skysight-inc/HackerNews huggingface dataset:
> seems to be working fine, people seem to care what Sam Altman says and Elon Musk is making himself deputy emperor of a nuclear weapons state.

For the billionaires and chatterers.

But even for non-chatterers, you probably should pay attention to what Altman says, not so much in a gullible take-it-at-face-value sense, but in a kremlinologist look-carefully-for-hints-about-what's-really-going-on sense.

> pretty fucking dire indictment of the rest of us and what we let the world come to.

What are the rest of us to do? Pretty much everyone has been trained by society to follow the rules above all else as a strong moral imperative, no matter how stupid or how bad the collective outcome may be. If you do otherwise, you will get smacked hard; and if you try to organize, you will all get smacked harder.
Does yt-dlp still work?

https://github.com/yt-dlp/yt-dlp
Patch now: Cisco fixes critical 9.9-rated, make-me-admin bug
Anyone who's been there -- How would you recommend getting there from Paris without a car? the closest train station I saw was 25km.
> make whole file read/writes atomic with a copy-on-write model,

I have many files that are several GB. Are you sure this is a good idea? What if my application only requires best effort?

> eliminate whole classes of filesystem bugs pretty quickly.

Block level deduplication is notoriously difficult.

> where the only kind of write allowed is to atomically append a chunk of data to the file

Which sounds good until you think about the complications involved in block oriented storage medium. You're stuck with RMW whether you think you're strictly appending or not.
What makes you think quitting would be enough?
This assumption was wrong for Intel Optane memory. Power loss could cut the data stream anywhere in the middle. (Note: the DIMM nonvolatile memory version)
honestly I think people just need to grow up. so many people get outraged and cry "this should be NSFW!" when it is literally just a naked human body. we are so prudish in our society.
Reminds me of Coral Castle in Miami-Dade, Florida, US, also built by one man.

https://en.wikipedia.org/wiki/Coral_Castle
How about to RTO instead, to have real human interactions instead? Oh i know: a severe case of tech weirdo... sure, develop in your dev mancave instead.
After further review, the e-mail was posted on a 'who's hiring' page, so to be honest its a miracle that this isn't receiving more spam!
> Which raises some important questions, the biggest being "Why bother?" After all, there's already a perfectly good Fediverse that could sure use the money and effort that Free Our Feeds is proposing to put into Bluesky.

Even a casual acquaintance with activitpub and atproto as protocols (and certainly their existing implementations) gives you the sense that we are in the early stages of what could be a major new modality for the internet.

But we are not there yet. The Fediverse is certainly not "perfectly good", nor is it clear that it could be made perfectly good with more love. And Bluesky is a twitter clone with forward looking decentralization statements.

Pushing any concrete decentralization idea and design to its limits is not just hedging / diversifying risk. There is a genuinely large space of possibilities that must be explored.

The beauty of bluesky getting traction (after mastodon did reasonably well itself with far fewer resources) is that this vague space has now two tangible data points. Two points define a line, three points a plane etc. In other words, this is a time for a Redesign of the Internet in Depth.
> There are companies that do this but its probably expensive.

Depends on the vehicle, but you should budget for $40-80k.
Python’s PEP 723 (Inline script metadata) has a section summarising why they couldn’t take this approach under “Why not infer the requirements from import statements?”

https://peps.python.org/pep-0723/#why-not-infer-the-requirem...
> Are you good at answering questions you are not trained to answer?

Yes. Most schooling is designed around this.

Pick a random math textbook. Any will do. Read a chapter. Then move to the homework problems. The typical fashion is that the first few problems are quite similar to the examples in the chapter. Often solvable by substitution and repetition. Middle problems generally require a bit of extrapolation. To connect concepts from previous chapters or courses in ways that likely were not explicitly discussed. This has many forms and frequently includes taking the abstract form to practical (i.e. a word problem). Challenge problems are those that require you to extrapolate the information into new domains. Requiring the connection of many ideas and having to filter information for what is useful and not.

> How about a middle school test in a language you don’t speak?

A language course often makes this explicitly clear. You are trained to learn the rules of the language. Conjugation is a good example. By learning the structure you can hear new words that you've never heard before and extract information about it even if not exactly. There's a reason you don't just learn vocabulary. It's also assumed that by learning vocabulary you'll naturally learn rules.

Language is a great example in general. We constantly invent new words. It really is not uncommon for someone you know to be be talking to you and in that discussion drop a word they made up on the spot or just make a sound or a gesture. An entirely novel thing yet you will likely understand. Often this is zero-shot (sometimes it might just appear to be zero-shot but actually isn't)
Yes agreed, there is indeed a rough consensus on what intelligence is and reasonable ways to approximately measure it. These standard tests have been applied to LLMs from the beginning, they have not proven to be the most helpful to guide research, but there's value to applying benchmarks that have been battle-tested with humans.

It's just that OP was questioning this group's criteria for selecting the questions that determine intelligence. Then we get into endless discussions of semantics.

At the end of the day, you are just testing which questions your AI performs well on, and you can describe how you chose those questions. Claiming it measures "general intelligence" is just unhelpful and frustrating.
There's llms.txt [0], but it's not gaining much popularity.

My web framework of choice provides these [1], but they're not easily injected into the LLM context without much fuss. It would be a game changer if more LLM tools implemented them.

[0] https://llmstxt.org/
[1] https://svelte.dev/docs/llms
Congratulations. Now tell us stories when things were hard and you almost gave up. Bet you have a lot of stories like this.
The article is about a studio device unintentionally picking up Morse code during recording. But that's not the only intersection between Mike Oldfield and Morse code. Oldfield also deliberately (and quite obviously, if you're listening for it) inserted into one of his later albums: a not-so-nice Morse code message[1] to Virgin Records founder Richard Branson, with whom he was at the time fighting over how he was being treated by the label and lack of promotion. At around the 48 minute mark of Amarok, you can hear a synthesizer loudly tap out "F U C K O F F R B" in the recording.

1: https://www.mikeoldfield.org/amarok
I’m sure if I get hurt on my bike, my medical insurance coverage will not care at all whether the injury is from riding an e-bike.

If I hit somebody else on my bike… I don’t think I have insurance for that liability? I don’t think my auto or homeowner’s insurance policy mentions me riding bikes at all, let alone an exclusion for DIY e-bikes.
> I suspect these export restrictions are less black-and-white than you imagine

Oh I agree wholeheartedly. But that also is a risk, because if its not binary its much harder to prove that you didn't know the ultimate destination.

There are direct sales to high volume customers, like meta, aws, HP, Dell et al, then there are sales to large resellers. Those will all do due diligence checks to make sure that its not going to china.

Then there is the channel which are smaller players that either buy smaller volumes (ie a few thousand) or buy from resellers. whilst nominally those companies are vetted and audited, there are lots of them, so its perfectly possible to buy from lots of channel partners and avoid suspicion
The Cathedral or the Bizarre (2022)
> Blanchard's work reigns as the clinically accepted typology for patients seeking transition.

False. The clinically accepted typology is 'Gender Dysphoria', as under the DSM-5. The only place AGP is referenced in the DSM is as a subtype of 'Transvestic Disorder' (Transvestic Disorder With Autogynephilia), which is marked explicitly as crossdressing and imagining oneself as a woman solely for sexual purposes. The two diagnoses (Gender Dysphoria and Transvestic Disorder) are distinct from one another and not related.
4o models don't have chain of thought, are you thinking of o1 perhaps?
"VVV" in Morse code means "attention, incoming message".

Cool to see amateur radio and fldigi in a Hacker News article.
No, disagreeing does not completely disable anything, as you can call Subaru at any time and tell them that you want to subscribe, and they can enable Starlink remotely.

I do not know exactly what is transmitted or stored when you do not have an active subscription, but you are one warrant away from having the police ordering Subaru to track your car. But they would probably try this with your cell provider before they try your car manufacturer.
This. Most vehicles have some fuse controlling the telematics or cellular modem. You can just disconnect that hardware from your vehicle.
If we're sharing, this is my effort at psychedelic graphics - animating a gradient over a live video feed (all done using a boring 2D canvas, because I don't have the brain capacity for shaders) over on CodePen: https://codepen.io/kaliedarik/pen/MWMQyJZ
Second on timeline scrub (move timeline position depending on x position of click on timeline) and drag and drop asset from media into timeline. Also spacebar is usually a basic universal shortcut to play/pause
Such an interesting and so minimal! Gonna check it out after work. Nice job!
Then add criteria for worker welfare, factory safety standards, relative corruption level of the host nation, and/or whatever else turns your propeller.

The point is that this kind of tool is potentially a real labor-saver for those who are trying to act responsibly within their sphere of influence.
> I'm half-expecting that I'm making some huge error in my assumptions

I imagine the physical factors like capacitance, induction, impedance etc will be the limiting factor
Every site that offers any service remotely interesting to humans will soon require a captcha to do anything.
Yeah, but TBF.. in my early teens, my "internet" consisted of a 300 baud modem hooked up to an Atari 800xl (my 2nd computer - the TI 99-4/A was "obsolete"), my "manual" was a 6502 assembly book I borrowed and typed out and a binder full of photocopied notes called "De Re Atari" that I picked up at a garage sale or something. My later teens, some of my time in was spent debugging early Watcom SQL software and working on an educational software app in FoxPro, as well as studying computer engineering (and still working on the side in FoxPro).
Not everyone share that view, and that’s OK.
The other way around appeals to me: have an AI judge a move that I made, see using

https://en.wikipedia.org/wiki/Monte_Carlo_tree_search

as an evaluation function, better yet it could critique me and help me learn to play better.
As you were popping champagne and squinting one eye while looking for your New Year’s kiss, Meta—yes, Facebook, but with a shinier name and even murkier intentions—quietly uncorked a bottle of its own: a shift with seismic implications for truth and discourse. In the waning days of 2024, the company downshifted its commitment to fact-checking, delegating oversight to the inscrutable algorithms of artificial intelligence, all under the banner of fostering “open discourse.”
> Is anyone actually getting value out of these models?

I've found incredible value in having LLMs help me write unit tests. The quality of the test code is far from perfect, but AI tooling - Claude Sonnet specifically - is good at coming up with reasonable unit test cases after I've written the code under test (sue me, TDD zealots). I probably have to fix 30% of the tests and expand the test cases, but I'd say it cuts the number if test code lines I author by more than 80%. This has decreased the friction so much, I've added Continuous Integration to small, years-old personal projects that had no tests before.

I've found lesser value with refactoring and adding code docs, but that's more of autocomplete++ using natural language rather than AST-derived code.
In the post-Karl Popper academic landscape, it's hard to beat the absurdity to explanatory-power ratio of Sigmund Freud's "penis envy", but Ray Blanchard's ravings about trans people are certainly a contender.

The "science experiments" he ran to "support" his "theories" aren't quite Philip Zimbardo levels of unethical quackery, but I'm still not sure how attaching electrodes to people's genitals and making them watch porn is a sensible way to categorise anyone, even ignoring the fudging required to make his experiments show the "correct" results.
Instead, those companies are going to promote specific subgroups and not admit it. After all, you can always claim that it's a coincidence that the only qualified people were straight white men. It's only discrimination if you write it down.
You're right, there is a peripheral sensory mechanism involved that generates a rough rendering, but the details are filled in by our brain.
If we are talking countries here, then all that you've mentioned is done by both sides. If we are talking companies then as far as I know only one of them is developing killer robots (guess which one).
Isn't this a terrible question to measure intelligence? It looks like it's testing niche domain knowledge along the lines of:

> What color is the ball hidden behind the flowerpot in my neighbor's backyard?

Maybe you can reason towards the answer if you only have a deep knowledge of bird anatomy and not Apodiformes anatomy, and that's the intelligence part?
Why does that seem more likely than file system API simply not having been a major factor in the success of failure of OSes?
> I met someone who was an early employee at King about a year after they were acquired for 5.9b - it’s a little different since he wasn’t involved with the sale, but he was still processing the insane amount of money he had

Is there a word missing in this? How did they join after acquisition and have a meaningful financial windfall? And being an early employee?
For a while I was into a trivia program on my phone. It was kind of easy, so I decided to set the language to Catalan, a language which I never studied. I was still able to do well, because I could figure out the questions more or less from languages I do know and could generalize from them. It would be interesting to know if you could say, train an LLM on examples from Romance languages but specifically exclude Catalan and see if it could do the same.
China’s EV growth: How a bet made decades ago is paying off big
No. Just what, two years ago, no one was really using LLMs to do this sort of thing? Why do we suddenly have to use these tools now?

If your job is to write software, then you're the accountant or lawyer or doctor. Otherwise, what do we even bring to the table?
45 days from now to develop a plan to release
This is pretty spot-on. A culture of testing everything will ossify code by not understanding what a "unit" is and amplifying developer churn by testing implementation details instead of the actual units. A culture of just getting features out the door will suffer under the weight of every change dragging on all future changes.

If you want to really get code that can be adapted whenever requirements change, you need to be thoughtful. Understand the code you write. Understand the code you choose not to write. Understand the code that was there before you got there. Think about the edge cases and handle them in a way that makes sense.

I'd call it "practicing writing code without bugs" rather than "writing code without bugs", though. In the end it's a practice. Is it going to be what you work towards every day, or is just an afterthought?
Yep. I've seen it used in place of 'CQ' when testing propagation conditions to avoid other stations coming back and attempting a contact. It always reminds me of the Doctor Who theme: ...- ...- ...-
Which is precisely why the point of an MVP is not to demonstrate that something can be built but that someone would pay for it once it is built. Of course it can be built, it's technologically simple. It's not minimum viable tech demo, it's minimum viable product.
This seems unreasonably pessimistic (or unreasonably optimistic in OpenAI's moat?). There are so, so many companies competing in this space. The cost will reflect the price of the hardware needed to run it: if it doesn't, they'll just lose to one of their many competitors who offer something similar for cheaper, e.g. whatever DeepSeek or Meta releases in the same space, with the cost driven to the bottom by commoditized inference companies like Together and Fireworks. And hardware cost goes down over time: even if it's unaffordable at launch, it won't be in five years.

They're not even the first movers here: Anthropic's been doing this with Claude for a few months now. They're just the first to combine it with a reasoning-style model, and I'd expect Anthropic to launch a similar model within the next few months if not sooner, especially now that there's been open-source replication of o1-style reasoning with DeepSeek R1 and the various R1-distills on top of Llama and Qwen.
> writing piece of software is an iterative process

Often, yes. Absolutely.

> you build, deploy and learn from the operation and you fix and repeat.

But no, not at all in this way. This is generally not necessary and definitely not a mindset to internalize.

Commercial software products are often iterative, especially for consumer or enterprise, because they need to guess about the market that will keep them profitable and sustainable. And this speculative character has a way of bleeding down through the whole stack, but not for the sake that "bugs happen!" -- just for the sake that requirements will likely change.

As an engineer, you should always be writing code with a absolutely minimal defect rate and well-understood capabilities. From there, if you're working an a product subject to iteration (most now, but not all), you can strive to write adaptable code that can accomodate those iterations.
Assuming equal skill distribution among subgroups, an unbiased hiring process would end up with employee demographics matching 1:1 with the demographic make of the talent pool.

What do you think is the gender split in the tech hiring pool?

What do you think is the racial split?
But if you have an AI then all that's needed to implement an api is documentation
I guess the correct way to present this is something like "I know how to fix this in the short term but we should consider simplifying things because as far as I can tell the current code is much more complex than it needs to be".
Long ago, I had a 5 character username (first-name + last initial) on a decent sized ISP's email system.

Eventually it got a ton of spam, and it was pretty clear a lot of that was from brute forcing emails at the ISP.

> This email address has only ever been used to sign up for HN. I have never posted the email address and never set it to public.

Was it something simple and guessable, like hn@yourdomain.com? or ycombinator@yourdomain.com?
The difference being you would be running that python script yourself. If you by chance hosted it somewhere there is high probability that the host would get a notice and shut you down. I honestly don't see much difference here. There will be multiple providers and perhaps great ways to run these types of tools locally, all have different risk measures.
The preview of -fbounds-safety is now accessible to the community
IQ is compute speed, not storage. It has nothing to do with knowledge. IBM used to give one out as part of their hiring process, years ago, and even I took it the entire test was a timed multiple choice exam where every question was looking at an object made out of cubes and choosing the correct orientation of the object from the choices, after the object was arbitrarily rotated according to instructions in the question.

Then, IQ can be derived by determining how quickly all participants can answer the questionnaire correctly, and ranking their speeds, and then normalizing the values so 100 is in the middle.

Turns out, scores will fall along a bell curve if you do that. You can call that phenomenon whatever, but most people call it IQ and hopefully I've explained well why that has nothing at all to do with static knowledge in this comment.
Is there a way to prevent the car from connecting to this service?
tailwindcolor.com is good for that
> Well, LLMs are also remarkably good at generalizing. Look at the datasets, they don't literally train on every conceivable type of question the user might ask, the LLM can adapt just as you can.

Proof needed.

I'm serious. We don't have the datasets. But we do know the size of the datasets. And the sizes suggest incredible amounts of information.

Take an estimate of 100 tokens ~= 75 words[0]. What is a trillion tokens? Well, that's 750bn words. There are approximately 450 words on a page[1]. So that's 1.66... bn pages! If we put that in 500 page books, that would come out to 3.33... million books!

Llama 3 has a pretraining size of 15T tokens[2] (this does not include training, so more info added later). So that comes to ~50m books. Then, keep in mind that this data is filtered and deduplicated. Even considering a high failure rate in deduplication, this an unimaginable amount of information.

[0] https://help.openai.com/en/articles/4936856-what-are-tokens-...

[1] https://wordcounter.net/words-per-page

[2] https://ai.meta.com/blog/meta-llama-3/
The very first time I rode a Jump bike in SF with the front wheel motor assist, I immediately ate shit and crashed as I crossed some railroad tracks. It turns out there are some downsides to having the motor in front, in this case the motor overwhelming the available grip caused the front tire to spin up, which removes your ability to steer, or indeed, keep your face off the tarmac.
I doubt Trump personally cares about this. He's doing it as a favor for his followers.
the more you learn about cybersecurity, the more you would want to live there
See also the theme music of the television version of 'Inspector Morse', though perhaps that's not very surprising.
As a trans woman I gave it a go. I find the interface a little confusing and unappealing but the featureset for profiles is actually what I'd be looking for.
Understand probably not, but they can read bizarrely fast and write a summary of what things do very fast ; maybe not 100% accurately but close enough to be of value when trying to understand a large bag of code fast.
This, a lot of people that don't read very deeply just assume there isn't much there and it's just a mary sue self insert story and don't really notice any of the other themes that are going on. There is a lot of good writing going on, but I suppose for the people that don't care anyway, a rough fan fiction would be good enough for them.
> Give the context of a funeral, and close to 0% would see it as a Nazi Salute.

No. Near 100% would see it as a fascist salute because it is a fascist salute.

Sometimes things are exactly as they appear to be. There's no explaining away this one.