skysight-inc/HackerNews huggingface dataset:
I'd go with "no", because people just consuming the output of other people is a big ongoing problem. Input from the universe needs to be added in order to maintain alignment with the universe, for whichever "universe" you are considering. Without frequent reference to reality, people feeding too much on people will inevitably depart from reality.

In another context, you may know this as an "echo chamber". Not quite exactly the same concept, but very, very similar.

I do like to remind people that the AI of today and LLMs are not the whole of reality. Perhaps someday there will be AIs that are also capable of directly consulting the universe, through some sort of body they can use. But the current LLMs, which are trained on some sort of human output, need to exclude AI-generated input or they too will converge on some sort of degenerate attractor.
This looks neat, thanks!
Check out https://github.com/MxDkl/AutoWiki (there are project with similar names doing stuff like this)
I'm still waiting for the USA to "innovate" on a way for everyone to get health care, although sometimes I suspect the lack of a solution there and general lack of regulation at large is part of why American has such "high innovation".
Exactly. If you're identifying targets by noisy proxy signals (geo/IP + behavior?) then you're going to have non-zero false positives.
Is it good enough to realloc down to the number of bytes you’d want copying, and then realloc up to your desired buffer size?
More importantly, Base58 is orders of magnitude slower than Base64/Base32/Base16 due to O(N^2) algorithms required to encode/decode it. Blockchain software is already trying to get rid of it. Adopting Base58 now would be shortsighted.
Makes sense, have to get my hands dirty.
I agree with this sentiment but I also must say that the time's I've needed inheritance have been few and far between. I have seen really good examples where it works really well (UX is pretty common, but I've also seen really clean cases like data structures with complex interfaces and a simple abstract class).

Where I think inheritance works best is when the state in base classes is limited and the interface is quiet clear. Ideally where you are meant to override is also well defined.

Where it's the worst is when someone tries to use inheritance because they notice coincidentally duplicate code. The worst hell for this is in application configuration. I've seen 5 layer deep inheritance trees to handle really basic things like "what port should this app bind to". It saved no code and introduced a bunch of complication around the transitive dependency baggage it brought on board.

IMO, configuration should always be done via composition. It's more than fine to have a bunch of smaller composable config pieces just so long as you can easily jettison the broken parts.
Isn't there some kind of voice or video generation model that says "be sure to like and subscribe" given an empty prompt?
They are already on the Internet Archive as Kiwix archives.
> The real differentiation lies in your data you feed into your models.

It's more than data. Steven Jobs used to tell the founders of the Segway that their secret technologies would leak sooner or later, even if they set up their factories in the middle of a desert in Nevada. His advice to the founders was that they needed to build a product that users couldn't get away from even if all the competitors had the same technology (or so I remember). That could be a process, an ecosystem, market penetration with an amazing supply chain (think about the largest seller of straws in the world. The unit price of a single straw is close to 0, which is really hard to achieve), and etc.

To me, data will just be one key component of the moat but not all. The moat of AI is the same ol' entire ecosystem: an infrastructure that is so efficient that the company can keep driving down the unit price of hosting the AI models; a fabulous culture to enable the company to keep churning out improvements; an extensive data platform and the associated process and sources that keeps provisioning quality data, a number of killer applications...
I'm guessing the closest equivalent in languages like Java or C# are interfaces, right? Underutilized IMO.
Q: Anyway, my problem with the argument is that some mammals obviously survived. Why? We had worse lungs, roughly the same amount of protection against the cold as many small dinosaurs... so what gives?

A possible answer from this article (https://www.scientificamerican.com/article/how-mammals-conqu...)

The earliest Paleocene scene is dire. There is a fossil locality in Montana dated to approximately 25,000 years after the asteroid hit, called the Z-Line Quarry. It reeks of death. Almost all the mammals that flourished in the region in the Cretaceous are gone; only seven species remain. Several other fossil sites divulge what was happening over the next 100,000 to 200,000 years. If you pool together all mammals from this time, there are 23 species. Only one of these is a metatherian; these marsupial ancestors, once so abundant in the Cretaceous, were nearly extinguished. All told, if you consider the entire Montana fossil record, along with other data from across western North America, the statistics are grim. A paltry 7 percent of mammals survived the carnage. Imagine a game of asteroid roulette: a gun, with 10 chambers, nine of which hold a bullet. Even those odds of survival are slightly better than what our ancestors faced in the brave new world of the Paleocene.

This bleak state of affairs raises a question: What allowed some mammals to endure? The answer became apparent when Wilson Mantilla looked at the victims and survivors. The survivors were smaller than most of the Cretaceous mammals, and their teeth indicate they had generalist, omnivorous diets. The victims, on the other hand, were larger, with more specialized carnivorous or herbivorous diets. They were supremely adapted to the latest Cretaceous world, but when the asteroid unleashed disaster, their adaptations became hardships. The smaller generalists, in contrast, were better able to eat whatever was on offer in the postimpact chaos, and they could have more easily hunkered down to wait out the worst of the bedlam.

As ecosystems recovered in the earliest Paleocene, many of the mammals that started to multiply were eutherians, the placental antecedents that were once bit players in the Cretaceous. Their tiny bodies, flexible diets, and perhaps faster ways of growing and reproducing allowed them to commandeer open niches and start building new food webs. Around 100,000 years postasteroid a new eutherian appeared in Montana and swiftly became common. Purgatorius, with gentle molar cusps for eating fruits and highly mobile ankles for clinging and climbing in the trees, was an early member of the primate line. It, or perhaps another closely related eutherian, was our ancestor.
Depends where and when. China has largely fixed its air quality problems as of 2024.
No? One of the side effects of running an open competition is that it focused attention on a variety of competing options for this, all of which were formalized, recorded, and publicly evaluated by the world's academic cryptography experts. We're strictly better off as a result, and much of NIST's own work would still be valuable even in a hypothetical scenario in which none of LWE was quantum-safe.
Python also has protocols: https://typing.readthedocs.io/en/latest/spec/protocol.html#p...
> It just needs to be logically sound, consistent with facts about the world, and objectively useful

So not an LLM then.

> In the case of AI, your prejudice against math and formulas as effective forms of reasoning means you can't critically analyze - or gain benefit from - statements the AI makes.

You ought to have a more skeptical view of mathematical models that may or may not be effective models of the world.

> It's very similar to the internal blockage of a person who immediately dismisses anything a woman, racial minority, mentally ill, or queer person says. The only way to repair it is to spend time talking to the AI, reading about it, and learning how to debate ideas.

Impossible to take this seriously. Borderline parody. If you were at all curious, you would perhaps be questioning the intention of the corporations building this software. Instead you make absurd comparisons with racism.
I don't think this is wholly wrong, but there is an alternate explanation for why a small number of physicists advanced the field so much in the early 20th century while a ton of physicists don't advance it today.

All the low hanging fruit has been picked.

All we have left today in fundamental physics is the edges of particle physics and quantum gravity, and the latter has so far proven hard to research without convenient access to a black hole or a particle accelerator the size of the Moon's orbit. Convenient access to a black hole would be so cool we even made a movie about it (Interstellar).

Outside fundamental physics a ton of these new physicists are working on important but niche problems: superconductivity, condensed matter, plasma physics, fusion, all kinds of materials science, etc. A lot of that stuff didn't exist at all back then, or only existed as a theory prediction or a proof of concept.

A similar problem exists in other hard science disciplines. It's just easiest to wrap your head around in physics because the edges of our understanding are more clear.

Soft sciences and humanities are by definition factional and open ended, so in that case more people just means more discourse.

My point is that I think more than one thing is going on, and I don't think you can attribute stagnation to a single cause.

When you make "then and now" comparisons, you have to look at the entire picture of what has changed. Single-cause analysis is almost always wrong.
Which is crazy because there's plenty of good content for kids on Youtube (if you really need a break!). Blippy, Meekah, Seasame Street, even that mind-numbing drivel Cocomelon (which at least got my girls talking/singing really early).
I live in a place where there is ice outside all winter. During winter the cold air can't hold moisture as much as hot air and most of the days are at 100% humidity even at -20 because the air simply can't hold more.

I might try this out on the deck next season but I don't assume ice is just going to sublimate away because it's literally outside all winter and doesn't go anywhere.
> I will never understand keeping so many tabs/windows open at all times either

Wait till we tell you about virtual desktop and that each virtual desktop has its own set of windows. Is turtles all the way down.
College students are a traditional target of oppressive or authoritarian regimes. Teaching young adults to view the world through different lenses and systems is an important part of most college programs, as is a significant amount of self-discovery, and both lend themselves very well to activism, especially since young adults are rarely so jaded as to feel like they "can't do anything about it"
I know you're kidding but for the benefit of the class isogeny schemes were pulled when their best candidate design turned out to be breakable with a Python script owing to obscure non-cryptographic mathematic research from the 1990s.

I'd expect we're not getting isogenies back. :)
People are moving away from OpenCL. The big problem is driver support. The transition from 2 to 3 was a mess, performance is all over the place on some functions between intel/amd/nvidia, and Apple is at the point of just leaving it out.

People have even started using Vulkan in its place for some GPGPU, because at least Vulkan has good drivers everywhere, being a low-level API.
OLAP databases need to be able to handle billions of rows per hour/day.

I super love PG but PG is too far away from that.
Sure, but why would that inherently relate to whether the graduates were smarter? There was less of a need or expectation to get college degrees, so most people didn't. Now there is, and so most people do. It's not necessarily that the smartest 7% were the college graduates.
> Only if the person picked via nepotism isn’t competent.

It'd be interesting to know how much this phenomenon would explain the stability of otherwise culturally ossified regimes that stood for four or five centuries before collapsing, where government was built almost entirely out of extreme nepotism in which the ruling potentate had 50 or 60 kids to choose from, and thus had a shot at picking the most capable from the, er, top of the class.

Or the most ambitious /ruthless pick themselves, taking the old man and/or their dangerously competitive siblings out of the picture.

Either way there is a little more competition involved then what we normally think of with a modern family unit.
Why School Buses Haven't Changed Much Since 1939
Higher end home users are doing 25, 50 and 100 Gbps. Hardware is actually rather affordable now.

Although there's just not enough PCIe bandwidth in current consumer hardware for 100 Gbps...
Maybe you have users which will spam one of your services until they get something that has b00b in it.
You probably have been targeted with the more advanced spyware that Apple hasn’t detected yet. ;)
I thought it was fairly well reasoned in the article.

Let's say you have a customer with that UUID as their ID. Do you expect them to recite their UUID perfectly to you every time? What if they made 5 transactions, each with their own UUIDs and you need to look them up, do you now expect them to read out 6 fairly unwieldy IDs?

The article is about the UX of UUIDs. Yes, there's a translation layer and more dev work to implement, but the shorter size and use of non-ambiguous characters is a massive improvement in the usability for the end users.
> at least where I am at, the contractor rate is more than double the FTE rate.

But the big money in tech is in your options/RSUs, not base pay. And contractors don't get options. (Usually anyway; I've been given options as a consultant once but usually don't see that.)
Most of what you hear about that are exaggerations and rumors, mostly based on this video https://www.youtube.com/watch?v=8o-n6vZvqjQ. People cite lines like "don't sympathize with Shelly" to jump to the conclusion that Kubrick "ordered the cast and crew to alienate her". Or they cite making her do 60 or however many takes, as if that constitutes abuse. I wonder if the abuse allegations are compounded by Wendy Torrance being so vulnerable and scared in the movie influencing perception of the actress, and also some kind of collective guilt for the initial uninterested to negative critical reaction to her performance.
It's not, in fact, the only way. The alternatives are time and/or money. Not having access to the resources needed to accomplish something is not a license to resort to socially unacceptable means.

Now, there's an argument to be made that actors who accepted to work under Kubrick knew (or at least ought to have known) what they were getting into, which blurs things a lot in this specific case. But "It's the only way" is going too far imo.
I’m in China right now and I can unequivocally tell you that this is not true. I can hardly see the sun and it’s not due to overcast weather.
Here's what I envision (note: impossible with current state of the art)

A model that can be incrementally trained (this is the bit we're missing) hosted by a nonprofit, belonging to "we the people" (like wikipedia).

The training process could be done a little like wikipedia talk pages are now - datasets are proposed and discussed out in the open and once generally approved, trained into the model.

Because training currently involves backpropagation, this isn't possible. Hinton was working on a structure called "forward-forward" that would have overcome this (if it worked) before he decided humanity couldn't be trusted [1]. It is my hope that someone smarter than me picks up this thread of research - although in the spirit of personal responsibility I've started picking up my old math books to try and get to a point where I grok the implementation enough to experiment myself (I'm not super confident I'm gonna get there but you can't win if you don't play, right?)

It's hard to tell when (if?) we're ever going to have this - if it does happen, it'll be because a lot of people do a lot of really smart unpaid work (after seeing OpenAI do what it did, I don't have a ton of faith that even non-profit orgs have the will or the structure to pull it off. Please prove me wrong.)

1 - https://arxiv.org/abs/2212.13345
I suspect it's overblown today. Hopefully it'll be overblown indefinitely.

However, if AIs become as successful as Nvidia stock price implies, it could indeed become difficult to find text that is guaranteed to not be AI. It is conceivable that in 20 years it will be very difficult to generate a training set at any scale that isn't 90% already touched by AIs.

Of course, it's conceivable that in 20 years we'll have AIs that don't need the equivalent of millennia of training to come up to their full potential. The problem is much more tractable if one merely needs to produce megabytes of training data to obtain a decent understanding of English rather than many gigabytes.
Ask HN: Will the success of LLMs make CS degrees important again?
I suspect self-learning is almost impossible for writing state of the art LLM code.
I had the same experience. I’m a few years into using rust now - which doesn’t implement inheritance at all and I don’t miss it. In typescript I barely use classes at all. I prefer an interface paired with a constructor function.

I think it’s almost always better to first think of data as a struct, with associated code that acts on that struct. As the old saying goes, show me your data structures and not your code, and you don’t need to show me your code.
Scrabble makes historic change to game with less competitive, inclusive version
> If you have to work after school and didn't have time to study for an exam, maybe you should go to a less competitive school. If you're not prepared enough, getting into a very challenging school isn't good.

Getting extra tutoring, focused on improving your test results, does not make you more prepared for college.

It's not like your analogy.
Predicting solar eclipses with Python · Erik Bernhardsson
Hmmm. I have exactly zero occurrences of implementation inheritance in my code base.
As a base for researching the idea, Wikipedia seems like a decent data source.

For broader implementation you would want to develop the approach further. The idea of sampling other-language Wikipedia mentioned in a sibling comment seems to be a decent next step.

Extending it to bringing in from wider sources would be another step. I doubt it would be infallible but it would be really interesting to see how it compares to humans performing the same task. Especially if there were a additional ability to verify written articles and make corrections.
Main reason I use c++ is because it has the most mature libraries.

I gave Rust a try, and lots of nice things about it. But many of its libraries are not very mature.
Unicode call it a lowline. PostScript calls it underscore and HTML says UnderBar.
I’ll concede that I can’t prove anything in one direction or the other. Years ago I did admire Musk for these things though, and yet the more I learn the less confidence I have that he truly was instrumental in these developments in a way that meaningfully changed the course of history (sorry determinists).

His individual actions certainly bumped things forward. I suppose what I doubt is that no one else would have done that, or that steady gradual adoption wouldn’t have been as far off as we imagine.

I should add a disclaimer here that I don’t feel very strongly about this stuff, and I’m pretty comfortable with being wrong. I also don’t have any major hang ups about Musk; he has undeniably done some great work.
The Fed may have no choice but to tip the US into recession, economist says
I think this may be why manufacturers like Kia/Hyundai offered so many models that are ICE/hybrid/EV versions (see 2017-2022 Ioniq, Niro), now just ICE/hybrid/PHEV (Sportage, Sorrento). Could be their answer to parts availability contracts for their tier-1 suppliers.
beautiful but also sad for obvious reasons. having been to vietnam (a couple times by now) one of the first things i noticed was how life and work are not just seemlessly connected there but in fact appear inseparable and in some cases practically identical. this is somewhat common in many developing countries of course but for vietnamese people entrepreneurship seems to be part of their dna. even in other asian countries i didn't see so regularly families having dinner in what was a shop for clothes or a garage just an hour ago. almost every business there is a family business. so, it's no surprise that this young fellow just naturally decided to financially support his family by following in his father's footsteps when he got sick. i'm absolutely sure there was no sensationalist interests or seeking of danger at play. he probably would have preferred to go to school and play with his friends. it was simply the natural decision to take in times of uncertainty and danger.
Cause it doesn’t scale.

I mean there are a bunch of gadgets that are somewhat interesting to touch, but the real stuff would require someone to do something to you (the robotics isn’t there yet to create an experience that is both interesting and reproducible).

A bunch of contemporary artists actually focus primarily on the sense of touch. A French artist for example named Myriam Lefkovitz does pieces in the dark.
Foxes were made for that
An even better UUID UX would cycle through colors when you clicked one and then would overlay the assigned color when you see that same UUID elsewhere. Better to find a needle in a haystack if it's the only one with a pink background.
The crazy thing is the US is probably one of the most affordable places in the developed world even now!
Sure.

There is a doctrine in law called the fruit of the poison tree.

That evidence that was obtained illegally (even with a fair degree of removal) is not valid.

I want that as a defendant.

Pernkopf Atlas is a thing, its origins are tainted, we all know it. Yet it's still used. It is very much the fruit of a poison tree. Even if the externalities are awful there is still lots of intrinsic value there. Nothing in the world is free of that taint, and if it is all that one seeks then were going to have to burn everything.
Mistral CEO confirms new 8x22B model is Apache 2.0
I don’t like playing board games with ultra-competitive people. But I also really dislike co-op games. Friendly competition is a lot of what makes games fun.
Reading between the lines, one thing that I expect Apple has but may not be discussing -- root-cause replayability post-infection, across all Apple devices.

I.e. infection is eventually discovered, Apple isolates the vulnerability's entry point, then Apple has some ability to re-scan all devices to detect which may have also had the attack targeted against them

Hashing some data that can serve as a fingerprint makes sense from a herd standpoint (hell, even something as simple as call stack after iMessage received)
I have worked with non-lazy engineers too. The amount of convoluted barely working franken stuff they come up with is staggering. No obstacle will stop them from digging the hole deeper.

Nah, they are alright. The real issue is they are so busy working, they never stop to really think about what they are building.
Show HN: Made a lil' TODO script in Python
voDO, is a simple python script that can be ran as a cmd. Once installed, it generates a TODO file in the current working directory that it is executed in. It can even do task tracking given that there is a voDO-formatted TODO file, and there are uncompleted tasks that need updates. It’s not magic, it’s voDO!
Agreed -- very odd to use a parameter (bin width) in a nonparametric estimation. Just use the raw data. In numerical analysis, broadly speaking, integrals are stable while derivatives are wild; an empirical cdf is a nice smooth integral of the messy pdf.