MurphyA/hacker-news huggingface dataset:
by like_any_other | 2025-10-28 13:49:35+00:00
> This is 100% false. Random genetic change happens often across the billions of seeds planted every year.

Yet in all the billions of mice born every year, not one was born luminescent [1]. Peddle your lies somewhere else.

> There is a lot of value to seed companies in not having to worry about that.

Yet many companies vertically integrate, and get a competitive edge. You think soil and weather diversity is an unassailable moat?

> That is unrelated to GMO.

I explicitly explained how it is related to GMO.

> This is a competitive disadvantage. A seed company doesn't make the best seed for all situations

Can still buy from other seed companies, same as any other farmer. But they get a discount on their own seeds, unlike other farmers.

> Has nothing to do with GMO.

I explained how GMO enables it.

[1] https://news.stanford.edu/stories/2017/02/glowing-mice-sugge...
by michalsustr | 2025-10-28 13:51:02+00:00
I'm not working on game-related topics lately, I'm in the industry now (algo-trading) and also little bit out of touch.

> Has there been any meaningful progress after that?

There are attempts [0] at making the algorithms work for exponentially large beliefs (=ranges). In poker, these are constant-sized (players receive 2 cards in the beginning), which is not the case in most games. In many games you repeatedly draw cards from a deck and the number of histories/infosets grows exponentially. But nothing works well for search yet, and it is still open problem. For just policy learning without search, RNAD [2] works okayish from what I heard, but it is finicky with hyperparameters to get it to converge.

Most of the research I saw is concerned about making regret minimization more efficient, most notably Predictive Regret Matching [1]

> I was thinking about developing a 5-max poker

Oh, sounds like lot of fun!

> I don't see why a LLM can't learn to play a mixed strategy. A LLM outputs a distribution over all tokens, which is then randomly sampled from.

I tend to agree, I wrote more in another comment. It's just not something an off-the-shelf LLM would do reliably today without lots of non-trivial modifications.

[0] https://arxiv.org/abs/2106.06068

[1] https://ojs.aaai.org/index.php/AAAI/article/view/16676

[2] https://arxiv.org/abs/2206.15378
by raducu | 2025-10-28 13:51:07+00:00
> I suspect you've never done therapy yourself. Most people who have worked with a professional therapist understand intuitively why the only helpful feedback from an LLM to someone who needs professional help is: get professional help. AIs are really good at doing something to about 80%.

I'm shocked that GPT-5 or Gemini can code so well, yet if I paste a 30 line (heated) chat conversation between my wife and I it messes up about what 5% of those lines actually mean -- spectacularly so.

It's interesting to ask it it analyze the conversation in various psychotherapeutic frameworks, because I'm not well versed in those and its conclusions are interesting starting points, but it only gets it right about 30% of the time.

All LLMs that I tested are TERRIBLE for actual therapy, because I can make it change its mind in 1-2 lines by adding some extra "facts". I can make it say anything.

LLMs completely lose the plot. They might be good for someone who needs self-validation and a feeling someone is listening, but for actual skill building, they're complete shit as therapists.

I mean, most therapists are complete shit as therapists but that's besides the point.
by JustExAWS | 2025-10-28 13:51:13+00:00
If Microsoft couldn’t compete with Google in search, how could Amazon? Even if the search were better, how do you get people to switch to it if Google is the default everywhere? Besides Alexa was losing billions when it was backed by the relatively cheap to run Amazon Lex pattern matching service. It would have lost more being backed by an LLM and it actually got worse from all indications.
by mfenniak | 2025-10-28 13:51:15+00:00
The Forgejo project has been gently trying to redirect new contributors into fixing bugs before trying to jump into the project to implement big features (https://codeberg.org/forgejo/discussions/issues/337). This allows a new contributor to get into the community, get used to working with the codebase, do something of clear value... but for the project a lot of it is about establishing reputation.

Will the contributor respond to code-review feedback? Will they follow-up on work? Will they work within the code-of-conduct and learn the contributor guidelines? All great things to figure out on small bugs, rather than after the contributor has done significant feature work.
by foobarian | 2025-10-28 13:51:54+00:00
The Alexa product as it is, is already lighting money on fire. Adding LLM integration to it would just be pouring gasoline on it; iirc inference is still not profitable even in easier sectors so Alexa would be a particularly bad place for it. (Even though it would be amazing UX, but I doubt enough people would pay the price it costs to break even).
by danaris | 2025-10-28 13:53:09+00:00
> I think we’re reaching the limits of what “more” can achieve esp. at Amazon’s scale. At some point, we will run out of people to sell things to.

See, that's the problem with tying all these amazing advances in automation and labor-saving to a system beholden to capital: it only considers what can make it more profit, not what can make the world better.

I guarantee you there are many, many more things we can do with "more", at any scale, if you take the profit motive out of the equation (or even just put it second or third on the list).
by giancarlostoro | 2025-10-28 13:53:21+00:00
I always write it that way maybe for the same reason others do it, to emphasize how critical PROD is, so you don't overlook it if you just read prod, or production. If you see PRODUCTION you might slow down and go "oh crap" so it is definitely an emphasis I always add when talking about production in text. PROD is just shorter to write, but all caps makes the emphasis stick.

If you staging environment is pointing to the exact same databases PROD is, and other similar dependencies, there's no reason you can't hotswap it with PROD itself, I mean I've done something like this before.

It's much easier if your production deployment pipeline is setup for it though. You'd want to scale down drastically for staging, but in my eyes, if you're not going to have staging be as carbon copy of PROD as you humanely can have it, you might as well not have that fourth environment and just suffer when you cannot reproduce bugs. The real gem of staging is that if it would break in PROD, it would definitely break in staging. In the few companies where we had a carbon copy of PROD setup as a staging environment where key things are pulled from PROD itself, we've had way less bugs promoted to PROD when QA tests them in staging.

In theory the ROI is worth it, if you care about quality. Sadly most places do not care about quality nearly enough.
by embedding-shape | 2025-10-28 13:53:27+00:00
So then a programming language designed explicitly for coding languages would need to take human reviews into account, what is the most efficient and concise ways to express programming concepts then?

In the end, we circle back to lisps, once you're used to it, it's as easy for humans to parse as it is for machines to parse it. Shame LLMs struggle with special characters.
by ferguess_k | 2025-10-28 13:54:09+00:00
I'd say stay in the fundamentals and build things by himself. Do not rely on AI. Instead, train him to search for answers in offline materials. Help him read other people's source code instead of summarizing it using AI.

Those little exercises are still good projects IMO. Find where his passion is about (it could be making games, or making apps to help his girlfriend do X, or drilling into computer architecture), and help him to build up the ability to teach himself using material offline.

And train his patience, too. With so many free helping hands nowadays, it is very important to be patient and NOT seek out help unless one has exhausted all available venues at hand. My thumb of rule is "3-night" -- if he cannot find the answer or even make an progress for 3 nights, he needs to seek external help. But build up his tolerance towards frustration -- in pretty much all trades, programming included, tradesmen need to retain the ability to tolerate certain level towards frustration -- otherwise they would achieve nothing. Build up his tolerance towards frustration, build up his tolerance towards boredom. IMO it helps to sit with him to debug programs step by step.
by mwigdahl | 2025-10-28 13:54:29+00:00
Yeesh, that's bad. Nothing ever repeats and it looks like it makes sure to use every number in each sequence of 10 before resetting in the next section. Towards the end it starts grouping evens and odds together in big clumps as well. I wonder if it would become a repeating sequence if you carried it out far enough?
by pogue | 2025-10-28 13:55:51+00:00
If you're in the EU, you should pressure your legislators to do something about it. As I understand it, there are laws against these data breaches for companies doing business in the EU, correct?

If that is the case & the law(s) aren't being properly followed/enforced then you must speak up about it. Contact your representatives and let them know.

I understand it's easy to be complacent and be apathetic that nothing is being done, but that's how it goes in a representative democracy. At the end of the day, all we have is our voice.
by tinyhouse | 2025-10-28 13:55:59+00:00
First, Andy led AWS to what it is today.

Second, Amazon had a problem before Andy took over. Way too many managers and incompetent people in very senior levels. The fact that he's doing something about it is a good thing for Amazon. You don't become a CEO of a behemoth such as Amazon and expect to show impact within 6 months. It takes years.

In terms of AI, they did invest in Anthropic early on and are a significant stakeholder. That's critical since Anthropic is a trillion dollar company in the making and they trump everyone in enterprise AI. They are much more likely to succeed with smart partnerships than doing their own thing.
by Brajeshwar | 2025-10-28 13:56:03+00:00
Here is a typing story in my family. I teach my daughters to type (touch type). It is OK, and I know it will take time. However, they are also not bad compared to most of their friends and cousins. During the summer, they usually visit their grandparents and stay in the rather large home in a quiet, remote part of town.

They go playing on their computers late into the night, and, of course, the rapid rhythmic sound that echoes through the night has kept up the household awake.

“What have you been teaching the kids?”
by JoshTriplett | 2025-10-28 13:56:05+00:00
The entire point of this is that the jurisdictional argument is unclear. As abhorrent as Clearview's business is, businesses should only be subject to the jurisdictions they actually reside in or have employees in or otherwise have a legal nexus in. Otherwise, you end up in a world in which someone says "because citizens of country X can remotely access your website, you are subject to the laws of X", for every single X in the world.

If a country wants to control what its citizens access it can put up its own firewall and deal with the backlash from its own citizens. Let's not help move towards per-country internets.
by piltdownman | 2025-10-28 13:56:12+00:00
A markov-chain or sufficiently advanced decision tree can only serve to cargo-cult the insight into the human condition and the various contexts and lenses through which we interpret and shape our existence.

Where AI shines - and to the uninitiated, apparently subsumes - is in the fields of lexicon and grammar. However, we do not read Homer's Iliad and Odyssey as an exemplar of dactylic hexameter - we do so to engage with a structured expression of grief for the motivations of man.

Epic (Patrick Kavanagh - 1960)

I have lived in important places, times When great events were decided; who owned That half a rood of rock, a no-man’s land Surrounded by our pitchfork-armed claims.

I heard the Duffys shouting ‘Damn your soul!’ And old McCabe stripped to the waist, seen Step the plot defying blue cast-steel – ‘Here is the march along these iron stones’

That was the year of the Munich bother. Which Was more important? I inclined To lose my faith in Ballyrush and Gortin

Till Homer’s ghost came whispering to my mind. He said: I made the Iliad from such A local row. Gods make their own importance.
by jonfw | 2025-10-28 13:56:15+00:00
> the freedom to be able to choose to engorge yourself on twinkies is maybe a good thing

In isolation, freedom is wonderful. In practice, maybe not? If a member of the star trek crew abused twinkies to the extent that they were lethargic or unhealthy, it would negatively impact the mission.

There is some compromise between freedoms and social resposibility
by jongjong | 2025-10-28 13:56:44+00:00
2 months ago, after I started using Claude Code on my side project, within the space of days, I went from not allowing a single line of AI code into my codebase to almost 100% AI-written code. It basically codes in my exact style and I know ahead of time what code I expect to see so reviewing is really easy.

I cannot justify to myself writing code by hand when there is literally no difference in the output from how I would have done it myself. It might as well be reading my mind, that's what it feels like.

For me, vibe coding is essentially a 5x speed increase with no downside. I cannot believe how fast I can churn out features. All the stuff I used to type out by hand now seems impossibly boring. I just don't have the patience to hand-code anymore.

I've stuck to vanilla JavaScript because I don't have the patience to wait for the TypeScript transpiler. TS iteration speed is too slow. By the time it finishes transpiling, I can't even remember what I was trying to do. So you bet I don't have the patience to write by hand now. I really need momentum (fast iteration speed) when I code and LLMs provide that.
by AndrewKemendo | 2025-10-28 13:56:46+00:00
This org structure, if you can call it that, has to be one of the least transparent, most convoluted organizations ever

Just look at how they write it and they are somehow sneaking a NEW organizational level in there

>First, Microsoft supports the OpenAI board moving forward with formation of a public benefit corporation (PBC) and recapitalization.

Does anyone have any clue how OpenAI is actually governed and who works for who and all that?

It’s kafkaesque at best and intentionally confusing, so that you can’t actually regulate it, at worst
by alex_smart | 2025-10-28 13:56:51+00:00
> Browser memories let ChatGPT remember useful details from your web browsing to provide better responses and suggestions, while maintaining privacy and user control. Users can opt-in during setup or in Settings > Personalization > Reference browser memories.

> As you browse in Atlas, web content is summarized on our servers. We apply safety and sensitive data filters that are designed to keep out personally identifiable information (like government IDs, SSNs, bank account numbers, online credentials, account recovery content, and addresses), and private data like medical records and financial information. We block summaries altogether on certain sensitive websites (like adult sites).

So the actual content of every page you visit is sent to ChatGPT servers. That is WAY more invasive than anything Chrome does afaik.
by mossTechnician | 2025-10-28 13:57:21+00:00
If I remember correctly, Microsoft was previously promised ownership of every pre-AGI asset created by OpenAI. Now they are being promised ownership of things post-AGI as well:

Microsoft’s IP rights for both models and products are extended through 2032 and now includes models post-AGI...

To me, this suggests a further dilution of the term "AGI."
by miningape | 2025-10-28 13:57:42+00:00
Yep, if you churn out a bad change - AI or not - I'm going to be more careful with reviewing what you put out*. This is judgement, and it is a good thing - it helps us prioritise what is worth doing, and how much time should be spent on it.

If your attitude is consistently "idk the AI made it" and you refuse to review it yourself. For 1, I am insulted that you think I should pick up your slack, and 2, I'm going to judge you and everything you put out even more harshly - for my own sanity, and trying to keep debt under control.

Judgement isn't a bad thing, it's how we decide good from bad. Pretending that it is because it uniquely discriminates against bad practise only proves to me that it's worth doubling down on that judgement.

* - I won't necessarily say/do anything different, but I am more careful - and I do start to look for patterns / ways to help.
by Joel_Mckay | 2025-10-28 13:57:45+00:00
It is similar to NanoKVM-Pro, and indeed one may also install PiKVM on that commercial hardware.

Given that very distinctive "JetKVM" shape, I am now 99% sure I've seen this gadget someplace last year, If I recall the Mandarin Chinese name (difficult for me), I will post the hardware URI.

One may be surprised how much hardware includes unsigned firmware OTA updates. And someone will need to audit the stack to check if it has that common problem, and predict if it also has SoM specific Linux kernel requirements.

The Raspberry Pi foundation isn't just hardware, but comes with a proven 10 year OS lifecycle. =3
by qwertfisch | 2025-10-28 13:57:52+00:00
Quite sad to read this. In Germany paid days off are mandatory by law (four weeks per year). Most branches give additional paid days, up to two more weeks. You are required to take the statutory four weeks, usually until end of March the following year. Some employers have less restrictive rules so that you can save vacation days for up to two or three years.

Even for minimally paid jobs and/or short term jobs the same laws apply, and the vacation days will be accumulated.
by trollbridge | 2025-10-28 13:57:57+00:00
Long ago I used to maintain a door lock system. I was responsible for designing a new system to encode the room keys and it became obvious as I worked with the internals that it had a vulnerability that would allow anyone to open any lock from this vendor with the right tool.

When I quietly mentioned this, the response was that everyone knows this but we don’t talk about it.

When Mahmoud al-Mabhouh was assassinated with no signs of forced entry on his hotel room, let’s just say it wasn’t surprising. And no, I don’t think these security flaws are some conspiracy or by design - it’s simply the difficulty of updating firmware on 10 year old boards with a 20 year old design with millions of them out in the field. And they cost around $750 a piece to replace and that was back in 2010.
by mschuster91 | 2025-10-28 13:58:16+00:00
The problem is, there isn't much initial facts to base on, other than that a vehicle has plowed into a crowd. In the early 30-60 minutes, you often don't even know how many people died and how many are injured because emergency services are still working on rescue (alive people) and recovery (dead people).

Maybe it's political or religious terrorism, maybe it's suicide-by-cop, maybe it's a generic mental health issue (think schizophrenics whose head voice tells them to commit violence), maybe it's a health issue (heart attack, driver floors the gas pedal), maybe it's a streetrace gone wrong, maybe it's a DUI, maybe it's a mechanical issue (loss of brake/steering), maybe it's a geriatric driver who just doesn't have any idea where he even is, maybe it's a driver blindly following Maps and ignoring the policeman winking at him, thus not noticing he's heading right for a rally.

You see, the list of issues why a car plows into a crowd is very very long, and often it takes the police hours to determine what's going on. They gotta interview bystanders and victims, they gotta obtain and review camera footage, possibly search the driver's home and digital devices - because unlike Twitter pseudo-journalists and click/ragebait "news" media, police can normally be held accountable if they claim something in public that doesn't turn out to be true.
by jasode | 2025-10-28 13:58:26+00:00
> and then giving up things produced off that investment when the company grows?

An investor can be stubborn about retaining all rights previously negotiated and never give them up... but that absolutist position doesn't mean anything if the investment fails.

OpenAI needs many more billions to cover many more years of expected losses. Microsoft itself doesn't want to invest any more money. Additional outside investors don't want to add more billions in funding unless Microsoft was willing to give up a few rights so that OpenAI has a better competitive position against Google Gemini, Anthropic, Grok etc.

When a startup is losing money and desperately needs more capital, a new round of investors can chip away at rights the previous investor(s) had. Why would previous original investors voluntarily agree to give up any rights?!? Because their investment is at risk if the startup doesn't get a lot more money. If the original investor doesn't want to re-invest again and would rather others foot the bill, they sometimes have to be a little flexible on their rights for that to happen.
by threetonesun | 2025-10-28 13:58:52+00:00
At this point I would not be surprised if there isn't an "AI" tool that looks across employees by salary range, department earnings, seniority and age and just generates a list at a moments notice. I was around for a desperate layoff at a small company in the early 2ks and got to watch as management basically ran around the office doing this logic in real time. Some people are get pulled in because they aren't high performing or they're unliked, but most was a simple expense/income calculation.
by JohnFen | 2025-10-28 13:59:19+00:00
Suspension point elipses cause younger generations stress? I hadn't heard of this particular difference in communications style. I'm not quite a boomer, but I find this reaction odd.

In any case, I won't stop using them (or em dashes). Just as us older generations have to learn the language of the younger ones in order to understand them properly, the younger generations have to learn the language of the older ones in order to understand them properly. They're different dialects, and nobody is wrong here.