skysight-inc/HackerNews huggingface dataset:
> I was under the impression he was kind of thought of as UK's Nikola Tesla or something.

He was a brilliant self publicist. Nobody in the British computing or related digital electronics industry thought he was a second Tesla. The public at large was totally being sold that kind of line, not that Tesla's name was ever mentioned in those days by anyone. Same with Lord Sugar and amstrad.

Dyson gets similar accolades these days. Or Jony Ive.
The Librem 5 sounds great on paper, if you can get one. I don't think your odds are good. People have prepaid orders going back up to 5+ years. Search Reddit /r/purism for the horror stories of impossibly long waits, refund denials, redefinition of "preorder" and all their other BS.

Your best bet for an actual working Linux phone is a Pine Phone. But that doesn't have the same focus on security, and probably can't be as trustworthy as a standard Pixel running GrapheneOS or something. It definitely isn't as usable as one running a version of Android.
I miss the times when stuff went to Weird Stuff for fun browsing.
I am thinking cents per some small usage unit, refundable for operating per sites terms.

That convention, implemented well to distribute & decentralize spike impacts, would force any direct overuse attack to take on significant financial risk. While essentially not costing anyone else.

It might still be damaging to availability, but as a service provider I would rather get paid handsomely for periods of being too overwhelmed to service my legitimate customers than not.

The main benefit is having machine interfaces, but those kinds of attacks being heavily disincentivized.
I do not care one bit about the mario logo colors but this was a well written article
Not sure about “should” but I definitely “could” do this.
No it's just a name. Originally it's an alternative to nodejs.
please share if there is something you can show to public.
I recently switched build tools because I couldn't get rid of a ten second delay in recompiling/rerunning my back end app when I saved a file.
The costs for OpenAI and Google aren't public, but if you look at the open-source models, inference is very cheap: for example, you can generally beat the public serverless prices by a factor of ~2 by using dedicated GPUs [1], and given that a 70b model costs about $1/million tokens serverless — and tend to perform similarly on benchmarks to 4o — OpenAI is most likely getting very fat profit margins at $2.50/million input tokens and $10/million output tokens.

The problem for them is making enough money for the training runs (where it seems like their strategy is to raise money on the hope they achieve some kind of runaway self-improving effect that grants them an effective monopoly on the leading models, combined with regulatory pushes to ban their competitors) — but it seems very unlikely to me that they're losing money serving the models.

1: https://fireworks.ai/blog/why-gpus-on-demand
CogAgent: Open source alternative from China.

Paper： https://arxiv.org/abs/2312.08914

Code： https://github.com/THUDM/CogAgent

Model: https://huggingface.co/THUDM/cogagent-9b-20241220
Thanks for saying that. ♡
economics trumps morality in all cases. For morality lives in the mind, but economics is reality.

> the worker has to work a real job

And what if the reality is that he couldn't get any other job? Is it preferable that said worker goes unemployed?
Your claim that "China's the biggest emitter and doesn't care." is nonsense.

They care, they've bought more absolute effort to the issue than most countries, their future plans and projections are out there and on per capita basis they are doing better than most.

Your only line on this is that the country with the largest population has the largest energy consumption and emmissions.

And .. ?
Kent's issue IIRC was that they loosened the dependencies, full-stop. Debian presumably isn't replicating his entire testing regime when they change all the dependencies being compiled in. The potential exists for a bug to be introduced that is genuinely consequential to the user, moreso than for, say, a broken calendar app. Combine that with a rapidly changing FS and the fact that any issues would likely be blamed on his FS and I can see why he might feel that way.
CogAgent: Open-Source Alternative to OpenAI Operator Agent from China
Paper： https://arxiv.org/abs/2312.08914

Code： https://github.com/THUDM/CogAgent

Model: https://huggingface.co/THUDM/cogagent-9b-20241220
Oops! Try this one:

https://web.archive.org/web/20250123085124/https://www.newyo...
Related:

https://en.m.wikipedia.org/wiki/Time_flies_like_an_arrow%3B_...

Linked from the above:

https://en.m.wikipedia.org/wiki/Garden-path_sentence

https://en.m.wikipedia.org/wiki/Syntactic_ambiguity

https://en.m.wikipedia.org/wiki/Antanaclasis
It's just a question of ease. Where we lived in Bristol (Hotwells) we were exactly 28 minutes walk from Queen Square in the center of the city where I worked and 29 minutes in the other direction to Ashton court estate which is a deer farm and 340ha estate owner by the City of Bristol.
I don't expect ZFS to be dethroned this decade, nor the next one.
Thanks Simon. I think this might solve one of the most common questions people ask me: how do I get Perplexity-like inline citations on my LLM output?

This looks like model fine tuning rather than after the fact pseudo justification. Do you agree?
A. Legend. Thanks for having DeepSeek available so quickly in LM Studio.
Just get two smartphones. One running GrapheneOS and no Google apps for your personal stuff, and another stock Android phone strictly for things that demand a normie phone. The personal phone can be wifi-only, even a tablet.

Some people have resorted to using special cellular WiFi hotspots to run their non-cellular device. You can run your calls through something like that. The CalyxOS foundation makes a WiFi hotspot like that, but I don't have one. That may be the ideal one. Maybe something can be done with Starlink but it's not as portable.
Is XFS well-regarded by others?

I was benchmarking filesystems by generating a billion empty files on them, and while ext2, ext4, and btrfs could finish in a day or two, xfs hit a wall in the first 4 million files, and was on track to take weeks. After hitting ctrl-c, it took 20+ minutes to get a responsive shell, and unmounting took a few minutes.

This surprised me, because it's been around for decades, and I expected scalability, performance, and robustness. A one-user accidental DOS was a surprising rake to trip over.
This is something we'd like to build. It requires owning both hardware and software - you can not build this in the world of platforms with permissionless apps.
Airline booking is a solved problem. Google, Expedia, and many others have their hands on flight pricing and can show you comparisons of those in a single query. Takes 2 minutes. What is the value add of AI here? Making the experience feel like a conversation and at a hyper inflated cost and resource usage with the risk of hallucination? No thanks, solved problem.
Static Qr-Code but serve different content? If you are targeting by the camera, you can try to link the person to the time the QrCode was scanned and have each QrCode print identified.
Lifepo4 Battery Cell
It wasn't a matter of lack of vision but cold constraints of reality resulting in the person fueled plan B. If I recall correctly they (the industry) already tried flying drones and wanted to have trucks as mobile hubs. Regulation said no to it. Because of the risks of delivery drones or their packages falling from the sky. Ground drones aren’t quite there yet just like self-driving cars (plus issues with where they would be allowed to travel).
Trump Orders Declassification of JFK, RFK, and MLK Assassination Files
Click3: open source alternative for Mobile operator

Code: https://GitHub.com/BandarLabs/clickclickclick
Brandon Sanderson only wrote the last book though? (which he split in two because all the stuff Robert Jordan wanted to cram in would have been a ridiculous 2000+ page tome) so it was already going to be at least 11 books by Robert Jordan. FWIW the two Sanderson books are my favourite of the series (but they are also the ending so it's hard to say)
He sounds like a prig to me /s
Not working out contributes to testosterone decline. Also lack of vitamin D. No reason to give up now, not when old people still run marathons. Use it or lose it.
Just my 2 cents on the research:

Might be cool to see how scores changes if we weight in by game popularity. I was thinking of just whatever score generated by a gpt function, or by play data in game libraries/trackers.

On another topic, it makes me wonder how they actually decide what colors should go in the name and how much time they spend on it. Do they have the data laid out like this? Or they just wing it?

Thanks for the read, I enjoyed it
I think you wanted to write that for better part of his life Trump was licking Clinton’s balls :)
> In other words: you must already know how to do what you are asking the LLM to do.

Those that will benefit the most will be senior developers. They might not know the exact problem or language, but they should know enough to guide the LLM.

> In other words: it may make sense if typing speed is your bottleneck and you are dealing with repetitive tasks that have well been solved many times (i.e., you want an advanced autocomplete).

I definitely use a LLM as a typist and I love it. I've come to a point now where I mentally ask myself, "Will it take more time to do it myself or to explain it?" Another factor is cost, as you can rack up a bill pretty quickly with Claude Sonnet if you ask it to generate a lot of code.

But honestly, what I love about integrating LLM into my workflow is, I'm better able to capture and summarize my thought process. I've also found LLMs can better articulate my thoughts most of the time. If you know how to prompt a LLM, it almost feels like you are working with a knowledgeable colleague.

> I never actually used it myself, I only gave into a suggestion by a friend (whom LLM reportedly helps) to use his LLM wrangling skills in a thorny case.

LLMs are definitely not for everyone, but I personally cannot see myself coding without LLMs now. Just asking for variable name suggestions is pretty useful. Or describing something vague and having it properly articulate my thoughts is amazing. I think we like to believe what we do is rather unique, but I think a lot of things that we need to do have already been done. Whether it is in the training data is another thing, though.
Note the followup study, "The Micropsychiatric Applications of Thiotimoline" (1953)
https://www.asimovreviews.net/Stories/Story170.html
You can only ever really ensure the client you use wasn't tampererd with, by carefully reading all of its source code and then building it yourself. For every update.

Realistically, you will always need a minimum amount of trust, just don't misplace it.
...so then Sony is still making BluRays? I'm so confused!
The Metabolic Basis of Neurodegeneration: The Glucose Paradox Driving Decline
No blinker in the lane change scene. Come on!
A great idea and deeply necessary.
Congrats, this is amazing!
As per HN headlines, files are hard, git is hard, regex is hard, time zones are hard, money as data type is hard, hiring is hard, people is hard.

I wonder what is easy.
I spoke with an AI therapist, and it went better than expected
Show HN: An AI Summarizer That Goes Beyond TL;DR – Extract Insights
As a data insights guy, I got tired of surface-level summaries that strip away nuance. Most tools just chop text down – I wanted something that helps me understand.

So I built a summarizer that:

- Supports multiple formats (text, PDFs, images, presentations)
- Extracts core insights and logical frameworks
Generates interactive mind maps
- Completely free

The goal: Help people like me quickly spot lousy content and rapidly comprehend complex material. Not skimming – real understanding.
I'd say there are some possibilities in compression formats that are transparent to certain operations, that is compressed data you can process as is (without decompressing).

For example, look at Algorithmics on SLP-compressed strings: A survey
(https://www.degruyter.com/document/doi/10.1515/gcc-2012-0016...).
I haven't read this yet but I see one of the two authors is George R. R. Martin? That's cool! Does he normally contribute to this kind of thing? I had no idea.
The cost of what? Training a model or trained a served model? The cost of both benefit from economies of scale. If I had what openAI has I could imagine how to make it profitable tomorrow, because I could do that is why they HAVE to make it free without an account, to prevent anyone new from meaningfully entering the $0 to $20mth segment, they already know nobody can compete with the most advanced model.

If you look at their business strategy, it's top notch, anchor pricing on the 200, 20 sweet spot, probably costs them on average $5/mth to server the $20/mth customers, Take your $50m a year marketing budget and use it to buy servers, run a highly optimized "good enough" model that is basically just wikipedia in chatbot and you don't need to spend a dime on marketing if you don't want to, amazing top of funnel to the rest of your product line. I believe Sam when he says they're losing money on the $200/mth product, but it makes the $20/mth product look so good...

They're really playing business very well.
Really cool product. Great Demo video. This guy is doing it right
this was exactly what I thought of and couldn’t articulate it this briefly - particularly pattern recognition and muscle memory in physical chess. It looks crazy when you see it, but the “tricks” are rote. I play mostly 5m chess because I’m a much faster thinker than I am at depth, and a lot of it is just trained speed since I was a young kid. When you see a particular pattern 50,000 times there are people that are good at just immediately making that synapse connect in their head as to the next move, without thinking, I believe this factor is called “intuition” sometimes on accident. It’s definitely a gift to learn though that I think is often confused with deep intelligence sometimes - which explains certain chess types well too. I am often confused for the latter type when I definitely am not - I think those type of intelligences are better at specialization whereas I’m more of a generalist because I can juggle a lot of things at once. They’re both very different types of intelligence that cannot be measured by iq tests, which is why I tend to scoff at what use they are and their usability in predicting outcomes.

Trying to then take this flawed approach and apply it to AI is ludicrous and completely jumping the shark to me. You want to take a flawed measure of human intelligence that we also dont understand fully, and apply it to a machine that we also dont really understand? Ok, then miss me when I laugh at that kind of talk, it is just so silly. This is a more general rant in this broader thread and not directed at anyone spefifically.
I also once got distracted by Spirographs. We got a Spirograph kit for our kids one Christmas, so I spent some time during the holidays writing a python package to draw them. Nothing fancy, just uses python’s built-in turtle graphics.

https://pypi.org/project/spiro/
I think the arrangement from https://news.ycombinator.com/item?id=42232741 should become more popular. Focus distance is absolutely an issue, and you can probably convince yourself of that by just staring out a window or across the room for a while and comparing the eyestrain you get from that versus reading a book for an extended period of time.
It's not a solved problem though, the final cost on the website can be different based on what options you select
This tool will dump subchannel data: https://github.com/superg/redumper

Be aware that the dumps are pretty huge, and requires a compatible optical drive to work, and take a while to generate.

If you just want pure audio data, something like: https://github.com/whipper-team/whipper may be better, but also has drive restrictions.
Awesome! Could you share? I also use react native.
As pointed out: it's done, look for algorithmics over grammar-based compression. Querying and search is one of the operation that is doable on compressed data.

See Algorithmics on SLP-compressed strings: A survey (Markus Lohrey) (https://www.degruyter.com/document/doi/10.1515/gcc-2012-0016...)

Implementation-wise, you probably loose on the first goal, gain on the second and third (simpler, faster implementations), if you make the fourth one easy to implement.
Yeah, I think they fine-tuned their model to be better at the pattern where you output citations that reference exact strings from the input. Previously that's been a prompting trick, e.g. here: https://mattyyeung.github.io/deterministic-quoting
Would it be different for non-e bikes?
Is there recent news on safari supporting webtransport?
You could potentially save on glasses and LASIK. You could also potentially use the same projector to watch TV and videos.
I meant that every palindrome number with an even number of digits is divisible by 11, not that they're not prime.
Weierstrass's Monster
Kurt Vonnegut did it first.
It's important to understand what's going on here. Claude isn't providing references because it has a copy of the papers and knows their URLs.

It's instead providing references because enough of the OTHER stuff in the training data (which is entirely undocumented but we can assume includes a scrape of the web, blog posts, Reddit, other papers etc) talked about those papers in a way that provided context on the paper and enough of a title/URL that Claude could usefully return that.

By its nature then you'll only ever find references to VERY popular papers that way. That might be what you want! But you shouldn't expect Claude to be able to dig into the lesser known research around a topic based exclusively on its model weights.

For that you'd be much better off with a system like Gemini Deep Research: https://blog.google/products/gemini/google-gemini-deep-resea...
> ARM does originate from education

But all our observations are in hindsight, who could predict that ARM/RISC would be a winner in the XXI century? Apple and mobile devices drove that wave, and Intel failing miserably in the space.
Ask Anthropic. I'll be surprised if you can get a straight answer out of them though, like most other labs they are VERY secretive about what actually goes into their training data.
One hopes that, even if they're capable of doing so, these companies will explicitly forbid it. Or, at worst, that these systems are traversing the web with a proper user-agent, and captchas/sites can infer its an AI from that.

Of course, when billions are on the line, and eventually when people are off running their own, ethics get murky. Longer term, I suspect we'll see a global push toward requiring cryptographically asserted human-ness through deep integration with hardware. Cloudflare (and, I'm sure, others) has done some significant work in this domain [1].

[1] https://developers.cloudflare.com/fundamentals/reference/cry...
Touchscreen dashboards have taken over and ruined driving
You are correct. It's clearly a bug, but the impact in shipping kernels appears to be limited to "leaking" some non-sensitive data.
You’re not meant to just go to a city. It’s not like the zoo.
"X spells Y" means "X results in Y". It was used correctly.
New Tesla Model Y
It doesn't matter if the average developer has any say on how products get made. What matters is the salary that developers earn, in general, at a demographic level, is generally among the highest. And it's important that the highest-salary occupations in a society, are equally available to everyone in that society, invariant to class or race or gender or creed or anything else -- measured by outcome, not by opportunity.
Raspberry Pi Hardware and Software for Lensless Imaging
As far as I know, you should be able to take a baby from like 30,000 years ago, put them through k-12, high school, and college, and they should be indistinguishable in terms of intelligence and capability. People mostly only think of humans from “thousands of years ago” as stupid because their lack of technology means their culture and thoughts didn’t survive until today. But their brain structure couldn’t have changed much. It’s just not enough time in terms of evolution.

Aristotle was like 2,400 years ago, for context lol
There’s a polyfill
Grocery shopping is just a use case for people to wrap their heads around. Everyone has to eat.

If they demonstrated a big value add like automating CRM a smaller subset of professionals would be absolutely awed but most people would be scratching their heads wondering what it’s good for.
I'll be honest, I was surprised at how well Claude was able to describe the papers you linked to there when I prompted it directly about them. I may have to update my mental model of quite how good Claude's recall can be with respect to academic papers in those areas.
https://mrl.cs.nyu.edu/~perlin/Thiotimoline.pdf

(Pdf copy)
I'm not the only mod, just the only one who writes about it publicly.
Dan, thank you! I has been fun competing with you.

I remember the golden days :)

I've been following your journey post Optimizely! Hope your new ventures turn out to be equally fun and fulfilling.
That's the problem with oversized hobbyist projects, such as restoring steam locomotives. Jobs that should take weeks or months take years.

The Pacific Locomotive Association has had 10-year restorations.
Here's how it was done in 12 days in the heyday of British steam.[1]
Of course, the repair works had 6,000 people.

[1] https://www.youtube.com/watch?v=nZ3AN-kd66g
Capacitative screens also don't work with gloves, which a driver might be wearing in certain climates. (Are manufacturers pushing heated steering wheels to compensate?)

I know you can buy gloves variously advertised as "works with your phone", but I've never been impressed with their performance, either for interaction or as comfortable hand-covers.
stay safe, much love.
Haha, I'll ask around if they ever figured out the query parameters :)
That doesn't hold up even just in this comment thread. Higher up when I asked who pays for it the reply I got was "Not anyone". The person really didn't seem to get that " free" == publicly funded == taxpayers pay for it.
> Why would China censoring Tiananmen Square/whatever out of their LLMs be anymore harmful to the training process when the US controlled LLMs also censor certain topics, eg "how do I make meth?" or "how do I make a nuclear bomb?".

I was explaining why it is more harmful and thought you were arguing it is not harmful?
Even if you were correct, project managers are allergic to “This spaghetti code is terrible, I can rewrite it to be way better.”

Because, they hear that a lot.
Black kitchen utensil health risk revisited after scientists discover error
Previously on HN: "Cooking with black plastic is particularly crucial to avoid"

475 points, 845 comments, 42 days ago

https://news.ycombinator.com/item?id=41996156
I'm only in my 40s and I have already seen Presidents and Governors pardon people that absolutely shouldn't have been pardoned.
can unfortunatenly confirm
Penny Auction (Foreclosure)
"A penny auction is a collective action taken during the auction of a foreclosed property to force the sale of the property at a low price, with the intent of then returning the property to its previous owner. The process—usually achieved with a combination of intimidation, threats, and physical force—effectively circumvents foreclosure by forcing the lender to relinquish the property without an opportunity to recuperate the balance of the loan."
Scientific Talent Leaks Out of Funding Gaps [pdf]
Most of us think our operational security is way better than it actually is.

Unfortunately the Internet does not forget.
They really need to be banned. It's unfortunate that it's come to that, but non-physical controls are a safety nightmare.
Oracle Linux is the best local VM for MacBooks