skysight-inc/HackerNews huggingface dataset:
I see the point you're making, and well made, but I think it also highlights a distinction in problems between the two. In the case of go, people who want to play go are the main motivating force. In the case of movies, I don't give a damn about Hollywood, the money, the studios, the IP, the actors. I only care about the quality of the film. Maybe the autuer, if there is one.

AI changing conceptions about chess or go is very different than generative Ai which can radically change the means of how something is produced. I'm still going to play go because I love it. Meanwhile, I would happily cut out film studios (as we know them) if it meant I got to watch quality cinema.
Most of contemporary art is unaffected by the current AI craze.

On one hand, the art world has been steadily pushing boundaries since the 19th century, and computer technology is just one blip on the vast radar of interesting subjects (other fashionable ones being gender, colonialist history, social practices, and physical properties of paint).

On the other hand, art is mostly created by artists who were professionally trained as artists, i.e. not as scientists. Knowledge about computer technology is typically rather limited with both artists and collectors, leading to fairly bland stuff, or properly misguided hypes such as NFTs.
Has there been any consideration of possibly spinning the Flutter project out of Google and into a non-profit foundation?

I think right now the biggest thing holding Flutter back isn’t technological, but rather the stigma that is attached to Google’s history of abandoning products. I understand that it is in widespread use in important products from Google and other major companies, but nearly every time Flutter comes up both here and on Reddit a significant number of comments are concerns about Google’s long-term commitment.
That ship has already shipped.

Even if they are able to put some control on commercial offerings, open source or available to the public models will be around.

See the behavior around Llama when it first launched. I expect an underground movement around LLM’s similar in vibes to the cracker/hacker scene of the 90’s.
Perhaps SSH/GPG private keys are .gitignored?
Computers are so much better than humans at Go that the metric for board evaluation applies better to human games than it does to computer games. Just as I'm better at evaluating code written by GPT than code written by senior developers.

Otherwise you'd see players who don't train with computers winning in tournaments against those who do.
> Shin et al calculate about 40 percent of the improvement came from moves that could have been memorized by studying the AI. But moves that deviated from what the AI would do also improved, and these “human moves” accounted for 60 percent of the improvement.

I don't often play Go myself but a number of my friends do. Among non-professional players, it is really common to see game play being not as exciting as before because there's now an easy way: just memorize and copy what the AI does. I don't doubt that professional players still have a ton of creativity, but a lot of non-pros don't really have too much creativity and the whole game becomes memorizing and replicating AI moves.
And I’m confident I don’t want to use an operating system that forces me to disclose my email address to use the damn computer.

I just bought a Microsoft branded laptop and to my horror it wouldn’t let me even create a local account without giving it an email. I gave it a fake one and now it pesters me every couple minutes to validate it.
If you only emulate the teacher can you ever become an master?
I'm skeptical of this argument. It gave free time to some people i.e. the landed gentry but also created the toiling peasants and a hierarchical civilization.
.social site seems down or slow
amazons shop and go had thousands of paying customers and yet was still abandoned because the majority of the AI check out decisions had to be offloaded to a human to verify.

So I guess it depends on your definition of demo.
Which one? I have a Pinephone and it is a great device. It's just not a good phone.
It's become go broadcasting standard to show some AI bot's win/loss confidence percentage for a given board state. It was fascinating for a few years, but now I feel like it takes away from some of the magic of watching pro level play.
Even so, the greatest issue is getting Windows developer community to actually care to provide ARM binaries, which has been the main pain point from previous Windows on ARM hardware attempts.

Managed languages will do just fine, their dependencies on native libraries, or typical compiled applications and libraries not so much.

Breaking compatibility on Windows has always ended up badly for Microsoft, as it goes against the culture they themselves created on the PC.

So it remains to be seen how much will keep running under emulation.
Thanks for the feedback! You can currently export and reimport passkeys in Proton Pass (for backups) and as soon as an industry standard is finalized, we'll support that format too.
The only time any of my couple Android phones of the last 14 years have stuttered when the browser was hogging CPU while I was browsing some messed up JS site (very rare) or maybe once every two years when it needed a reboot. Probably less than every two years.
I enjoy rock climbing even though I'll never be as good as a monkey or a mountain goat.
I wish Chess960 was more popular for this exact reason. It’s super fun to watch and play compared to normal Chess… basically all I do with my friends
> Almost all of the top models are smarter than 99% of the people

Not true. Most humans can learn driving in under a week. How many AI models today can learn driving in under a week, just like a human? None. Until it can, AIs are not smarter than humans.
This is a very nice presentation, the .sql file contains a lot of notes about the sourcing for the data. I could imagine adding test vectors to the database as well.
French company ramps up production to meet demand for its military drone radar
Yup, another signal of the end of AI bubble.
Also the reduced light means your eyes have less light to discriminate color with, resulting in ordinarily bright colors being muted or gray-ish.
Not only that, but the light source that's creating the shadow gets smaller (in terms of arc length), so the shadow becomes more crisp.
Thanks for the feedback! Passkeys also provide the benefit of being phishing resistant and will only work on the originating website.
Ah, sorry good point. I was thinking of the Librem 5 [1], but it is hardly comparable to an iPhone or Pixel in terms of software quality, battery life, and feature parity.

[1]: https://puri.sm/products/librem-5/
I have taken a course in interviewing when I was trying to get jobs. The techniques presented were all but asking to be deceived as all of the signs of trustworthiness had nothing to do with actual trustworthiness and had to do with playing them off, subtle mirroring of mannerisms, and similar. When you start asking for things that like or things that people can't truly control like "enthusiasm" or "confidence" regardless of your stated intents what you are really selecting for is bullshitters, as natural chance of a match up is the distant competitor
Past week with the free trial, so presumably 12.3.x
> a lot of non-pros don't really have too much creativity and the whole game becomes memorizing and replicating AI moves.

That makes no sense. After 10-20 moves you are surely in a position that has never been played before. How do you memorize moves after that?
I think you would see fewer ties if players got 0.2 points each for draws instead of 0.5 points each for draws.

It makes the risk of going for a risky strategy lower (you only drop 0.2 pts instead of 0.5 vs getting an easy draw) and it makes the rewards much greater... a single win and 4 losses scores the same as 5 draws.

you wont see players doing intentional draws anymore either
Many other types of governance was enabled by the agricultural revolution, not just feudalism.
Don’t need infinite monkeys when you have infinite corporate drones. Fusion power on the other hand is always 30 years beyond the horizon.
However, scaling will get you your next round led by Nvidia... I mean Microsoft... I mean AWS...
Where does their comment indicate they commit secrets?
Actually, you can just stick a dotnet build on the “release” worker and execute the output. We even have a pure C example that works mostly like that.
I can very definitely empathise with the experience of having worked hard at fixing the issues underpinning high priority incidents, then noticing that what previously would have taken hours to fix is now only visible as a blip on a graph.
It's probably against the copyright law in Canada, but all the TV provider would have to do is dedupe and set TV shows older than 60 days to "archived." If people want to call it back up it can download in the background. Would be trivial to give the user the choice to mark a show or shows as "Never archive" and still save significant space.

But, I suspect something else is going on here. Perhaps the rights holders strong-arming.
I appreciate the actual response! I'd like to point out that I didn't say that Germany doesn't have racists or Nazis - as a matter of fact, I'm well aware of this, and in particular I'm aware of the rising popularity of AfD. I don't like this and I won't defend those groups in any way. But I don't think I'm wrong stating that we have more Nazis, unless you're going to be a stickler about which white supremacists are and are not Nazis.

- The US Republican Party is far right and going farther. The Democratic party is also on the right. There are basically zero federal politicians on the left, the best you can get is basically center.

- We had an attack on our federal capitol building three years ago by white supremacists. Nazis carrying flags with the hakenkreuz marched on the Tennessee state capitol about six weeks ago. The number of groups like this is rising swiftly, even the police are in on it.

- We have done very little to stop this, we even had our previous president praising them. It's an embarrassment to our country, honestly. We were so proud to have beaten the Axis powers in WWII - and now we're going down the same path.
Python has been popular for this because it’s convenient to quickly hack on and experiment with, not because it’s the most efficient thing.
Only if it has a very fast merry-go-round that transitions into colliding bumper-cars.
This is very useful. I needed this at least 10-20 times in the past but didn't know it existed.

I no longer need it in a CI context but I could imagine this getting really handy when some weird thing happens during the build stages of a docker container too.
That's true, but as it turns out there's a lot of examples out there!
Thanks. I guess I'm an instrumentalist then (due to having a strong pragmatist streak?) because I'm unconvinced that "existence" in this caricature even denotes.
If we’re talking about knowing existing facts about the world, absolutely.

They’re also better than most of us at creating art (rhymes, poetry, digital paintings, etc) that falls into existing clearly defined patterns.

But when it comes to deep creative thinking, inferring new knowledge and very long chains of logical reasoning, I’m not convinced they’re actually anywhere near human intelligence yet.

I think we’re missing a key algorithm for true general intelligence.

I suspect this algorithm will involve a feedback mechanism that will be incredibly hard to tune and get exactly right. We already see that the relatively simple LLMs we have today can go “crazy” fairly easily if the parameters aren’t tuned quite right. This will get exponentially harder if the AI is undergoing constant self-modification.

It’s possible that “AI psychologist” will become a common profession in the future, and I suspect it won’t be significantly easier to make progress in that field than it has been for humans.
You also see a similar division to 19th century and 20th century when a player called Go Seigen changed the way the game is player even more, I feel, than AI did (but don't take my word, at 7kyu I'm far from qualified to understand how professionals play)
As simple as a recompile, which is not simple at all when you have a ton of third-party dependencies that are closed-source. Some applications will have (or already had) an easy time porting, while others will be forever stuck in x86 DLL hell.
Very sad, shouldve used an agnostic framework instead of CUDA
Extraordinary claims require extraordinary evidence. Otherwise, it is a clickbait (if done intentionally) or delusion (if not).

Well, I was shocked to see LLMs (rather than something intrinsically related to Reinforcement Learning) reach the level of GPT-3.5, not even to mention GPT-4.

For starters, he should define what AGI means. By some criteria, it does not exist (no free lunch theorem and stuff). Some others say that GPT-4 already fulfils that. So, the question to the author is: can he say which AGI he means, and would he actually bet money on this claim?
Gary’s articles are often a fun read, but he needs to proofread better. Almost every one (and they’re not exactly long) seems to have some sort of glaring typographical error.

Ironically, an LLM could probably help him out.
Even if they were to match Apple Silicon pound-for-pound, they've been horrible stewards of the Windows OS in terms of nagware, bloat, and user hostile behavior (the default browser nonsense). If they actually made an operating system that respected their users, I'd be more inclined to take a serious look at these devices.
Yes, it has less features, but it can still be a daily driver (works for me).
It makes the point that they learned not only by memorization. They still learned it by using the software.
https://archive.is/hmvEh
Yeah, I don’t think the metric is wrong or bad, just that it’s not telling us anything special. Or maybe it’s telling us something about Go AIs (that the “insights” they have are human-comprehensible) but it’s not at all clear that this fully generalizes.
On the other hand, Jean-Louis Gassée was well remembered and there had been high expectations regarding an integration of BeOS, and even rumours of Sun maybe acquiring Apple. Compared to this, Jobs' return felt much like a "small (village) solution" with vague prospects to some. (Notably, this notion of "small" is somewhat ironical, given that Apple had been once one of the most successful startups in US corporate history, second only to Xerox.)
I've never ridden in one and I've never been in a city where they exist. I guess they are a reality for some, but not me.
Im curious. Can you expand / give examples?
You have to look at it as a sequence of time steps which can interact. You can implement this interaction in many ways, such as transformer, mamba, rwkv or mlp-mixer. But the purpose is always to allow communication across time.

You use three distinct linear projections, one for queries, one for keys and one for values. From Q and K you compute the attention matrix A, and using A you construct linear combinations from V. But depending on A, for example for a token V_i there might be input from two other tokens, V_j or V_k, so information is moved between the tokens.
> The Queens Gambit turned quite a few of my daughter's friends on to chess
Did I misunderstood that the Bluetooth device could exchange some data on its own when the phone is off?
Clickable:

https://github.com/bricks-cloud/bricksllm

https://trybricks.ai
Intel's Ambitious Meteor Lake iGPU
In good weather, with remote operators.

The national school bus accident rate is 0.01 per 100 million miles traveled, vs 0.06 for commercial aviation and 0.96 for other passenger vehicles.

Approximately 9.1 driverless car crashes occur per million miles driven, while it may not always be the driverless car's fault, avoiding accidents is not a one way responsibility.

When you consider those driverless cars are only operating in good weather, while school bus drivers operate in most weather conditions while simultaneously dealing with 50+ kids...there is still a very long tail.
I was shocked to see what ‘pure’ Transformer-based language models can do too, until I realised the sheer scale of training data. I don’t think we have a good enough intuitive sense of just how much is in there. The purported examples of generalisation seem to have turned out to be mostly just a result of having trained something approximating everything ever written. As a human it’s almost impossible to imagine how knowledge that is. I reckon even a Markov chain model of similar magnitude could wow us in various ways.
I used this to run an entire startup for 4 years (complex data needs, not CRUD). It was a stopgap that was good enough to stay. I always wanted rid of it, but there were always more pressing problems. Used the load balance feature extensively, which worked but starts to falter when you get to big scale. It's not a stable foundation, it's a thing that's been hacked around enough to the point where the problems are mostly gone.

If I did it all over again, I'd pick something proper like systemd or k8s. I would say this is more a surprisingly capable dev tool than a real service manager.

Take a look at the code. E.g. https://github.com/Unitech/pm2/blob/master/lib/API.js

I don't want this thing running my production environment if I can help it.
It's a valid concern that linux devs should be aware of , and a reason I use Windows (If 90% of my work is in a linux vm, why pay $2000 more for the privilege with less flexibility).
> The hottest places in Hell are reserved for those who push people into active enmity claiming a moral crisis

This statement usually implies that people who act according to a moral framework that isn’t “Live with the minimum amount of intrusion to other people’s lives” are doing wrong. I personally don’t buy that.

When they are told, “Do not spread corruption in the land,” they reply, “We are only peace-makers!”

Indeed, it is they who are the corruptors, but they fail to perceive it.

- The Holy Qur’an (2:11)
> I think right now the biggest thing holding Flutter back isn’t technological, but rather the stigma that is attached to Google’s history of abandoning products.

No, as a user of some Flutter apps I also find them incredibly janky and wouldn't want to see the technology adopted (in this state!) even if it wasn't made by Google.

As nice as it might be to app developers, why should I pay for that with noticeable worse performance? How do you even make a brand new iPhone Pro drop frames when scrolling!?

Other than that, as far as I can tell it reimplements the entire UI rendering stack for web apps (there seems to be an optional HTML backend, but rendering to a canvas seems to be the default). As somebody never having used it... why? Doesn't this break all accessibility and native UI compatibility that browsers are providing out of the box?
They'll say it was never a secret in two years.
Isn't much of the unfairness just because most not-interview recruitment they skip it in favor of people who they know through connections? How would interviewing be less fair than say, using a civil service exam or similar?
Go is a finite search game. So each chess.

Equating intelligence to being good as these games is as silly as equating intelligence to being good at solving differential equations. Computers have bested humans at solving differential equations for many decades now. Nobody said "gee humans are now stupid".

AI, as a knowledge field, is biased in this notion that all it matters when it comes to intelligence is that computers beat humans at Go or Chess.
are you still selling this?
I am happy to announce that Gemma 1.1 Instruct 2B and "7B" are out
Perhaps sub-positions still repeat with some regularity? Meaning subsets of the board. I have never played Go however, I've only seen the board and read the rules.
How npm is regulated? Anybody can publish their package on npm as they can do on GitHub. There is no up-front review on npm. Only packages that are clearly harmful to the community are removed from npm.
> but unlike the extension cord case, nothing would catch literal fire

Somewhere, out there, is a story of an overburdened network setup literally catching fire, and it’s hopefully making its way to us.
There are 8 approved organizations in Colorado that can seed clouds, but it’s dubious if it actually works as it’s effectively impossible to test/prove. More snow means millions in more revenue for huge skiing/travel companies, but even they don’t do it regularly.

https://cwcb.colorado.gov/focus-areas/supply/weather-modific...
I love the ingenuity, but I think this is an opportunity for Framework to make a bit of room inside the case for a pair of dongles. Given how easy they are to open and how often people have a dedicated wireless mouse / keyboard for their laptop, this would be a hugely useful feature.
> it ought to be a tiny number compared to operating money supply or debts of the government

Money supply and central bank assets are causally related; it doesn't make sense to link them. (The central bank will increase its balance sheet to boost the money supply, presumably because it was too low, and vice versa.)

Debts, yes, though the most common measure is GDP. Here, again, the number is high [1], but that has nothing to do with anyone being bankrupt. And there is vigorous debate around where the optimal level is. (When the CB's balance sheet is small, it loses monetary policy tools.)

> consider perhaps middle eastern rich countries like UAE, Denmark, Finland, Germany

You're mixing commodity exporters with Eurozone members. The latter's balance sheet is similar to the Fed's [2]. The former's currency is pegged to the U.S. dollar; they don't have an independent central bank, their job is to ensure sufficient reserves to maintain the peg.

> there is not a debate

Sorry, point me to the authoritative source on the optimal size of a central bank's balance sheet?

[1] https://fred.stlouisfed.org/series/DDDI06USA156NWDB

[2] https://fred.stlouisfed.org/series/ECBASSETSW
Or as Biggie put it https://genius.com/407104.

"God'll probably have me on some real strict sh*t

No sleepin' all day, no gettin' my d**k licked

Hangin' with the goodie-goodies, loungin' in paradise

F*k that shit, I wanna tote guns and shoot dice"
Very interesting stuff.

I'm curious if this means anything in terms of good vs perfect technology or what tech wins out in practice. This process seems just plain better than green-screen, so why did it lose out? Is is just that green screen is good enough? Was it too hard to do this sodium vapor process with random cameras back in the day? Are sodium vapor lights bad enough in some way that practically it lost out?
this helps :)
I'm glad there's a lot of AI/LLM talk - it's rapidly changing our industry and lives like we haven't seen in decades, I want to stay ahead or at least on top of the wave. This is quite different from the empty hype of crypto etc...

However, I would appreciate a new topic tag/stream in the top menu bar of HN a bit like 'Show', 'Ask' etc... specifically for AI/LLM content while keeping the main page more general. I think this would benefit everyone.
0) If there is any distinction between the training phase and the query phase then it cannot, ever, be an AGI.

1) LLMs at their core are an auto-complete solution. An extremely good solution! But nothing more, even with all the accoutrements of prompt engineering/injection and whatever other "support systems" (_crutches_) you can think of.

I'll end with my own paraphrasing of a great reply I got in this very forum some time ago: Bugs Bunny isn't funny. Bugs Bunny doesn't, nor ever existed. The people _writing him_ had a sense of humor. Now replace Bugs Bunny with whatever (very, extremely) flawed image of """an AI persona""" you have.