skysight-inc/HackerNews huggingface dataset:
Well said, too many people conflate AI and crypto, and dismiss both without understanding either. Crypto has demonstrated very limited benefit compared to its cost, exchanging value has been a solved problem for millenia. We're only beginning to understand what can be done with LLMs but we can see some limits. Although it causes some harm to say it doesn't create any value is ridiculous. We can't yet see if the benefits outweigh the cost but it looks to me like they will.
You either have growth or limited emissions. Progress to more sustainable or more efficient energy sources til now just led to covering part of ever increasing demand.
Coal is still rising as well.
Being stupid and selfish should not be celebrated at all but warned against!

He did not understand bears, just saw them how he wanted them to be and actually did them a severe disservice!

Going outside of you comfort zone is valuable though, but only if done with knowledge of your own limits and consequences!

e.g. I live in the Alps and we have much too many stupid tourists' emergencies in the mountains due to ignorance than should be. They know nothing about the mountains, the tour, how weather is up there, what equipment and clothing to bring and wear and completely disregard advice of locals.
Then Mountain Rescue risk their lives and health to get them down. Most of them volunteers no less!
Andreas Kling can develop personal projects with any language he desires.

If you disagree, roll up your sleeves and show us how you can make it better. Otherwise, STFU.
Rust module for validating Apple app attestations and assertions
appattest-rs is a rust implementation for integrating Apple's App Attestation mechanism into your server-side applications. This allows you to verify that the app communicating with your server is genuine and has not been modified.

This is particularly useful for enhancing the security of your iOS applications by utilizing Apple's DeviceCheck(https://developer.apple.com/documentation/devicecheck) capabilities.
It is not about the quantity of the applications, but about the value they bring to society. If it is about spamming and advertising we are even talking about negative value, actually.
Since things on the product front won't really be well defined and the process will be iterative your best bet is to find devs who are eager to learn by working on the first or first larger real world project — depending on the domain specifics, etc.
It works nearly everywhere, you just need to check (and double check, and get in writing) beforehand that the credits transfer instead of picking classes randomly and being shocked when your University of choice doesn't accept them. Many community colleges even have official systems for transferring to a partnered University.
It was updated in 2010, but originally published in 2001.

https://www.nejm.org/doi/full/10.1056/NEJM200105243442106 is the original citation.

(This is standard for Cochrane reviews, btw and definitely a good thing). I fundamentally disagree with the approach of this review and analysis (placebos are not a generic effect (apart from pain)) but love Cochrane in general).
Hey, that's a fair question. I've responded to another question about why fork here: https://news.ycombinator.com/item?id=40857807

In short, for now, yes might have been able to implement this functionality as an extension (though there are several other changes that we've made to core Jupyter behavior as well). But our roadmap calls for much more sweeping changes to the code execution model itself and that simply cannot be an extension.
If anyone hasn't read Accelerando, I heartily recommend it.

For one thing, it seems to be coming true.
Docker Container for LLM Models
Is there any computational benefits to pulling a model stored in a container over hosting the model locally? I'm attempting to spin multiple instances of the same model on my local machine while saving resources..
Interesting read. Honestly I don't have enough business experience to make any conclusion. But here's one point I disagreed with.

The article states companies are pivoting towards more specialized verticals, ex. LlamaIndex is focusing on managed document parsing / OCR, which means they are going to get smaller and smaller and eventually die. I don't think just because companies are narrowing their scope means they can't have viable business. If LlamaIndex was charging $100K base price per enterprise and had 1000 customers, they are doing 100M in revenue at least, which is a very viable business.

If you are curious about this topic, maybe this is a good podcast for you :)

https://www.youtube.com/@opensourcebusiness/videos
> German police said the investigation was still ongoing and that, "At this stage, a technical defect is assumed to be the cause of the fire."

> Thomas Hör, CEO of Diehl Metal Applications, told Berlin broadcaster RBB last week that a fire insurance company had come to the same conclusion.

Everything else either speculation by "unnamed sources" or outright propaganda. If anyone had any interest in truth, they'd still be investigating the attacks on Nordstream, but no one wants to know - or else they wouldn't have complained about "unnamed sources" when Seymour Hersh told everyone who did it.
Yes, that's quite right.

That's why I created EtherGPT, an LLM Chat agent that runs decentralized in the Ether blockchain, on smart contracts only, to make sure that value is created and rewards directly the people and not big companies.

By providing it just a fraction of just a bit north of 10% of the current fusion reactions occuring in our sun, and giving it a decade or two on processing time and sync, you can ask it simple questions like "what do dogs do when you're not around" and it will come up with helpful answers like "they go to work in an office" or funny ones like "you should park your car in direct sunlight so that your dog can recharge its phone using solar panels".
I am convinced that any post on Reddit that espouses the virtues of some or other product is a paid advert.

There is way too much corporate worship despite the platform's users generally priding themselves on being enlightened and smarter than the rest.
Unrelated to Fritz, related to company raids:
Some time ago I worked for Kaufland (sister company of Lidl - Schwarz group, #3-#4 retailer company worldwide) and on all offices & hallways there were signs saying something like:

"In case of raids, cooperate with the police, do not throw away documents or break any device", which always seemed funny to me, as there was probably an incident that happened that lead to them putting this so often in the office.
https://en.wikipedia.org/wiki/Ukrainian_propaganda_during_Ru...
Spanish can use four or five dialects, plus Vasque that is a totally different isolated language. But they all talk also bare metal Spanish.

Andalusians will change naturally to a more standard and fully intelligible Spanish when talking with somebody from Zaragoza (or even with Andalusian people that use a different accent). And any educated person can write fully understandable standard Spanish.
Yes - I've replied here: https://news.ycombinator.com/item?id=40857807

I'll also copy what I said in another comment:
In short, for now, yes might have been able to implement this functionality as an extension (though there are several other changes that we've made to core Jupyter behavior as well). But our roadmap calls for much more sweeping changes to the code execution model itself and that simply cannot be an extension.
The vitriol and counter-vitriol definitely produces an escalating spiral, but plenty of the divisions are not pre-existing but entirely fictional. People making up a guy to get mad at.

There's also a prisoner's dilemma aspect where trying to be the de-escalating party just makes you lose.
This is bad news, because personalisation was a big advantage of spam filters.

Everyone's spam filter is tuned differently from others', so spammers had a hard time beating this with automated messages. About the best they could do was adding random keywords in hopes of triggering someone's positive "not spam" trigger.

Now spammers gain personalisation at scale, so this advantage is at risk.
Divorce Never Ends
LLMs are clearly products! The fact that Meta rather inexplicably chooses to give away assets that cost millions or billions to create doesn't mean LLMs aren't a product, it just means that they're competing against a company funding open source stuff for (presumably) strategic reasons, like in many other markets. And like in many other markets over time it's possible the proprietary versions will establish permanent competitive advantage. Meta may not keep releasing Llamas forever.

> you would just eventually train and deploy your own model

Just train an LLM? It's really not that easy! Even if it was, it'd be like how people can "just" run their own email service. Hosted email API is not rocket science but in practice companies all choose to pay Microsoft or Google to do it. Doing these things isn't a core competitive advantage so it gets outsourced.
(obligatory IANAL)

Sadly, that's not how it works; opting out of the copyright game is a lot harder than it should be. "No license" means all rights reserved, and even a public domain dedication is invalid in certain countries.

Your best bet is to put your code in the PD and provide a fallback maximally permissive license in countries with insane legislation where that doesn't work (e.g. Germany). The Unlicense notably does this, though lawyers seem to hate it for various reasons.

Alternatively, you can use licenses like 0BSD/MIT-0 which are PD-equivalent, but you technically retain copyright, so it should work in aforementioned countries too.
News at 11, spammers use sophisticated techniques to increase the profitability of spam. This is absolutely shocking and never before seen, what is the world coming to.

In all seriousness, manipulation and bullshit generation emerges as the single major real world use of AI. It's not good enough yet to solve the big problems of the world: medical diagnostic, auto accidents, hunger. Maybe just a somewhat better search tool, maybe a better converational e-learning tool, barely a better Intellisense.

But, by God, is it fantastic at creating Reddit and X bots that amplify the current line of Chinese and Russian propaganda, upvote and argue among themselves on absurd topics to shittify any real discussion and so on.
Anecdote: me (SWE) and my wife (executive) each have a $20 subscription.
The irony

Everyone is playing lip service to global warming, energy efficiency, reducing emissions.

At the same time data centers are being filled with power hungry graphic cards and hardware to predict if showing a customer an ad will get a clock, generating spam that “engages” users aka clicks.

It’s like living in a episode of black mirror.
You could hypothetically apply the same line of reasoning used for cryptocurrency mining: AI training is dispatchable load. Now all this AI investment can go into funding the construction of a lot of new renewable generation, and it uses that power most of the time, but now when you get the week out of the year that it's too cloudy or still and renewable output is only 20% of normal, you turn off the AI training machines for that week and do your training when the sun comes back out, leaving that extra generation capacity for the rest of the grid. Which allows you to decommission a fossil fuel power plant.

Or you can go the other way. The data center can't afford to be down, so they have several MW worth of diesel generators on site in case the grid is down, but the same can be used to supply the grid during that week when renewable generation is low. The more of the grid is that kind of data center, the more viable it is to shutter always-on fossil fuel power plants in favor of renewable generation that can lean on running the emergency generators a week out of the year.
I keep seeing these posts on HN and thinking, man, these are some smart people. Training LLMs, doing all this amazing AI stuff like this guy with the email agents and the other guy with the dropping of hats, and then I open the posts and it's just some guy making API requests to OpenAI or some similar disappointment.
Funny how they're self assured no one whiffed their AI bullshit. This is survivorship bias, he's looking only at all the planes that came back to port. The people who did - they just didn't reply. He can't prompt them.
Russia has already made Ukraine into its next Afghanistan. They'll eventually leave after huge casualties.

> strong bloc of Russia-China-Iran-DPRK-Belarus

Lol.
Uh, the US could easily mine more than all those other countries combined. [https://en.m.wikipedia.org/wiki/Uranium_mining_in_the_United...]

And most of those countries are not politically unstable - unless we count Trudeau’s declining popularity, or Australia and Germany’s need for excessive beer drinking.

For various reasons it just went through a period it didn’t want to. Though prices have recovered enough, mines are re-opening again.
Ye, it’s wired how advocating for/inciting civil war in a nuclear armed state is not questioned as

A) inhumane

B) violation of all proclaimed western values

C) mad dangerous
So far, I haven't seen a useful application of LLMs. So far.

I've seen things that are wildly hobbled, and wildly inaccurate. I've seen endless companies running around, trying to improve on things. I've seen people looking in wonder at LLMs making mistakes 2 year olds don't.

Most LLM usage seems to be in two categories. Replace people's jobs with wildly inaccurate and massively broken output, or trick people into doing things.

I'd have to say Bitcoin is far more useful than LLMs. You have to add the pluses, and subtract the minuses, and in that view, LLMs are -1 billion, and bitcoin is maybe a 1 or 2.
I feel so much a sense of hopelessness given that the courts seem to have moved to the right, legislatures are increasingly gerrymandered etc, etc, such that I wonder: “will grass roots organizing really change anything?” I guess the same could be asked about voting but I will sure as shit vote and get involved even if my contribution is a very very small thing.
@snowpid

Maybe not completely annexed, but we did attack and occupy Afghanistan and Iraq.
Started working for me too.
But where do I look for them? Upwork? Toptal?
Ha, the funny thing is, there are conjectures both ways! Some people think winners get noisier and noisier, the spaghetti code conjecture. Others actually think the winners get cleaner and cleaner, the clean code conjecture.

Personally, I am slightly leaning towards clean code being more powerful. Chaos is hard to control.

https://nickdrozd.github.io/2022/03/12/formal-theory-of-spag...
Hey, we've actually mentioned jupyter-ai in the original post above. In my experience, the UX we've created is much better than jupyter-ai and AFAICT jupyter-ai doesn't have an inline code completion replacement like GitHub Copilot (that we're supporting with Codestral)

If you've used jupyter-ai, I'd really appreciate if you can try out Pretzel and tell us if you're missing anything. We definitely are behind on the number of integrations and as you say, jupyter-ai codebase is more mature but I really think we've a made a much more usable tool.
Her Math-Ed portfolio: https://mckellarmath.com/about/

The Chayes-McKellar-Winn theorem describes a type of ferromagnetism.
And how far of a cable would you need to get 24/7 solar power? Because based on my math, it would have to cross a lot of timezones - including ones with a lot of people that would be happy to chop that cable if it meant screwing with the US.
It's not especially easy to bring people to Japan because of all the other administrative barriers around housing, bank accounts, etc., as well as the language requirement. As can be seen from the low immigration rate.
Another wrong assumption about dams, whether for pumped storage or not: they're safe and environmentally friendly!

Hydroelectricity has killed several orders of magnitude more people than nuclear power, and it causes a lot more environmental damage too.
To make an analogy, right now using a LLM filter to read the literature is like reading Scientific American or New Scientist - fun, interesting, entertaining and not always right on the detail.

Let's say, for example, you wanted to build your own cutting edge LLM - would you just ask an LLM on how to do so? Or would you need to do more, and would a simple literature/internet search be just as effective as a starting point?

Note that in my experience - when you are a world expert in some tiny area ( like when doing a PhD ), you realize that quite a large proportion ( ~50% ) of the stuff published in the area you really know about is either wrong in whole or part, and another good proportion doesn't really move the field on.

So back to the original question - how did OpenAI get a lead in LLM - the story I heard was they talked to leading academic's about who were the best people in the field and tried to hire them all.

ie to paraphrase Richard Feymann on the Emperors nose question - you don't really find out the true answer by averaging over loads of ill-informed opinions - much better to carefully examine the nose/data source yourself.
I agree that you want to have the flexibility for what you use to build your LLM application. For example, if you want direct API level access to building and searching through your RAG layer, calling your LLM models, and other business logic, you should. There's a lot of opportunities to fine-tune each of these layers. However, you are still left with having thousands of combinations that you can experiment with, ex. which prompt template x rag context x LLM model gives me the best results. And you need a framework that helps you manage these thousands of experiments. That is where I'm trying to position this framework, which is it helps you scale the need for being able to try thousands of different configuration of your LLM application, so you can improve your LLM application performance, while providing as much flexibility for what components you use to actually build your LLM application.

With our framework, if you want flexibility for

> You know exactly what goes into the prompt, how it’s parsed, what params are used or when they are changed

We provide this for you. We just give you a process that lets you try and evaluate different configurations of your LLM application layer at scale.
Yes we need nuclear but these statements often feels like attempt to sweeping the problem under the rug. Because nuclear takes time to build. And this is not just about nuclear. Exxon report from early 80s stated that to cover energy demand nuclear or renewables would need 50 years to catch up. I guess demand is even bigger now.
Will this mean in-person business interactions will thrive because it will be the only way to avoid spam? Will companies hire thousands of people to deliver message in-person because emails no longer work?

Will our AI overlords create perfect androids to fool us into thinking we're interacting with a human when it's just LLMs disguised as people? Are we ourselves delusional because we're actually already LLMbots so advanced that we can't distinguish thought and running inference? Why do we have only 12 fingers?
It’s horrendously expensive because we insist on doing it in the shittiest, least efficient way possible. Like California’s high speed rail (frankly).
What about this?

Accurate and Infinite Prime Prediction from Novel Quasi-Prime Analytical Methodology

https://arxiv.org/abs/1903.08570
AI solves gigantic issues and helps us with cancer, protein folding, potentially math and other studies, material science etc.

Bitcoin consumes as much energy as a country and has basically done nothing besides moving money from one group of people to a random other group of people.

And bitcoin is also motivated to find the cheapest energy independent of any ethical reasoning (taking energy from cheap chinese hydro and disrupting local energy networks) while AI will have energy from the richest companies in the world (ms, google, etc.) which already working on co2 neutral 24/7.
To be fair, this is already the case on all the platforms, as you can easily put together a game with free assets from the assetstores (or pay a few dollars for pretty high quality assets). For every standard game genre you can imagine I'm sure there are thousands of generic games released every year on every playform (don't have any real numbers but I get that feeling...)

Rendering the assets by AI or buying them from the asset store is not going to change the number of generic games put out there I think, maybe AI gen can make some of them a bit more unique at best.
Perhaps of interest: an open-source implementation of Tavli in JavaScript: https://github.com/michaelti/olympus-backgammon (disclaimer: I'm a co-author). Curious if we could share some knowledge here!

Excited to read more about the Universal Backgammon Engine Interface mentioned in the post.
I think it's not so much about interpreted vs. compiled but more about the delivery of client code to the user - every time any user visits any website the browser may have to download the code (if not cached), then parse it, then execute. The less code that needs to be shipped, the faster time to interactivity and also less bandwidth usage.

Some bundles may still be big if teams don't use it, and some libraries are not structured in a way that facilitates dead code elimination.

Consider libraries that use `class`, such as moment.js, all functionality is made available as methods on the Moment class. If you only use 1 method, you still have to bring in the whole class. Whereas if a library is structured as free functions and you only use one, then only that gets included and the rest is eliminated.
This assumes that all datacenters are created equal and it doesn't matter if you run stuff in the US or in Asia, or...
And where do they stand worldwide? Still higher than all the third world countries eh?
The DECT limitation is not true. I have it paired with a Gigaset.
It's not faulting it, just showing that it is no better in that regard.
So you are saying that Biden should use his newly acquired presidential immunity to assassinate Trump with Novichok and claim Putin did it.

He will get Republican support for the war in Ukraine and shore up his presidency. And if it is found out that he did it, suffenly this law will be unpopular with republicans and get overturned! Win-Win-Win!
This was tried by ZyX-I when the Neovim project was started. AFAIK they managed to create an alternative parser for Vimscript, but the transpiler was never finished (or productionized?), I think due to incompatibilities that are hard to avoid. Some relevant issues:

- https://github.com/neovim/neovim/issues/170

- https://github.com/neovim/neovim/issues/387

- https://github.com/neovim/neovim/issues/392

- https://github.com/neovim/neovim/issues/801
Just a casual conversation to see if there's a match.

At least in Brazil, some companies still use this approach. My current company does for high level positions, as well as another one where I was interviewed. They include two or three architecture questions, though.
WordPerfect was my perfect electric typewriter experience. It struck a nerve for me.

I had an old, bulky laptop, Windows 3.11, and then WordPerfect 6. Of course, everything had to be installed from disk.

This was my technically totally limited writing setup, however I was very productive with it and enjoyed the setup.

Even on Windows 95, WordPerfect was my tool of choice. MS Word overtook only because WP crashed too often and the beneficial Grammar tool was lagging behind.

I felt sad the moment I had to let go of WP. Even thinking about it today feels crazy. I never ever again felt an emotional rift after switching to another tool. It was only this one time with WP.

I think Corel bought WP and somewhat tried to revive WP, but this came too late.