skysight-inc/HackerNews huggingface dataset:
https://www.techtarget.com/searchitoperations/news/366570820...

"[The] additional work done by Buoyant developers to backport minimal changes so that they're compatible with existing versions of Linkerd and to fix bugs, with reliability guarantees, to create stable releases will only be available behind a paywall, Morgan said."
Can someone give mea reference that describe how exactly multimodal tokens are generated?
Your map page doesn't explain itself at all. Every page on your site needs at least a tagline to help people understand what they're looking at.
It really is so difficult. I'm trying to lose weight at the moment and I simply don't have it in me to do it without taking appetite suppressants, which have their own risks and side effects. But I just don't think I have it in me to do it with just caffeine and keto like I did when I was 25.
That is because it has hardly helped the middle class who have almost nothing in 401K accounts. Instead it is served as a tax break for the wealthy, not the original intention. Of course it should come as no surprise that wealthy people are fairly good at gaming the economic system.
Is there an Open (source) TPU project?
That's impel - https://tryimpel.com
I would also love to see a consumer GPU with a lot of VRAM. I think 128 GB would be too expensive BUT I'm hoping the Nvidia 50 series comes with 32+ GB VRAM for at least the top tier cards of the family (today they max out at 24 GB VRAM in the 3090 and 4090.)
By not being a CI tool, nor claiming to solve such Turing-complete problems.

Pijul has a theory of textual changes, but indeed doesn't care at all about what you write in your files: that's your problem!
But what if little timmy asks it how to make a bomb? What if it's racist?

Then what?
> has never been known to occur for any other reason

Of course it has. Again, these things regularly give humans extra fingers and arms. They don't even know what humans fundamentally look like.

On the flip side, humans are shitty at recognizing bias. This comment thread stems from someone complaining the AI only rarely generated white people, but that's statistically accurate. It feels biased to someone in a majority-white nation with majority-white friends and coworkers, but it fundamentally isn't.

I don't doubt that there are some attempts to get LLMs to go outside the "white westerner" bubble in training sets and prompts. I suspect the extent of it is also deeply exaggerated by those who like to throw around woke-this and woke-that as derogatories.
The fine tuning process isn't itself a statistical model, so that principle doesn't work on it. You beat the model into shape until it does what you want (DPO and varieties of that) and you can test that it's doing that.
Enable development that does not rely on a central repository.
For some people/projects it's important, although these days it's a minority.
Data and Brokerage for CRE in Mexico
We are developing a platform designed to provide brands with real-time, reliable, and cost-effective access to data, facilitating their expansion into new cities across Latin America. Additionally, we assist them in locating suitable commercial spaces for their expansion endeavors.

Currently, companies encounter difficulties in accessing timely data when entering new cities or establishing new locations. Moreover, they struggle to maintain real-time visibility into the performance of their commercial spaces post-launch.

At Crezes, we are addressing these challenges by creating a platform that offers real-time, interactive data insights, along with assistance in identifying optimal expansion locations for brands. Our business model comprises a monthly subscription fee for ongoing data monitoring of commercial spaces, a one-time payment for assessing ideal launch sites, and a brokerage fee for engaging with real estate agencies and agents.

Interested in learning more? Sign up at www.crezes.com/datos to explore further.

Any comments with this please write me to santiago@crezes.com
If quora [1] is to be believed, your imagination has failed you by a drag factor of 50%.

[1] https://www.quora.com/Do-curved-surfaces-have-an-aerodynamic...
LLM Evaluation at Scale with NeurIPS Large Language Model Efficiency Challenge
Are you sure? I've been watching YouTube basically since it launched and I don't ever remember it consistently getting that right.
Open source isn't meant to give everyone control over a specific project. It's meant to make it so, if you don't like the project, you can fork it and chart your own direction for it.
Agreed, but "how do we design the process to ensure, structurally, we cannot kill our customers" starts to sound a bit more engineering-like, no?
While I personally prefer .yml (shorter is better), yeah .yaml is the standard convention.
My tips on how to lose weight in 7 days: exercise and dieting are two essential components that should be taken into account when trying to reduce weight. It’s critical that the two are in balance. If you follow your diet and make regular breaks from If you workout or work out a lot but don’t eat right, you’ll notice that your body behaves extremely differently.
Or TrumpLang.

"It is what it is".

https://www.google.com/search?q=Trump+it+is+what+it+is

2nd hit onwards.
I got to know about it through this video from the Tsoding recreational programming channel: https://www.youtube.com/watch?v=2E3E_Rh3mvw
Why does Figure 7 not include a validation curve (afaict only the training curve is shown)?
Many an argument has been won by the response: "but consider Lisp and Forth"
The generated HTML on HN when you inspect the source is like so:

<a href="https://listingbott.com" rel="nofollow">https://listingbott.com</a>

It is a nofollow link so not sure how much SEO juice you'd get out of it, but if I google Index Rusher right now, I get this HN post as the second link, where the first is the product's website itself.
>There's nothing rational about this valuation.

The market can remain irrational far longer than you can remain solvent.
Nvidia invested in CUDA for decades! Following research papers in computer graphics or physics for example, you'd find a transition from Fortran to CUDA over many years. That helped quite a lot when ML came back and CUDA made it easy. They ported many basics like FFT, BLAS, etc. to CUDA so the building blocks were there already when AI grew too. Of course, it helped that many Python ML library backends also supported GPU via CUDA.

If you look at the same landscape from AMD's side, it's lackluster to say the least. And they're only now trying to catch up... And they have to make it CUDA compatible!

Nvidia won on the tools side, the GPUs aren't necessarily faster, but the only way to use them easily is CUDA.
This is already happening, actually, although the focus so far has been on the possibility of their use for CSAM:

https://www.theguardian.com/society/2023/sep/12/paedophiles-...
The Lost Art of Single-Tasking Devices
One needs to follow the money to find the true direction. I think the ideal setup is that such a product is owned by a public figure/org who has no vested interest in making money or using it in a way.
`go run main.go` breaks if your `main` module is divided into multiple files.

Use `go run .` instead - it's shorter and it works with multiple files
This isn't a benefit of go, but rather a drawback of the counter-example of typescript... All tools generally designed to work for creating small utilities ({ba,z,...}sh, python, perl, go, swift, ...) have this feature.
Almost the entire value of strategic nuclear weapons is deterrence; a well-known paradox is that they are useless - or really much worse than useless - for actual employment.

Lots of failed tests would seem to reduce the effectiveness of deterrence: enemies might think you can't actually employ it. Obviously it's very important to test, but it's also very important to ultimately have a convincing success story.
I'd say Nvidia's release of Cg differentiated them, winning wide developer favor, with a positive constructive feedback.

Cg made programmability of shaders widely accessible, since C was (20 years ago) widely known?

https://en.wikipedia.org/wiki/Cg_(programming_language)
GitHub Actions uses .yml in examples. [1]

Thought it supports both equally.

[1] https://docs.github.com/en/actions/quickstart
> If you train your model to prioritize real photos

I thought that was the big bugbear about disinformation and false news, but now we have to censor reality to combat "bias"
> Regardless of your browser choice, we'll still hijack 'alt+back_arrow' to show you supported browsers instead of navigating to the previous page.

Frustrating. I'm using Mac, so the corresponding shortcut for returning to the previous page is command + left arrow (back arrow), now hijacked. command + [ does the same thing and isn't hijacked yet. If you're on Windows, backspace might work in Firefox, but you'll first need to change to change a flag in about:config [1]. I'd be reluctant to give backspace that behavior, since I've accidentally lost progress on online forms by accidentally navigating to another page.

[1] https://support.mozilla.org/en-US/kb/keyboard-shortcuts-perf...
And it has a rotating restaurant such that it would generate electricity due to the wind caused by the nuclear blast due to Magnus effect.

/s
> If they're going to cause confusion, at least incorporate some additional functionality at the same time.

That seems like the worst time to add new functionality.
It's definitely this at this stage. But by not having any discourse we'll end up normalizing it even before establishing consensus on what's appropriate to expect from human/AI interaction and how much of a problem is the actual model, opposed to a user. Not being able to generate innocent content is ridiculous. Probably they're overshooting and learning how to draw the stricter lines right now, but if you don't argue, you'll allow to boil this frog into a Google "Search" again.
I can’t wait for the closed source and NDA future of everything. It’s gonna suck.
This is also wrong. Unexploitable strategies can still be -EV. This video does a good job of breaking it down: https://www.youtube.com/watch?v=HfuXD0YADIM
Why are they making 13-inch laptops? It looks like a toy: small keyboard with tiny keys, tiny screen which cannot display IDE, tiny touchpad. If you want something small and lightweight to take with you, isn't it better to buy a 13-inch tablet then?
I trained an AI model on my own character to create an animated music video
OK, you are correct, Material You is the main complaint here. Basic Material isn't that bad, but Material You ruined everything.
Did you mean to reply somewhere else? This doesn't seem to relate to what they said.
My dear fellow, some believe the ends justify the means and play games. Read history, have some decency.

The danger of being captured by such people far outweighs any other "problematic things".

First and foremost any system must defend against that. You love guardrails so much - put them on the self annointed guard railers.

Otherwise, if You Want a Picture of the Future, Imagine a Boot Stamping on a Human Face – for Ever.
Chrome is not open sourced, Chromium is.
we have `pijul diff -sU`, which is similar to `git status`. Also, feel free to contribute!
For TypeScript, "deno run" seems much the same?

(It's only a subset of the JavaScript ecosystem, but you can import a lot of npms nowadays.)
> The next challenge to solve: We need to improve the quality of products on Agora. There's a lot of resellers, dropshipping stores, and low quality images.

Glad to see you’re thinking about this. The sheer prevalence of dropshipped junk on Amazon is a huge problem and I’d happily shop elsewhere if I could find a good way to discover products.
There's limited information on the site - are you using them or affiliated with them? What's your take? Does it work well?
A version of this that seems both easier and less weird would be an AI that listens to you all the time when you're learning a foreign language. Imagine how much faster you could learn, and how much more native you could ultimately get, if you had something that could buzz your watch whenever you said something wrong. And of course you'd calibrate it to understand what level you're at and not spam you constantly. I would love to have something like that, assuming it was voluntary...
The "smart tasks" functionality looks like the most compelling part of that to me, but it would have to be REALLY reliable for me to use it. 50% reliability in capturing tasks is about the same as 0% reliability when it comes to actually being a useful part of anything professional.
> Fong has opted to censor the faces of other inmates in the photo, except for Bankman-Fried and another inmate, known as “G Lock”. Explaining her decision, Fong mentions having previously interviewed G Lock, hence his face remains uncensored. Additionally, she notes that G Lock is a former member of the Blood gang.

he looks scared in that photo. maybe this is a clue to why. did he seek protection?
Very surprising… never thought this this way. How can you guy even thought of this. Using anki for language learning and latex, vim … how can this even occur to your mind … really wonder.
Snowflake & Azure Synapse are competing products, if that helps.
Doesn't look that different from what we are already doing. For example AlphaGo/AlphaZero/MuZero learn to play board games by playing repeatedly against itself, it is a self improvement loop leading to superhuman play. It was a major breakthrough for the game of Go, and it lead to advances in the field of machine learning, but we are still far from something resembling technological singularity.

GANs are another example of self-improvement. It was famous for creating "deep fakes". It works by pitting a fake generator and a fake detector against each other, resulting in a cycle of improvement. It didn't get much further than that, in fact, it is all about attention and transformers now.

This is just a way of optimizing parameters, it will not invent new techniques. It can say "put 1000 neurons there, 2000 there, etc...", but it still has to pick from what designers tell it to pick from. It may adjust these parameters better than a human can, leading to more efficient systems, I expect some improvement to existing systems, but not a breaking change.
I understand your frustration with the heady enthusiasm of the poster but:

Isn’t it true that Thunderbird sixteen years later still lacks complete and first-class maildir support?
There is nothing new about this. It dovetails with private-public fusion.

Taking a partial cue of China's approach to infrastructure development, the US military should expand its civilian domestic involvement beyond the Army Corps of Engineers involvement in megaprojects to assist under-resourced communities, especially those lacking sanitary sewers, clean water, basic broadband, and public transportation. Flood protection is one of its existing primary missions that will need greater funding and preparation for more extreme droughts and storms.
So if you are bought in on AI demand over the next ~3 years, what companies are you buying stock in?
25 years ago I thought Office Space would be enough to kill the meme of "technical people can't talk to customers".

It's amusing but sad to see that Agile rent-seekers have managed to creep into the process once again.

And developers have bought it.
Yet, the engineers did go with two AoA sensors. The MBA’s aren’t putting the planes together. Ultimately, it’s engineers who build the planes within the budget and parameters set by the bean counters. Somebody decided 2 AoA sensors were good enough and the engineers built it that way, presumably giving the ok to use just 2 sensors or they would have cut some other corner instead.

There’s plenty of blame to go around and many people deserve to be fired, but this notion that the engineers should get a free pass because an MBA told them to do it is absurd. Obviously, it was engineers giving assurances they could, in fact, build a safe airplane per requirements. It’s silly to think management would go through with building a plane if the engineers had told them in no uncertain terms that it had fundamental flaws. It’s a big fat fail all around.
I would love to see a rethinking of desktop hardware. GPU's are huge. They used to be dinky little add-on cards ... but at this point we almost need to have a dedicated mainboard for them.

Imagine this - instead of a motherboard mounted to the back of the case, it is mounted in the center. Behind it would be another motherboard, with a socket for a GPU and ram slots for memory. Kinda like a right/left brain connected with a high-speed interconnect. You open the left side of the case to access CPU and its memory, you open the right side of the case to access the GPU and its memory.

You would be able to upgrade your GPU chip independently of everything else. It wouldn't be mounted sideways in a PCI slot where additional brackets and support arms are needed. You could upgrade the RAM independently. Cooler, etc.
I suspect this is useful for porting one vector space to another which is an open problem when you’ve trained one model with one architecture and need to port it to another architecture without paying the full retraining cost.
If you look closely at the response text that accompanies many of these images, you'll find recurring wording like "Here's a diverse image of ... showcasing a variety of ethnicities and genders". The fact that it uses the same wording strongly implies that this is coming out of the prompt used for generation. My bet is that they have a simple classifier for prompts trained to detect whether it requests depiction of a human, and appends "diverse image showcasing a variety of ethnicities and genders" to the prompt the user provided if so. This would totally explain all the images seen so far, as well as the fact that other models don't have this kind of bias.
Well ATI is still around as AMD. But definitely behind the lead.
I'm involved in "modern" systems for Purchase Order and Invoice transmission between companies - using a standard called "cXML". I say "modern" - it dates back to 1999 when we were shouting "XML all the things!". 25 years later companies are just discovering how to use it to stop manual data entry.
Illegal to what extent? Jail-time illegal? Or just slap-on-the-wrist illegal?
I think you're in a desktop computer "whole product is one computer" moddel. A car is a set of computers, almost nothing in a car is central to itself.

There's probably a body controller ECU that ties into engine ECU and driver's key systems. So theives would just generate and flash a new key/cert, that'll be certainly possible.

Infotainment? That's almost literally an aftermarket parts. American reviewers tend to see it as integral part of a car or even a central computer, surely it's important in terms of product experience but architecturally it's more like a printer over Ethernet than a laptop integrated display.
I would straight-up uninstall your project and take any measures possible to remove myself from your platform (if any) if I discover an underhanded change like this.

A medium? Ask people. FOSS is different. There is a level of expected transparency and trust along with it that you can’t get back when broken. Changes like this are a very easy way to break that trust. Trust is everything here.

I expect to be tracked by commercial tools for the most part, but I still try to control how.

How would you feel if a trusted tool changed something you deem important without telling you? Generally a response is feeling betrayed.

The fact that someone skilled enough took time out of their lives to make this PR means that it matters enough to seriously reconsider.
Dark mode is still pretty hit or miss across the web and across apps, and I'm not sure I ever see that changing.

That was my fear when Apple rolled it out at the OS level -- that it would only ever be half useful because it just wouldn't become universally adopted.

Contrast that with, for example, 2x/3x retina resolution across apps and the web which is now totally standard. I almost never see icons or UX elements with blocky pixels anymore, except on extremely old forum software.

By this point I almost wish Apple would forcibly smart-invert everything that looks like light mode into dark mode at the OS level. Like trying to read Google News at night is a nightmare because half the articles are dark but half are light.
Isn't it much about "poker-face" including knowing your opponents?
I have been using their beta for the past two weeks and it's pretty good. Like I am watching youtube videos and it just pops up automatically.

I don't know if it's public yet, but they sent me this video with the invite: https://youtu.be/dXvhGwj4yGo
CUDA wasn't even a thing when 3dfx went bust. Work on what was to become CUDA started at Berkely by a phd student sometime in 2000. CUDA first released to the general public all the way in mid-2007.
> Without a good PM to shield you from the customers insanities you are lost

Nice but now there isn't anyone to shield us from the insanity and micromanagement of PMs.

Especially the ones who "dabble in programming every weekend".
> When you say Claude is worse than Mistral Medium are you going by the Chatbot Arena Leaderboard or some other benchmark?

I'm mainly going by the arena leaderboard, but it's also true in my limited experience with the two. (I mainly use either GPT-4 or open models.) And it's the only model I can remember getting an ethical refusal from. (I don't push hard in that aspect, so it was surprising.) I know it can be jailbroken, but, precisely because I don't push the models hard, I'm not skilled at jailbreaking.

By the way, the mention of API access reminded me how weird it is that the Claude API is still application-only, unlike OpenAI, Google, and Mistral.
Get ready for a BIG impact across the world! The rise of Sovereign AI is creating a huge opportunity for next-generation data centers and platforms like NVIDIA and AmorphousDB. Don't miss out on this exciting development! #nvidia #AmorphousDB
Most of these examples don’t automatically fetch the dependencies. Having come from Python, Go’s tools are notably simple.
From what I can read the author got really unlucky with some kind of radical API changes. Maybe at that time the LLVM team was a bit less serious with deprecations ?

I use LLVM since v9, nowadays I'm stuck on v15 (that's not because of LLVM btw).

Between the two versions there's been a radical change too, i.e "opaque pointers", but the transition was rather smooth as we were provided, for a long time, the two versions of the functions affected by the change. Maybe the LLVM team got more serious since the author experienced the said difficulties ?

Other thing I note is that the author uses the CPP API. I use the C one which exposes only a high-level subset of the CPP one. This encourages a saner use of LLVM, a more concrete separation between the front-end and the mid-end, although sometimes there are limitations.

A simple example of what encourages the C API, especially since opaque ptrs are added, is not to rely on LLVM to retrieve the IR type of an IR value. That should always be done using the AST, eg with an `.ir` field in your nodes.

Another one I remark, after a brief overview of LLVM-CRAP, is that the author had to change the internal data structure used, depending on the LLVM version [0]. Using the C API that would never had happened. The C API essentially allows to create block refs, instructions refs, value refs, type refs, contexts. Then you choose the containers you want to use to hold them. No need to switch to another stdcpp one, even if internally LLVM does so.

[0]: https://github.com/c3d/xl/blob/master/src/llvm-crap.cpp#L265
> Lisa Su (Jensen's cousin, btw)

TIL! Wow, that's wild.