skysight-inc/HackerNews huggingface dataset:
(I'm not the other commenter)

I suspect that most of the large AI companies relevant to this discussion will remain based in the US.

Most of the money is in the US, China, and the EU. China won't allow any LLM that accidentally says mean things about their government, the EU is worried about AI that may harm individuals by libelling them.

The Chinese models may well completely ignore western laws, but if they're on the other side of the Great Firewall, or indeed just have Chinese-language UIs and a focus on Chinese-language tokens in the training… well, I'm not 100% confident, but I would be somewhat surprised if, say, JK Rowling was upset upon discovering that western users attempting to pirate her works via a Chinese chatbot were getting a version of Harry Potter that begins with the title literally being "赫奇帕奇巫师石（哈利·波特与魔法石）" (as ChatGPT just told me the Chinese version starts. Google Translate claims the first three characters are "Hufflepuff").

Even if the rules aren't any harder (as I'm not a lawyer, I can't tell if the differences in copyright rules will or won't make a huge difference in compliance costs), it's likely easier for American companies to lobby the American government for what they want done to make business easier.
> Now it's all iOS/Android, two "upstarts" initially.

They weren't upstarts, they were giants who moved into a new (but tightly related) space and pushed out other companies that were in spaces that at first seemed closely related but actually were more different than first appeared.

Android and iOS won because smartphones were actually mobile computers with a cellular chip, not phones with fancy software. Seen that way Apple was obviously not an upstart, they were a giant that grew even further.

Google is perhaps somewhat more surprising since they didn't do hardware at all before, but they did have Chrome, giving them a major in on the web platform side, and were also able to leverage their enormous search revenue. Neither resource is available to an upstart/startup.
so, like, you prolly could, like, tell it to make a song about, like, a day of what its like to be a banging ai assisted rifle robot,double tappin, n stuff

my question though is, are words like cynicism and
pessismism useable except in an ironic sense?
> I just think that the current DNN+SGD approaches are just not that good

I'll add even further. The transformers and etc that we are using today are not good either.

That's evidenced by the enormous amount of memory they need to do any task. We have just taken the one approach that was working a bit better for sensorial tasks and pattern matching, and went all in, adding hardware after hardware so we could brute-force some cognitive tasks out of it.

If we do the same to other ML architectures, I don't think they would stay much behind. And maybe some would get even better results.
I thought space was the the world's prime telescope site.
I will never need to buy a new computer again
>Looking back, I can say that the knowledge and skills I gained became the basis that I still use today. It turns out that it is very useful to be alone with Linux, when you only have access to a book, man pages and source codes

This is my experience also in learning UN*X, but that was with IN/ix then Coherent probably 10 or maybe 20 years before. To me, that is the best way to learn. Coherent's book was the best I have ever seen.
Sounds more like someone is writing "Inverted pyramid" style, where you repeat information somewhat but go deeper and deeper every time.
AfterBurner 2: Enhanced Edition (2017)
You only need two friends and a chat server to have a community. I've been running one for my friends, like a self hosted discord, for almost ten years. It is by far my most valuable online space. There's maybe a dozen users. Whatever. It's great.
I'm not the parent commenter but:

I have uploaded several games to itch (although it's been a while) and a cool thing I found was that even with no followers back when I started making things, a decent number of people played some of my games! Nothing crazy, but I remember being delighted that the second game i ever made[1] got a few thousand plays and some actual comments.

My experience is that:

* tags matter! For example, a decent number of people seem to be looking for new incremental games and are willing to try new stuff in that category
* your primary image, title, and description matter a lot and it's worth spending some time taking a good screenshot (I'm really bad at this)
* you can upload a gif instead of just a screenshot to include a little gameplay in your title image and that might help
* participating in gamejams can help a lot because you get some guaranteed players (everyone plays each others games and rates them; maybe you get some feedback too)

I'm not sure where you are in your gamedev journey (there's a good chance you're way ahead of me and this advice is useless!) but "just make some stuff and put it on there and see who bites" was effective and motivating for me early on

[1] https://itseieio.itch.io/sisyphus-needs-a-nap
I think I fall very much into the "beginner of beginner stages" of understanding programming. It sounds like then, if I want to avoid that "cargo cult" mindset, then a structured flow of:

education -> learning -> doing -> failing -> (repeat)

Would be needed then, right?

Does this then mean that, if someone truly wants to "escape the island, and fly the plane" as it were, it comes down to "university is the 'truest' way"?

Note: Yes, I realize it's hard to speak in absolutes, that there are plenty of exceptions to generalities, and that all people have various degrees of justifications of I-can't-do-that-itus; I'm talking more in terms of optimal theory. That, the optimal route to avoid cult-like behavior is to understand the whole thing, and that "the whole thing" comes from higher education, right?

Logically at least, it would seem that even diligent studying with books as a means to meet/surpass the "completeness" of university would still be... inadequate in some regard when compared to in-class time with learned educators. (Again, supposing that the same person worked just as hard doing either option, etc.)
Destruction of Palisades fires in satellite images
To avoid my comment being entirely a terminology nitpick I will say this is very cool work that I would be too afraid of CFAA to ever attempt. Especially funny to see four parasites on one government domain. Do skiddies not excise other skiddies' backdoors when pwning systems so they can have them all to themselves?

> We then hooked that up to the AWS Route53 API, and just bought them en-masse. Honestly, it’s $20, and we’ve done worse with more.

> We’re incredibly grateful for the support of The Shadowserver Foundation, who have agreed yet again to save us from our own adventures and to take ownership of the domains implicated in this research and sinkhole them.

I wish we could collectively stop using the terms “buy” and “own” with regard to domains. Try “leased” or “rented”. If they could be bought then they wouldn't have been available again for this exercise.
The fixation on genitals in this discourse is weird. It's an argument that tries to say "if you don't agree with me, you're a pervert that just thinks about genitals".

Men vs women can be clearly distinguished in many different ways while keeping their clothes on. Why bother trying to push a narrative that is obviously false? Is it an Emperor's New Clothes situation?
A bit of an aside, but how is that gaslighting?
Very true. Most code written today will probably be obsolete in 2050. So why write it? Because it puts you in a good strategic position to keep leading in your space.
They actually mention this in the sixth paragraph
>What matters is the outcome, not the effort

>At certain companies the scale could be enormous

The latter is true and I think the most legitimate reason for working at big companies. I should specify in the first they also accomplish little and affect very little. Things like internal tools that went nowhere, running basic ETL scripts, things like updating financial trade systems to comply with some new regulation. And this at a pretty slow pace.

My meaning about Nvidia and Meta VR is how people who didn't create value got enormously wealthy anyway. In Nvidia's case, traditional GPU teams (which I suspect received most of the benefit because they've vested the longest and made up most of Nvidia's pre AI boom) got hugely rewarded by data center GPUs, which they played little role in. Conversely Meta's VR team still got paid really well (their stock is even up because of AI hype, despite VR losses) despite their failure. So you have these systems where even if you fail or don't play any role in success, you're still paid enormously well. This is because companies capture the value, then distribute in their very imperfect ways.

You're right that the valid reason for this is that tech companies act as risk absorbing entities by paying people to take high risk bets. But the necessary condition for these are

1) Hiring really good people (not just intelligent, but really motivated, curious, visionary etc)

2) A culture which promotes that

The on the ground reality of 1) is that it's a huge mess. The system has turned into a giant game. There are entire paid courses advertised to get a job in MAANG. The average entrant to MAANG spends six to eight months somersaulting through leetcode questions, making LinkedIn/Twitter/YouTube clones, doing interview prep, etc etc. Many causes for this, including the bureaucratization of tech companies, massive supply of fresh grads, global economic disparities, etc. It's no longer the days when nerds, hackers and other thinkers drifted together.

2) Because of FOMO, AI hype and frankly general lack of vision from many tech CEOs, it's just a mess. Anything AI is thrown piles of money at (hence the slew of ridiculous AI products). Everything else is under heavy pressure to AI-ify. I've heard from people inside Google has really ended that kind of research culture that produced all the great inventions. There are still great people and teams but increasingly isolated.
Matt thanks for the encouraging words... enjoyed your compiler class and sad that you didn't end up in my PhD committee... done 3 years now but stuck lol.
So spin up your own forum and don't moderate it. Or spend some time (un-)finetuning an LLM moderator so you can talk about race or eugenics or whatever "exciting" controversial statements you want to talk about. Who cares.
Racket's Chez Scheme backend, which is the default for several years is faster than python and ruby, and raco distribute gets you a smallish package with just your program, portable to the major OSes. Smallish = 40mb, which is probably comparable to other dynamic lands that don't come preinstalled.

I find the "I tried it years ago and it wasn't as nice then, so I'm not gonna look at it again" attitude quote off-putting. It's the same reason Java still gets so much hate after over a decade since Java 8.

I agree that CL and Closure probably has more real world shipped products. However, if you are considering a newer and smaller ecosystem like Janet... you owe it to yourself to look at Racket with fresh eyes.
He was installing Arch.
With humans, while you can't read the whole internet you can maybe read everything in a narrow niche. Then the thing is to go out and do something or make something. Maybe that's the future for AI.
I think it’s a combination of things and car centric transportation makes our online addled communities worse.

One major issue is that affordability is down bad, many people cannot afford cars and they are stuck in environments where cars are required to do everything and as a result have turned to the internet for their social needs. Which as we know is a mirage for social interaction.

Dense areas where walking/public transit are enough to see friends are becoming more expensive as well.
The ChatGPT part was definitely a bit of a lark for views. Check out the rest of his videos though. The mechanical engineering of the turret is awesome and terrifying
Show HN: Lapsula – Simple appointment booking app with WhatsApp integration
Hi HN!

While learning Svelte and tRPC, I built a straightforward scheduling SaaS that's helping small business owners transition from phone bookings to online appointments with their own booking page.

Although there are feature-rich solutions like Cal.com and Setmore available, we found many small business owners were overwhelmed by their complexity. Lapsula focuses on simplicity: just sign up, set your hours, and you're ready to accept bookings.

Our WhatsApp automation feature makes your life easier if you're already using WhatsApp Business to interact with customers. And if you need online payments, you can simply link your Stripe account.

I'd appreciate any feedback on both the technical implementation and business approach. You can try it at https://www.lapsula.com
There's two types of hydrogen: 1) ammonia for fertilizer production and perhaps other industrial decarbonization, and 2) fantasies of energy storage, fuel, etc.

Environmentalists know of the necessity of ammonia, but push back hard on the second.

Michael Liebreich's hydrogen ladder is fairly good at summarizing an honest assessment of where hydrogen will be useful:

https://www.linkedin.com/pulse/hydrogen-ladder-version-50-mi...

And you'll see that it gets pushed in lots of very inappropriate places.

It's funny how much benefit of the doubt is given to really bad tech, like hydrogen and large nuclear reactors, despite decades of data showing that they always underperform expectations and that people who implement them always overpromise and underdeliver. It's a stark contrast to solar and wind and storage, which always seem to underpromise and overdeliver, and these technologies face huge amounts of undue skepticism not only from decision makers but also the press and the public. There's a lot of decision making in energy that is extremely disconnected from data and reality, and most of hydrogen decision making these days is disconnected from reality.
The author appears to be confused about the difference between research and production. In research more generic approaches typically win because they get resourced much better (plus the ever-growing compute and data have helped, but there is no guarantee that these will continue).

On production side of "AI" (I don't love the term being thrown around this loosely as true AI should include planning, etc not just inference) the only question is how well do you solve the one problem that's in front of you. In most business usecases today that problem is narrow.

LLMs drive a minuscule (but growing) amount of value today. Recommender systems drive huge amount of value. Recommender systems are very specialized.
Every bacteria in the Petri dish doubles each generation, until it doesn’t.

It really doesn’t seem like a winning bet (other than fear mongering popularity), because you’re unlikely to be right, and when you are things seem to be falling apart. See also Peak Oil.

However, birth rates in most of the world (except Africa, SE Asia, and India by a bit) are falling below replacement. Many are looking at this as a good thing (exponentials can’t go on forever), and there are the contrarians, but being at the edge of a long term exponential transition is dangerous. There are many cultural and economic systems that have worked the way they do and grown to be dominant because of the exponential growth. People will continue to hope and believe long after things become obvious (see climate change). See also Moore’s Law.
The Beauty of Embracing Uncertainty
We're going to get a 4x energy density improvement from lithium sulfur batteries, just as soon as production ramps up.
Yeah as long as it has 16GB+ RAM. I've got a newer cpu and it's very fast, so I expect on an M1 it would be at least bearable.
Why did he replace the class D concept by a more power-hungry and heat-generating class B amplifier?
Seems to be too buggy to play. First word I typed it wouldn't accept the last letter, and this happened again and again.
So it’s the end of Wordpress, within a decade if it continues at its current trajectory.

Drupal community to benefit here tremendously. As well as consultant work to migrate away from WP
What our society has to decide is whether these use cases are beneficial or detrimental to society at large, and adjust IP laws accordingly.

Whether LLMs are archives of data, a compression method, or whatever else is just an unimportant technical implementation detail.
Dr.John Campbell on YouTube has video on ivem and fen ben cancer cure experiences. Very interesting. Take a look.One entitled Fen ben for cancer ?About a month ago
Publicity stunt on the guy's part and PR management on OAI's part. Mostly just clickbait. You can make the same thing with open models running on a local device.
What dirty mining for batteries? Please be specific. This story was always a PR drive that focused on the "dirtiness" of batteries but never compares it to the dirtiness of all the other parts of competing technologies.

And talking about the "dirtiness" of batteries but not every other single part of our industry (steel for everything, all the nasty stuff for electrolyzers, etc.) is all part of prioritizing emotional over rational. Public discussion of our energy system is definitely more emotional than rational, and I would argue that the emotional side of things means that we do a lot more fossil fuels and dirty tech, whereas a more rational approach would have us on far more solar and storage than we currently are, or plan to do.
It wasn’t just the moderation. Earlier internet had a much more self-selecting audience. Trolling was in its artisanal infancy and there weren’t incentives to spam and scam people since you couldn’t monetize on such things. State and other propaganda actors didn’t take it as a serious platform, there weren’t trillion dollar companies monetizing your every move, and a hundred other variables
This is always the showstopper for me. I really want to mess around with making a game but I can't make assets or music to save my life. Maybe this will get me going!
> Self-Hosted Discord

How does one achieve this?
Davis is one city I thought? SF/Daly City are the only places with unavoidable hills in my experience.
there are resellers like openrouter so unless openai has perfect coordination with them.

yes they can flag certain prompts, true
I don't believe that to be true—OpenAI is plateauing on model capabilities and turning to scaling inference times instead. There's no moat to "just throw more tokens at the problem", and Meta and Anthropic are both hot on their heels on raw model capabilities. I see absolutely no evidence that OpenAI has a major breakthrough up their sleeve that will allow them to retake the lead.

In the end, models are fundamentally a commodity. Data is all that matters, and in the not too distant future you won't gain anything at all by sending your data to OpenAI versus just using the tooling provided by your existing vendors.
LinearBoost: Faster and more accurate than XGBoost and LightGBM on 7 famous data
The latest version of LinearBoost classifier is released!
https://github.com/LinearBoost/linearboost-classifier
In benchmarks on 7 well-known datasets (Breast Cancer Wisconsin, Heart Disease, Pima Indians Diabetes Database, Banknote Authentication, Haberman's Survival, Loan Status Prediction, and PCMAC), LinearBoost achieved these results:

It outperformed XGBoost on F1 score on all of the seven datasets
It outperformed LightGBM on F1 score on five of seven datasets
It reduced the runtime by up to 98% compared to XGBoost and LightGBM
It achieved competitive F1 scores with CatBoost, while being much faster
LinearBoost is a customized boosted version of SEFR, a super-fast linear classifier. It considers all of the features simultaneously instead of picking them one by one (as in Decision Trees), and so makes a more robust decision making at each step.
This is a side project, and authors work on it in their spare time. However, it can be a starting point to utilize linear classifiers in boosting to get efficiency and accuracy.
The thing is, ChatGPT can do quite a lot. Using it for many different tasks with minimal adjustments is note worthy.
I'm on a couple of email lists that have a similar vibe. A dozen or two active participants. No ads, no giant corporation trying to push engagement or steer the narrative. You just have to ignore the occasional FOMO feelings and understand that no, trying to find "community" in a sea of 10,000,000 users on a giant social network is not how we are wired.
There isn't going to be a revolution. Americans are all talk no action.
Uudised
For the rectangle minimization problem: your problem seems to differ from the one discussed on StackOverflow in that the SO thread discusses partitioning into non-overlapping rectangles, while your Vim project allows overlap.

I wouldn't be surprised if your problem turns out to be much easier to solve optimally.
Nice collection! Very annoying with the 6 popups I had to dismiss while browsing.
The California wildfires could be leaving deeper inequality in their wake
I'm reminded of a sign I once saw at a protest:

> We are nature defending itself

It might interest you for use as a search query, there seems to be more to it than just a sign.
Here's a current story. No idea of this news source but it is widespread. CNN is in a defamation lawsuit directly related to not waiting for a response to straighten out facts.

https://freebeacon.com/media/navy-veteran-suing-cnn-for-defa...

(To the tune of 1b in dmgs and it doesn't look good for CNN)
they’re plateauing on pretraining returns, quite possibly (if rumors are to be trusted)… but they are just getting more sophisticated at real world complex RL - which is still similar to throwing more tokens at the problem and is creating large returns.

i feel that the current artifact is already quite close to something that can operate in a competent manner if the downstream RL matches the task of interest well enough
Was this replied to the wrong comment? I'm not sure what it has to do with what I wrote.

But here's another way to think about what I'm saying, in case you missed it:

Personally, I'd love to download a complete archive of JSTOR. I'd train myself, and maybe even I could even use it as input into some product I mean to launch soon. JSTOR doesn't offer a license for that, at least not to me, but I'm sure I can scrape their site or find an archive elsewhere and make it happen anyway.

Do you think I should do that? What do you think might happen if I tried?
Cell Membrane- and Extracellular Vesicle-Coated Nanoparticles for RNA Delivery
It's easy to watch it happen. Just watch one youtube video that's outside your usual viewing subjects, and watch how your recommendations instantly change to try to suck you down a path on that new topic.
I don't really think you believe that journalism shouldn't exist or that you don't know journalism includes opinion and commentary, but I don't know why this is controversial enough to trigger that response. What's funny, though, is that the trite "news at 11" catchphrase is very much also invoking traditional journalism.
If time and money weren't concerns, I would love to do mathematics research!

I hope you achieve good things, and have fun while at it!
NB: the author's pronouns are they/she, not he.
The current title of "ZType – Typing Game" seems correct. What was the title before?
One of the features of this game is that you can provide a word list of your own. So you can probably generate a list of words above a certain length which will gradually get harder as more targets appear on screen.
I'm working on https://github.com/styluslabs/maps - has Sentinel-2 imagery, slope angle shading and custom slope shading including slope aspect.
Then wires break or get burned. Causing cuts like now.
Looks like you're right!