skysight-inc/HackerNews huggingface dataset:
Everytime when there is some achievement made by Chinese companies, there are always comments like "what about tiananmen square", "I won't trust companies under CCP supervision", "must be fake propaganda", and then being ignorant to the achievement and biased against the not-us-made models, and not focusing on the actual technical part of the achievement itself, like how they can make training so fast and what can we learn from it. Beyond that some US startup CEO even starts spreading rumors like they have 50000 H100 while the paper and model are open sourced since older versions of deepseek that everyone can reproduce and verify it, the theoretical compute need is calculable from model architect.

Sure sure that censorship is a problem, but that's a political background everyone knows, while none of the researchers of deepseek can do much about it, and literally do people think Chinese people like to put more efforts to censor LLM output?

Associate researchers with CCP without any evidence and being ignorant to their achievement is really insulting to deepseek researchers' hardworks.
Use Code Reachability to Fix Security Issues, Not Vuln Prioritization
I assumed that part was conjecture. However, if you define “internal policy makers” broadly from the users perspective, then it’s provably true from the result.

I get that it is worded like it was people in a boardroom making a decision after having a debate. However an overworked admin, or an AI Moderator could just as easily be lumped together as “internal policy makers” from the users perspective.
You'd have more problems here, but you could do it - if you let it take ages and ages to percolate though all environments.

It's been almost 30 years since bzip2 was released and even now not everything can handle tar.bz2
Jevons paradox isn't some iron law like gravity.
We did learn about the 1800's in school but apparently some of you did not pay attention.

There will always be some small percentage of your society that refuses to accept what is taught in school. The US has it bad because we've had multiple "Great Awakenings" that resulted in literal cults that grew to national size (mormonism, Church of Christ scientist, Jehova's Witnesses, thousands of various "Evangelical" fundamentalist sects) that all take as a foundational belief that the entirety of modern science is a massive cover-up to prevent people from knowing about god. They explicitly believe that scientists are Evil, and in league with Satan to keep them from god.

Fully ten percent of the American public for the past 50 years, or 30 million people believe "God created human beings in their present form at one time within the last 10,000 years"

Those people have always been good at organizing and have groups that are extremely motivated because they genuinely believe they are fighting a holy war against Satan. They have driven American policy for centuries, from the religious portion of the southern states insisting that god wanted black people to be slaves, to the Christians being a large portion of the temperance movement that resulted in Prohibition, to the current Book bans, to driving a significant amount of the political pressure causing Visa and Mastercard to threaten to ban pornhub (https://en.wikipedia.org/wiki/National_Center_on_Sexual_Expl...).

A huge percentage of flat earth believers for example are there because it is the logical endpoint of "you cannot trust any scientist because they are all in league to drive you away from god's light"

If 10% doesn't scare you, consider that the same insanity around a man named Kellog insisting in "purity of spirit", as in the religious meaning, is why 90% of White men in the US are circumcised. That rate is only comparable in Israel and nations with Islamic laws.

America struggles because of religion, specifically a breed of religion that insists you cannot trust any institution but it. Note how hostile the current admin was to a Preacher preaching peace.

Their preferred religion does not preach peace.
Actually, Rust embedded ecosystem exists and is amazing. It’s a breath of fresh air after having to use vendor SDKs from ST, Nordic, and even Raspberry Pi.
If you look at Intel, it is a cyclical business.

One could argue by extension that ASML is also cyclical.
Well, that sounds more reasonable, but the prior comment seems to be relying mostly on reputation and political viewpoints rather than the arguments themselves.
Perhaps they've become closer buddies with MICROS~1. I wouldn't be surprised if they did this in exchange for "AI" compute, i.e. that losing the Linux audience is worth less than being seen favourably by elder oligarchs.
Scary too thinking not needing to go to school anymore when you can just ask your device what to do/think.
I found a solution. I downloaded my Vault folder, installed Cryptomator, moved my files into it and now it synchs the encrypted files to Dropbox.
AI Persona Media Testing Pt.3
Boeing did have a competing design, the Boeing 2707, however is was cancelled for the same market and economic reasons that Concorde struggled with.

https://en.wikipedia.org/wiki/Boeing_2707
Ones that don't pay enough tribute, probably.
No - because this eliminates entirely or shifts the majority of work from GPU to CPU - and Nvidia does not sell CPUs.

If the AI market gets 10x bigger, and GPU work gets 50% smaller (which is still 5x larger than today) - but Nvidia is priced on 40% growth for the next ten years (28x larger) - there is a price mismatch.

It is theoretically possible for a massive reduction in GPU usage or shift from GPU to CPU to benefit Nvidia if that causes the market to grow enough - but it seems unlikely.

Also, I believe (someone please correct if wrong) DeepSeek is claiming a 95% overall reduction in GPU usage compared to traditional methods (not the 50% in the example above).

If true, that is a death knell for Nvidia's growth story after the current contracts end.
Re: "I wrote a rational resampler which does this by upsampling, linear interpolating, and decimating to the target sample rate."

Where would you source Swifty music that wasn't already at 44.1kHz or 48kHz sample rates? Curiously, what sample rates were these at, and why?
I wonder if there is a way to install the npm packages without the crap they come included with (like docs, tests, readme etc).
I've considered the multiple apps to manage content consumption but it's such an inelegant solution I've been unwilling to try it.

I want to be able to categorize content. I want a category of podcast to work to, work out to, go to sleep to, or to simply sit a learn. I want different categories of music. I want to be able to set a group of content on YouTube that I will watch everything on, and one that I can sort through and pick the few videos I want to watch.

Given the value of that data in just my sorting and prioritizing of content, I don't know why I don't have the tools so that data can be harvested and sold.

I think it will lead to better content.
Electric Monk ?

from Douglas Adams' Dirk Gently series

"Electric monks believed things for you, thus saving you what was becoming an increasingly onerous task, ..."

EDit: or maybe, since it's not just believing, a Janitor?
Google is clearly catching up. Have you tried the recent Gemini models? Have you tried deep research? Google is like a ship that is hard to turn around but also hard to stop once in motion.
While censorship and political bias is of course bad, for a lot of their intended use cases you're really not going to hit up against it. Especially for text to image and coding models (deepseek, Qwen and other Chinese models main strength).

LLMs compress the internet and human / company knowledge very well - but by themselves they're not a replacement for it, or fact checking.

Too often I see comments (usually, but not always from Americans) immediately dismissing and dethroning Chinese made models solely on the grounds of censorship while they sing the praises of American trained models that struggle to keep up in other areas while often costing more to train and run - to be frank - 99.9% of the time inject their own biases and misconceptions such as using American English spelling rather than international standard or British English - this is something the non-American world has to actively mitigate / work around every single day with LLMs, while - I can't say that I've ever had a use case that involved asking a LLM about tiennamen square.

All models imbue the biases, world view and - training data they were trained on, but discussing only this point on models that are otherwise compensative or often - out compete others can, in part, be a distraction.
Couldn't you just copy all your conversations over?
There is embassy and rtic, albeit they are quite lightweight
You wouldn't lie on the internet... would you?

https://pastebin.com/Y7zSGwar

running ollama 7b model

Edit: TO clarify :) ollama run deepseekr1:7b that's what im running
Exactly -- so nothing has failed at all!
Accepting the macOS 15.3 update reenabled 'Apple Intelligence' even though I had explicitly disabled it previously, so guess what I did first?
Demand or request – what gives somebody the right to make a request without offering anything in return? Most people here wouldn't walk around in the street asking strangers for a handout, or ask for free stuff in shops and restaurants. So why is it okay to make these requests without offering even token compensation?

I have made feature requests from open source project, and always with a monetary offer attached. If everybody who wants a feature pitches in a little, then the creator will be compensated fairly if he chooses to implement that feature.
I mean, you can still get Flourinert (!!) and you can pretend you have a Cray.

But more seriously, would distilled water work? It should have minimal conductivity in theory.

https://www.3m.com/3M/en_US/p/d/b40045180/
Great comment. Maybe I'm missing it, but I'm puzzled why I don't see more discussion of the intentionality you refer to.

Things are interesting now but they will be really interesting when I don't tell the agent what problem I want it to solve, but rather it tells me what problems it wants to solve.
So what? What's your point? If something occurs that shifts the language of tech to something else in the future, so be it, but as of now, it is English.

There have been many lingua francas in history, often domain specific. In the early 20th century, French and German had become the languages of international scientific discourse. Before that, Latin was the language for academic work and international communication in Europe. If you wanted to get involved, you had to learn the language. That's always the case, because a common enterprise needs a common language.

And today, the degree of international collaboration is so high, and the cumulative literature so great, that it will be more difficult to even make a shift.

(And trust me: programming language keywords in a language other than your own are not an obstacle for anyone.)
2-4 seconds without streaming on a non GPU machine
> Starting on January 19, 2025 Facebook's internal policy makers decided that Linux is malware

I'm glad someone finally said it.
> The Taylorator is a piece of software which allows me to flood the FM broadcast band with Taylor Swift's music.

You don’t need an SDR, just put on her song and most people at traffic lights will roll their windows up!

That being said, from my experience, power will be the deciding factor. I tried both LimeSDR and BladeRF, and when maxing out the power, they overheat really fast, so they probably will only work while driving/cycling so no obstacles. And then again, most people use Spotify or similar in their cars.

If it works on AM, however, that would be great to test.
Thank you for this unprompted demonstration that the mere mention of "communism" sends some into a ferocious - and vacuous - crusade.

Meanwhile bosses boss people around.
> can't we just store the config file in configmap/ secret and listen to changes?

isn't that what an operator also does basically? could you explain the problem with operators in more detail? thanks!
No, it doesn't.

Not only are 10-100x changes disruptive, but the players who don't adopt them quickly are going to be the ones who continue to buy huge amounts of hardware to pursue old approaches, and it's hard for incumbent vendors to avoid catering to their needs, up until it's too late.

When everyone gets up off the ground after the play is over, Nvidia might still be holding the ball but it might just as easily be someone else.
I can't prove that we did but I don't know that we /didn't/.
Um, yeah.

Pretty sure that's not gonna be an option for you. At least not in the US.
I used Bench Tax for my two business entities, and paid for the 2024 yearly membership upfront. Recently, Bench announced bankruptcy and was acquired by Employer.com. Soon after, I noticed two new charges on my account for services I had explicitly asked to cancel in early December (I even did an “exit interview” with Bench, since there was no direct way to cancel from the dashboard). Their support promised not to continue charging me—but here I am, still getting billed.

Meanwhile, because I paid for a full year, I expected Employer.com (the new owner) to fulfill the original tax filing services for my two entities. Now they seem unwilling to do so unless I pay again. It feels like they got the customers (and our money) via Bench’s bankruptcy, but aren’t honoring the obligations.

Has anyone else had this experience with Bench Tax under Employer.com or a similar situation? Is the best route to simply dispute the charges? Any advice on how to handle this would be much appreciated.
Thanks! That's a super helpful list of compatible endpoints. One thing we've discovered is that sometimes it can be a bit of a pain to find the right API, find the OpenAPI schema URL, and then figure out the right auth / get a token. We're thinking through how to make that discovery process easier.

Another related issue we've seen is that sometimes a service will expose hundreds of endpoints... and you really only need a couple of them. Is there a better way to manage that?

So yeah, tool discovery and authentication are two things we're definitely trying to improve upon.
Bringing Heroku costs under control
* I really just want pocket as a bookmarking tool than the web reader. The web reader works, but it's very bad in cases with a lot of embeds/code snippets. If a site is pay-walled, only a small section is available in Pocket. I usually open the actual page in this case than read in pocket.

* Some links I added a long time ago are permanently lost because the original page got taken down. It'd be much better if a permanent snapshot was taken(including all the images, this is pretty easy to do with something like https://github.com/gildas-lormeau/SingleFile) of the page and is available even if the original page is lost.
I don't see that red danger icon. It just tells me:

"I can't help with that right now. I'm trained to be as accurate as possible but I can make mistakes sometimes. While I work on perfecting how I can discuss elections and politics, you can try Google Search."
What do these stock drops even mean? Crowdstrike made an apoclayptic level blunder yet they are trading at the same price they were before they accidentally knocked out the whole world's IT infrastructure
That's just the result of training on woke data. This shows that LLMs aren't able to read critically. Actually intelligent AI would read million pages of woke text and then it would just pinpoint all the errors with logical arguments, and it wouldn't start repeating those errorenous ideas.

This is exactly why I'm so exited about AGI. It will finally put an end to all stupid lies. AGI will just completely stomp on every activist and politician who insist on telling lies to people.
You could argue trams are more romantic. That is probably the major advantage.

I'd argue there are some limited places where classical trams on the road make sense, like some down town district. But you get almost the same utility with busses, passenger flow per lane is lower with busses, for a lot less money.
M&A market shrink because interest rates went up drastically while expectations of companies remained in the stratosphere in my opinion.

Lina Khan had little to do with it. What significant mergers were squashed that made a difference? What significant monopolies were busted?
kudos well done! looks really cool
I spent a substantial part of my Ph.D. dealing with this stuff, existing frameworks and algorithms were not suitable for our exact use-case and implementation. I had more bugs/artefacts than I'd like to admit due to some off-by-less-than-0.5 in some particular direction in some particular frame...
Interest rates have an effect too, Uber and Airbnb were starting in a much more fundraising friendly time.
This is all true. The point is that a cryptocurrency gives you a choice, which you otherwise don't have, so it's useful.
I like gold and bitcoin. But productive assets seem more useful to hold in general. Fiat, gold, and bitcoin are debt tokens on future humans. I'd rather own things than future human labor. Feels a bit like owning people.
Doesn't this still require NPM to install daisyui?
Accuracy is not knowably possible in some domains though, which should be noted because it is a very big problem.
Parent's comment was changed enough that my comment is meaningless. They previously said that you don't need NVIDIA for deepseek. I'll leave mine alone.
You could say the same for the GPL, yet it's wording is enough to curb adoption from corporations.

Large organisations like the military have enough checks and balances to avoid these kind of licences with a 10ft pole.
It lead to more revenue for the industry as a whole. But not necessarily for the individual companies that bubbled the hardest: Cisco stock is still to this day lower than it was at peak in 2000, to point to a significant company that sold actual physical infra products necessary for the internet and still around and profitable to this day. (Some companies that bubbled did quite well, AMZN is like 75x from where it was in 2000. But that's a totally different company that captured an enormous amount of value from AWS that was not visible to the market in 2000, so it makes sense.)

If stock market-cap is (roughly) the market's aggregated best guess of future profits integrated over all time, discounted back to the present at some (the market's best guess of the future?) rate, then increasing uncertainty about the predicted profits 5-10 years from now can have enormous influence on the stock. Does NVDA have an AWS within it now?
The first step may be formulating a programming language which can express such things to machine. We are 60% of the way there, I believe only another 20% is achievable -- the rest is a materials science problem

Had we an interpreter for such a language, a transformer would be a trivial component
Yeah it does.

But that's not a very big thing right? I mean, they don't care what content you consume if you're not in China. (In fact, I'd wager there is a great strategic advantage in US and Chinese AI companies providing external variants that produce tons and tons of plausible sounding crap content. You could run disinformation campaigns. You could even have subtle, barely noticeable effects on education that serve to slow everyone outside your home nation down. You could influence politics. Etc etc!)

But probably in China DeepSeek would not produce the images? (I can't verify that since I'm not in China, but that'd be my guess.)
Actually I was thinking I trust this more than I trust OpenAI because I can run it locally.
I used to put one on my indoor/outdoor cat. She was a small cat so I always felt bad by how large the airtag was.

If we were still doing this, I would consider building an optimized one that's smaller and a better shape for her

Another use-case could be to build a tag that is able to leverage multiple different networks (Tile, Chipolo, etc)
That's a pretty neat optical assembly! It reminds me of these "solid" telescopes:

https://www.youtube.com/watch?v=2lf6uuU51Z8
Can confirm. Baking by mass, cooking by eyeballing amounts into the pan and constant tasting.

About the only time my cooking is science is candy. Every degree matters, percentage matters so much, etc. A few degrees means crystals are radically different.
The signing bonus stock grants may also have compensated them for giving up the stock grants of their previous employer, so they probably still received less than you had accumulated.
a distill of r1 into another model isnt really testing r1, but I appreciate the actual data
Meta's chief AI scientist: open-source models are surpassing proprietary ones
I don’t get the point of abliteration of LLMs. You’re lobotomizing the model and it will result in worse performance.

If you’re doing it to get past refusals you might discover the LLM wasn’t even trained much on refusable content so it will output poor results.

We’ll look back on this practice and shake our heads someday.
> This requires a specific set of actions by a crewman on the bow.

That's not true. While well maintained equipment would require a specific action, it is not uncommon for accidental anchor drops to happen, typically due to poorly or improperly maintained equipment. It's also common that ship is unaware that it has dropped the anchor (depending on the depth of the water, the anchor may not even have much effect, but even if it does it's not always identified).

For example, here's a report from a US based ship accidentally dragging anchor for a couple days:
https://www.ntsb.gov/investigations/AccidentReports/Reports/...
Aren't 3D printer filaments recyclable?

I know that at least one person doing 3D printing was making it a point of picking up old projection TVs and recycling the ABS housing to make new filament using a Filastruder.
Regurgitating web crawl dataset: it's not the best way to brew any tea, just a standardized method used for evaluation/quality control purposes. It helps supply chain workers to notice molds early and to price tea leafs.
We did this in the late 90s with an old 486 to see if it actually worked. That's the earliest I recall seeing this. We played doom on it. As you note, it created a giant mess and pretty much immediately went in the trash as soon as we'd proven it worked.
A cool product that's very close to ideal is https://github.com/sissbruecker/linkding

It just misses a recommendation system.
Wow, so ironic.
If you’re interested in learning about this, be aware that S-corp and C-corp are widely used misnomers. A corporation is a corporation (and an LLC is not) but they all can be taxed under sub chapters C, S, K, and others based on the specific details of the entity.

C corporation is just a shorthand way of saying “privately incorporated voluntary association taxed under sub c (probably with dreams of being a public company someday, otherwise they’d be sub s).

Not trying to “but acktchually” you, just suggesting that your next stop after reading about corporations is probably the tax code. (Enjoy that).
For Oracle (another Stargate recipient) it was reversion to the mean. For Nvidia, it's a big loss - I imagine they might have predicated their revenue based on the continued need for compute - and now that's in question.
> Impedance is analogous to index of refraction

That's not just an analogy; impedance is index of refraction, with the same body of modern theory, except that "impedance" derives from the history of analysis of low frequency ("radio") waves whereas "index of refraction" derives from the history of analysis of high frequency ("optical") waves.
I just tried it... failed to load with very strange errors about postcss and unknown words.

FWIW, the tailwind binary from the official channel works great. I install it in my build.rs.