skysight-inc/HackerNews huggingface dataset:
> Accordingly, the Court will strike any filing from an attorney who fails to file a certificate on the docket attesting that the attorney has read the Court’s judge-specific requirements and understands that he or she will be held responsible under Rule 11 for the contents of any filing that he or she signs and submits to the Court, regardless of whether generative artificial intelligence drafted any portion of that filing

Surely an attorney should be held responsible for any and all of the contents they file to a court. How much of that is generated/prepared by junior or trainee attorneys, paralegals, or researchers etc.
> And also mightily pissed off for not being a senior title.

Not as pissed off as when you'll find out during salary negotiation that you're not an Advanced System Engineer after all, but an Advanced System Engineer.
I don’t believe attorney client privilege applies if the lawyer is actively helping break the law.
I had the same experience and ended up leaving after my trial.

I contacted support and the just said "yup, those emails were suspicious and were correctly rejected." Err, no. If I'm the customer and day I want to receive an email you shouldn't be rejecting it.

I likely wouldn't have noticed if I didn't run a service that was emailing me. But after that I noticed other senders also being blocked. Adding to my address book also didn't work, I guess that whitelist runs after the accept/reflect decision.
Was it done out of curiosity a few times or do you use Bitcoin as a currency daily?

Do you know anyone using Bitcoin as a currency daily? How many people do you think are using Bitcoin as a currency for legal business VS the number of people using it to speculate on its price and/or shady activities?

I'd love to be proved wrong but unfortunately neither of us will be able to collect this information so I guess we have to agree to disagree and live inside our little bubbles.
New Research about AI and Education
Java high-performance programming would be significantly improved by generics over primitive types. Writing performant code in Java feels like writing Fortran or C.

You end up using libraries like fastutil, which is "generic code" templated by C preprocessor macros,

https://fastutil.di.unimi.it/
I have always had the feeling that Mozilla went through a transformation when they suddenly had a very strong power backing them. I am specifically talking about AOL and their very litigious legal force. Although the particular arrangement is not in place anymore Mozilla isn't what it used to be before it either. (The story of them going after the Firebird database people is all but forgotten today)
You can use eventlog traces, from Debug.Trace [1]. You can (traceEvent $ "look: " ++show bazinga) everywhere you need and then stare at the log to your heart content.

[1] https://hackage.haskell.org/package/base-4.18.0.0/docs/Debug...

No need for extensions, just compile and run your program slightly differently. That's the power of declarative languages.
Do you have a source on this? Given that the UK has retained the EU GDPR as law[1] - I don't really understand why they would make it available in the UK and not the EU, seeing as they would have to comply with the same law.

[1] - https://ico.org.uk/for-organisations/data-protection-and-the...
FYI, in all jurisdictions I know of, this is already the case.
I.e., a non-compete period in which you are not paid to a level commensurate to what you got before is not enforceable. If employers try to enforce them in court, they will lose.

Source: had a non-compete clause in employment contract that had no mention of any pay during period. Employer initially did not want to pay me anything during period. Hired some lawyers and they paid 100% of my salary during that period. All the lawyers did was write some letters, never had to go to court.
He might not have thought it was a shortcut though.

If he thinks it is like querying a database and had never heard of hallucinations then this could just be an honest mistake. Especially if he thinks AI would be smarter than a database.

My first thought that he was a mess in general but we really don't have enough information. Like the other guy saying he cheated in life, it is pretty absurd to infer that.
I love my oral b io (as I should it's a 200 euro toothbrush) but never understood why it needs to have a Bluetooth chip.
It's completely free. No tokens nothing.
> While the Northern European moose is smaller than the North American, we still treat it with a lot of respect if we ever come across them in nature.

Smaller deers are dangerous and you need to be careful with them. In Spain the largest deers are red deers (males over 200kg are very rare) and there are a few cases of people killed by them. Even small females are dangerous enough to kill healthy large man.

Even roe deers, which are quite small (maybe 30kg a larger male), can cause serious injuries because they are crazy agile and fast and their antlers are quite sharp. Here's a video of a man trying to feed one: https://www.club-caza.com/files/videos/Ataque-de-corzo-a-per...

Deers may not look dangerous because they are herbivorous and cute, but they are.
Longevity fans want to create an independent state while eyeing Rhode Island
Oh come on, you make up new limits and constraints each time on each response..
You can run the world solely on renewables given enough effort and time, is a similar ridiculous counter to you now bringing up 2030..... pathetic really.

Building new nuclear plants, or just recertifying the old ones accordingly to current standards and supplying them with enough fuel
would have been possible til 2030, right?

Again, Frauenhofer is a diverse large body with multiple branches, they have also studies about cost and way to Germany on fully renewables 2050, without 100% gas backup - which study are you citing please?
Doesn't look to me like they're trying to kill .NET at all. Maybe F# in particular isn't getting the love and attention it deserves but they'd have to be mental to be actively trying to kill off something as popular as .NET
A better case for my Inkplate 10-based weather device
The most idiotic example of their stance with regards to microcode is related to Spectre and Meltdown. They deliberately removed warnings:

"Another significant change in this release is that it was pointed out
that there were error messages in Linux suggesting users to update x86
CPU microcode. Since such microcode is non-Free Software, such messages
don't belong in GNU Linux-libre. We now have patterns to detect and
clean up this sort of message. A number of them were introduced
recently, relying on microcode changes to mitigate Spectre and Meltdown
problems, but there might be others that go farther back. I haven't yet
made my mind on whether to go back, check and possibly respin such
earlier releases."

https://lists.gnu.org/archive/html/info-gnu/2018-04/msg00002...
syrus sockpuppet be gone
Just curious what kind of career did you have that enabled you to have a long stint as function programmer? The fact that you don't use Leet code makes it also sound you are not FAANG so makes it more intriguing.
NOTE: The linked article does not include a correction from the original press release. The “40F” cooling ability should be only “about 7F”.

https://www.acs.org/pressroom/newsreleases/2023/march/colorf...
Local Large Language Models – beginners guide
I spent some time gathering the knowledge around LLMs and most recent developments making them accessible on consumer hardware - created a blog post containing all my notes
dang: a heads up that phind.com is running an Astroturf campaign on Hacker News. They had a previous article with a huge amount of suspicious behaviour last week. https://news.ycombinator.com/item?id=36027302

This is why the headline for this article says GPT4 but the body is focused on mentioning phind.com.
The point here is that what is considered sexual harassment is itself political.

I can hear all kinds of overtly racist and sexist statements from my female colleagues, but because they are women, and their comments are directed at white folks and male folks, they are totally safe from this sort of retribution. (Ex. "I didn't want to move here because it's eyeroll so white")

Meanwhile, an (admittedly juvenile) set of jokes gets some people fired.
How the tcp socket works is important. Because how can you make a process listen forever until you kill it.

I think there's a serious issue in teaching style, where mentor often lost the bird eye view on things.

System programming to me, is like "under the hood".
Two Security Areas:
1. Kernel
2.Userland

The move to remove one ring level in intel chips was touted as to decrease complexity of the CPU chip and OS start times. That is not the only reason, there is a security reason as well.

Security is about making it hard on all surfaces to attack if feasible. If an OS hardens kernel to attack, then the attack moves to userland. See how virus and other attacks on BSD kernels work.

So the correct question is in the systems realm, can we come together to hardened both the Kernel and Userland equally?
Don't know what you are doing? But Bard is so much faster than openai and its answers are clearer and more succint.
All restaurants hate TheFork. Same with Booking (which is from NL, coincidentally) and similar sites. There's no way to compete with them, and by being an aggregator, they have massive benefits in discoverability. Customers are just going to open their page to search, instead of using their search engine, so you have to be on their site, but they are filthy pirates.
I actually considered starting a similar thread because I noticed this as well! Lately, it feels like GPT-4 is trying to get out of doing my work for me :D.

I've also started to notice it's been making a lot of typos eg. yesterday while converting Kelvin to Celsius, it incorrectly stated that 0C is -274.15K, despite correctly stating in the previous sentence the correct value of -273.15K.
Thank you for the detailed writeup with sources, I enjoyed this. I'd somehow never heard of Koomey's law despite working in tech, this is very interesting and directly relevant to the widespread deployment of AI (biological neural networks still blow silicon out of the water for computations per joule).
Most of research stuff done at CERN for example.

Besides the outcomes that were adopted by the industry, before cloud computing there was grid computing, exactly to manage such resources at scale.

https://en.wikipedia.org/wiki/Worldwide_LHC_Computing_Grid
I’ve been seeing similar comments about Bard all over Twitter and social media.

My testing agrees with yours. Almost seems like a sponsored marketing campaign with no truth to it.
I think the article is more about personal projects than what he does professionally. I write software professionally too and have shipped (or contributed to shipping) plenty of projects, but also have a lot of (more or less completed) personal projects that never saw the light of day...
LLaMa was not fine tuned on human interactions , so it shouldn’t be subject to the same effect, but it also means it’s not nearly as good at having conversations. It’s much better at completing sentences
Automated Web Accessibility
I haven't found them useful in my experience either, but they seem to have a real indispensable utility in some cases like algebra for simulations. At least, that is what I gathered from Matthew Crews who has the "FastFSharp" channel on YouTube and a Twitter account with the same name. (He employs mutability heavily for performance, so not what I think of as an average F# developer.)
No some are into the space industry.

So we can have internet anywhere. To click on ads.
Not really. If you are not being paid, you can just take a new job during the non-compete period and if your previous employer sues you they will lose, and they know it.
They could still sue you just to make a point and make you spend money on a legal defense, but it's unlikely you'd spend millions of dollars.

In my case, employer didn't want to pay. Hired some lawyers to send a letter saying that either they paid me or the non-compete was invalid and ended up getting paid full salary for the duration.
True and even then, you would only have a sorted list of the object's properties. But not a sorted list of the objects themselves.
Someone I know uses it to check the result of football matches. They have the number memorized and just go straight to the page of interest. Pretty efficient.
It only takes one country to host an open source AI model thanks to the internet.
`ord` is a hash function which preserves alphabetical ordering, etc.

It's not that hard, in many cases, to find an `f : DataDomain -> Int` st. `f(x1) < f(x2)` where `hash(x1) < hash(x2)`
> …that Poses Risks to National Security

very important detail missing from the truncated title.
Did they release the Codey or Unicorn models publicly yet? Or say when they might do that?
Lie? People go on the Internet and post Lies?!
Cool stuff. Did the OP think this was the best list aggregating uses of Generative Fill? Or is this kind of a hit at the AI "influencers" jumping on everything that is released these days? Or is there a better list? I see some links showing up in comments here.

After seeing things go from 0 to Stable Diffusion and beyond, the fact that GenAI can do x,y,z; well, seems like a given eventuality.
the equivalent on macOS was to use Dictionary, but I suspect that it not really viable anymore due to format/rendering contraints: CHM probably needed IE6 like compatibility, after looking for docs, Dictionary needs XHTML, which might easily cool any enthusiasm
I've pondered it myself, for me it comes down to whether the company has implemented it in an ethical way or simply as a way to maximise profits. In this case I feel like they aren't being malicious, but I've only used the brush with compatible brushheads for about half a year (was using up my old ones from an older model first).
Camus has his virtues. I would not, however, look to him for philosophical guidance.

“There is only one really serious philosophical problem, and that is suicide,” is hardly a statement indicative of a sound disposition.
Absolutely. I worked with a lot of different tools and Jira is as good as any other project management tool. But it just didn’t feel as responsive as, for example, Linear.

Asana was just as bad as Jira in terms of performance, with the added feeling that somehow something was always happening in the background…
Why did they drop it? It wasn’t working out?

https://news.ycombinator.com/item?id=21152469
Looks similar to CHM which was my favorite documentation format back when I was using Windows.
Noted, companies have convinced governments to help protect their pricing structure.

What I find disquieting are all the long comments discussing the intricacies of these 'grey market' tactics. To even discuss it lends this kind of bad faith dealing a legitimacy it does not deserve.

It's like fan fiction.

Maybe it's just me, but when powerful people conspire to screw me over, I'm not that interested in hearing their venal arguments about why it was reasonable and for my own good.
A simple "wrong" would've done just fine but uh.
Testosterone levels play a huge role in both memory and sexual satisfaction too.

I mean those are standard effects older men report from testosterone replacement.

To do an experiment in this area and not even mention testosterone is basically intellectual fraud to me.
A.I. poses human extinction risk on par with nuclear war, Sam Altman warns
This sort of capability is most useful for off the books surveillance. So no warrant required. Any parallel construction happens later. If you know what your targets are doing in detail then you can just get very lucky. As in: We randomly pulled over this car for a routine traffic stop. Imagine our surprise when we discovered that the car was full of the evidence of a serious crime!
Air New Zealand is asking passengers to volunteer to be weighed before boarding
Sure, cover your eyes.

This conversation needs to start at a point where we take the status quo of government, intelligence agency and private company operations into account, and not from an idealistic utopian perspective.

Companies or governments with unlimited budgets, zero morals and access to the worlds smartest hackers will always exist. I’m not being some kind of doomer, I’m being realistic.
Tell me a country you live and you can schedule screenings without actually having a physical even for the first time. Let's cut the bs and make a public bet with escrow. Only way to make people realize they talk bs.
I didn't see your other post I think, but here's my response to the list of AI risks on the website we're discussing:

https://news.ycombinator.com/item?id=36123082#36129011

Arguments like yours are very subjective. What is "rapid". What is "surprising". I don't find them particularly surprising myself - cool and awesome - but I was being amazed by language modelling ten years ago! The quality kept improving every year. It was clear that if that kept up eventually we'd have language models that could speak to like people.

So the idea of a surprising change of pace doesn't really hold up under close inspection. LLM capabilities do seem to scale linearly, with the idea of emergent abilities coming under robust attack lately. To the extent big LLMs are surprising to a lot of people this has happened primarily due to throwing a previously implausible quantity of money at building them, and OpenAI releasing one of them from their lab prison that other companies were keeping them in, not due to any major new breakthrough in the underlying tech. The progress is linear but the visibility of that progress was not. The transformers paper was 5 years ago and GPT-4 is basically an optimization of that tech combined with RL, just executed very carefully and competently. Transformers in turn were an improvement over prior language models that could speak like a human, they just weren't as good at it.

> It doesn't though, does it?

It does. Arguments that consist of "everyone knows that" are also called rumours or folk wisdom. It's fine to adopt widely held beliefs if those beliefs rest on something solid, but what we have here is a pure argument from authority. This letter is literally one sentence long and the only reason anyone cares is the list of signatories. It's very reliant on the observer believing that these people have some unique insight into AI risk that nobody else has, but there's no evidence of that and many signers aren't even AI researchers to begin with.
Wouldn't this open them to an DoS attack? Set your flipper to fire off bad password attempts at the store and now the entire aisle of toothbrush heads are silently disabled.
Consumer cards only have PCIe 4.0, at most 24GB VRAM and the only recent model with NVLink, the RTX 3090, can only be connected to exactly one other card. It doesn't scale beyond that. So you are limited to PCIe 4.0 x16 speeds.
https://jointhirdshift.com/
It’s not clear why you think the presumption of innocence is one of El Salvador’s problems, or why you think the presumption of guilt would solve them.
Notes:

Every new technology tends to grow four layers: capabilities, interfaces, frameworks, and applications.

There does not seem to be a way of skipping or short-cutting around this process. As technologies grow through these stages, they become more accessible to wider audiences. Understanding how these four layers emerge can help in growing a durable and successful business.

1. The first layer, Capabilities, refers to the time when a new technological capability spends time waiting for its power to become accessible.

2. The second layer, Interfaces, emerges on top of the capability and can be an API or any other form of simplifying contract that enables more people to use the technology. The Interfaces layer serves as the democratizer of the Capabilities layer.

3. Third layer, the Frameworks, focuses on utility and asks how the underlying Interfaces layer can be utilized in more effective ways and made even more accessible to an even broader audience. The Frameworks layer tends to be the most opinionated of the stack due to the many definitions of utility and many possible ways to achieve it. The diversity of opinion introduced in the Frameworks layer depends on two factors: the inherent value of the capability and the own opinion of the Interfaces layer. The Frameworks layer becomes the de-facto place where best practices and patterns of applying the capability are developed and stored.

4. Fourth layer, Applications, is where the technology finally faces its users – the consumers of the technological capability. These consumers might be end users who aren’t technology-savvy or another group of developers who are relieved to not have to think about how the technology works on the inside. The pressure toward maximizing utility develops at this layer. Consumer-grade software is serious business and it often takes all available capacity to just stay in the game. The whole reason the Frameworks layer exists is to unlock efficiency and further scale the availability of the technology.

This is exactly what is playing out with the large language models. While ChatGPT is getting all the attention, the actual interesting work is happening at the Frameworks layer that sits on top of the large language model Interfaces layer: the OpenAI, Anthropic, and PaLM APIs.
Are that many people talking to someone at the store when they buy a $65 toothbrush?
This could easily turn out to be counterproductive. It would provide an additional incentive to hide marketing in all kinds of other business activities rather than openly advertise what's on offer.

Marketing is already difficult to tell apart from other company communications, product documentation, etc. What about a company blog showing how to use their products? Is that marketing or product documentation?
kabes description is excellent. It just gives senders lots of info about receivers. Since it is WebRTC all the way through this is possible.

You can read about it in more detail https://webrtcforthecurious.com/docs/06-media-communication/
It's interesting to me that previously the consensus considered "the only way is up" with respect to generative models. Now we're seeing performance degradation with GPT, possibly indicating a peak or at least a local maximum.

I hope you're all ready with your pumpkin spiced lattes and turkeys because it seems like we're in AI autumn and we all know what comes after that.
I would guess that it would probably stop working altogether, if it cannot write in the brush head?
Yeah, the bing integration did not go well. Went from amazing to annoying.
It's mostly bad for your gums. The plastic bristles and abrasives in toothpaste aren't meaningfully wearing healthy tooth enamel in the amount of time most people spend brushing.
I can confirm this works with cats, it also seems to work on some dogs too
It certainly feels like it, even though it might not be technically true
The Vector API exists to write SIMD code in Java. This is an intrinsic inserted by the JIT compiler. HotSpot intrinsics are always written in assembly or compiler IR because they are inserted in the generated assembly.

Arrays.sort() could very conceivably be called in a hot loop, so you really don't want to allocate Java objects in it.
Huh? As shown in the article; the system keeps track of brushing time; not time in general.