skysight-inc/HackerNews huggingface dataset:
I really hate the notion of "ultra-processed" foods. The NOVA food classification system[1], which established the term, is loose and unscientific about what "ultra-processing" means, and different articles use the term interchangeably with different types of foods, many of which could barely be considered to be processed beyond what a home cook might do.

For example, pictures of potato chips or bacon are often pictured and vilified as ultra-processed foods. The NOVA system describes these as "processed" (but not "ultra-processed") foods, and that's almost certainly the case. A home cook can make bacon by curing pork belly in salt and natural spices and then cooking it in a conventional fashion, or frying potato slices in oil and then salting them. Many bacons and potato chips list few ingredients beyond pork or potatoes, salt, and in the case of chips, oil. These can hardly be considered "ultra-processed", even if the American diet of cured and smoked meats may not be optimal for cardiovascular health. These are things people were eating for centuries, long before modern grocery stores and preparations.

But even then, the NOVA system is obtuse. Ice cream is listed as an ultra-processed food, even as you can pick up Haagen Dazs vanilla at Walgreens with only "cream, milk, eggs, sugar and vanilla." You can certainly make a simulacrum of it of similar quality at home using the same ingredients and an ice cream maker. Is it "healthy"? Almost certainly no! Is it ultra-processed? Also, almost certainly no!

Other "ultra-processed" foods according to NOVA are "sweetened and flavored yogurts including fruit yogurts" which again can be made at home using no artificial ingredients with... sugar and fruit, hardly ultra-processing. Chocolate milk is an ultra-processed food according to NOVA, consisting of... milk, cocoa and sugar, which again, you can certainly make at home and is not some sort of industrial concoction.

We are all well aware of the issues with excessive sugar and salt in the diet, and this was established long before any of us were born.

Everything you read about "ultra-processed foods" is junk science. There may well be certain preservatives or preparations that aren't good for us, but the classifications in place are total garbage, and don't point us to any actual risks beyond the natural ingredients we have all known to be problematic from time immemorial.

[1] The NOVA classifications: https://ecuphysicians.ecu.edu/wp-content/pv-uploads/sites/78...
ah yes, mention "ultra-processed foods" in the title and all of the comments are about the definition of ultra-processed foods and none about the article

which maybe would be fine, if people made a modicum of effort and researched the definition. Instead everyone is playing word games "what about this, what about that", "does it mean cheese is ultraprocessed", and implying a vague coverage at the edges means the whole concept is worthless
> Eth/IP/UDP/WG/IP/UDP/VXLAN/Eth/802.1q/IP/Payload

I'd love to see your IT manager's face when you propose it :D
Sweden? The country with one of the highest amounts of startups per capita? The Netherlands???

Are you sure you know what you're talking about?
" The danger is not that we will someday have to go to war with computers powered by artificial intelligence. The danger is that we will become a species of artificial intelligence ourselves."

This, I think, is true.
> A human does not do this.

You obviously had never asked me anything. (Specialy tech questions while drinking a cup of cofee.) If I had a cent for every wrong answer, I'd be already a millionair.
Big state U is in the middle of nowhere, and in those years I was paying closer to $250, but I could see if you were willing to compromise on quality or quantity of personal space, getting that down to $150 without even hitting bottom.
> we had a third-party candidate for the President of the United States whose primary claim to fame is his anti-vaxx stance

No, his primary claim to fame was the fact that he was the son and nephew of two assassinated beloved politicians from a US political family. The
media characterized him as an anti-vaxxer. However, he described himself as more an advocate for vaccine safety and simply treating vaccines with the same safety scrutiny processes as other drug approval processes in the United States.
Motor OS
It's unclear if Terence is referring to "GPT-o1... a prototype version of the model that I was granted access to" as in "he was given access to GPT-o1 by the research team" or as in "he is using o1-preview". The differences in scale and quality between his shared output and the answer I get trying the same prompt from o1-preview suggest perhaps the former (otherwise luck). I haven't actually seen any examples of how long o1 "full" will think about this kind of question, though I expect it's somewhere in the same ballpark given the thought expansion still only has one real concept in it.
My Synology uses two 120mm fans and you can barely hear them (it's on the desk next to me). I'm sold on the idea of moving more volume at less speed.

(which I understand can't happen in a 1U or 2U chassis)
Humans are hopeless as they can't even agree to writing numbers in a consistent way, even when using the same language, so much so that the same writing can have an altogether different meaning.
The HN title is misleading and clickbait. OpenAI is not supporting. Several employees of OpenAI et al may do.
It also doesn't help that Lean has had so many breaking changes in such little time. When I tried using GPT-4 for it, it mostly rendered old code that would fail to run unless you already knew the answer and how to fix it, which basically made it entirely unhelpful.
Honesty and accuracy builds trust.

And when you trust something it reduces the cognitive load because you don't have to build a mental model of the different ways it could be deceiving you and how to handle it.

Which is why for me at least when I use LLMs I find them useful but stressful.
The article addresses your point:

> Now, is any of this true art, you might ask, or is it merely entertainment? I’m not sure it matters. Chiang dismisses the value of generative AI for either, defending the craft required for supposedly lowbrow genre work. Movements like pop art weakened the distinctions between “high” and “low” art decades ago,...
there are some fascinating hypotheses on what's caused the worldwide exponential increase in obesity in humans (and also some wild animals). here is the best summary i've seen: https://slimemoldtimemold.com/2021/07/07/a-chemical-hunger-p...
It's actually less than half for the EU as a whole - https://erudera.com/news/statistics-show-41-of-eu-youngsters...
The cost of student loans is nothing compared to the value that those degree holders will provide. In my opinion, your first degree at a public university or community college should be paid for by the Federal government as long as you keep a certain grade average, and stick to a reasonable timeline.

If it matters to anyone, I paid off my loans entirely, but also received Pell grants.
So there would be an incentive for a university to actually teach marketable skills.

Of cause it is all wishful thinking: big corrupt institutions exist not as if nobody can come up with better solutions
Breaking the Illusion: The Case Against Anthropomorphizing AI Systems
That’s an example of why I phrased things as I did. At least one human understands they will die. If we prefer to define that as natural death, that’s acceptable for the purposes of this discussion. I was not referring to anything beyond that.
> people who complain on HN that (paid/good - only Sonnet 3.5 and GPT4o are in this category)

Correction: I complain that the only decent model in "Open"AI's arsenal, that is GPT-4, has been replaced by a cheaper GPT-4o, which gives subpar answers to most of my question (I don't care it does it faster). As they moved it to "old, legacy" models, I expect they will phase it out, at which point I'll cancel my OpenAI subscriptions and Sonnet 3.5 will become the clear leader for my daily tasks.

Kudos to Anthropic for their great work, you guys are going in the right direction.
it's the point-line postulate, you can use it as part of a set of axioms equivalent to Euclid but it definitely not one of Euclid's

https://en.wikipedia.org/wiki/Point%E2%80%93line%E2%80%93pla...
What's going to stop young people from declaring bankruptcy immediately after doing anything?
Location: Berlin, Germany
Remote: Yes
Willing to relocate: Yes
Technologies: Agile Product Manager/Product Owner (CSPO). Serverless AWS, Azure DevOps, Tableau, Datadog, Hubspot.
Résumé/CV: https://drive.google.com/file/d/1cx8KyhbxOZu8uCDIzNY_dmoq2VkU2DfO/view?usp=drive_link
https://www.linkedin.com/in/alexeynevenitsa/
Email: anevenitsa@gmail.com

2 years of experience as a Product Manager/Owner in B2B SaaS, where I lead presales efforts, presales from prospect to customer acquisition, multi month trial setup (very tech heavy product, airlines), 3-12 month trials. Manage the entire product lifecycle, from backlog prioritization to delivery, troubleshooting and support and documentation. Secured multi-year 7 fig contracts with major clients, including two EU airlines.

Before that, 1 year in Quality Assurance, Customer Support, and Technical Writing. Designed test cases, maintained technical documentation, and provided direct support to resolve complex client issues.

2 years of exp as an Aeronautical Engineer, Electronic Flight Bag, aircraft performance analyses, and led projects for aircraft maintenance. I ensured regulatory compliance and collaborated with cross-functional teams.

Earlier, I gained over 5 years of experience in customer support roles, troubleshooting technical issues, managing RMAs, and maintaining network systems.

Optimist in all things, even when the world is crashing, excel in sync or swim. Communication, kindness, prioritization and execution.
I'd be fine with letting an extension take over that niche ... if they made an API that let it replace the horizontal tabs instead of only being able to duplicate the tabs in the sidebar. Or even a way to configure that as a user.

That is how tree style tabs worked before Firefox switched to webextensions. And when Firefox switched to the we extensions API, a ticket was immediately opened requesting an API allowing hiding the horizontal tab bar. But despite some initial interest, nothing really ever happened with that.
Is there a list of discoveries or siginficant works/constructions made by people collaborating with LLM's? I mean as opposed to specific deep networks like Alphafold or Graphcast?
It would be cool if there was a website where people could list apps that users want de-googled. I think the biggest decoupling programmatically might be dealing removing Google Play Services
I know what the Streisand Effect "means". See my statement: "I think the concepts behind these terms make sense, though."

I am also not trying to argue about rights to privacy. There are already many threads on this website about privacy.
This is not uncommon. At my last job we had double VXLAN.
1.5% interest is well under the rate of return I got in the market over that period. I was making minimum payments the whole time.

The payments were tiered somehow. I think I was paying around $50 a month when I graduated and that ended up at like $140 by the time I paid it off.
> But you can't just charge random amounts post factum without the person having any idea why they suddenly owe those amounts.

Is it actually different from paying a contractor to do some work for you on an hourly basis, and them then having to "think more" and thus spend more hours on problem A than probably B?
Yeah just make it dischargeable after X years. It would be fair even to current holders of student loans.
What makes Holly Herndon and Mat Dryhurst so special? There are tons of artists working with AI, some even before these two particular artists were even born.
> I went to Georgia Tech over other universities because it was in-state and Georgia has generous scholarships for students with good grades. So why does competition among schools not lower costs?

All the schools have access to loans that are guaranteed to be repaid. We still have the mindset that degrees are required for employment (I'm not commenting on whether that's good or bad; that's just the current cultural mindset). Because of this, schools have no incentives to control costs. The students will go regardless because they have access to money that will pay for the tuition, no matter how much it costs. There's no penalty for the universities to raise costs because they will get students anyways.
How many doublings are needed until we harness the entirety of observable universe into building a huge computer?
> Had a 75% scholarship to help with tuition.
Non-stolen can be unlocked in Find My.
it's definitely wrong though, "exactly one" straight line between two points is a different postulate and a stronger one.

Euclid has been translated, restated, and re-presented in enough books and textbooks that I'd expect a big-enough LLM to have actually memorized this correctly tbh
> I've found that I haven't written a line of code in weeks

Which is great until your next job interview. Really, it's tempting in the short run but I made a conscious decision to do certain tasks manually only so that I don't lose my basic skills.
The title is "OpenAI, Anthropic, Google employees support California AI bill"
I don't think it's true that modern LLMs are used to replace human beings in the general case, or that any significant number of people believe they exceed human ability in every relevant factor.
Show HN: GrowPi – Watch Pi grow in real-time with visitor clicks
Hey HN,

I’ve built GrowPi, a fun real-time app where every click from visitors adds one decimal place to Pi. Watch the decimal expansion live as people around the world contribute

I would love to hear your feedback!

Thanks.
Humans have two qualities that make them infinitely superior to LLMs for similar tasks.

a) They don't give detailed answers for questions they have no knowledge about.

b) They learn from their mistakes.
Would it be feasible to build a larger application using a language like Factor? I have no experience with concatenative programming, and it seems interesting, but I also get the feeling that larger systems would become rather complex and hard to read.
I think this is the result of narrative structure falling by the wayside in lots of popular canons. You can tell a million variations of the odyssey because Odysseus is nobody. You can plop just about any set of characters into the story and it works. We still have stories like this, the Mission Impossible series is the same story told differently, the new Twister is a retelling, anyone can be James Bond. But if you want a long running series you need an interesting universe to explore (which requires rules and consistency) and/or compelling characters people want to put in situations. It's why Family Guy can do a Star Wars episode but Star Wars can't do Family Guy, it's why the Ghost Buster's retelling flopped because they thought it was a narrative story but it was actually a character story.
My experience with O1 has been very different. I wouldn't even say it's performing at a "good undergrad" level for me.

For example, I asked a pretty simple question here and it got completely confused:

https://moorier.com/math-chat-1.png
https://moorier.com/math-chat-2.png
https://moorier.com/math-chat-3.png

(Full chat should be here: https://chatgpt.com/share/66e5d2dd-0b08-8011-89c8-f6895f3217...)
Business culture's tribal knowledge about technology seems to have by and large devolved into wanting only bossware, that all gizmos should function as a means of controlling their suppliers, their labor force, or their customers. I think this is a good sign that the current economic incentives aren't functioning in a desirable way for most people and this needs significant intervention
> A human does not do this

Have you met humans?
What prevents them from being repurposed?
I think there's a useful distinction between plausible-seeming text that is wrong in some subtle way, vs text that is completely fabricated to match a superficial output format, and the latter is what I wish people used "hallucination" to mean. A clear example of this is when you ask an LLM for some sources, with ISBNs, and it just makes up random titles and ISBNs that it knows full well do not correspond with reality. If you ask "Did you just make that up?" the LLM will respond with something like "Sorry, yes, I made that up, I actually just remembered I can't cite direct sources." I wonder if this is because RLHF teaches the LLM that humans in practice prefer properly formatted fake output over truthful refusals?
It's an inaccuracy.
> Let me know if you need any further revisions!

Fun, you got me :)
“Invest billions of dollars in new cranes”
Or maybe remove the fucking modems?
s/b "Enlighten, please"
Does it matter that, like so much in the Math for AI sphere, core details seem to be totally bungled? e.g. see various comments in this thread https://x.com/waltonstevenj/status/1834327595862950207
There are certainly certain categories of chemical that might be of interest. For instance you don't normally find emulsification agents in non-processed food but you do in industrial food, whether the particular chemical is made in a lab or extracted from some plant or other. But many, many other ways that we industrially manufacture food are obviously no worse than making our own noodles at home.
I'm wondering if the investment size is normalized here? I.e. are these all ycombinator like $500K investments or is there wide range? If there is a considerable range, is there any correlation to investment size?
Interesting to see history repeat itself every 3-4 generations. Are we, as humans, incapable of having longer-term collective memory?
Anecdata, but I've been finding O1 to be worse than 4o & Claude 3.5 Sonnet. To add insult to injury, it's slower & chattier.
I don’t know the technical philosophy terms for this, but my simplistic way of thinking about it is that when I’m “seriously” talking (not just emitting thoughtless cliché phrases), I’m talking about something. And this is observable because sometimes I have an idea that I have trouble expressing in words, where I know that the words I’m saying are not properly expressing the idea that I have. (I mean — that’s happening right now!)

I don’t see how that could ever happen for an LLM, because all it does is express things in words, and all it knows is the words that people expressed things with. We know for sure, that’s just what the code does; there’s no question about the underlying mechanism, like there is with humans.
Maybe with vanilla LLMs, but new LLM training paradigms include post-training with the explicit goal of avoiding over-confident answers to questions the LLM should not be confident about answering. So hallucination is a malfunction, just like any overconfident incorrect prediction by a model.
> can kind of make things up but still make them believable

This is the definition of a bullshitter, by the way.
The one fundamental that you have to understand about all government is that it is essentially a monopoly on violence. That monopoly enables things like taxation and broad social consensus and consent.

But, it's there, and if Bitcoin began to chip away at the core of any state you can expect it to be used.

Some people say that they can't take my gold.
Some people say that they can't take my guns.
But history says that they can and will and have.
Well that's kinda the whole idea of Y Combinator, isn't it? Sometimes you really do need to be blind to all the pitfalls to take your lucky shot at it, but adding some prior experience into the mix can help you not shoot yourself in the foot along the way.
Why do you expect GPT being tuned on Lean will help it for research-level math?
Your comment is a bit snarky and I understand what you're saying but my understanding was that everyone thought Moore's Law was over when the computers stopped getting 2x faster every 18 months but that's not what Moore said. He said the transistor count would double amd it just so happened that that meant computers got a lot faster too because they benefited from all the xtra transistors. But GPUs do still get faster with more transistors because of the embarrassingly parallel nature of many matrix operations. So doubling the transistor count could still effectively significantly improve the speed and reduce time of AI training which is dominated by matrix math. Am I wrong? Did the transistor count doubling also slow down?
Reminds me of the The Katering Show. They did an episode on making placenta lasagna, called plasagna: https://www.youtube.com/watch?v=-LhgJjicMz8
LLMs are certainly not useless.

But "lines of code written" is a hollow metric to prove utility. Code literacy is more effective than code illiteracy.

Lines of natural language vs discrete code is a kind of preference. Code is exact which makes it harder to recall and master. But it provides information density.

> by just knuckling down and learning how to do the work?

This is the key for me. What work? If it's the years of learning and practice toward proficiency to "know it when you see it" then I agree.
I do not know what the article is about[1] but I will say that the conservatism of yesteryear (I grew up in the 1980s) was significantly different than it is today (at least widely reported mainstream conservatism). As a kid the prototypical conservative was Barry Goldwater[2]. I do not think old conservatives / libertarians are really represented by anyone any longer.

1: Will read when non paywall is posted. Is there an easy description on how the archive stories are made?

2: https://en.wikipedia.org/wiki/Barry_Goldwater
For the US there are about 7k pedestrian deaths and 42k car deaths per year so pedestrian deaths are lower but still significant.
From Event-Driven to Durable Execution: Distributed Execution Flow Paradigms
This is not at all obvious. Freezing veggies involves washing, cutting, and blanching processes and vegetables may be subjected to ultrasound during freezing to accelerate the process.
> Meanwhile, in the real world, I've found that I haven't written a line of code in weeks. Just paragraphs of text that specify what I want and then guidance through and around pitfalls in a simple iterative loop of useful working code.

could it be that you are mostly engaged in "boilerplate coding", where LLMs are indeed good?
we don't know how to reliably produce humans who produce GR-level ideas, this might be biting off a lot more than we can chew
I'm optimistic about it, but probably won't switch over my home lab for a while. I've had quirks with my (now legacy) zsys + zfs on root for Ubuntu, but since it's a common config//widely used for years it's pretty easy to find support.

I probably won't use bcachefs until a similar level of adoption/community support exists.
The pool of operating system penetration testers will be absolutely devastated if a rust OS becomes mainstream.

Most, if not all, vulnerabilities are related to lack of memory safety.

Well, guess there’s always the application/user space.
Smart. Cash in on the fad while you can.
> HN, and the internet in general, have become just an ocean of reactionary sandbagging and blather about how "useless" LLMs are.

This is cult like behaviour that reminds me so much of the crypto space.

I don't understand why people are not allowed to be critical of a technology or not find it useful.

And if they are they are somehow ignorant, over-reacting or deficient in some way.