skysight-inc/HackerNews huggingface dataset:
Back in the IBM BIOS days, they were writing machine code. Basically a series of operation codes (ie, numbers).

Two people trying to implement the same complex system were almost guaranteed to produce the same code for several components. A clean-room procedure offers a verifiable defense that the duplication was not a result of copying.

Today we use much higher level languages so it’s trivial to write the same code a hundred different ways. I’m not sure a clean room is worth the effort other than to force the engineer to not be lazy and copy.

All that said, there’s also copyright rules covering derivative works. I’m sure there’s plenty of precedent in literature to cover “copying without actually copying” but I wouldn’t know how that works.
People (small investors) generally dollar cost average because they don't have the money to buy it in a lumpsum, so I don't really see the point here. You also do it because you're more likely to do it vs a lumpsum, it feels less painful. That is one of the reasons the advice exists. Not everyone has spare cash laying around.
I'm not sure why people keep talking about teflon pans and dental floss. There are PFAS in products that necessarily release them into human bodies and the environment, in dispersed form rather than flakes that would usually pass the digestive system.

A few examples:

- food containers coated with PFAS (usually single use, often cardboard)
- water-repellent PFAS spray for clothes, shoes, cars/whatever
- surface PFAS treatment of clothes/shoes/whatever (better but still rubs off)
- PFAS bike-chain lube

Why are any of these things legal? They cause much more exposure, by design cannot be contained and spread PFAS everywhere you go. They are the reason there are PFAS in snow on Mt. Everest.

Pans, medical tubes and maybe even inner layers in clothes can at least theoretically be responsibly disposed of, e.g. by reasonably contained incineration. I don't want to support unneeded PFAS, but pans seem a whole different category than spray-on PFAS for "weather-proofing" that people use because shrug "it helps I get less wet".
Just wondering, what is the cpu that you picked?

But I agree, tdp should really be kept in consideration.
> Also, they are really not happy about it.

I think they are just inherently unhappy and miserable because they are Russians living in Russia.
The new M2 Ultra can process 24 4K streams at once. How much more processing power do people with the Mac use case in mind need?
This is my experience as well: almost no existing software is written with ultra low latency in mind (it's optimized for throughput instead).

Getting latency in the micros with low jitter is extremely difficult and requires a bunch of custom software. And getting into the nanos requires a bunch of custom hardware.
Anyone know where to get an invite? Sounds like something I'd quite like to participate in.
Historically, the "reasonable person" standard has been sufficient for a handful of things like obscenity, IP, and other nuanced things.

I wonder how much that will change in the age of AI!
It should be considered part of the US military industrial complex and people largely object to it for the same reasons they would object to Raytheon or Lockheed Martin being involved with something. Palantir obviously operates on a different layer, but it still provides support for the military operations of the US.

Of course that should not be controversial for Airbus, which themselves operate military industry and directly cooperate with firms like Raytheon and are competing with Lockheed and such. Working with Palantir is just another drop.
What forces would we expect to act on the coasts of the United States but not the interior?
Depends on the use case. I personally undervolt my AMD 7950X in my gaming PC to use less power and thus generate less heat and fan noise. It makes a big difference.
A lot of people in academia are fairly average and so is the work they do.
> Economically and environmentally it's absolutely a problem.

[citation needed]

Economically the Intel CPU of the 90s that had a very bad perf/watt compared to today's standards have been awesomely worth it

Environmentally, CPU have been getting better and better, the difference of a few 10s of watts doesn't really make any difference, unless you have numbers to back up your very strong claim.
Thanks for info - happy to accept I was wrong :)
Dude doc tests are the one thing I really really miss when I moved over from working on python backend to a typescript backend…

Actually unittest as a whole, testing in ts/JS feels like a mess, everything is just fanned out everywhere, there has been such a lack of structure in our codebase. I’m sure there are examples of well organized testing suites, but I’ve yet to find them.
I like it a lot, good job!

If I could make one suggestion, add a way to input text using the keyboard. Yes, I want to practice talking, but the voice-to-text is still far from perfect, and it makes it awkward. It often mishears things, and sometimes thinks I speak other languages that I don't even know! Maybe also add a way to say that "this isn't what I meant to say", and give me the choice of the top 3 highest ranked interpretations.

Also, one feature I think would help a lot, is if the bot was a bit more active, like quiz me, comment on the errors I'm making, and build "lesson plans" so that I can focus on the topics, instead of having to think what questions I should ask.

Having said all that, what you already have is a really great start! I signed up and looking forward to check it again in a month or two.
It’s such a strawman point. But this comparison is totally bonkers. If you’re doing a workload meant for a 4080/4090 then you really have no business pointing at the M2 Ultra as a competitor.

Then there’s comparing like technology to like technology. Something like the 5700G AMD line, and that’s not even nvidia. But that probably isn’t as interesting to the authors.
When I’m in function foo I may have a local closure X. When I’m editing bar I don’t need to consider X, right?

I think what you’re trying to say is “how do you pick a subset of a tree to load at any given point” / “it’s simpler to have the entire semantic tree and traverse it than trying to keep a live tree”. If that’s a correct reading, I agree, it’s a difficult problem. I don’t have any specific recommendations other than to note it’s a graph and graph databases don’t need to keep the entire graph in memory to do queries so there must be something similar you could do with code. The other part is that not all parts of the graph are equally relevant so intelligently pruning it should result in better completions. I explored this mildly as an undergrad but the topic never sufficiently interested me to continue pursuing it.
It wasn't "way after" in Utah. Xmission turned on in October 1993. They grew a lot in 1994 but most people in the valley still did not have internet access yet. By 1996 the situation was very different - but 94 was still early in the Utah Internet days. The growth in Internet adoption was so rapid during those 3 years that the difference just between 94 and 95 was quite large.

And yes, many faculty, students, and staff at the U had access. But that was like 50,000 people in a metro area of a few million.
It's SAP-style software with a slightly prettier UI, not a cool jetfighter. Your analogy was a perfect example, though.
It definitely sounds better if it means some money/favours will be passed under the table to you or your friends.
More on Compaq's reverse engineering: https://www.allaboutcircuits.com/news/how-compaqs-clone-comp...
Lower power consumption means less heat, which means you might see more reliable performance (less likelihood of throttling in the middle of intensive workloads)

This doesn’t matter for everyone’s use case, but it is a factor some people might consider.
Single M2 Ultra only.
Nice try, comrade!
I don't think there are any universal roles. I would use a screwdriver maybe once or twice a year. Dollar shop ones seem fine for that
> I do think a lot of advice is about reducing volatility because amateur investors freak out over sudden negative drops and then make mistakes out of panic

I agree with this, but personally, I don't like DCA because you aren't managing risk. I found that it's way easier to manage fear and greed in markets if you have proper risk management, and most people simply don't want to learn this skill for whatever reason.

"Every battle is won or lost before it is ever fought", so you should have a plan where to enter and exit a trade.

> Time in market beats timing the market so to speak?

This works for past performance of S&P500, but if you look at other indices like Nikkei225 (Japan's lost decades of economic stagnation) this strategy doesn't work too well.
It’s not really about enforcement. It’s about saying it’s not allowed. That’s sufficient for many cultures.
Nobody affirmatively says “yes, my goal is to violate copyright law, and Copilot is the best tool I’ve found”. But it doesn’t seem impossible to me that the value of Copilot comes partially from the fact that it can copy paste code from copyrighted repositories in ways which would be illegal for you or I to do. I’m not sure it’s proven yet but I wouldn’t be shocked if it is in the future.
Network Visualization of AI research areas (2019)
And Penrose sued Kleenex for violation, and won. They had used the tiling to make a better tissue.
Great points and each one of them is a foundational item to pull something off and keep it decentralized and open.

Love to chat more on what are the possibilities, existing tools, and advancements needed on those.

Where can I find you on the internets?
> You can talk without having weekly scheduled 1:1s.

And you can have unlimited PTO, too, but does it really happen if you don't have some minimum set amount of time you have to use?
Compaq’s Clone Computers Skirted IBM’s IP and Gave Rise to EISA (2017)
There are two conflicting requirements- solve climate change without anybody losing any money. When climate change is strongly correlated with consumption that's difficult.
> Then he mentions that he has only 192 "worldly possessions". I'd like to see the actual list,

Author didn't even seem to read the LA Times link he linked. I've personally got close to 5000 staples in a drawer. And I'm sure the author has some similar huge amount of an object. He's undoubtedly not counting his shoelaces as separate objects, where it seems likely the authors of the research on items in a household are.

From the LA Times piece:

> The average U.S. household has 300,000 things, from paper clips

emphasis, mine. A box of paper clips is considered multiple items.
Like I said in another comment, the results say Apple is faster than both base SKUs on multithreaded and within the margin of error on single threaded once you consider they only used one Geekbench result.

I don't think it's misleading anyone to say they're faster, when their on SoC graphics are 4060 level, they definitely are overall.
There are also second-order giveaways that someone is using AI generation, in the case of photos the photographer would probably take numerous shots of the subject before submitting the best one, and if challenged they could produce the rest of them as evidence that they're the real deal. As far as I'm aware, using AI to generate a plausible series of photos with all of the details being consistent between them is much more difficult than generating just a single plausible photo.

In the case of artwork, the author of even the most convincing, artifact-free AI generated piece will immediately crumble if asked to show WIPs, non-flattened project files or timelapses. I have seen some charlatans attempt to fake WIPs by using style transfer to turn their finished piece back into a "sketch" but the results aren't very convincing, the models aren't trained on the process of creating art conventionally so they're not good at faking it.
https://wccftech.com/m2-ultra-only-10-percent-slower-than-rt...

They also posted this.
LLM Garden
>With so many Large Language Models (LLMs) released daily, we put together a list of everything available so we can easily search and compare our options.
Research as a Stochastic Decision Process [+ how to 2x any research] (2019)
> A Rolex is an incredible engineering marvel and is in fact very high quality and durable.

But it's fundamentally worse at being a timepiece than a digital watch synchronized to an NTP time server.
That can be useful because the doc website turns into some kind of sandbox where you can tweak directly the test function and see the result without having to write the code yourself.
Ah, Voat. Thinking back, I cringe at the fact that I was quite a prominent user in it's very early days, before it got took over by antisemitism etc. Before the FPH crowd and others who were banned from Reddit came over, it was a reasonably nice place where otherwise-silenced (/"uncomfortable") topics coule be discussed in a fairly pleasant and intellectual way (sometimes). I even bought some merch to support the site when ako (or w/e the founder's username was?) was complaining about running out of money for the site.

A good example was that I actually remember discussinf about the increasing rate of transexuality amongst children on there (what could be the causes, the consequences, etc.), all the way back in circa 2015. 8 years before it became such a hot-button topic...

Voat never went away though - Poal was created and the entire, quite angry and detestable, userbase migrated.

There will always be a spectrum of humans, and every spectrum has two ends, and there will probably always be the "80% middle" forums, and the "10% ends" forums...
Citation needed? Do you live in some alternate reality?

> "... the difference of a few 10s of watts doesn't really make any difference, unless you have numbers to back up your very strong claim."

We have a billion power-hungry PCs running on the planet. Power-efficiency matters for economy and for environment, because power isn't free and only a tiny speck of the world runs on clean energy. It always mattered.
> devices that apply by default some form of AI-based generative/corrective algorithms like the "AI detail enhancement engine"

Isn't this a contradiction, though? My understanding is that generative AI is created entirely from software, using a network of previously created images as input. A corrective filter modifies an image taken directly from a sensor instead.

I personally don't mind aesthetic corrective modifications to photos. I was an astronomy observatory last night and learned that most of the magnificent images we've seen of distant nebulas and galaxies have post-production coloring applied, they mostly look black and white coming off the sensor. Does the coloring fundamentally change our understanding of what it is that we're looking at? I don't think so, and that's where I draw the line.
> In general, it's extremely difficult to prove that anything is AI generated at all.

It seems like it could be pretty simple — if there's a question, you ask the creator to provide the original RAW and have a conversation about how they got to the final "developed" image. If there's still doubt, they could be asked to duplicate/approximate the process in a screen-sharing session.

I'm not familiar with the current state of content provenance initiatives like Content Authenticity Initiative¹, but generative AI is likely to boost their popularity.

¹ https://en.wikipedia.org/wiki/Content_Authenticity_Initiativ...
Just to add - I think the backports repositories don't get enough attention when this occasionally comes up.

Trying to run a mix of stable and testing packages can be a pain as occasionally a package you want to bring in from testing will try to bring with it new system libraries, which in turn often conflict with the "stable" versions of packages (so you are forced to move a lot more of your system to "testing" packages than you originally wanted to fix this).

The key advantage (at least for me) of using the "backports" repositories is that it avoids this - packages are compiled against the "[yourrelease]" system libraries.
The hacked HBGary emails show that Palantir was committing criminal acts in order to attack Wikileaks and associated. They're not law enforcement but they do things that only police/FBI normally could get away with (post-2018 law changes allowing the FBI to hack anyone). They're so entwined into the US security state they might as well be part of it, except they have no accountability and because they're not government they can do many things government agencies are restricted from. It's basically a loophole corporate shell game. If it weren't done on behalf of the federal government itself the feds would definitely have charged them and shut them down.

As for the other parts of Palantir that do business with other parts of the security state like Boeing, well, that's why they incorporate. To avoid legal and social accountability for their criminal actions by abstracting it away even within their organization.
People don't even understand their political affiliation.

Viewing humans through that lens is reductive. I think we've figured out our disagreement here!
Doesn't this completely miss the point? DCA is about reducing volatility, not maximizing return. Your expected value is higher without DCA, but it's not about the expected value - it's about tightening the stddev of possible outcomes. "A bird in the hand is worth two in the bush".
Also the emotional headwinds of mourning the death of their mother.
but in the future it probably won’t be

I see this parroted so often, and I have to ask: Why? What is there outside of the world of SciFi that makes the AGI of the future so nebulous, when humans would have presumably advanced to a point to be able to create the intelligence to begin with. Emergent properties are often as unexpected as they are bizarre, but they are not unexplainable, especially when you understand the underpinning systems.
It's been "fully" C99 (and C11, C17) compliant for about 2 or 3 years. The only missing C99 featured before that were relatively rarely used ones like _Pragma.
I think you can argue that there is significant daylight between "created wholly or partly using generative AI" and the sort of ML-based noise reduction, sharpening, etc. that you see in products like Lightroom and Photoshop. Of course, the whole area will evolve and rules like these will have to evolve as well. News photography has dealt with this since pre-digital although different publications may have different standards.
Good to know, thanks. [yes, we mostly use Foundry]
> The overall disk usage for "bookworm" is 365,016,420 kB (365 GB)

Time to flex new SSD drive and install ALL the packages. Of course, I'll do it a bit later, when downloads will get back to normal levels.
If stock market always goes up in the long run, I bet you can mathematically prove that just investing all your money as soon as you have it beats any dollar cost averaging where you just invest a small amount in frequent intervals (and keep some of your money in cash).
“In addition, even with the current state of the internet, we don’t have understanding everything we are doing with it” -some guy in the ‘90s probably
Environmental risk: hydrogen leaking and reducing the amount of methane removed from the atmosphere
>Artists, filmmakers, illustrators and photographers whom we commission and work with will be asked to confirm that none of the work they submit has been generated or augmented using generative AI

"or augmented"
I have one notebook that I carry around where I list tasks just in order to cross them out. There is something so viscerally satisfying in crossing out a task that just provides so much momentum to whatever I'm doing. There's just something beautiful about making the implicit explicit and then striking it through.
Performance per TDP is always relevant. Sure individuals may choose they just want whatever to maximize a metric, but that’s a different decision entirely. Like comparing a motorcycle and a truck without mentioning all the things different between the two.
Show HN: Share-links, save, manage and share interesting links
Hi HN! I feel that the state of this small project of mine is advanced enough to be shared here.

I created this thing because I was growing frustrated of how Shaarli (https://github.com/shaarli/Shaarli) worked (but I don't remember why now, though).

Share-links is fairly simple; you add links, maybe tags and a description, and it store them on a small django website, that you can share to your friends too (I'm missing the "links" page on personal websites that made me discover a lot of cool websites).

However, it allow you some more features (favicons before links, autofetch lang & title, basic comment system, multiple users, basic search, highlight posts...) that may interest you.

I'm using an instance since 1 and half year, and it's been great to store the links I find interesting on the web! (I don't took the time to add tags & comments to my links, but I use the search feature a lot).

I hope some of you will start using this project and suggest new features :)

(sorry for my bad english, I'm writing this in a hurry before leaving the computer)

(don't worry if my own instance is down, it's selfhosted and I have a very bad upstream)
Palantir can stick their agenda, their company, and their CEO, right up their own jacksie.

Quote me.
The thing is that there a lot of direct victims of Soviet crimes or their relatives who are still alive and remember their atrocities.

The Nazis on the other-hand generally just murdered everyone they hated (losing all of your property + 10 years in the gulag wasn't really an option if you were a Jew in eastern Europe...).
“Generative AI.” I know there are kind of weird edge cases. “My iPhone made the sunset way redder than it was in real life.” But I think we all know what they’re talking about and I suspect if you’re in a position for it to really be a concern then you will communicate with Nature and sort out what their comfort zone is.
Whilst I'm no longer an Ubuntu user due to their snap debacle, I don't think this is all that fair, they released over a year apart and LTS is LTS for a reason :)
Many need things that aren't media encoders. The 24 4K streams are impressive, but it's less impressive when you realize it comes from having overly redundant video encoders from gluing two M2 Maxes together. For raster graphics performance, BVH traversal, ray tracing and machine learning purposes, it's entirely understandable why someone might prefer an older Intel Mac for performance purposes.
Core i9-13900KS consumes 150W with 24 cores (8P+16E)

so an average of 6.25 watts per core

which is less than a Pentium 90, a 1994 CPU running at 90Mhz

in absolute is not a 20x worse TDP, but it is relatively to the gain in frequency and performances (more than 20x actually)
There is also http://ciel-lang.org/#/scripting for scripting in Common Lisp (similar to Janet)
I believe Rust guarantees ABI stability through the C FFI, what it doesn’t guarantee is a Rust <—> Rust stable ABI (unless you use Rust <-> C <-> Rust).
True. The Copyright Office is going to eventually have to walk back its recent guidance too. Whether they will realize they need to on their own or need to have Congress to act is the only question.
Doesn't release CO2 or methane during production and use
The government seems to manage the task just fine every day.
Even OpenSSL previously struggled to get enough funding until it finally blew up and the situation became widely known. Things aren’t easy for projects led by volunteers.
If I squirt medicine from the vet into my cat's mouth, am I raping my cat?
Presumably not a deranged Hindu nationalist? Seems good enough...
That's a good point. RAW is such a common format in the photography community but somewhat of a silly format for a generative AI to write to based on its file size.

Also, is generative AI capable of dramatically upscaling the quality of it's output relative to its input? I would assume so but I've never really thought about it.