MurphyA/hacker-news huggingface dataset:
by bigbadfeline | 2025-07-08 15:32:29+00:00
Disclaimer - I only skimmed through the linked article because I expected the selection of "values" to be biased to the point meaninglessness. Add the picture of a naked brain... can't get more cliche than that, very hard to read that kind of low quality propaganda.

In general. looking for solutions in Psychology is as dead end as it can be. Propaganda and incentives determine values and knowledge, propaganda being the prime mover, it provides the excuses for skewed incentives.

Talking about knowledge - how smart one is means little without true knowledge, which is sorely lacking in the so called "humanities". Without it, the "people with higher cognitive ability" are simply "garbage in - garbage out" generators. Well, a study of garbage can't result in anything other than garbage.
by guestbest | 2025-07-08 15:32:30+00:00
It was really fun watching the MOO and MUD and MUSH as the beginnings of the online, real time classroom and forums before the internet services and web servers really took off. All that was needed was Telnet which came with just about every computer. No browser needed. I think what killed it for growth was all the rules that needed to be read and followed before discussion could take place. IRC was much simpler
by PaulHoule | 2025-07-08 15:33:37+00:00
Generally I ask, "Why do social platforms like Bluesky still support DMs?" On any platform that has DMs you get messages from randos who say "Hey!" who, if you reply, seem to start qualifying you for a romance scam ("How old are you?")

I've been collecting "signatures of hostility" from Bluesky profiles and "No DMs" is one of the most common, common enough that my agent [1] and I don't see it as a "no follow" sign.

[1] Still unnamed since it is in pieces on the floor, it probably gets named after a Tsunako character. KUrUMi?
by hwj | 2025-07-08 15:33:47+00:00
Texas Instruments has awesome documentation. Every single MSP430 microcontroller comes with:

- a family guide describing all features of microcontroller family, usually >500 pages long

- concrete microcontroller guide describing specifics of a single microcontroller, usually >50 pages long

- errata guide describing all(?) known silicon bugs with their workarounds

Also, Clang has a backend for MSP430 by default: `clang -print-targets`
by tpmoney | 2025-07-08 15:33:53+00:00
Copyright doesn’t cover facts and methods. It specifically covers creative expressions. That’s why patents are different from copyright. If you read some woodworking books and then write your own online tutorial about building a chair using the methods and procedures described in that book, it doesn’t matter that you now compete with the books that you used, provided you didn’t copy the creative elements. How much of a chair design is creative and how much is function is an ambiguous question that might still land you in court, but it won’t be over your right to make the tutorial in the first place.

As the judge noted in this ruling, copyright isn’t intended to protect authors from competition. Copyright doesn’t protect Rowling from other authors writing YA wizard books cutting into her revenue streams. Or from TV producers making YA wizard shows that reduce the demand for books. Copyright doesn’t protect the Tolkien estate from Terry Brooks, or Tracy Hickman or Margret Weiss reducing the demand for Tolkien fantasy by supplanting it with their own fantasies.
by jfengel | 2025-07-08 15:34:17+00:00
That's kinda not surprising. Only heart disease and cancer outrank accidents as causes of death in the US. Cancer patients usually die in hospital or hospice. Heart disease can come more suddenly, and I'm sure there are quite a few heart attacks in national parks, but it doesn't surprise me that there are more accidents.

You might have a stroke while at the park, but if you're going to die of diabetes, pneumonia, or COVID, you're probably not going to do it on vacation.
by subnetsavy | 2025-07-08 15:35:09+00:00
I recently built a lightweight Kubernetes cluster at home using Raspberry Pi 4 devices, and I documented the entire setup process step by step.

This guide covers: Flashing Raspberry Pi OS and preparing the nodes Installing K3s for a lightweight Kubernetes deployment Setting up MetalLB for load balancing on a home network Using Tailscale to securely access the cluster remotely Bonus tips for monitoring and troubleshooting

It’s designed for DevOps engineers, homelab enthusiasts, or anyone curious about running production-like infrastructure on minimal hardware.

Would love feedback or ideas on how to improve it! Anyone else running Kubernetes at home?
by shkkmo | 2025-07-08 15:36:19+00:00
> So similar story as with Tesla? Existing opinion nicely confirmed.

How is that similar?

Tesla was 2 dudes and an office with no IP and no product when Musk became the lead investor and chairman of the board.

Whereas when Cofinity and X.com merged it was as two functioning companies operating in the same market.

What similarity do you see?
by msgodel | 2025-07-08 15:37:12+00:00
The only "unbiased" AI is a GPT with no alignment (and even those aren't "unbiased" they're just biased towards whatever is popular on the web which is arguably worse.)

The nice thing about Grok IMO is it forces people to confront this. A number of people seem to not notice the issue until they see an LLM that disagrees with them.
by zahlman | 2025-07-08 15:37:14+00:00
> Python has made many breaking changes after 2->3 as well.

Aside from the `async` keyword (experience with which seems like it may have driven the design of "soft keywords" for `match` etc.), what do you have in mind that's a language feature as opposed to a standard library deprecation or removal?

Yes, the bytecode changes with every minor version, but that's part of their attempts to improve performance, not a hindrance.
by spr-alex | 2025-07-08 15:37:16+00:00
i am not using it as a pejorative here, I am pretty sure that is the case for this code base, as every block has a comment describing the code that immediately follows

also i do not doubt jack's cryptography and encryption understanding, so this particular MitM flaw is almost certainly not what human steering would put together. x25519 APIs makes it both easy and simple to do identity persistence correctly, the code simply doesn't use the identity key cryptographically.
Show HN
by Trulle123 | 2025-07-08 15:37:25+00:00
I made a retro style drawing program were you can draw / write in a PETSCII style font. It has its own file format so you can share your files with others (.apage)

It is made in pure JS with no libraries or frameworks and runs with no lag on even the worse devices.

I would love your feedback! Please end bug reports to: trulle.123.contact@gmail.com

I have some big planes for this in the future so check back in a while.
by otterley | 2025-07-08 15:37:34+00:00
Not only that, but it’s inherently racy (TOCTOU); a process could allocate a huge block of memory between the time the determination to allow the controlled program to start and the time that program is able to finish initializing is made.

A better solution is to use a proper memory-reservation scheduler, not hacks like this. Kubernetes has such a thing.
by tpmoney | 2025-07-08 15:37:52+00:00
They might say that, but it doesn’t mean it has the force of law behind it. Copyright does not cover and has never covered facts. So as much as the NFL might wish you can’t tell people what the final score of the game is, or describe the events of the last minute clutch play, they can’t actually prevent you from doing that because that’s not protected by copyright.
by matths | 2025-07-08 15:38:02+00:00
I like little TIL posts like this, introducing new tools and sharing first-hand experiences with them. Working around restrictions (like using animations in Github Markdown) leads to this kind of creative stuff. I looked at the resulting SVG https://koaning.io/posts/svg-gifs/parrot.svg and realised that a lot of inline SVG elements are used within inline SVG within..the SVG. I've never seen that before. So thank you very much for sharing.
by hhmc | 2025-07-08 15:38:19+00:00
There's no competition that's running on copper -- even competitors without latency sensitivity with still be running over fibre because that's just the baseline infrastructure in datacentres, transatlantic etc.

Of course, yes, the HFT firms will be using also the standard tricks of microwave towers, shortwave radio, weather balloon etc, to beat the fibre route.
by jorl17 | 2025-07-08 15:39:04+00:00
We have a system to which I can upload a generic video, and which captures eveeeeeerything in it, from audio, to subtitles onscreen, to skewed text on a mug, to what is going on in a scene. It can reproduce it, reason about it, and produce average-quality essays about it (and good-quality essays if prompted properly), and, still, there are so many people who seem to believe that this won't revolutionize most fields?

The only vaguely plausible and credible argument I can entertain is the one about AI being too expensive or detrimental to the environment, something which I have not looked sufficiently into to know about. Other than that, we are living so far off in the future, much more than I ever imagined in my lifetime! Wherever I go I see processes which can be augmented and improved though the use of these technologies, the surface of which we've only barely scratched!

Billions are being poured trying to use LLMs and GenAI to solve problems, trying to create the appropriate tools that wrap "AI", much like we had to do with all the other fantastic technology we've developed throughout the years. The untapped potential of current-gen models (let alone next-gen) is huge. Sure, a lot of this will result in companies with overpriced, over-engineered, doom-to-fail products, but that does not mean that the technology isn't revolutionary.

From producing music, to (in my mind) being absolutely instrumental in a new generation of education or mental health, or general support for the lonely (elderly and perhaps young?), to the service industry!...the list goes on and on and on. So much of my life is better just with what little we have available now, I can't fathom what it's going to be like in 5 years!

I'm sorry I highjacked your comment, but it boggles the mind how so many people so adamantly refuse to see this, to the point that I often wonder if I've just gone insane?!
by jfengel | 2025-07-08 15:39:22+00:00
Note that in 2008, the Republican party got absolutely massacred. The Democrats won the Senate by a filibuster-proof margin. The Republicans were saved only by the death of Ted Kennedy, and even Massachusetts didn't want the Democrats to have that much control.

The Republicans came roaring back in 2010, in large part because they abandoned the positions you outlined. Those simply aren't positions Republicans hold.

Those are much closer to Democratic positions. If those are his goals, it might work better to stage a takeover of the Democratic party. Although Republicans run successfully against the most progressive elements of the Democratic party, they're actually not very influential. (That is, in large part, why they lose -- they can't keep their own progressive wing, who considers the party leadership right wing.)

Or at least, somebody other than Musk could try it. He's an extremely unreliable partner and it would be extremely difficult to convince Democrats that he's on their side.
by flohofwoe | 2025-07-08 15:40:17+00:00
> WASM on the Web: Just don't do it. It's not there yet. WASM actually has overhead compared to regular JavaScript

That's really not what I'm seeing, my WASM home computer emulators (written in plain C) run at about the same performance as their native counterparts (give or take 15%). Just don't switch between the JS and WASM side too often, and use WebGL or WebGPU for rendering (with proper batching).

...of course if you want to have a DOM-based UI framework in WASM, don't do that, but who would come up with such a stupid idea in the first place ;)
by roughly | 2025-07-08 15:40:47+00:00
> A diffusion model comes with a lot of benefits in terms of parallelization and therefore speed; to my mind the architecture is a better fit for coding than strict left to right generation.

I had a similar notion and am excited to see this research being done. My experience of writing code is that the structure of the whole system influences each individual part, which has always felt like a better match for a diffusion type model.

I’m suspecting this is a 7B model because it’s an experiment, but I do like seeing Apple playing with smaller models - I think Google’s “no moat” memo is still fundamentally correct, either via better architectures or Moore’s law, and it seems like Apple thinks the same.
by serjester | 2025-07-08 15:41:06+00:00
This article doesn't do the best job explaining the broader picture - stability has been their number one priority up to this point.

- Most of the work has just been plumbing. Int/float unboxing, smarter register allocation, free-threaded safety land in 3.15+.

- Most JIT optimizations are currently off by default or only triggers after a few thousand hits, and skips any byte-codes that look risky (profiling hooks, rare ops, etc.).

I really recommend this talk with one of the Microsoft faster Cpython developers for more details, https://www.youtube.com/watch?v=abNY_RcO-BU
by scarface_74 | 2025-07-08 15:41:14+00:00
The question is, with that can money in the bank and your expenses so low, you are already living in a position of f%%% you (https://youtu.be/XamC7-Pt8N0?si=FNQgQJSfnxlFEcK5), how were you experiencing burnout?

You close your computer after you put in 40 hours a week and go home. You try your best to communicate in trade offs between time, budget and requirements and if that doesn’t work and you get fired for refusing to be overworked, why do you care?

I’ve been working for 30 years from startups, to boring enterprise companies, to BigTech and now working as a staff consultant for a third party cloud consulting company. Never once have I experienced burn out. Not because I’m special, I’m disciplined enough to say “no”, have savings (nowhere near what you have), and I’m always prepared to get another job - yes during the dot com bust, the 2008 recession and twice since 2023.

I’m not in a position where I don’t have to work. But I am in a position where I can say no to bullshit - being overworked, mistreated, being forced to return to office, say “no” to high pressure BigTech opportunities, etc.

In your position? I would travel (well I do that a lot now including nomadding), enjoy life, work for a risky startup that will probably under pay you but you might enjoy it and worse case you can walk away, volunteer, etc
by bspammer | 2025-07-08 15:41:58+00:00
It's one of my most used utilities, as someone who can't help but nerd-snipe myself on the regular. Example questions that I've used it for, just in the last week:

If I work 42 hours/week, how many minutes is that per year?

I've downloaded 4.91GB in the last minute, what's that in Mbps? How long will it take to download a 76GB game?

This AWS feature costs $0.045/hour, how much is that per month?

This guy I read about traveled 58,000km in 27 years, what's his average speed in m/s?

How much would a 10cm sphere of gold be worth in GBP?

If a 36 inch pipeline can deliver 25580 acre-feet of water in a year, how fast is the water flowing in m/s?
by saalweachter | 2025-07-08 15:42:07+00:00
My nine-year-old seems to enjoy the Hobbit as much as The Lord of the Rings, so part of me suspects that it's just old curmudgeons like me who really dislike it.

For me, what grates are the action sequences that feel like they were written for the video game tie in -- the river escape sequence, for instance.
by spacepotato | 2025-07-08 15:42:25+00:00
If you find the output a bit hard to parse at times (as I do), you might want to try qalc instead, I use it all the time from the terminal to do conversions:

$ qalc > 3 millilightseconds to miles 3 milliLightSeconds ≈ 558 mi + 1491 yd + 0.1692913386 ft

I'm not sure if it has all the same units as `units` does, but it replaced my use of it entirely as it can do other useful operations as well
Show HN: Sumble – knowledge graph for GTM data – query tech stack, key projects
by antgoldbloom | 2025-07-08 15:42:34+00:00
I’m Anthony, co-founder/CEO of Sumble. I was previously co-founder/CEO of Kaggle. Sumble is my newco with Ben Hamner (former co-founder and CTO of Kaggle).

### What we built

Sumble is a knowledge graph for go-to-market teams. We allow you to run very rich queries to identify prospects at a granular level and be able to do very targeted outreach.

Sumble allows you to find:

- tech stacks (in larger companies, down to the team or buying group level) - key projects those teams are working on (cloud migrations, GenAI initiatives, etc.) - people involved in those key projects

For example, here's a list of GenAI projects at Capital One that involve RAG/Vector databases: https://sumble.com/l/6sDqKmhyAH

And this view includes a list of people who we think are involved in a particular project being undertaken by the AI Foundation Team at Capital One: https://sumble.com/l/j8mbRrDsly

These views allow you to reach out to that team with a granular understanding of what they are working on.

### Inspiration

Sumble was very much inspired by our experience at Kaggle:

1. Kaggle’s public-data platform showed us how hungry people are for high-quality data (the metrics on that product were really strong)

2. At Google we saw knowledge graphs unlock powerful and composable queries

### Trying it out

- The app is live today; you’ll need to log in (Google OAuth or magic links)

- Most functionality and data are free; we only charge individual users for bulk exports

### How it works (briefly)

- Sources: job posts, resume data, company websites (more to come!)

- Extraction & linking: We use LLM (mostly fine-tuned models) to extract entities out of text from sources (company → team → people on a team → projects the team is undertaking → technology the team uses)

### What’s next

- Adding more sources so you can run even more composable queries

- Opening an API so devs can hit the graph directly

- Much later: expand to use cases beyond GTM

### Feedback

- Is the web app intuitive?

- What queries do you want us to prioritize supporting in an API?

- What additional external data sources would you like us to prioritize? - What workflow improvements/integrations would you find most helpful?
by Davidzheng | 2025-07-08 15:42:52+00:00
Sorry but to say current LLMs are a "dead end" is kind of insane if you compare with the previous records at general AI before LLMs. The earlier language models would be happy to be SOTA in 5 random benchmarks (like sentiment or some types of multiple choice questions) and SOTA otherwise consisted of some AIs that could play like 50 Atari games. And out of nowhere we have AI models that can do tasks which are not in training set, pass turing tests, tell jokes, and work out of box on robots. It's literally insane level of progress and even if current techniques don't get to full human-level, it will not have been a dead end in any sense.
by fnordpiglet | 2025-07-08 15:43:02+00:00
The issue is this view doesn’t scale beyond a small organization. There are a variety of reasons many of which I already pointed out but including you can’t hire uniformly P99 leaders.

The thing Bezos did with Amazon was create a scale free organizational culture which is resilient and highly adaptable. You can’t do that by adopting processes and organizing artifacts that depend on perfect execution by everyone everywhere all the time against some ideal. You have to build processes that are resilient to inadequacy and even incompetence yet still be successful at all levels reliably. When you’re managing an organization of over a million employees with a pretty flat org structure this becomes even more important. Saying “delegate effectively” is not a resilient thing - setting up a structure that ensures delegation happens but executive leadership is aware of and involved in enterprise critical decisions is hard to do.

One way Andy Jassy does this is he requires the documents to be read in his meetings to always use a specific style including Oxford commas. If he reads the document and there aren’t Oxford commas he ends the meeting and you have to reschedule - which can take months. So, you really are certain you have made the most succinct document according to a protocol that’s very low cognitive load for him. He delegates most decisions to his team and they to theirs but at the scale of aws or Amazon, there are some decisions he is a part of. And that number is a lot because Amazon is enormous, not because he doesn’t trust his team or delegates.

But some things he doesn’t. At aws he never delegated pricing decisions. He scrutinized any pricing change in detail. If you did a good job and everyone on his team already was bought in he invariably had something incredibly insightful no one else thought of. He would send it down and his subordinates would often be empowered to approve it. But he always reviewed pricing at least once. This was less about micromanagement and more about choosing to apply his time against what he felt his org should really care about. Margin, cost, scale, and customer experience of these things.
by overfeed | 2025-07-08 15:43:09+00:00
> I think Apple will ultimately destroy the data center

I think EVs destroying Ultra Large Container ships had better odds, amd both are extremely unlikely. Dc advantages Apple won't be able to overcome: compute density, cooling, cheap power, physical security to protect the software, scale + bandwidth, lower costs to customers of using contract manufacturers and/or commodity hardware.

There is no universe where large enterprises ditch their geo-located racks. Let alone hyperscalers, especially now that they are scrounging for energy, reneging on pledges on renewables, and paying bug bucks to bring nuclear power stations online
by tpmoney | 2025-07-08 15:43:42+00:00
The “farce” of treating a corporation as a legal individual is the reason you can have this case in the first place. Otherwise the authors would have had to discover and individually sue each specific individual in the company for each specific claim. They would have to find the specific individual that downloaded their specific book and sue that person. Then they would need to find the specific individual that digitized their specific book and sue that person. Then they would need to find the specific person that loaded that digital copy into an AI model and sue that person. And on and on for each alleged act of infringement.

Or we could recognize that’s silly when we’re talking about a group of people acting in concert and treat them as a single entity for the purpose of alleged crimes. Which is what we do when we treat a corporation as an individual for legal purposes.
by jampa | 2025-07-08 15:43:46+00:00
I like Steve's content, but the ending misses the mark.

With the carriage / car situation, individual transportation is their core business, and most companies are not in the field of Artificial Intelligence.

I say this as someone who has worked for 7 years implementing AI research for production, from automated hardware testing to accessibility for nonverbals: I don't think founders need to obsess even more than they do now about implementing AI, especially in the front end.

This AI hype cycle is missing the mark by building ChatGPT-like bots and buttons with sparkles that perform single OpenAI API calls. AI applications are not a new thing, they have always been here, now they are just more accessible.

The best AI applications are beneath the surface to empower users, Jeff Bezos says that (in 2016!)[1]. You don't see AI as a chatbot in Amazon, you see it for "demand forecasting, product search ranking, product and deals recommendations, merchandising placements, fraud detection, translations."

[1]: https://www.aboutamazon.com/news/company-news/2016-letter-to...