skysight-inc/HackerNews huggingface dataset:
How not so? I don’t get what you mean.
Supports every new thing and has new formats. Only one gimmick was disabled in the devs/smogon formats on the previous gen as it did work very well for those (but was great in the official ones)
So I would really like to know what you mean by it not about the new.
How many kilometers cycled and driven?

I find it very dubious to assume that cars drive the same amount of kilometers as bikes in the Netherlands...
> All this was a problem under X

What is the problem under X? I set the compose:ralt xkboption for the server and the clients don't even have to know about it.
No, Musk in turn buys German deserts and builds his car assemblies there.
The purpose of copyright is to incentivize the creation of art by fairly compensating the creators. If creators cannot be compensated fairly, then artists cannot devote their full efforts to being creative, and thus art and innovation stagnates.

The problem is that under current copyright law, having to purchase a distribution license for everything an AI learns in its training data would be cost prohibitive, to say the least, which also stagnates art and innovation.

I imagine a future where much of human effort is ultimately directed towards creating ground-truth data for a generative AI, whether that be text, pictures, art, or other media. I have a writer friend for whom this is happening already. We need to somehow incentivize ground-truth collection, and we don't have a way to do that right now apart from wages, which IMO is not sufficient.

To me, the question is not whether or not AI violates copyright, because we're clearly in new territory here. The question is, how do we properly compensate folks who are creating that ground-truth data? Do we need to restructure our economy from the ground up, or is there a path from the current capitalist economic model to doing this?
That’s all very well and good but users want sync between their desktop and mobile browser. Firefox on iOS (which can have a built-in blocker just fine, reskinned Safari or not, see: Firefox Focus) does not have a blocker and thus is wildly unsafe. I will actively steer people away from unsafe browsers.
I have a canon r6 and I cannot for the life of me get the webcam utility to work. The camera utilities work just fine. I can even remote shoot from my pc. But I have not been able to get the webcam utility to work. The support around fixing it that I have found does not fix the problem, but is always suggested is to turn off the camera utility software but again, I’ve tried that and many other things and can’t seem to crack the code..
Why? AI increases leverage, and makes it easier for entrants to provide value.
I believe it exists and here is a list of reasons for it: https://fonts.google.com/knowledge/introducing_type/introduc...
Your suggestion to someone whose multi-decade career was ended by AI is to play career whack-a-mole, try to guess which careers won't be next to be killed off, go back to school for several years, and pray?
Well, if you're serving reasonable amounts of text and not including a javascript kitchen sink. I mean yes, you probably should be serving library off an edge network, but I've seen stranger.

Then that goes out the window the moment you have any media on that Pi... ISP upload speed in the US is balls.

Oh, did I mention that most ISPs in the US don't allow hosting websites? So are you putting that Pi in a datacenter?

And, I forgot to mention, what happens with you piss off some bored troll and get DDOSed?
bill gates got honeypotted oh no anyway
There is indeed a mechanism by which you can “downgrade” from EB2 to EB3, but I think there’s lots of complexity and inefficiencies in the system which keep the dates apart.
Even if Neeva was free it still was compelling enough to unseat such a dominant incumbent. Especially since the search result quality is not obviously different to the consumer.
Yep as soon as SD dropped I went bullish on NVDA.

What's funny is that we on HN know there's no magic inside these chips, a sufficiently smart foundry could easily cripple Nvidia overnight... yet where's the nearest VC fund for ASICs??
This is so exciting! Tooltips were the single most important missing feature for me.
If anyone is interested I wrote a blog post about how I made fontemon and which type features I used:
https://github.com/mmulet/code-relay/blob/main/markdown/HowI...
don't worry, we'll be gone soon and some sort of life on earth will go on
Note that KHTML is dead: https://github.com/KDE/khtml/tree/master

The writing was on the wall as KDE moved to first QtWebkit and then the Blink based QtWebEngine.
(Yet another reminder that Xenocara exists, is still being maintained, and runs on Linux, or at least did a year ago)
Thanks. Yeah, I'll take a look at -hwaccel flag.
Shocking Leaked Tesla Documents Hint at Cybertruck Problems
this is a proprietary FPGA design. The effective performance is limited by FPGA technology for now. Maybe additionnal design work would be required for an ASIC targeting latest foundry nodes.
> Implementation for a seemingly simple logic is surprisingly powerful

hmm.
Can anyone explain the maths that he did because my calculation give different results. Isn't there only a 1 in 2588 chance of a student 'guessing' 19 'answers' out of 45 where there are 5 options for each answer? Whereas the article states that it is 1 in 100 ? (actually he writes 1:100 which is odds, so it is 1 in 101?) Don't we just use the Binomial distribution, so:
Prob = 45!/(19!26!) * (1/5)*19 * (1 - 1/5)*26
It's really bugging me that I can't get the maths to work.
depends on the situation but generally most people aren't that enthusiastic to be your UX guinea pigs, and it isn't that much fun to administer the same test so many times in a single day (think of how bored your optometrist sounds as they ask you which lens is better). I worked at a shop that had a target of 3-5 users for any given UX testing because usually it starts to get repetitive after that - you tend to hit the diminishing returns portion of the curve.

So if you assume that the UX tests were short (20-30 minutes) you're still talking ~15 total hours spent on UX testing, or two full work days. That would be a surprising amount of time.

As someone else said, it's conceivable that they ran very short studies on a large number of people in the context of having a party or a couple of small gatherings, but it does seem unlikely overall.
I think, in general the requests are largely to support specific, and generally popular npm modules. People wrigin software running under Deno aren't generally asking for "all" of node's API, but enough to where at least the most popular modules out of npm actually work. I think we're largely at that point now.

Haven't tested it, but one of the modules I had a lot of trouble importing when MS-SQL was a major database I interacted with was `mssql` backed by `tedious`. I'm at least able to `import mssql from 'npm:mssql';" now. I don't have many other good/complex imports that weren't working before or were lacking suitable deno alternatives. Back when trying to use the likes of esm.sh and similar, it used to blow up spectacularly.
> How does it come up with comprehensible sentences that make logical sense about everyday things without understanding what these things are in the real world or even understanding what logic is?

This is begging the question.

> Can anyone explain how you would get from whatever Chat GPT is doing to that by the changes to GPT 4?

I don't know. I can't explain how a 2-year-old can't count but an 8-year-old can, either. 3.5 generally can't count[0]. 4 generally can.

You've really sidestepped the question. I suggest you seriously consider it. What's the difference between something that looks like it's counting versus actually counting when it comes to data it's never seen before?

Thanks for discussing this with me.

[0] Add "Solve this like George Polya" to any problem and it will do a better job. When I do that, it's able to get to 4.
Cynical prediction: this will end up with copyright laws for words even dumber than the ones for music, where putting three notes in sequence can become EXCLUSIVE CORPORATE PROPERTY if you have enough lawyers.
Very interesting. Here LLM writes code that plays Minecraft. If software 2.0 is neural networks, then software 3.0 is code written by neural networks.
you're overestimating what "intelligence" means, as well as what the median human does.
This is related to your question, but not directly answering it.

I have been privileged to exist in area where a lot of feedback to my projects comes from informal means. Friends taking a look at projects or just giving me time to think about issues. This has led to improvement that may not be as efficient, but was more meaningful.

Importantly, a lot of the feedback was positive. Perhaps overly so. It almost always remained positive, even if my code was shit. This doesn't mean I don't recognize when there are bad smells or practices. It didn't spoil me into thinking all my code was great.

I've made careful and deliberate choices to follow that practice of feedback with others and in other spaces.

So that's cool I guess. Others may have other criteria that are important. Sorry it doesn't explicitly answer the question, I just wanted to offer that.
> The purpose of education is not just to teach facts, but also to teach young people how to be net-positive members of society. (This is why society subsidizes education.)

If only this were true. If you read the history of education, it was generally invented to create compliant factory workers that were adjusted to rigid schedules and strict authorities. (Its not a coincidence that so many schools are named after robber barons. Rockefeller, Carnegie, Vanderbilt, etc) University used to be a bit different, but now that everyone is expected to go and its about vending credentials it's arguable that creating well rounded individuals is at best an occasional bonus.
You might want it for emulating handwriting by choosing glyphs from a series of fonts so that tokens like "IEEE" or "error" aren't uncanny giveaways of the computer-rendering.
So you do believe that creators' ability to monetize would be impacted, and they won't be investing as much time/money into their creations.

But you also believe that the richness of culture would not diminish in any way.

I wish you'd explain what you think would happen.

(I can say that if copyright stopped existing my business would also immediately stop existing and I'd have to find a new career or a new country).
There's a documentary about the experiment called Spaceship Earth (2020)

https://www.themoviedb.org/movie/653575-spaceship-earth
I definitely recall doing reductions from SAT in Algorithms courses. I think that is a common part of most curricula.

I don't recall being taught any practical uses of SAT. It was introduced only in the context of Cook's theorem, as the problem you needed to reduce to other problems in order to show NP-completeness.

I think most people now learn SAT in that theoretical context, not as a tool to solve problems.
> How do the results of your work inform these predictions that stack-more-layers token-prediction scaling will keep unlocking new abilities?

The short answer is that scaling up alone probably won't fix these shortcomings. Better decoding strategies like CoT may help, but the issue we're identifying is a limitation of any transformer (no matter the size) arising from its parallelism (the property that enables scaling to large model size/data volume).

As some evidence of this, we were able to use these results to find simple problems that ChatGPT and GPT4 get chance performance on. Moreover, the questions seem to lead these models to hallucinate supporting evidence for the incorrect answers:

https://arxiv.org/abs/2305.13534
With all due respect this is a trivial and misleading point of view. Of course if you have the staff you could do all the things they do in the cloud, on-premises. If you had the staff. And the skills. And the money. And you wanted to spend your finite devops resources deploying and monitoring a data center.

Yes it’s possible to buy your own building, and your own DS3/OC3. And HVAC. And electrical. And backup generators for the HVAC. And the personnel to design and specify the racks and the hardware in them (all of the different configs you need). And to assemble and connect the equipment. And to maintain it when something breaks. And the network engineers to design your network and deploy and maintain it.

And do it again in a different place for geographic redundancy.

And, if you have any money and personnel left, then you can think about a virtualization infrastructure (because of course who would be stupid enough to buy VMware when you could build your own open source equivalent around HVM or whatever.

And now you’ve got like a tiny fraction of what the cloud can offer. And I guarantee you that the TCO is way higher than you expected and that your uptime is a 9 or two short of what a cloud provider would give you.

I’d you are running a single cloud-scale workload (Google Search or Dropbox or Outlook.com) then you probably can do better financially with your own optimized data center. But you almost certainly can’t beat cloud for heterogeneous workloads.

And the biggest benefit of all is savings in opportunity cost as your tech people can focus on your own unique business problems and leave the undifferentiated heavy lifting to others.
Historians in 2050 could look back at 2040, which would be their past but our future.
Deno has already been seeing increasing support for Node's API and built-ins... this means, they are now also available for running in Deno Deploy (cloud environment)... if you were using something where you deployed your own Deno (docker, etc) then you could already to this.

Note: Cloudflare Workers is also starting to support a lot of Node APIs as well (opt-in), so bundles will likely be able to run in both of them and others. Can't speak specifically to it, but Bun will probably also largely work.
> Copyright infringement is when you take copyrighted work and distribute it directly

It goes much further. Loading copyrighted work into a computer's memory, for example, is copying and can infringe. There are 30 years of precedent here. See https://en.wikipedia.org/wiki/MAI_Systems_Corp._v._Peak_Comp....
If so, this proves that copyright as we know it today hinders progress of the arts and sciences.
This is like asking "what's the point of not allowing students to use Google during their Maths exams" or "why bother with English exams when Grammarly exists".

The point is to gain some knowledge yourself. Obviously you'll use new tools and methods later when you eventually get a job, but the point of most courses is to teach you the concepts, not how to command the IDE. Whether you decide to hand-craft assembly code or become professional a Copilot suggestion approver doesn't really matter.
Make your code (or other engineering deliverables) beyond criticism. This state is achieved when every decision in the code is either due to a hard external requirement that we all agreed on (it has to be done that way) or else is made according to externally documented and referenced best practices.

If someone disagrees with anything in the code, you can point them either to a requirement that would have to change if it were done differently, or else some documented best practice (whether in-house or some famous external one) would be violated.

Have a reason for everything. Why is there a linear search in that function? Because the number of items is at most ten, and not expected to ever exceed around fifteen; moreover, the function is called only a dozen times, on first boot after a firmware upgrade.

Also, be the most stern critic you can be, of your own code, criticize it yourself and fix everything, so you don't leave much for anyone else.
There’s a lot of unexplored stuff w.r.t. the GPL license, but I doubt that would legally work for a rewrite of CDDL-licensed ZFS to a GPL license.
Hah! A brilliant use of ChatGPT, thank you for the idea!

Maybe I'll go through and have GPT start naming my variables as well. :-D
> USAs influence over the Argentinian dictatorship just before the invasion is no secret.

That doesn't imply that the US had any hegemony or control over Argentina.

> Don’t you think the UN deceleration of human rights helped with minimizing conflicts, the rise of democracy, the end of imperialism, decolonization, demilitarization, buildup of infrastructure, the European Union, etc.

Why did all of these things happen in the first place? American hegemony. You can tell because Europe tried half of the things on that list after WWI but they didn't work.
Cloud is not difficult, they just charge too much per API request.
I believe there is better opportunity from focusing hard on specific niche industry verticals and developing AI assisted workflows that make their operations more efficient.

Those will be good businesses, and founders will do well, though they may not be billion dollar businesses. Their moat will be industry comprehension and then their integration and embedding into business operations.

That does leave a question as to the purpose of VC in AI though.
That part is easy, and is basically the same in Sway: I have `input * xkb_options "caps:backspace,compose:ralt"`. The problem is what pressing the Compose key does: inconsistent stuff.
What goes around comes around.

2000s Compile to binary > bytecode (performance, size and startup time important)

2010s Compile to bytecode > binary (performance important)

2020s Compile to binary > bytecode (size and startup time important).
You could, but you cold make it the other way too.

https://qz.com/1145669/googles-true-origin-partly-lies-in-ci...
I don't take it as a given that it's necessary to use copyrighted works without permission to get most of the benefit of LLMs and other AI. There are many options:

1. The benefactors of these models can offer to pay a small fee to the copyright holders for inclusion of their work in the training set. Given that these models have the potential to be literally the most monetarily valuable products ever created in the history of mankind, paying the people who allowed them to exist doesn't seem like an unreasonable ask to me. Obviously people who refused would not have their works included.

2. The model can be trained on public works. Sometimes this is plenty, sometimes not.

3. Hordes of human beings can be paid to contribute to the training data set, Mechanical-Turk-style or just via direct employment. This is already necessary to curate and polish the input data.

None of these seem like outlandish requests for something that will eventually be worth trillions of dollars per year.

Consider the opposite: we give an exception to giant corporations and say "yeah feel free to just take whatever copyrighted work and use it however with no compensation." Artists and authors are being replaced by these outputs. What motivation do they have to create, knowing that their work will be immediately stolen by giant corporations for use in building the tool that makes them obsolete? How is that promoting “the progress of science and useful arts”?

I would like to see more high-speed railway exist. By your argument, land ownership is problematic because it prevents cool things like high-speed rail, and therefore we should just plow on through everyone's land for the greater good without compensation. I say: Eminent Domain is a useful last resort to make cool things happen, but at least compensate the people you're trampling on.
Had the idea a while back to make posters and t-shirts with ‘I [heart] Helvetica’ on them, but set in Arial to wind up design nerds. But realised that 99.999% of anyone except possibly myself wouldn’t notice of care.
How did you get the prompt?
There's no reproduction, it's just reading the text.
By that logic wouldn’t it be ok for grade schoolers to use calculators when they are learning basic math? Sure you can teach someone how to get an answer, but have you actually given them an understanding of the material to be built upon?
None of what you mentioned related to "traffic to a blog post from HN front page". I am just saying "traffic from HN front page" is a poor example of things that need "scale up".

Not disagreeing all the challenges you mentioned. Just "traffic from HN front page" is so easy it is a poor example.
> Gaming laptops are terrible and a bad deal... They will. Either cheaper or better performance for same price.

I found them pretty competent. An Asus ROG G17 easily gives at least ~80% performance of what the components would give if they were in a desktop. (RTX 3070, Ryzen 9). And does it with almost ~50% less power consumption...
Humans and software are not the same. Humans get a pass on regurgitating some stuff because our memories are fuzzy and more importantly we are not eternal, distributable entities that scale based on GPUs available.

Kim Peek is Greg and the difference between him and and AI is the text above.
For all he knows, the students went to a site with study materials to prep for a test.

Generally previous exams are good for checking that you understood a topic but you can not really study a topic only from past multiple choice tests. If they had studied the topic and gained some understanding, they would have noticed that the answers are wrong. Even just looking at two different past exams would probably reveal that something is off.
Well that's just damn creative!! I love it. There is a technical blog post [0] detailing the mechanics if anyone's interested.

[0]: https://github.com/mmulet/code-relay/blob/main/markdown/HowI...
Not sure if it's relevant, but the OpenAI APIs generally support taking multiple responses in a single API call. I'm unsure what the generalized effect on processing time of that is however. From what I've read, this is sub-linear, so could reasonably be more effective than 20x, and I'd bet there are probably speedups to be had on the model side of this that make the extra time cost negligible.
And software 4.0 is sticks and stones. har har.
Video title made me think this was a parody
US govt pushes spyware to other countries? Senator Wyden would like a word
DailyMail says the asking price is $100,000. https://www.dailymail.co.uk/news/article-12081261/West-Texas...
> until you realize you have to build a datacenter yourself

Have you never heard of a colo? Rent 1-2 racks in one of those. And you probably won't need more than 1-2 racks because that's what Stack Overflow runs on.
There are two ways to end up with a similar artwork:

1. Create enough art in the same restricted domain, and some works will happen to look similar to others.

2. Use aspects of a work in the process of creating another. Without enough process, the result will resemble the original.

LLMs pretend to do #1: They first model a collection of works - called the training corpus - to implicitly generate a domain. Everything that is "hallucinated" by that model is restricted to that domain.

The entire goal of an LLM is to resemble the training corpus. The only interesting part is "in what way" that resemblance appears.

For example, an infamous paper illustrated that after being trained against valid Othello games (written as sequential piece positions), GPT can hallucinate a valid Othello game move. Does this mean that the game moves are novel art? Of course not! They are the result of the training corpus being modeled through a transformer. This is method #2 masquerading as method #1.
Has there been any effort to formalise the subset of NP that lends itself to SAT resolution (is there something between x^n and n^x)?

For example, what are the defining characteristics of a graphs for which the travelling salesman problem is resolvable without resorting to brute force?
Neat. By a strange coincidence, I made something similar yesterday in a script to make each letter in HTML into a different font. I wanted to see if it would end up as an OCR-proof font:

https://gist.github.com/tonyb486/0e3efc9240953c86a50a019b56c...

An example: https://tmp.tonybox.net/chbgr.htm

Rasterized and OCR'd: https://tmp.tonybox.net/ocr.pdf