skysight-inc/HackerNews huggingface dataset:
Who's stopping their nyt articles in favor of chatGPT? Nobody stopped watching movies when their lines are in the lyrics of songs.
Ultra-Low Inference Latency with LLaMA 65B on PyTorch/XLA
Yes, I have some Swiss friends who wish I would use Threema, I politely declined and we've agreed to use Signal. After a while it becomes difficult to distinguish the difference between these applications with the noteable exception of WhatsApp which is owned by Meta who I absolutely don't trust.
The analogy to a database is also irrelevant. LLMs aren’t databases.
I have faith in your ability to make it through these difficult times.
From a quick google search (to make sure I'm not just stating my memories, but actual facts) the RP2040 can toggle a GPIO at about 66MHz (via its PIOs. Otherwise a bit slower, and using more CPU). USB 1 is 1.5 or 12Mbps, so you should have no issues even if you bit bang it.

Despite the USB protocol overhead, it is plenty even for a gaming mouse. Pretty sure there's no point polling it at above 1 kilohertz or so.
I referred to the case to point out that Google practically got away with what was a gigantic violation of the spirit or principle here, in that Google gets to keep a copy of these millions of works for itself without ever having paid for them, regardless of what it made available to the public.

As for "what would Google do with all these book copies anyway if they can't make it public?", that has now been answered more directly than ever.
When all the legal precedents we have are about humans, human analogies are incredibly relevant.
This smells like insurance scam from the "independent" dealership.

Now all three parties, the dealer, manufacturer and insurance are pointing fingers.

Good on the owner to have brought this to the media.
Given that roaches were affected by the GHI it appears they were immune to other pesticides and were not simply evading bait/poison? It could be the issue with the pesticides sold to consumers being too weak (understandable, as some consumers will try to consume those despite any warning labels and the vast majority won't be using any PPE while applying).
Many KVM switches do this, just search Amazon for KVM switch + HDMI/Display Port, but they're often not great in my experience. My last one only lasted a couple of years and would sometimes fail to pick up my monitor.
I'm trying to break my year into quarters this time, and go all-in on one thing for each three month period.

Q1 is all about going beyond C1 in French. Concretely, I want to be able to listen to podcasts at 1.5x like I do in English, or be able to run product discovery calls. (I'm running my first one in French in a couple of weeks, so I'll have a baseline. Ironically, the main problem might be not knowing which English terms to leave in!)

Later in the year, I'd like to give a go at programming more. To show how little I've done, I recently fired up Webstorm on my home computer and realized it was still on version 2021.1!
> Poverty is obviously not inescapable.

It may depend on what you mean. It's not inescapable to some - they escape it. It maybe inescapable to others; most don't escape it.
Aside from whatever algorithm they use for serving lives themselves I also want to point out the following:

No one downloads TikTok just to watch lives. You download TikTok because you heard it was entertaining. Or if you were early, because you kept seeing ads for it back when TikTok was buying a lot of ads to promote TikTok.

The algorithms keep you scrolling the normal For You Page (“FYP”).

Every now and then the algorithms put a live stream in the FYP.

So even if the Live algorithm might not be sophisticated (which I don’t know if is true – I don’t work for ByteDance), it is certainly the case that it is the algorithms that draw people into the TikTok live streams in the first place for a lot of people.

And then one day people get unlucky and they are sucked into one of the streams where it seems that everyone is gifting and they get the feeling that the lady in the article talked about when they make an innocent $1 gift, and if they are even more unlucky it spirals out of control for them.
Yup, and I think that'll quickly uncover the reality that LLMs do not generate enough value relative to their true cost. GPT+ already costs $20/month. M365 Copilot costs $30/user/month. They're already the most expensive B2B-ish software subscriptions out there, there's very little market room to add in more cost to cover payments to rightsholders.
> it gained marketshare despite this very limitation, indicating that to some extent that is what consumers were expecting to purchase.

Have you ever watched the iPhone keynote? Either way I suggest you watch or rewatch, because it was marketed as a computer.

The reason people didn't care about the restrictions (compared to a general purpose computer) at the time was because it was such a leap forward in mobile devices.
> Saying "the game is rigged, don't bother playing, wait until xyz happens"

Nobody said that.
another story that i just remembered:

I met a guy, at the time the boyfriend of a friend of mine. We hanged out a few times, mostly in his place. He lived in a giant house with a big garden around it. His family was italian and most of them lived in italy. He didn't work or anything and lived a very lavish lifestyle, going to fancy restaurants and driving sport cars. His older sister (she was like 30 something) came to Brazil for some vacations and was always trying to find a guy in parties or bars or any social situation, in an almost embarrassing way. Not a guy for a 1 night stand but for a serious relationship. She met a guy in a bar and started dating him. She started to pay him meals, go on trips with him etc that was responsible for draining all her money in about 2 months. He even sold her an apartment (he told her that it was an incredible investment opportunity). The guy disappeared with the money shortly after (around 100k dollars). There was a little bit of drama but soon after she went back to italy.
His view of the Industrial Revolution is completely wrong.

Societies pre-IR had multiple periods where energy usage increased significantly, some of them based specifically around coal. No IR.

Early IR was largely based around the usage of water power, not coal. IR was pure innovation, people being able to imagine and create the impossible, it was going straight to nuclear already.

Ironically, someone who is an innovator believes the very anti-innovation narrative of the IR (very roughly, this is the anti-Eurocentric stuff that began appearing in the 2000s...the world has moved on since then as these theories are obviously wrong). Nothing tells you more about how busted modern universities are than this fact.
> Not paying them their fair share will likely decrease the volume of high quality data available

It won't. Thats not how capitalisam works. If high quality data became unavailable, then companies will be created to fix the problem. Only they look quite different from NYT.

Just like how Torrents didn't kill movie industry. These are lazy arguments made by people who want to make money through lawsuits.

Also I can guarentee you even in worst case, humanity would survive just fine without those high quality content just like it did for the past 50K+ years.

What you should actually be concerned about is stupid law suits like this that can prevent progress.

AI could help humanity solve more pressing problems like cancer.

By getting caught up in silly law suits like this and delaying progress one can make a case that you bring more suffering to the world.
It’s the first comma in click-bait.
I think the `@scope` feature (not widely supported yet) would make CSS a bit more fun for me personally.

Apart from that glimpse of hope, I'd not go as far as calling CSS "fun" anytime yet.
"suddenly", except that there was a lawsuit about iMessage[1] in 2014 which AT&T and Google joined[2] in 2015, and ad campaigns about the Blue Bubble/Green Bubble thing specifically in 2019, e.g. by Samsung[3]

This has been brewing for a long time, and it seems GSMA folks are now certain enough that RCS is a replacement to SMS to make some larger waves.

[1] https://www.digitaltrends.com/mobile/imessage-judge-orders-a...

[2] https://www.digitaltrends.com/mobile/apple-imessage-android-...

[3] https://www.inc.com/jason-aten/samsungs-response-to-apples-g...
An antibiotic is an antibiotic whether or not it would kill a patient too.
Winnicott
I come from a VHDL background and I think this is why Chisel always looked weird to me.
If they can do that, who's to say they can't fly?
Maybe, and certainly with the current trend of synthetic data they can also create it, but I don't think quantity of data beyond what something like GPT-4 has been trained on will in of itself change much other than reducing brittleness by providing coverage of remaining knowledge gaps.

Quality of data (which I believe is at least part of why synthetic data is being used) can perhaps make more of a difference and perhaps at least partly compensate in a crude way for these models lack of outlier rejection and any generalization prediction-feedback loop. Just feed them consistent correct data in the first place.
My Common Lisp Setup on Linux
Isn't it because the line number is 16-bit unsigned int?
Also don't get it. Took a scan over the last two weeks and didn't see a single other product pushed.

Doesn't look like shill to me. Then I'm biased from previously Reddit moderating a large sub, and the shills were... egregious, obvious, and neverending.
They can’t transfer rights to the output of it isn’t theirs to begin with.

Saying they don’t claim the rights over their output while outputting large chunks verbatim is the old YouTube scheme of upload movie and say “no copyright intended”.
https://github.com/debauchee/barrier is the still-open fork.
> We do have systems that reason. Prolog comes to mind. It's a niche tool, used in isolated cases by relatively few people. I think that the other candidates are similar: proof assistants, physics simulators, computational chemistry and biology workflows, CAD, etc.

I think OP meant other definition of reason, because by your definition calculator can also reason. These are tools created by humans, that help them to reason about stuff by offloading calculations for some of the tasks. They do not reason on their own and they can't extrapolate. They are expert systems.

http://www.incompleteideas.net/IncIdeas/BitterLesson.html
It requires a socialized solution: to fund it for future needs rather than for profits.
I used these flash cards to great success while studying Japanese and preparing for the JLPT. https://whiterabbitpress.com/kanji-flashcards/
It’s likely first and foremost a resource problem. “How much different would the output be if that text hadn’t been part of the training data” can _in principle_ be answered by instead of training one model, training N models where N is the number of texts in the training data, omitting text i from the training data of model i, and then when using the model(s), run all N models in parallel and apply some distance metric on their outputs. In case of a verbatim quote, at least one of the models will stand out in that comparison, allowing to infer the source. The difficulty would be in finding a way to do something along those lines efficiently enough to be practical.
With the complex supply chains and processed/ready-made food we have nowadays I am wondering how much iodine makes its way into the diet of the Swiss today even without ioded table salt.

I suspect that one of the issues was that most/all food used to be sourced locally, especially eggs and milk, which are good sources of iodine, with seafood probably mostly absent from the Swiss diet.

Edit: apparently nowadays, and taking animal feed into account, Switzerland imports about 50% of its food.
That part doesn't seem relevant to me in any case. IP pirates aren't prosecuted or sued because of a claim of ownership; they're prosecuted or sued over possession, distribution, or use.
If meatspace’s non-technical industries and social/civil organs get the wool pulled over their eyes again, they deserve whatever tech-induced industry chaos that occurs - search/ad revenue models destroying journalism, social media destroying our civics and bonds, “move fast and break civil regs” (which have real people and their lives behind it) with Airbnb and rideshare, and now maybe LLMs and content ownership.
It’s a good question. I treated my own apartment building for roaches many years ago, five years later had a completely healthy kid, she’s 8 now. For the sake of full disclosure, my second kid has a pretty major birth defect (spina bifida) but this was after the first healthy kid and before we developed a roach problem at our current house (one of the home care nurses actually brought them in) and treated for that, and many many years after I’d stopped being an exterminator, so the timelines of exposure -> birth defect don’t really line up.

The spray isn’t an aerosol, you apply it under corners and in places kids shouldn’t be able to reach. I’m not a chemist, but I know you’d have a real bad time if you drank it straight.
I've got one floater that tied itself into a knot several years ago. I was looking into a microscope, and I saw it cross my vision with this perfectly tied knot that wasn't quite pulled tight. Now it's worked itself into a tangled mess, and when I see it it's more like a hairball.
> It would only be feasible to build on top of existing libraries, which is the whole point here.

I don't think you've made a single point that substantiates that claim and neither has anyone else, really. The person you're arguing with has built (as per their own estimation) more from scratch when it comes to the actual search engine core than anything else in their own project (https://marginalia.nu/).

Honestly, it seems more like the people arguing a search engine is somehow "off limits" from scratch are doing so because they imagine it's less feasible, probably because they simply don't know or are in general pretty bad at implementing things from scratch, period.

To a large degree there is also a wide difference in actual project scope. Remember that we are comparing this to implementing Space Invaders, one of the simplest games you can make, and one that is doable in an evening even if you write your own renderer.

To talk about "webscale" (a term that is so deliciously dissonant with most of the web world which runs at a scale several 100 times slower and less efficient than things should be) is like suddenly talking about implementing deferred shading for the Space Invaders game. Even if this was something you'd want to explore later, it's just not something you're doing right now because this is something you're using to learn as you go.
I don't think this is a gap. The pronouncement was made on behalf of Twitter, through its agents.

I.e. if an exec promises me a bonus, I'm presuming that it's not a personal promise they're paying out of their own funds. They're making a promise on behalf of the company to pay me with company funds.

That it's not in writing is odd, but I'm guessing both sides of the conversation are willing to testify.

> It seems even more puzzling to enforce this on non-profitable private companies. The precedent that would be set here would severely undermine the ability of a private company to operate if it came in far under revenue targets, and was beholden to pay out bonuses to employees.

Then they shouldn't have made that promise. In reality, it was going to cost them either way though. They either promise a minimum bonus and pay that, or more engineers quit and they spend the money replacing those engineers.

It's also worth noting that at the time the promise was made, Twitter would have still been profitable after paying the bonuses. Musk failing to maintain that profitability does not free him from contractual obligations to employees anymore than it frees him from contractual obligations to other companies.
He didn't circumvent computer security. He had had a right to use the MIT network and pull the JSTR information. He certainly did it in a shady way (computer in a closet) but it's every bit as arguable that he did it that way because he didn't want someone stealing or unplugging his laptop while it was downloading the data.

He also did not distribute the information wholesale. What he planned on doing with the information was never proven.

OpenAI IS distributing information they got wholesale from the internet without license to that information. Heck, they are selling the information they distribute.
If you are just starting out, i highly recommend Cloud Computing for Science and Engineering by Ian Foster et al. - https://cloud4scieng.org/

It gives a comprehensive overview of the Cloud Architecture, the various pieces involved and how they all work together. The whole "Cloud Technologies" field is quite vast and overwhelming and this book provides a nice comprehensible roadmap.
All good conversations ebb and flow, and the interview process is just trying to distill the conversation to some entertaining or useful end. Some would use A.I. in an attempt to distill it more, and may find some gem or morsel worth consuming, but miss the depth and value of the conversation itself. It may be time saving for information transfer, but at the expense of the connection that a conversation grants the participants (and to a slightly lesser degree listeners).

Remember that this technology was developed for the NSA because of the data deluge it's surveillance systems created. Who had time to listen to hours of recorded phone calls looking for potential dangerous activity? Speech to text helped alleviate the problem for a short while, but when the internet took away the monopoly the phone companies had on long-distance calls, the volume of international calls went ballistic, and the NSA needed a way of filtering the data to something more useful. In comes A.I. to the rescue!
LLMs are not databases. There is no "citation" associated with a specific query, any more than you can cite the source of the comment you just made.
https://github.com/haimgel/display-switch might be a piece of what you need to get this working.
Can you imagine spending decades of your life studying antibiotics, only to have an AI graph neural network beat you to the punch by conceiving an entire new class of antibiotics (first in 60 years) and then getting published in Nature.

https://www.nature.com/articles/d41586-023-03668-1
I think there's a need to separate knowledge from learning algorithm. There's need to be a latent representation of knowledge that models attend to but the way it's done right now (with my limited understanding) doesn't seem to be it. Transformers seems to only attend to previous text in the context but not to the whole knowledge they posses which is obvious limitation IMO. Human brain probably also doesn't attend to whole knowledge but loads something into context so maybe it's fixable without changing architecture.

LLMs can work as data extraction already, so one can build some prolog DB and update it as it consumes data. Then translate any logic problems into prolog queries. I want to see this in practice.

Similar with usage of logic engines and computation/programs.

I also think that RL can come up with better training function for LLMs.
In the programming domain for example one could ask LLM to think about all possible test for given code and evaluate them automatically.

I was also thinking about using diffusER pattern where programming rules are kinda hardcoded (similar to add/replace/delete but instead algebra on functions/variables). Thats probably not AGI path but could be good for producing programs.
I’ve built and already shat down a platform (a marketplace) that solves this exactly: https://github.com/poss-market

> define the corporate relationship with developers to ensure companies paid a fair amount for the benefits they receive. It would remain free for individuals and non-profit, and would entail just one license

If anyone is interested in helping out with business side of the project, please reach out jed@poss.market
Can I ask what industries with what application? I've seen lots of task like summarizing articles or producing text. The image and video work seems too rudimentary to be taken seriously.

Is there something out there that seems like a killer application?

I was amazed at the idea of the block chain but we never found a use for it outside of cryptocurrency. I see a similariy with AI hype.
Apple Watch Series 9 and Ultra 2 Sales Ban Paused by US Appeals Court
It's "theirs"? The copyright monopoly was created to advance art and science, anything else is a mere perversion. So who are in the moral right, those advancing science by developing humanity's literal pinnacle of science, artficial intelligence, or those trying to hold the development back for their own commercial interest?

Mind you, Google books, literally just text from copyrighted books published for everyone online, was ruled "fair use", due to it's benefit to humanity.
Nand2tetris is absolutely great, I cannot recommend it enough.
> point of Open Source as compared to Free Software

While what we know now is that Free came first and indeed Open Source was a different "offering" with a different focus, a response to it...

... I must admit I have heard and actually started to love Open Source several years before even hearing of Free Software
This seems to be a slightly shortened version of an earlier article by the same author. The swiss weekly magazine "Das Magazin" published a german translation of this longer version in 2019 [1]. It is an absolutely fascinating read.

Since the article from OP is relatively short on images, the following are links to more images from the german article, with captions translated into english. Warning: images contain depictions of the medical condition discussed in the article. YMMV, but i don't consider them 'gross' or NSFW.

Image 1: https://cdn.unitycms.io/images/EzdPT4pM4HAAzsQiwi_L2d.jpg
Caption: Woman with goitre in Frienisberg, 1921.

Image 2: https://cdn.unitycms.io/images/5PhByWEba4W8L0W1EnHXiE.jpg
Caption: Woman with cretinism, 1928. (Today the word has a derogatory connotation, but primarily describes an illness of great cruelty).

Image 3: https://cdn.unitycms.io/images/Bu0SX8WY4gK8jMZgebpyss.jpg
Caption: Six women with cretinism, ca. 1920.

Image 4: https://cdn.unitycms.io/images/8qBQEgsuqq-BMdsEAPN63U.jpg
Caption: Found the solution to Switzerland's original curse: Heinrich Hunziker from Adliswil ZH, drawn by Marianne Zumbrunn in 1977.

Image 5: https://cdn.unitycms.io/images/7tdlChuPq-3AIeFiSvh5U1.jpg
Caption: Experiments with the snow shovel: the Valais country doctor Otto Bayard, 1937.

Image 6: https://cdn.unitycms.io/images/5JGFFaXN48BA4xOsHXf0Zu.jpg
Caption: Sun-tanned outdoorsman: the Herisau general practitioner and later chief physician Hans Eggenberger, undated.

[1] https://www.tagesanzeiger.ch/wie-drei-heldenhafte-aerzte-die... or https://archive.is/rHzSV

edit: formatting, removed german caption texts
Creating custom ChatGPT agents for fun and for profit
Who wants to read a transcript of a podcast. 99% invisible does this so much better - a long podcast with all the details, accompanied by a short article with photos. More work of course, but that's what the AI solves.
Maybe the NYT should do more to protect its own content, it could go back to exclusively being a newspaper, they seem to understand that better than this whole internet funny business.
Clarence Thomas drives a Prevost motorhome worth something like 3..10x that (I don't think the price on the title was the full market rate for that rig):

https://archive.ph/qBxHY