MurphyA/hacker-news huggingface dataset:
by positron26 | 2025-07-07 11:58:22+00:00
Most certainly the conversation is extremely political. There are not simply different points of view. There are competitive, gladiatorial opinions ready to ambush anyone not wearing the right colors. It's a situation where the technical conversation is drowning.

I suppose this war will be fought until people are out of energy, and if reason has no place, it is reasonable to let others tire themselves out reiterating statements that are not designed to bring anyone closer to the truth.
by onli | 2025-07-07 11:58:49+00:00
I see how that can be misleading. It's globally not a percentage based score.

The benchmark is creating a global order based on which one is faster, including indirect comparisons. But that only takes care of the position, not the rating. That one is based on the percentage between direct neighbor iff there is a direct comparison in the benchmark data, otherwise it's a small .1 increment. So many small percentage increases that don't necessarily match the direct comparion between parts that are not neighbors. Sometimes that works great, sometimes not.

Here the example looks a bit pathological, that difference is further off than I expected when introducing the calculation recently. For the 12700K and 13700K, the direct comparison sees the 12700K at 85% of the 13700k:

https://www.pc-kombo.com/us/benchmark/games/cpu/compare?ids%...

For apps it's 79%:

https://www.pc-kombo.com/us/benchmark/apps/cpu/compare?ids[]...

So yeah, sorry, that part is misleading right now. I'll check the calculation.

But the ingested individual benchmark numbers and the ranking, so the position, is very solid I'd say. With the caveat that ranking position can change with more data.
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by theothertimcook | 2025-07-07 11:59:16+00:00
Youre right you can pretty much run that line backwards for scarcity/availability Shrink, Psych, Social, Counsellor.

I was shocked how many psychiatrists deal almost exclusively with treatment and titration of ADHD medication, some are 100% remote via zoom.

I've been involved with the publishing of psychology research, my faith in that system is low, see replication crisis comments, beyond that, working in/around mental health I hear of interactions where psychologists or MH social workers have "prescribed" bible study and alike so anecdotal evidence combined with my own experiences over the years.

Re: socioeconomic backgrounds, you said so yourself, many cannot afford to go route of clinical psych, increasingly the profession has become pretty exclusive and probably not for the better.

Agree regarding the snake oilers but you can't discount distrust and disenfranchisement of/from the establishment nd institutions.

'This way up' is already offering self-paced online CBT, I see LLMs as an extension of that, if only for the simple fact that a person can open a new tab and start the engagement without a referral, appointment, transport, cost, or even really any idea if how the process works.

Infact, I'm certain it is already happening based on reading the chatgpt subreddit, as for efficacy I don't think we'll ever really know, I know that I personally would be more comfortable being totally honest with a text box thank a living breathing human so who knows.i appreciate your insights though.
by potato3732842 | 2025-07-07 11:59:37+00:00
The root problem here is that the regulatory environment has been (in bits and pieces over the years) set up to be a checkbox exercise for those on the inside and exclusionary toward new entrants. The rules and process of that side of things are not subject to serious oversight so they can be as exclusionary and rent-seekey as the lobbyists and the bureaucrats want, potentially preventing any new entrants.

Musk has, very rightly, realized that the punishment track is subject to far more political and public scrutiny than the approval track and that if you are doing things that people want like building cars and sending rockets into space the scrutiny will prevent them from doing anything to financially cripple your operation.

Ironically, this is playbook that's common at the complete opposite end of the economic activity spectrum where there literally isn't the money to comply. People run unlicensed businesses, do un-permitted work, violate minor regulations, etc, etc, all the time. And by the time anyone figures it out, if anyone ever figures it out, it's too late.
by towledev | 2025-07-07 11:59:52+00:00
>Instruct them in how you want them to code

They don't always listen.

Writing SQL, I'll give ChatGPT the schema for 5 different tables. It habitually generates solutions with columns that don't exist. So, naturally, I append, "By the way, TableA has no column FieldB." Then it just imagines a different one. Or, I'll say, "Do not generate a solution with any table-col pair not provided above." It doesn't listen to that at all.
by bmacho | 2025-07-07 11:59:52+00:00
> Vectors are functions whose input space are discrete dimensions.

This is _also_ true. But the fact that finite dimensional real vectors can be viewed as a special case of set-theoretic functions or as a special case of real functions on a discrete finite space is probably less useful than the opposite: the set of real functions have a vector-space structure, and you can use all the neat theorems about (finite or infinite dimensional) vector spaces.

Well, at least the article is about the latter direction.
by neom | 2025-07-07 11:59:57+00:00
You lopped off the important part! I addressed that very thing in the words you cut out directly after!!!!!!!!! :)

In fact, what you wrote and I are highly alined. I have dyscalculia, so what you discribed was indeed exactly cool to me because i aspired to be good in math so I could be a computer scientist. Never managed to become a programmer but in art school I hung with a lot of them, I think we mutually found each other's sides of the academic houses very cool.
by watwut | 2025-07-07 12:00:24+00:00
Meh, what was actually missing in media was accurate representation of political right goals.

Their good points are repeated all the time and their bad ppints are sanewashed. Their really bad points are ignored and you are called names when you accursately deacribe them. Until actually get their way at which point we blame the democrats for not opposing them strongly enough or for being supposed cause of backslash.

But, media and shows are afraid to show conservatives truthfully or in truly critical way.
by stared | 2025-07-07 12:00:43+00:00
> Wrong, because identifying what's part of the context is part of the problem. If you could just pick up what is relevant then the problem would be much easier

Well, it is one reason why it depends a lot on the user's knowledge of psychology and your general intro- and retrospective skills. As I mentioned, in unskilled hands it may have limited value, or be actively harmful. The same way as, say, using internet for getting medical advice. An skilled person will dive into the newest research; an unskilled is more likely to be captivated by some alt-med (or find medical research, but misinterpret it).

> And remember that when it fails you'll only have yourself to blame then

Obviously.

Assuming you are adult - well, it's always your responsibility. No matter if it is because you listen to AI, therapist, friend, coach, online bloger, holy scriptures, anything. Still, your life is your responsibility.
by suyjuris | 2025-07-07 12:00:53+00:00
The judge appears to disagree with you on this. They found that training and selling an LLM are fair use, based on the fact that it is exceedingly transformative, and that the copyright holders are not entitled to any profits thereof due to copyright. (They also did get paid — Anthropic acquired millions of books legally, including all of the authors in this complaint. This would not retroactively absolve them of legal fault for past infringements, of course.)
by mlivneh | 2025-07-07 12:02:06+00:00
Hi HN, creator of fireClass here.

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It's a platform that "wraps" any web content with a real-time classroom infrastructure. With one click from my PowerPoint, I can send an app to all my students and get tools for live polling, AI-powered analysis of their answers, and communication channels.

A few key aspects: * *The Pedagogy:* It's built around a "Two-Loop Feedback System," using AI to give me a real-time snapshot of student understanding, and a full summary report at the end of the lesson. * *The Tech:* It's Vanilla JS with a Firebase backend (using Cloud Functions for secure operations). Student access is friction-free with session-based IDs, so no student accounts are needed. * *The Testing:* The platform is validated by a suite of Playwright end-to-end tests that simulate multi-user classroom scenarios to ensure reliability.

I'd love for you to check it out:

* *Read the full story & see the visuals (Landing Page):* https://meir.world/fireclass-launch/

* *Try the Live Teacher Dashboard:* https://class-board-ad64e.web.app/

* *Student App Entry Point (requires a room code from the dashboard):* https://class-board-ad64e.web.app/student-app.html

* *An example of a wrapped app (Homer Face Recognition):* https://meir.world/face-recognition/

I'm here all day to answer any questions and would love to hear your thoughts and feedback!
by jqpabc123 | 2025-07-07 12:02:09+00:00
You're wrong and the proof is Texas --- a state that is literally overflowing with fossil fuel.

https://businessintexas.com/blog/texas-leads-us-renewable-en...

And here is the leading proponent of propaganda.

https://checkyourfact.com/2019/04/09/fact-check-trump-wind-t...
by gcanyon | 2025-07-07 12:02:17+00:00
In some contexts it's super-important to remember that LLMs are stochastic word generators.

Everyday use is not (usually) one of those contexts. Prompting an LLM works much better with an anthropomorphized view of the model. It's a useful abstraction, a shortcut that enables a human to reason practically about how to get what they want from the machine.

It's not a perfect metaphor -- as one example, shame isn't much of a factor for LLMs, so shaming them into producing the right answer seems unlikely to be productive (I say "seems" because it's never been my go-to, I haven't actually tried it).

As one example, that person a few years back who told the LLM that an actual person would die if the LLM didn't produce valid JSON -- that's not something a person reasoning about gradient descent would naturally think of.
by infecto | 2025-07-07 12:02:31+00:00
As much as I don’t like the administration, I don’t think this is necessarily true. Subsidies are being removed but I think most renewable has the chance to hold on its own. I do wish more of the markets worked closer to a an actual market like Texas which incentivizes creativity and trying to maximize. Renewables are so cost effective these days that most areas implement them and then natural gas serves as a useful baseload.
by bmacho | 2025-07-07 12:03:14+00:00
> So the goal is to impress the reader by letting him believe we will easily apply our easy linear algebra to real -> real functions. But we can't.

When you only have a finite number of functions (and the space they span), then you can apply your finite dimensional linear algebra, since n dimensional vector spaces over a field are isomorphic. You absolutely can gain intuition for real functions from arrows on a paper type vectors.

E.g. the article mentions the Cauchy-Schwartz inequalities for functions, that's something you can intuit when you imagine our functions being little arrows on a paper.
by curt15 | 2025-07-07 12:03:55+00:00
The OP had an issue with the claim

>that the xAI air pollution disproportionately affects black neighbourhoods.

So is it true or not? If it true, the outcome is not equitable whether you call it racism or (probably more accurately) classism. It's part of the pernicious pattern among powerful companies of privatizing profits while socialising costs.
by bryanlarsen | 2025-07-07 12:03:58+00:00
> A young executive had made some bad decisions that cost the company several million dollars. He was summoned to Watson’s office, fully expecting to be dismissed. As he entered the office, the young executive said, “I suppose after that set of mistakes you will want to fire me.” Watson was said to have replied,

> “Not at all, young man, we have just spent a couple of million dollars educating you.” [1]

[1] http://the-happy-manager.com/articles/characteristic-of-lead...
by mpweiher | 2025-07-07 12:04:19+00:00
That's actually not true. Running costs of nuclear power plants are extremely low, some of the lowest of all energy sources.

The reason that NPP operators now require guarantees from governments is to offset the incredibly lopsided benefits offered to intermittent renewables, including subsidies, cheap loans, guaranteed income regardless of demand and priority.

Nobody can effectively compete with the government handing out those kinds of benefits.
by vrighter | 2025-07-07 12:04:26+00:00
Except that a corrupt packet can easily be detected when compared to a valid packet (is the checksum valid?). There is an algorithm to execute that can tell you, with high confidence, whether a given packet is corrupt or not.

In an LLM a token is a token. There are no semantics to anything in there. In order to answer the question "is this a good answer or not?" you would need a model that somehow doesn't hallucinate, because the tokens themselves don't have any mathematical properties such that they can be manipulated. A "hallucinated" token cannot, in any mathematical way, be distinguished from one that "wasn't hallucinated". That's a big difference.

All of the above stuff you mentioned is mathematically proven to improve the desired performance target in a controlled, well understood way. We know their limitations, we know their strengths. They are backed by solid foundations, and can be relied upon.

This is not comparable to an LLM where the best you can do is just "pull more heuristics out of someone's ass and hope for the best"
by bell-cot | 2025-07-07 12:04:43+00:00
Are you only interested in creating the web site? These days, that's easy.

Or are you interested in getting serious traction for the web site, and running it longer-term? The first is very difficult - especially if you don't have some internet-famous backers, to give you favorable shout-outs and such. The second is a lot of work.

Then there's the question of how you'll pay the bills. Including the lawyers advising you on that "within legal" stuff, and dealing with threatened legal actions against you. Which will include trying to unmask your users' identities, to sue them for defamation directly.
by qwertox | 2025-07-07 12:04:50+00:00
BTW, if you want to partially "smartify" your nice, dumb machine, using a Tasmota-enabled power socket which is capable of measuring the current in order to create yourself a notification system for when the washing machine is done, or when the microwave stopped cooking, can be a good solution.

It's easy finding dumb washing machines. I'd bet that most of the current washing machines on the market are dumb.
by incomingpain | 2025-07-07 12:04:57+00:00
Coding is obvious,the end goal is having coded something.

Vibe is the undefined.

Vibe the verb:

>to like someone or something and feel comfortable and happy with them:

>to enjoy playing, listening to, or dancing to music in a relaxed way:

>to have or create a particular feeling:

When you're vibe coding. You're coding with a happy, relaxed, good feelings.

So by definition you're not doing the unhappy, annoying, bad part of programming. You are flying by the seat of your pants. No structure, no testing, no planning. Minimal documentation? Whatever the AI puts in there i guess.
by machiaweliczny | 2025-07-07 12:05:14+00:00
My layman take on it:

1) We need some way of reliable world model building from LLM interface

2) RL/search is real intelligence but needs viable heuristic (fitness fn) or signal - how to obtain this at scale is biggest question -> they (rich fools) will try some dystopian shit to achieve it - I hope people will resist

3) Ways to get this signal: human feedback (viable economic activity), testing against internal DB (via probabilistic models - I suspect human brain works this way), simulation -> though/expensive for real world tasks but some improvements are there, see robotics improvements

4) Video/Youtube is next big frontier but currently computationally prohibitive

5) Next frontier possibly is this metaverse thing or what Nvidia tries with physics simulations

I also wonder how human brain is able to learn rigorous logic/proofs. I remember how hard it was to adapt to this kind of thinking so I don't think it's default mode. We need a way to simulate this in computer to have any hope of progressing forward. And not via trick like LLM + math solver but some fundamental algorithmic advances.
by scarface_74 | 2025-07-07 12:05:31+00:00
C is no more a raw access to the system and the APIs than calling the APIs from Perl was back in the day using the Win32 module.

I started programming in assembly in the mid 80s, C is a different level of abstraction

https://jvns.ca/blog/2013/11/29/what-happens-when-you-run-a-...
by hollowturtle | 2025-07-07 12:05:53+00:00
> Are you suggesting programmers aren't solving real-world problems?

Mostly not by a long shot, if you reduce everything to its essence we're not solving real world problems anymore, just putting masks in front of some data.

And no only a fool may believe people from El Salvador or people from other countries benefited from Bitcoin/Cryptos. ONLY the government and the few people involved benefited from it.

Lastly you didn't get my point, let me re iterate it: an coding assistant llm has it own strong biases given training set, an llm trained for doing therapy would have the same bias, each training set has one, and given the biases the code assistance llms currently have(slop dataset=slop code generation) i'd still rather prefer a human programmer as well i'd stil prefer a human therapist
by weatherlite | 2025-07-07 12:07:00+00:00
> I find LLMs to be generally intelligent. So I feel like "we are already there" -- by some definition of AGI. At least how I think of it.

I don't disagree - they are useful in many cases and exhibit human like (or better) performance in many tasks. However they cannot simply be a "drop in white collar worker" yet, they are too jagged and unreliable, don't have a real memory etc. Their economic impact is still very much limited. I think this is what many people mean when they say AGI - something with a cognitive performance so good it equals or beats humans in the real world, at their jobs - not at some benchmark.

One could ask - does it matter ? Why can't we say the current tools are great task solvers and call it AGI even if they are bad agents? It's a lengthy discussion to have but I think that ultimately yes, agentic reliability really matters.
by patrick41638265 | 2025-07-07 12:08:02+00:00
Same in some parts of Germany. In the area where I grew up in you can tell in which village a person is from just by the way they talk, and the villages are just ~3 km apart!

From what I know this is because it was a relatively remote, dangerous and poor region (all by the standards of hundred years back) which changed ownership a lot (between clergy, bavaria, prussia) and people were mostly left to themselves
by pigpop | 2025-07-07 12:08:34+00:00
> We understand essentially nothing about it. In contrast to an LLM, given a human and a sequence of words, I cannot begin putting a probability on "will this human generate this sequence".

If you fine tuned an LLM on the writing of that person it could do this.

There's also an entire field called Stylometry that seeks to do this in various ways employing statistical analysis.
by phendrenad2 | 2025-07-07 12:08:52+00:00
Heh, "it's probably tracked somewhere by economists". The more I learn about economics as a "science" the more I balk at the idea of giving them the benefit of the doubt, which people seem really willing to do for some reason. I know, it's scary that the economy might be a complex system that nobody understands, and it's easier to have "faith" that there is some shadowy economic cabal of god-kings who are keeping a watchful eye on it. But,.. yeah, that doesn't seem to be true, honestly.
by perihelions | 2025-07-07 12:09:37+00:00
It'd have to be a solar farm 3 kilometers on each side to meet a 400 megawatt load (with battery storage). If you take the entire block xAI colossus is on—it's 1.2 by 1.6 km—cut down all those trees, raze the elementary school (the one being smogged right now—did anyone notice there was a school right next to it?)—that, times five, is what you'd actually need.

https://www.google.com/maps/search/xai+colossus

The end goal is 2,000 megawatts for this datacenter, so multiply that by five again.

This CEO founded a solar power company, and a battery-storage company as well—I'm very certain he considered the all-solar option carefully, and rejected it for actual technical reasons; not vibes.
by acdha | 2025-07-07 12:09:39+00:00
This is the fallacy of trying to reduce everything to a single left-right dimension. HN has always attracted pro-business people as you’d expect for a forum funded by a venture capital firm, but that intersects with other policies in different combinations.

You have a lot of libertarians who might oppose government regulation in various ways but are often staunchly opposed to right-wing abuse of power to pursue political goals or reduce competition. Even business-friendly Europeans or Canadians often see the American healthcare system as bad since it costs more, distorts markets, and makes startups harder to launch.

Climate change is another split since the idea that it’s exaggerated or that mitigations would cause more economic damage than ignoring it are both false so you get a denial position which are outright lies funded by the fossil fuel industry but also more sober positions trying market-friendly approaches to minimize the economic impact of moving away from fossil fuels, and positions on that intersect based on other national traits (e.g. even politically conservative people from countries which don’t produce much oil or have a massive traditional auto industry are far more likely to recognize the self-reliance aspects of renewable power as compatible with their own positions). The climate tech industry is full of startups from people who think decarbonization is a huge opportunity and many of them would be considered right-aligned on business issues but left to the extent that you view accepting the scientific consensus on climate change as a left-wing position.