skysight-inc/HackerNews huggingface dataset:
> it's just nowhere near mainstream on those platforms.

That's an understatement.

> I have an SDL app up and running in Visual Studio which is written in ObjC

What's your background, though? When did you learn ObjC, and why?

> ObjC is not an Apple-created technology

I know that, but nonetheless its usage outside of Apple development is close to nil.
How many important problems are there where a 3 month head start on the data side is enough to win permanently and retain your advantage in the long run?

I'm struggling to think of a scenario where "I have AGI in January and everyone else has it in April" is life-changing. It's a win, for sure, and it's an advantage, but success in business requires sustainable growth and manageable costs.

If (random example) the bargain OpenAI strikes is "we spend every cent of our available capital to get AGI 3 months before the other guys do" they've now tapped all the resources they would need to leverage AGI and turn it into profitable, scalable businesses, while the other guys can take it slow and arrive with full pockets. I don't think their leadership is stupid enough to burn all their resources chasing AGI but it does seem like operating and training costs are an ongoing problem for them.

History is littered with first-movers who came up with something first and then failed to execute on it, only for someone else to follow up and actually turn the idea into a success. I don't see any reason to assume that the "first AGI" is going to be the only successful AGI on the market, or even a success at all. Even if you've developed an AGI that can change the world you need to keep it running so it can do that.

Consider it this way: Sam Altman & his ilk have been talking up how dangerous OpenAI's technology is. Are risk-averse businessmen and politicians going to be lining up to put their livelihood or even their lives in the hands of "dangerous technology"? Or are they going to wait 3-6 months and adopt the "safe" AGI from somebody else instead?
PowerSync does something similar I believe
> who are so tech savvy that they apparently do not require CSS

Lmao!
PKMS = personal knowledge management system
Indeed. I was the shadow of the waxwing slain/by the false azure in the windowpane...
> I’ve used 4-0125 and 4-1106 via the API and find them far superior to o1 and o1-mini at coding problems

Just chiming in to say you're not alone. This has been my experience as well. The o# line of models just don't do well at coding, regardless of what the benchmarks say.
> So you're latching onto malaria, saying they can't afford it, so it's a mercy that they die?

No, I'm not. Put it this way - the country with the lowest income per-capita on Wikipedia is Burundi with maybe $200/head [0]. If you're telling me that the country can't manage something equivalent to an effective average tax rate of 1.5% for a 100:1 ROI life saving vaccine, then the people in that country objectively have bigger problems than kids dying of malaria. Or your numbers are wrong, although I'm inclined to trust them. We're talking amounts of money so small that even Burundi can afford to make that sort of effort.

I mean good on whoever is paying for the vaccines assuming it isn't taxpayers, but they're token amounts of money. Someone on an average wage could afford to make a significant impact at these dollar ranges, MacKenzie Scott being involved is cool and all but not necessary. Most people on the globe are going to get through life without charity from her - she doesn't have enough money. Add all the billionaires together and they still don't.

[0] https://en.wikipedia.org/wiki/List_of_countries_by_GDP_(nomi...
Emails are stored in cyrus-imapd.

For now, the "file storage" product is a Node tree in mysql, with content stored in a content-addressed blob store, which is some custom crap I wrote 15 years ago that is still going strong because it's so simple there's not much to go wrong.

We do plan to eventually move the blob storage into Cyrus as well though, because then we have a single replication and backup system rather than needing separate logic to maintain the blob store.
Just build a gate around their gate.
I've been messing around with base (not instruction tuned) LLMs; they often evade AI detectors and I wouldn't be surprised if they evade this kind of detection too, at least with a high temperature
I was more thinking about solving NP hard problems. Modern CPUs are fast, if the benefit is worth it against the downstream task, just do it.
Unlinking gets done asynchronously on the weekends from Cyrus, using the `cyr_expire` tool. Right now it only runs one unlinking process at a time on the whole machine due to historical ext4 issues ... but maybe we should revisit that now we're on ZFS and NVMe. Thanks for the reminder.
nostr is the hackers microblog. Just sign things and relay them:

https://github.com/nostr-protocol/nips/blob/master/01.md

https://news.ycombinator.com/item?id=42489954
This might also work for tinnitus.
Reimagining Cybersecurity for Platform Developers
Then you write router-level firewall rules for the IPs you know are safe to fully block. You can do that selectively so you don’t break other devices.

I already do this for local DNS circumvention, which is probably a lot more common than hardcoded IPs.
Awesome! I don't use VSCode anymore, nor do I really watch tutorials, but when I was starting out as a programmer I would have loved to have something like this. Best of luck with the launch!
Yeah, we're only using ZFS replication for logs; we're using the Cyrus replication for emails because it has other sanity checks and data model consistency enforcement which is really valuable.

(And both are async. We'd need something like drbd for real synchronous replication)
If you choose to run a poorly implemented rss feed and not scale it cheaply you lose any sympathy from me.
Considering how evasive they've been, it might also be YouTube.

> When pressed on what data OpenAI used to train Sora, Murati didn’t get too specific and seemed to dodge the question. “I’m not going to go into the details of the data that was used, but it was publicly available or licensed data,” she says. Murati also says she isn’t sure whether it used videos from YouTube, Facebook, and Instagram. She only confirmed to the Journal that Sora uses content from Shutterstock, with which OpenAI has a partnership.

https://www.theverge.com/2024/3/13/24099402/openai-text-to-v...
> if a McDonald's location can sell 1000 big macs a day at $2 per burger, do you expect they'll sell more (or even as many) if they raise the price to $3?

I mean, there are other factors in employment decisions. Raising the price to $3 may reduce volume but increase revenue.
because it's not quite the same principle. i remembered it wrong.
Nostr is public key microblogging that works
> Their copyright takedown system has been around for many years and wasn't contingent on AI.

So what? It could rely on tea leaves and leprechauns, it illustrates that whatever automation works will be relied on at the expense of any human staff or process

> it 99% likely violates their terms of use, in which case there's nothing to say.

Isn't that 1% the edge cases I am specifically mentioning are important and won't get addressed?

> doesn't mean they'll be employed if customers dislike it.

The customers on ad supported internet platforms are the advertisers and they are fine with it.

> You're jumping to conclusions. That is the entire point of my response.

Conclusions based on solid reason and evidenced by past events.

> AI isn't there yet, notwithstanding, if they did a good job 98% of the time then who cares? No one.

Until you realize that 2% of 2.89billion monthly users is 57,800,000.
Exploring Prime Number Classification with Machine Learning
Anecdotally Claude is just as bad as every other LLM.

Step into more niche areas e.g. I am trying to use it with Scala macros and at least 90% of the time it is giving code that either (a) fails to compile or (b) is just complete gibberish.

And at no point ever has it said it didn't know something.
PHL to STL these days, but same design:

https://www.fastmail.com/blog/moving-house-new-datacentre/
A whole lot of pie in the sky architects, which seems to be all of Kotlin authors and all of Kotlin-writing cadets, sure love to dream that closed by default is a good design choice and think of times when something open was extended or accessed that wasn’t actually consciously fore-thought of the intended points of extension. But they conveniently ignore the costs of these shackles to their business and agility, and I argue that the costs are far greater than the benefits, especially for non-library code. We just spent a couple of decades fighting the waterfall delusion of big design up front. Yet closed-by-default takes us back to the Stone Age that ignores the reality that there’s no way that the original code authors could’ve thought of all legitimate/sensible uses ahead of time. But good engineers tend to decompose code into smaller classes and functions, which often have a pretty good chance of being extended rather safely in practice.

It is wild but such is the consequence of the culture that punishes explicit failure, and ignores failure to be able to ship fixes for the unpredicted situation and ignores failure to have a productive code base. I cry for the mounds of copy-pasted code that must result from this policy that treats its engineers code like radioactive garbage.

Exception: final parameters. They should never be assignable.
Maybe not such a great fit for sqlite:

> One of the challenges with binary fuse filters, is that they are immutable once populated, so data cannot be added incrementally, and they consume a significant amount of memory during the populate process
I think that's the whole point - that author won't begrudge you for not visiting their site. They detest HN ideologically, so losing HNer traffic won't ruin their day.
The lack of tech literacy in this article is a bit concerning:

>Some researchers take this so seriously they won’t work on planes, coffee shops or anyplace where someone could peer over their shoulder and catch a glimpse of their work.

I'm almost certain that originally this was meant to be a reference to public wifi networks, as planes and coffee shops are often the frequently cited prototypical examples. They made it literally into a matter of someone looking over their shoulder, which loses so much in translation it's almost how you would write this as a joke to illustrate someone missing the point.

>OpenAI and its brash chief executive, Sam Altman

This also strikes me as nonsense. It's the first I've ever heard of someone describing Sam Altman as brash. The only way I can see them getting there is (1) tech executives are often brash (2) Altman is a tech executive (3) let's just go ahead and call him brash.

Nevertheless if this history of GPT5 and/or o3 training is accurate, it strikes me as significant news, but perhaps a missed opportunity to say more about the pertinent dynamics that explain why the training isn't working and/or to talk in interestingly specific ways about strategies for training, synthetic data, or other such things.
well, if we are on a wb yeats kick:

I will arise and go now, and go to Innisfree,

And a small cabin build there, of clay and wattles made;

Nine bean-rows will I have there, a hive for the honey-bee,

And live alone in the bee-loud glade.

And I shall have some peace there, for peace comes dropping slow,

Dropping from the veils of the morning to where the cricket sings;

There midnight’s all a glimmer, and noon a purple glow,
And evening full of the linnet’s wings.

I will arise and go now, for always night and day

I hear lake water lapping with low sounds by the shore;

While I stand on the roadway, or on the pavements grey,

I hear it in the deep heart’s core.
Protocols have:

- No accounts
- No moderation
- No permissions
- No rules

"My nsec is my passport. Verify... me?"

I'm posting straight into the spec because it's honestly that easy to read, but there are plenty of lighter destinations.

Motivation: https://fiatjaf.com/nostr.html

Marketing: https://nostr.org/

Snowden: https://m.youtube.com/watch?v=Ybe09ImCnvk
Spot a Manipulator by the Way They Stand: New Study from McGill University
It very much depends on the project. TF has all sorts of slowness and failure modes all its own.
Part of the tradeoff there is efficiency. I like my dishwasher because it's as good at getting things clean as I am but it does it using less water and less soap, and at scale, it takes less time too. It's just a great use case for machine automation because you can do clever stuff w/a dishwasher that's hard to replicate outside of that closed environment.

I struggle to imagine a scenario where a 1-2 person household would get the same benefits from something like a laundry-folding robot. I hate folding my laundry and I still can't imagine buying one since I simply don't do laundry that often. If I really wanted to spend less time doing laundry, I could spend the cost of that laundrybot on a larger collection of clothing to wear, for that matter.

Robot vacuums are a good comparison point since vacuuming is something you (ideally) do frequently that is time and labor intensive. I do own one of those, and if it got better at dealing with obstacles thanks to "AI" I would definitely like that.
Let me just try to understand your point. Someone says "you are objectively higher risk than an autonomous car, so it's normal that your insurance makes you pay more if you drive".

To which I answer: "how objective is that, when the claim comes from the company selling the autonomous car?"

Then you tell me something that I understand as: "well, you are objectively higher risk because if you look at your record, you have made mistakes that show that your are".

And when I say "actually, I haven't", you patronize me? Is that how it works?

No. I haven't killed more people than autonomous cars have. Before you can prove that over my life as a driver, I will cause more damage than an autonomous car would have, then you don't get to say that I am objectively higher risk and therefore should pay more insurance.

Now you can try to look at studies that try to prove that. And when I ask "how objective is that?" when the study comes from those who benefit from those results, you can stop for a minute and consider that maybe, I am allowed to ask.
Me too, repeatedly. I've asked questions, reported bugs, asked for enhancements, made suggestions, submitted patches for consideration, and was always welcomed. Even when I'm asking for stuff that doesn't necessarily align with their goals.

OTOH, I've requested clarification (just some basic documentation really) on the “open contribution” fork of SQLite… and they never documented their own code.

And I'm sorry, I know sarcasm isn't the way here, and is impolite, but that was exactly the point.

Less than a week ago we had a whole thread where, again, we discussed the impossibility of improving SQLite from the outside because it's not “open contribution.”

Well, this is just a great example of much larger feature that was developed in collaboration with them.
I think this is an opinion borne out of weariness with constant promises that amazing robots are right around the corner (as they have been for 20 odd years now). For anyone who is close to the front line, I think the resounding consensus is clear - this time is different, unbelievably different, and capability development is going to accelerate dramatically.
I mean if you're getting no value out of ChatGPT I'd love to have a session seeing how you use it.
I cry for the years of lost got blame history. It sure must suck to delve into an issue in a 10M-line-code base and have all your lines be annotated with useless language conversion commits.
Hm, maybe? I guess it depends on what we mean by search; if myapp.com/search?someproduct finds that there are 0 matches then yeah that's probably a 200, but if myapp.com/products/123456 fails because no product has id 123456 then that's a textbook 404.
It doesn't even look like 4o is scaled up parameter wise from 4 and was released closer in time than either 3 or 4 were from their predecessors at a time where the scaling required for these next gen iterations has only gotten more difficult.

Critical thinking ? Lol it's just blind speculation.
Should have used chatGPT to ask for a name or at least check it
This video format is killing me. Would love to keep up with the announcement but I have no desire for 10-20 minute videos.
return "o3" in headline.lower()

would have done the job.
I have studied funeral design. One of the most inspiring funeral directors I interviewed (https://www.zenithvirago.com/) had a particular specialty for suicides. She was keen on ensuring the parents had a healthy and complete mourning process. This almost always involved insisting that they get up to speak at the funeral, to the point where she lends her body to help them stay standing through the process. At least by her own accounting, it has a profoundly positive effect on how the parents get through this grief that I can hardly imagine. It's an opportunity that doesn't return.

She teaches that when it comes to death and dying and supporting other going through the process, be present, neutral, kind, and courageous. It is hard and awkward to get up to speak. And no shame in not doing it, especially as a more distant connection. But also a lot of good can come from it as well.
Sure, Perl can be hard to maintain. (I haven't used it in over 25 years, and don't expect to ever use it again)

From your experience maintaining 40+ year old codebases, is it possible that improving the Perl codebase is the best choice in a certain situation?

Or should we always be "surprised" that Perl exists? (honest question)

In other words, I don't see the connection between "this code is hard to maintain" and "I am surprised that it exists" / "it should be rewritten".
It's reasonable to ask for sources when an opinion is phrased as a fact, as GGP did. I don't see how you got that it was _unmistakably_ an opinion from that comment.

There is no way to deduce by intuition alone that GPT-5 == GPT-4o. So either that person has some information the rest of us aren't privy to, or it's an opinion phrased as a fact. In either case, it deserves clarification.
I get that YC has hitched its wagon to this particular dead horse, but please take a moment to reflect before letting it kill HN too.
I'm sure all the people who said "show me AI progress is slowing down!" 6 months ago will be acknowledging this article.
And I suspect o3 is something like monte carlo: generates tons of CoTs, with most of them are junk, but some hit the answer.
X reinstates Magdeburg attacker’s account after silently removing pro-Musk posts
1. hoping to have a JMAP archive format at some point which should cover that. I'd hope that normally you'd be fetching a delta update rather than the whole thing. We've got enough bandwidth for a few people do to it, but I wouldn't want every customer pulling their entire archive every week of 99% the same immutable data; that would be kinda sucky.

2. yeah, I'd love that too - we're keen to integrate with everything else that people are using. We have a basic in-house IdP thing for our own staff to authenticate against our hosted services, but haven't scaled it out. This will happen eventually, though I've been burned enough times I don't want to promise a timeframe.
The “Overview of Proposed Measures” is worth a read.

They want to force Apple to let any device use AirDrop and AirPlay. No such similar requirement for Android Cast, of course.

https://digital-markets-act.ec.europa.eu/document/download/8...
What I couldn't find is inference benchmarks for consumer hardware. Just pick a reasonable workload with llama.cpp or ollama and show us some numbers.

I'm particularly interested in building a Home Assistant machine that can run the voice assistant locally (STT/TTS/LLM) while using the least amount of power / generating the least amount of heat and noise.
Like mini usenet with signatures.
Depending on the amount of write throughput you need and whether you care about latency, "concurrent writes" aren't necessarily a problem either. You can just shove them into a queue and then have a single thread pull stuff out of the queue and push it into SQLite. That still scales, up to a point.
659 8890

That one's just ordinary DTMF. I recorded the audio, trimmed it manually and then made a spectrogram like this:

sox gun1.wav -n rate 4k spectrogram -m -y 500

The 'rate' switch is to cut down on how much of the frequency space we can see. I left the audio as stereo because there's less music power on one channel, making it easier to see the tones.

(And google finds quite a few pages confirming those digits)
If you are talking about ARC benchmark, then o3-low doesn't look that special if you take into account there are plenty of finetuned models with much smaller resources achieved 40-50% results on private set (not semi-private like o3-low).
>Capitalism is not and never was the problem, the lack of regulation around it is.

Yeah, sure. You keep believing that.

>Compare how bad things are in the US for many people, directly due to a lack of regulation in many instances. Healthcare pre-Obamacare is a great example.

The regulation has done so well to reign in healthcare corporations that people are shooting healthcare ceos in cold blood on the streets and people are cheering about it.
> Now someone has to have a new idea. There's plenty of money available if someone has one.

I honestly do claim to have some ideas where I see evidence that they might work (and I do attempt to work privately on a prototype if only out of curiosity and to see whether I am right). The bad news: these ideas very likely won't be helpful for these LLM companies because they are not useful for their agenda, and follow a very different approach.

So no money for me. :-(

Let me put it this way:

Have you ever talked to a person whose intelligence is miles above yours? It can easily become very exhausting. Thus an "insanely intelligent" AI would not be of much use for most people - it would think "too different" from such people.

There do exist tasks in commerce for which an insane amount of intelligence would make a huge difference (in the sense of being positive regarding some important KPIs), but these are rare. I can imagine some applications of such (fictional) "super-intelligent" AIs in finance and companies doing some bleeding-edge scientific research - but these are niche applications (though potentially very lucrative ones).

If OpenAI, Anthropic & Co were really attempting to develop some "super-smart" AI, they were working on such very lucrative niche applications where an insane amount of intelligence would make a huge difference, and where you can assume and train the AI operator to have a "Fields-medal level" intelligence.
Another one that surprised me was the “share WiFi credentials” feature. Not too psyched about any shitty device being allowed to pup that notification up on my phone.
it is very possible, I was also scammed and lost a huge amount in crypto and I was able to get help from a gentleman I was introduced to, he helped me recover every penny I lost, you should reach out to him below for inquiry on how to go about your case. get the help you need from trustwallet900k@gmail.com .
Articles these days are probably written by ChatGPT
simply adding “i think” solves this. op was speculating with gravitas that needs sources
How do you explain this to your new boss?

Needing to explain the complexity of the task to your boss, might suggest the reasons none of the previous committers are still working at the company.

Of course it might be coincidence that you are already feeling burnt out; the company has not retained developers before you; and does not have relationships with those developers where they are available as consultants.

If you decide it probably isn’t coincidence, it might make sense to have workplace expectations consistent with such a company culture.

Sometimes a lousy job is better than looking for a job. Sometimes it’s not. Good luck.