skysight-inc/HackerNews huggingface dataset:
I don't think we disagree but I find it interesting that you state: "...what they do is incredibly painstaking and expensive"

And later proceed to explain an example of two different patents based on a drug from the 80s improving nothing but changing just enough to patent it and sell it for 100x the generic.
Microcode changes don't have to affect performance negatively. Do you have any evidence this one will? If it's a voltage algorithm failure, then I would expect that they could run it as advertised with corrected microcode. Unstable power is a massive issue for electronics like this and I have no problem believing their explanation. Bad power causes all sorts of weird issues.
Fwiw have on good sourcing that OpenAI supplies Tesseract output to the LLM, so you're in a great place, best of all worlds
With the current hiring landscape in web dev I’m not even sure all the jobs are there. :/
We do surgeries but I've never heard the term "curing your big nose" used. Perhaps those in the industry do, or maybe it simply does not translate between languages.
Well, this is true only if you think cognition and thought as a pure biological process totally dependent on state of brain.
Google Trust Services lets you go down to 1 day using ACME. No payment required.
> 3D over time is colloquially called "4D;"

Colloquially, meaning “used in or characteristic of familiar and informal conversation” 4D films have a definition, and that ain’t it. 3D over time is colloquially still referred as 3D, as evidenced by decades of 3D blockbusters.

https://en.wikipedia.org/wiki/3D_film

https://en.wikipedia.org/wiki/4D_film
This "mutually beneficial" goes often unappreciated or un-noticed. But it's key. Yes, at the limit, nobody forces the poker players to keep playing - they both want to keep playing. Sure. But in economic exchanges, all parties can be growing together. And growing faster the more they work together. All while the economy as a whole is usually also growing. There are parasitic organizations and individuals attached and sucking blood: And the economy can still grow for all the other participants. Within reason on the blood sucking.
That conviction was overturned a week ago[1]

[1] https://cen.acs.org/research-integrity/misconduct/Court-over...
Google drops plan to remove ad-tracking cookies on Chrome
Building an Analytics Pipeline with LLMs
You can actually find lists of 100 or more things if you look it up, that were made available in Android first, and some have not even made to Apple yet, like 4k or 120hz display etc.
I mean in the end aesthetics are intricately intertwined with how things are perceived and thus how they work.

There is only so much information a person can process at once, there are certain expectations where they would find things those can be met or sub erted, colors, font choice, all important for how information gets processed on the functional level.

So in the end design cannot exist with some degree of aesthetical choice, and the better designers are the better they are at choosing aesthetics that serve the functional choices (if that is the goal of their designs).

If you make it completely utilitarian it might become boring, and the function of a design in a SaaS company could also be to sell the product..
> but from my perspective the NixOS model is so obviously the "correct" way of doing an OS that it really annoys me that it's not the standard for every operating system

- Literally every person who's read the Nix paper and drank the kool-aid thinks this lol.

I STILL don't completely understand every element of my nix config but it's still quite usable. Adding software requires adding it to the large-ish config file, largely because I created overlay namespaces of "master.programname", "unstable.programname" and "stable.programname" (with the default being "unstable" in my case) but those would all ideally be moved out into 2 text files, 1 for system level (maybe called system_packages.txt) and one for a named user (perhaps called <username>_packages.txt) and if those could be imported somehow into the configuration.nix, I think that would make things a bit easier for end-users, at least initially.

The commandline UI (even the newer `nix` one) could still use an overhaul IMHO. The original CL utils were CLEARLY aimed directly at Nix developers, and not so much at end-users...

I've been working on my own wrapper to encapsulate the most common use-cases I need the underlying TUI for https://github.com/pmarreck/ixnay < and that's it so far.
Yes, that’s right!

Good wage slave, here’s your pizza and happy Friday.
Zuck needs to get real. They are Open Weights not Open Source.
I wonder if Warsaw would have been rebuilt if it had been destroyed by the USSR instead of the Nazis?
Housing can be very variable, to the degree there aren't any reasonable options in San Francisco even if you have a lot of people sharing a space. I don't think basic food varies nearly as much. A 5 pound bag of rice costs a little more in San Francisco, but not much more. I think there's less geographical variability in cost of living (excluding housing) if you constrain costs to basic needs.

Also a UBI shouldn't have to facilitate living _everywhere_. Santa Monica is lovely. Should we arrange it so anyone can move to Santa Monica and be able to live there fully supported on their UBI?

I hadn't really thought about transportation costs, and am inclined to leave it out of UBI calculations as it doesn't feel like a necessity. But in a rural area transportation is necessary just to buy food, so I guess that adds some complexity.
Isn't the MIT license the generally accepted "open source" license? It's a community owned term, not OSI owned
You can run the 4-bit GPTQ/AWQ quantized Llama 405B somewhat reasonably on 4x H100 or A100. You will be somewhat limited in how many tokens you can have in flight between requests and you cannot create CUDA graphs for larger batch sizes. You can run 405B well on 8x H100 and A100, either with the mixed BFloat16/FP8 checkpoint that Meta provided or GPTQ/AWQ-quantized models. Note though that the A100 does not have native support for FP8, but FP8 quantized weights can be used through the GPTQ-Marlin FP8 kernel.

Here are some TGI 405B benchmarks that I did with the different quantized models:

https://x.com/danieldekok/status/1815814357298577718

The 405B model is very useful outside direct use in inference though. E.g. for generating synthetic data for training smaller model:

https://huggingface.co/blog/synthetic-data-save-costs
>No new wars

>Good support for Ukraine

You're looking through a particular narrow lens.
I'm using Tumbleweed with btrfs snapshots, systemd-boot and transparent disk encryption (using TPM + measured boot), works fine.

Currently this needs to be set up semi-manually (select some options in the installer, then run some commands after install), but it'll be automatic soon.
You literally did.

> Being the perfect adult is table stakes? This description is the ideal middle class man. If that's table stakes to you, either you've got one hell of a catch or you've got a few more years left before you settle. Most adults, full grown adults, men and women, don't meet all those requirements. I do, most don't.
yes, that's exactly what I said here:

https://news.ycombinator.com/item?id=41039675
Not only that. LinkedIn is now plagued by these little diagrams posted and re-re-posted that tell absolutely nothing about a topic, useful just to some people that only want to get traction/attention on the platform. Then you have all these annoying suggestions of topics that at least for me 99% of the time I'm absolutely not interested in wasting my time on. Suggestions and posts that are from someone on the other side of the planet that I have absolutely no relation to. When I negatively posted about these diagrams, after few days my critic "magically" dissapeared from the platform. Gone. Then you are also invited to answer random questions I have zero interest on. I lost the count how many times I clicked "Not interested in topic" only to see it coming back over and over again. The list goes on and on. It is an absolutely rotten platform. Many many years ago LinkedIn was something completely different, and was quite enjoyable to use. Big companies really know how to ruin products.
Can you give me a tip of where to look? I'm interested in participating.
From the article:

> explaining things in context as they become relevant is infinitely better for retention and comprehension than explaining them upfront

At one point in my life "explaining things as they become relevant" was equivalent to not really giving a crap and letting them presumably mess it all up after I showed/told them the bare minimum.

What I found was that they learned on their own quicker than I assumed, didn't really mess up as bad as I thought, and loved me for the simple explanation. That's when I decided this is the way.

I don't know why I'm adding this in, but this strategy is also relevant to other topics such as relationships. Don't rush or get too excited. Don't ever offer more than what they're giving you. Expect people to bail when they got what they wanted. Embrace and reward them for sticking around. You become more than a means to an end when the fear of missing out is a factor. You also automatically filter out people who didn't respect you anyway.
Isn't that a legitimate part of learning professional poker? To measure how much you play against (now) known strong players?
To enable it locally.

If it's already enabled, the management engine is a separate computer tapping your network connection, no software install needed.
As an ML researcher, I agree. Meta doesn't include adequate information to replicate the models, and from the perspective of fundamental research, the interest that big tech companies have taken in this field has been a significant impediment to independent researchers, despite the fact that they are undeniably producing groundbreaking results in many respects, due to this fundamental lack of openness

This should also make everyone very skeptical of any claim they are making, from benchmark results to the legalities involved in their training process to the prospect of future progress on these models. Without being able to vet their results against the same datasets they're using, there is no way to verify what they're saying, and the credulity that otherwise smart people have been exhibiting in this space has been baffling to me

As a developer, if you have a working Llama model, including the source code and weights, and it's crucial for something you're building or have already built, it's still fundamentally a good thing that Meta isn't gating it behind an API and if they went away tomorrow, you could still use, self-host, retrain, and study the models
The best NVLINK you can reasonably purchase is for the 3090, which is capped somewhere around 100 Gbit/s. This is too slow. The 3090 has about 1 TB/s memory bandwidth, and the 4090 is even faster, and the 5090 will be even faster.

PCIE 5.0 x16 is 500 Gbit/s if I'm not mistaken, so using RAM is more viable an alternative in this case.

Edit: 3090 has 1 TB/s, not terabits
Welllll, women are saying a lot of men don't do this. They are basically bums.

Our great crisis is the growing number of bum men. And rather than work on being not bums, they sit around and complain online and stew.
There's literally a prison organ theft scandal ongoing in Alabama at the moment.

https://edition.cnn.com/2024/04/18/us/organs-removed-decease...
They hope it will make them money
Yes, and I don't get it. Why would people read a post without a link? My link posts do fine.
Be an advocate of the views you criticise. Try hard to argue their point and adopt it. You'll see an upside world where their ideas are superior.
Microsoft is stuck because anything they'd do would reduce the "freedom" of end users.

I work in big tech, and unfortunately we frequently need to have conversations about the smallest features because we have evidence about us giving users an inch and they taking a mile.
I deleted my linkedin account around the beginning of covid and haven't thought about it since. That place was a disaster zone.
That's because U+00A0–U+00FF are encoding an earlier character set: "ISO Latin-1" (ISO 8859-1), itself based on DEC's "Multinational Character Set".
The upper/lowercase trick does not apply to ß/ÿ but does in MCS where Ÿ/ÿ are at a different pair of code points.

ISO Latin-1 was the character set on many Unix systems, Amiga OS, MS-Windows (as "Windows-1252" with extra chars), and was for many years the default character set on the web.
I’ll add to that: in many industries/domains the incumbents are benefiting from the status quo and have no interest in upending it, while others have accepted some of these as “hard facts”[0].

I’m working on one such problem in the healthcare space, as an outsider. In early stages, so we’ll see if it goes anywhere.

[0] https://www.sequoiacap.com/article/pmf-framework/
What's the trainer-athlete conversation like that leads up to installing such devices?
I don't think that. I'm just explaining what follows logically if the cognitive manifold is compact.
Imagine if this app was B2B instead of B2C, or if it pivots to B2B in the future, or if it's acquired. Imagine also future passive income with little maintenance. And his project seemed like a side project written over a few months.

Still risky, but the expected value is comparable to a stint at a salaried job IMO, once you find a decent market opportunity. Not to mention the qualitative value of self-employment, and that FAANG employment seems a tad risky these days with layoffs.
Some users want 'all the jobs'. Many other users would prefer access to job listings/postings with a bit more integrity behind the them. Submit something, get an acknowledgment, perhaps limit number of applications to reasonable numbers, etc. Many job posters don't like dealing with it either, but "that's where all the job seekers are!". No, they're really not. It's an overloaded marketplace optimized for engagement rather than good outcomes for either party.
It's where the audiences are. There's not really a way around it.
Wikimedia community ratifies Movement Charter; Wikimedia Foundation vetoes it
CRLs don't scale, that's their problem and they take too long to update.

Why isn't there a standard binary format for CRLs that is a cuckoo filter or a similar data structure? That way you don't have to worry about a CRL ballooning to gigabytes and you can expect clients to fetch the latest binary blob frequently.
I think so - I wrote my own Rust FFI bindings for SQLite extensions, and I tried to make it as fast as possible, but a "hello world" extension was still 10-15% slower in Rust than C[0].

That being said, it depends what the extension does - a "hello world" extension mainly just calls the same SQLite C APIs over and over again, so the small Rust layer makes it a bit slower. However, my Rust extensions for regex[1] and CSV parsing[2] are usually faster than the C counterparts, mostly due to less memory allocations and batching. It's not a 1:1 comparison (both extensions have slightly different APIs and features), but I'd say a lot of "real world" features available in Rust can be faster than what's available in C.

That being said, I'm sure someone could write their own faster CSV or regex extension in C that is faster than the Rust ones. But it's a ton of work to do that from scratch, and I find wrapping a pre-existing Rust implementation to be much easier

[0] https://github.com/asg017/sqlite-loadable-rs?tab=readme-ov-f...
[1] https://github.com/asg017/sqlite-regex
[2] https://github.com/asg017/sqlite-xsv
I'm surprised by the name choice, there's a large company with an almost identical name that has products that do this. May be worth changing it sooner rather than later.

https://duckduckgo.com/?q=xerox+ocr+software&t=fpas&ia=web
Twitter is how I built my entire network in the Bay Area... it was amazing at flattening hierarchies, I could talk to anyone. Then at some point the recommender system changed and people in my network never saw tweets from one another. At that point it became useless for my career.

Concurrently, LinkedIn sharing grew from nothing to awesome. I get most of my news about the latest developments in my field from LinkedIn. I get jobs by posting blog posts on LinkedIn, or summaries of interesting recent papers.
Until a new scammer runs a protection racket offering to withhold the scam accusation for a price.
2011, I bought a counterfeit Kingston card over Amazon. At the time this was not cheap

https://i.imgur.com/4XeaX.jpeg
https://i.imgur.com/FZEYA.jpeg

I tried to fill in a warranty claim when I ran into problems. No dice. I always make sure the seller is quasi official now.
Well, that was a simplistic contrived example, it may make sense to do this if you have other functionality you want to put in the wrapper. But I've seen more of these blind wrappers, the result of stuffing async and await keywords around in some misguided attempt to make things go faster, in code than is really warranted so it's not being made clear that examples like this are for explanatory purposes and shouldn't be cargo-culted (if anything should be cargo-culted).
Client Side Decorations are made effectively essential in core protocol (given that the core protocol doesn't even support existence of "windows"), server side decorations aren't, and some applications will display weirdly because of that.

More over, every "WM" in Wayland's case needs to implement the entire stack, even if it uses a common library for some of it.

And after similar length of development time, I'd say the result is still worse in many aspects than X11, and I say that as someone both using and praising a wayland-based compositor and lamenting that it pretty much locks me more than Windows used to
Does anyone know of a pytorch differentiable filter that does the same thing?
I suppose my question would be why would I use this over a normal calendar/task app that uses the iCal spec and paying for a caldav service?
I feel like there are two types of LinkedIn users: The ones who think it's good/great/useful, and then the other 96% who wish it didn't exist, but have a profile because you have to play the game. I learned from a recruiter years ago that the most valuable part of your LI profile is what you did (a short resume) and your connections number. If you connections number is over 500, that's a plus, under 500 and it's a bad thing. The quality of those connections does not matter to the people who look at that number.

So basically LI is a huge sales/marketing/MLM echo chamber with 19 out of 20 users there against their will.
We supported Llama 3.1 405B model on our distributed GPU network at Hyperbolic Labs! Come and use the API for FREE at https://app.hyperbolic.xyz/models

Let us know if you have other needs!
I think it's a more a question of "all things being equal, why would someone pay $500+ instead of choosing the free option".

You could argue for or against the technical merits of the FOSS model (security, multi vendor support, modularity, extensibility, etc.) but those are minor. Its biggest selling point is that it's free. That's why all the other paid server software of the 90s and 2000s died out too. LEMP is good enough.
We supported Llama 3.1 405B model on our distributed GPU network at Hyperbolic Labs! Come and use the API for FREE at https://app.hyperbolic.xyz/models

Would love to hear your feedback!
> (...) the spirit of markdown would favor something that actually looked like a graph without needing to run it through a renderer, something more akin to ascii art, but (...)

I completely disagree. The spirit of Markdown is to provide something that is a user-friendly, simple and easily works on most cases. The spirit of Markdown is not to bear with substandard, unreadable, and outright unfriendly documents just because ineffectiveness and lack of support for basic features is wrongly interpreted as simplicity.

Markdown supports images. Mermaid is nothing more than a way to simplify how developers can put together and maintain images without requiring specialized editors or additional software.
Here's a number of articles outlining the A16z support for Trump:

- https://www.theguardian.com/us-news/article/2024/jul/17/co-f...

- https://www.bloomberg.com/news/articles/2024-07-16/andreesse...

- https://techcrunch.com/2024/07/16/andreessen-horowitz-co-fou...

Here's a broader article on Silicon Valley support for Trump (potentially paywalled):

- https://www.ft.com/content/e2ffd807-1c18-436c-9f70-2fa7181ac...

- The FT article includes the following names: Elon Musk, Marc Andreessen, Ben Horowitz, Shervin Pishevar, Keith Rabois, Chamath Palihapitiya, David Sacks, Doug Leone, Shaun Maguire, Joe Lonsdale, Jacob Helberg

Please keep in mind that not too long ago vocal support for Trump could get you fired (and still might). Fighting against censorship is important.
The thing buried in the article is that it would depend on the drug being approved as a twice-annual vaccine regiment, and assuming that there would be at least 60 million people who participate in such a regiment.

It's currently only approved as a niche treatment, and they may be hundreds of millions of dollars in medical trials away from it being approved from such a case.
> “Back in the day, people used to sort of get around LinkedIn stuff by just dropping a link in the comments and saying, ‘Hey, check out the comments,’” Jung explains. “Problem is, LinkedIn actually parses if you're the first person to comment in your post, if you're the first person to add a link, even if you actually write, like, the website, but remove the .com and say ‘dot com,’ this algorithm is on to you. It's immediately going to take your post and downrank it.”

Is that really true? It sounds like the kind of superstition that shows up in opaque systems like LinkedIn and TikTok all the time. But maybe it IS true?

I'd love to see experimental confirmation of this, but it's hard to design transparent experiments like that without the risk of burning a valuable LinkedIn account.
Dtui – TUI for introspecting the state of the system/session dbus
In comparison with Warsaw, Dresden was barely touched. Even some of the worst hit areas had walls left standing after all.
pendo, as well
No, I've proposed removing or reducing IP protections, not transferring them to the state. Allowing competitors to enter the market will obviously increase investment in competitors...
I did this on Amazon knowing it was a scam and immediately returned it just to drive up their numbers and hopefully get them shut down faster. I have no idea if that did any good, but what disappointed me was Amazon only gave me credit, not a full refund.
The real path forward is recognizing what AI is good at and what it is bad at. Focus on making what it is good at even better and faster. Open AI will definitely give us that option but it isn't a miracle worker.

My impression is that AI if done correctly will be the new way to build APIs with large data sets and information. It can't write code unless you want to dump billions of dollars into a solution with millions of dollars of operational costs. As it stands it loses context too quickly to do advance human tasks. BUT this is where it is great at assembling data and information. You know what is great at assembling data and information? APIs.

Think of it this way if we can make it faster and it trains on a datalake for a company it could be used to return information faster than a nested micro-service architecture that is just a spiderweb of dependencies.

Because AI loses context simple API requests could actually be more efficient.
You don't need a model of this scale for personal use. Llama 3.1 8B can easily run on your laptop right now. The 70B model can run on a pair of 4090s.