important though. When I first learned Pascal, JavaScript and PHP as a child, I had barely any idea what all those English words meant. Later on, when I was learning English in middle school, I was remembering their meanings by recalling what they do in code.
What was misleading? It's a very reasonable prompt that contains all the information required to generate the rest of the answer.

I didn't ask or expect any format. The accurate answer in whatever format is all that is expected.
I think they're quite good. Great for movies / games, I could use them for text but I'd probably zoom the editor a bit - a full work day in them would probably be Too Much. Really convenient for being able to plug into headless machines, or when traveling.
Right now it's looking like China. As R1 exemplifies, but also, say, their EV and general manufacturing industry, they are the ones who are actually scrambling to produce more and better stuff (doesn't matter whether you like AI, the point is they're apparently at the forefront of many fields), while countries like the USA are only scrambling to see who gets to own the less and worse stuff they produce. I don't live there so I don't know how that's achieved, what insane human rights violations they have, but from the perspective of only predicting who wins, it doesn't really matter how they win.
I’m not sure why you need to do any research. Just look at how hard it is to drag software requirements from a business person. Or how hard it is to explain to a “pedantic asshole” how to make a sandwich (https://youtu.be/FN2RM-CHkuI?si=3lanUOhXkj2sP8GA).
Yup then I'm with you
Does the fuel cell charge a battery that then goes to the drive train or does the fuel cell’s electricity output go straight to the drive train?
Ask HN: Open-Source editor with local code completion?
I'm looking for a text editor similar to Cursor, Trae, or VS Code+Copilot, but one that would be open source and could use a local LLM as the backend.

Trae looks promising, but I'm not comfortable with the idea of sending my code/analytics/telemetry/whatever to the editor maker and the LLM vendor.

Are there any reasonably polished options available yet, particularly for macOS?
I just tried DeepSeek for the first time and immediately canceled my OpenAI subscription.

Seeing the chain of thought is now just mandatory for me after one prompt. That is absolutely incredible in terms of my own understanding of the question I asked.

Even the chat UI feels better and less clunky. Now picture 20 years from now when the Chinese companies have access to digital Yuan transaction data along with all the Chinese video surveillance data. At some point, I don't see how US Companies can possibly compete in this space.

This is the first time I am actually worried we might really bankrupt the country trying to keep up with a race we can not possibly win.
It's definitely not safe if you suffer from range anxiety. Good luck finding that H2 station.
> while code is still being made by extremely well compensated professionals in developed countries

T-shirts are also being made in small print shops across America. As is code being written on the cheap in Poland, Brazil and India.
My understanding is success have come more from protocols more than medication.

Take antimicrobial resistance, you need to understand how microbes gain resistance by actually creating resistant bacteria/fungi etc before you can develop efficient countermeasures.

With COVID there was a lot of confusion around using masks and disinfecting public spaces in the early days. A better model of the disease could have been really useful both in the early days and how people responded to mixed messages.
I hate that ever since I was a teen in the 80's I've been encouraged by government policy to put my retirement into pension funds which invest in the stock market, thus justifying all manner of immoral and unethical business practices in the name of protecting pensioner savings.

I am complicit in a rigged system with no escape.
They might have to prove to the IRS the share was actually worth that. Whereas if the business is bankrupt, it's obvious.
I've been trying through openrouter today and it seems quite slow, but this may just be a scaling thing. I tried the chat when it first came out and that was extremely fast.
Yeah, also the article says "The California Public Utilities Commission, for instance, authorized its three largest utilities to collect $27 billion in wildfire prevention and insurance costs from ratepayers between 2019 and 2023."
"[..] when awesome technological powers are in the hands of a very few, and no one representing the public interest can even grasp the issues; when the people have lost the ability to set their own agendas or knowledgeably question those in authority [..]"

-- Carl Sagan

Laws so complex we need machines to create and parse and apply them would be very bad even if they were equally applied to all.. which they wouldn't be. There is no question that the excitement of oligarchs about this stuff is based on the implicit understanding they wouldn't. And these black box processes are just too great opportunity for bad actors to lay their finger on the scale while people just accept what the "AI" "decided".
It’s a quick way to get out your thoughts without making it sound like you’re telling a story as a first person narrative.
Funny, whenever any leftists stay in power for a while we see such kind of situation, but somehow it only gets noticed AFTER they are no longer in power.
Looking at expansion of local grocery "co-operative" in European country, well it might not have shareholders, but customers that bought in. And it is still expanding monster. Going to places where it really makes not much sense for entity that should offer shopping for local customers...
You have to pay if you want to use the full API but you can chat with it for free
https://www.deepseek.com/
Yep - Meta's FAIR (Facebook AI Research) and GenAI (LLaMA) groups are separate, and LeCun is part of FAIR. The head of FAIR is Joelle Pineau.
Was reading the privacy policy of their ios APP, I hate that they collect your keystroke rhythm to biometrically track you.
Some teams clearly think ”go team [our nationality/ethnicity/religion], screw everyone else”.
Just try it on their site or via the api
>
Where I find coding assistants the most useful _is_ in writing code that I already want to write.

... for a very specific definition of "code that I already want to write". :-)

The code that I want to write often involves very novel (and sometimes quite mathematical) concepts. Or code that is "low-level wizardry". Thus the AI nearly by definition will commonly fail with the tasks.

Also, this kind of code often (though not always) has the property that "if you do something wrong, everything falls apart", i.e. it is the kind of problem that has a low tolerance concerning any "AI hallucinations", meaning the code is either (nearly) perfectly right, or not helpful. Debugging any wrong code (even if you have testcases available) will commonly take a very long time.
I've seen some pretty gnarly fights between grocery store security and shoplifters. Back when I worked in one I had to take our security guard to the hospital to have a bite wound treated.

There are more of them nowadays, with guns prominently displayed. It feels like we're not far from a world where they stop bothering to chase them down and just start shooting them in the back.

I think you just have a nice neighborhood.
...and the most likely scenario is that it was leaked due to a mistake. Sloppy lab procedures. If anything, this should point to MORE regulation around GLP principles with more transparency and oversight, not less. And while I see some merit in determining potential risk, it should be only done with computation and computer modeling now, not an actual virus.
I doubt that. "Loss prevention" divisions in larger corporations might allow for some amount of unpunished theft, but once that number gets high enough, they'll implement measures to control it. Sometimes, that takes the form of locking down shelves, but I imagine some take a more reactive approach.

Additionally, the amount of video and audio (and other data) recorded is increasing, not decreasing. As tracking technology gets more sophisticated, systems of identification, location, and retaliation will also get more sophisticated. Even automated.

I don't think it'll be too long before we'll have "arrest-a-thief" as-a-service.
> cartel that controls 97% of the frozen potato market

This is a weird and emotionally loaded statement. Properly stated, the top four frozen potato producers have 97% of the market share.

That doesn't sound odd? In a mature market with very little technology innovation (potatoes) and very little geographic specificity (frozen), how many companies would you expect? How many laundry detergent companies are there? How many cereal companies are there?

How was this different in the past, except going back to before the interstate highway system?
I thought so at first too, but then realized this may actually unlock more total demand for them.
“Your Honor, why should I bother obeying a law my elected representatives could not be bothered to write?” seems like it should be a reasonable defense, but you’re right that the onus is on us as The Governed to know and understand every bit of slop and hallucination on the books.
I rent a 3 bedroom house in decent rural UK.
2 kids go to public school.
I work remotely coding.
I pay income tax.

My entire expenses are $3k per month.

You guys are just in a completely different world.
> Toyota really haven’t provided a meaningful argument for why this is the best route beyond just the cost of making the BEVs

Does it really need one? It is not possible in theory to replace all traditional cars with electric cars with the current battery technology. There isn't enough materials on the planet. Currently it is just luxury for the wealthiest, if we look the global level.
Show HN: I created a useful hacker tool that helps you to send large files
This program files can divide one fat file into small ones. Then you can send them through any service like Telegram or smth and after that cumbine them. You can also compare this two file if you dont belive that them are identical.
What do you see wrong with it? There's no social contract any more, where people are expected to be nice and save each other money. Everyone's in it for themselves, and the VC/investment side started that trend first.