MurphyA/hacker-news huggingface dataset:
by keiferski | 2025-11-04 09:21:42+00:00
Personally I think that kind of discussion is fruitless, not much more than entertainment.

If you’re asking big questions like “can a machine think?” Or “is an AI conscious?” without doing the work of clarifying your concepts, then you’re only going to get vague ideas, sci-fi cultural tropes, and a host of other things.

I think the output question is also interesting enough on its own, because we can talk about the pragmatic effects of ChatGPT on writing without falling into this woo trap of thinking ChatGPT is making the human capacity for expression somehow extinct. But this requires one to cut through the hype and reactionary anti-hype, which is not an easy thing to do.

That is how I myself see AI: immensely useful new tools, but in no way some kind of new entity or consciousness, at least without doing the real philosophical work to figure out what that actually means.
by denuoweb | 2025-11-04 09:22:05+00:00
If the project were hand-written rather than AI-generated yet still labeled “production-ready,” what would meaningfully change? I think most AI criticism is sloppy. Look at your post here: you spend most of your effort trying to call out his use of AI, but your ultimate issue, the one that caused you to post on HN, comes down only to the fact that the package says “production-ready.” Do you really hate AI so much that you will blame it for issues completely unrelated to AI?
by drysine | 2025-11-04 09:22:53+00:00
>Barak is an unsavoury character and Epstein was of course evil on a different level. Of course they are totally eclipsed by Assad and Putin who are many orders of magnitude more evil.

>Best of all the new order

And "the new order" is the least evil of them all?

"The former head of Syria’s al-Nusra Front had a $10m [American] bounty on his head for organising “multiple terrorist attacks throughout Syria, often targeting civilians”."[0]

"Under al-Shara'a's leadership, al-Nusra Front and Jabhat Fateh al-Sham perpetrated a series of war crimes, suicide bombings, forced conversions, ethnic cleansing and sectarian massacres against Syria's Christian, Alawite, Shia and Druze minorities."[1]

[0] https://www.theguardian.com/world/2025/sep/24/ahmed-al-shara...

[1] https://en.wikipedia.org/wiki/Ahmed_al-Sharaa#War_crimes_of_...
by zero_bias | 2025-11-04 09:23:13+00:00
Unfortunately, this characterizes the entire project: "cool" examples with no practical utility. Meanwhile, the language itself is incredibly strange (functions via patterns are an example of strange language choice), extremely slow, and very unstable.

In short, it's developing in the wrong direction.

I switched from Mathematica to Matlab in my work; it was the best investment of time in the entire project
by danhau | 2025-11-04 09:24:34+00:00
This unlocked memories I forgot I had. Not only playing these games, but Flash introduced me to gamedev. I can clearly remember struggling in Actionscript, trying to get collision detection and resolution working. I never got it to work properly lol.

By the way, if anyone wants to relive some old flash games/movies, there is https://ruffle.rs/, an open source Flash implementation. It's great!
by 9rx | 2025-11-04 09:25:37+00:00
> Jevons observed that when steam engines get more efficient and individually use less coal

And your basic supply and demand curve indicates that, at least until the supply is diminished in kind which isn't going to happen immediately given the all the constraints at play, using less coal leads to coal becoming cheaper and more readily available.

> This seems like a basic oversight

Not really. Improvements to the steam engine being why we got "cheaper and faster at producing coal" is immaterial. The added detail you've given is an interesting aside, I suppose, but doesn't change anything about the original premise. The only oversight is you not realizing this, perhaps?
by anthk | 2025-11-04 09:26:16+00:00
Accented letters are easy under GNU/Linux or OBSD under X. Just launch:

setxkbmap -us option ctrl:swapcaps -option compose:rwin

The first switch switches ctrl with caps lock (it helps your hands) and the last one maps the right Windows key (you can use menu key from laptop too with compose:menu) so you just type [ ' ] [ a ] and you'll get an á char.
by Rebuff5007 | 2025-11-04 09:27:33+00:00
Heres a definition. How impressive is the output relative to the input. And by input, I don't just mean the prompt, but all the training data itself.

Do you think someone who has only ever studied pre-calc would be able to work through a calculus book if they had sufficient time? how about a multi-variable calc book? How about grad level mathematics?

IMO intelligence and thinking is strictly about this ratio; what can you extrapolate from the smallest amount of information possible, and why? From this perspective, I dont think any of our LLMs are remotely intelligent despite what our tech leaders say.
by WalterSear | 2025-11-04 09:28:12+00:00
My point is that, if I can do it right, others can too. If someone's LLM is outputing slop, they are obviously doing something different: I'm using the same LLMs.

All the LLM hate here isn't observation, it's sour grapes. Complaining about slop and poor code quality outputs is confessing that you haven't taken the time to understand what is reasonable to ask for, aren't educating your junior engineers how to interact with LLMs.
by doomvwr | 2025-11-04 09:29:17+00:00
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by IanCal | 2025-11-04 09:29:35+00:00
I think I disagree here.

The integration parts aren’t natural language issues but connecting systems and how to put these things in your workflow.

For example. I have a bunch of off the cuff questions and problems and tasks. I want to have these in one place and have that trigger a conversation with ChatGPT, which shows the results in the first place but can be continued easily.

Before it was added the other week, I could track issues in linear and I could have codex write the code to solve them but only by manually moving text from one place to another, manually moving the tickets, checking on progress, click g buttons to open prs - all of that is integration hassle but none is about the model itself. I think now with GitHub copilot I could just assign a task.
by drnick1 | 2025-11-04 09:29:56+00:00
This isn't remotely true, it only really includes AAA "competitive" games. My solution here is to do without them; I would have probably bought BF6 had it supported Linux, but now that there are thousands of other games that work perfectly on Linux, it's a very minor loss. With Linux quickly becoming too big to ignore, sooner or later game studios will simply no longer be able to ignore that market. For now, it's only a few %, but it's growing, and still represents millions of sales. When lost revenue will exceed the cost of developing a compatible anti-cheat, Linux will be suddenly supported.
by arethuza | 2025-11-04 09:30:28+00:00
It depends on the environment - many years ago I used to have temp job in the summer working on a large industrial plant that had a nice office building where the managers and admin staff were based. There were no signs saying "temp staff keep out" - and you did occasionally have to go in there but it was pretty clear to me that you couldn't go and hang out in there - particularly as the temps got all the muckiest, smelliest jobs in all weathers.
by rubenbe | 2025-11-04 09:31:30+00:00
Thanks!

I've noticed that the 802.11k/v needs extra daemons to be configured (e.g usteer) and overall the documentation is very spotty. (for quite most "modern" features actually). You almost have to be lucky to find the correct forum post of a random person that actually figured things out. WRT 802.11r, I've noticed handovers failing in my laptops dmesg when running different patch versions of 24.10 release in my network. I'm not yet on Wifi6 so not there yet ;) If you have some more resources on that (forum post/bug that would be nice!)
by markbao | 2025-11-04 09:33:27+00:00
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by belter | 2025-11-04 09:33:46+00:00
Apparent reasoning can emerge from probabilistic systems that simply reproduce statistical order not genuine understanding.

Weather models sometimes “predict” a real pattern by chance, yet we don’t call the atmosphere intelligent.

If LLMs were truly thinking, we could enroll one at MIT and expect it to graduate, not just autocomplete its way through the syllabus or we could teach one how to drive.
by CjHuber | 2025-11-04 09:34:03+00:00
Are they? I mean I wouldn't say they are strictly deterministic, but with a temperature and topk of 0 and topp of 1 you can at least get them to be deterministic if I'm correct. In my experience if you need a higher temp than 0 in a prompt that is supposed to be within a pipeline, you need to optimize your prompt rather than introduce non determinism. Still of course that doesn't mean some inputs won't give unexpected outputs.
by Festro | 2025-11-04 09:34:10+00:00
You're moving the goalposts and contradicting yourself with language games.

Something doesn't need to learn to think. I think all the time without learning.

There's also an argument for machines already starting to crack learning with literal reinforcement training and feedback loops.

Your language game was when you said the 'cognition ends...', as cognition is just a synonym for thinking. "The thinking ends when the inference cycle ends. It's not thinking'" becomes a clear contradiction.

As for "the process by which it does that is wholly unrelated", buddy it's modelled on human neuron behaviour. That's how we've had this generative AI breakthrough. We've replicated human mental cognition as closely as we can with current technology and the output bears striking resemblance to our own generative capabilities (thoughts).

Happy to admit it's not identical, but it's damn well inside the definition of thinking, may also cover learning. It may be better to take a second look at human thinking and wonder if it's as cryptic and deep as we thought ten, twenty years ago.
by DML_Kepler | 2025-11-04 09:34:42+00:00
We recently ran into a major bottleneck in our own business. Our product team was missing deadlines, redoing work, and costing us time and money. When we dug into why, we realized a lot of teams face the same issues:

- Lack of visibility into team skills and capabilities

- Managers unsure what their teams can actually deliver

- Risks and blockers showing up too late

- Collaboration gaps going unnoticed in Slack or Jira

- Difficulty figuring out who’s best for a project or role

We had to rethink how we manage teams and projects. Some lessons we learned:

1. Visibility matters: knowing who can do what prevents wasted effort

2. Early signals are key: spotting blockers before they derail a sprint saves time and stress

3. Communication gaps hide risks: not everything shows up in Slack threads or Jira tickets

4. Matching people to the right work improves both performance and morale

5. Automating small assessments can free managers to focus on leading instead of micromanaging

Curious if other founders or managers have run into this.

How do you handle team visibility, risk management, and skills alignment in your own teams?

If it can help you, you're welcome to use what we use for free: https://keplerco.io/built-for-product-teams/
by etiron | 2025-11-04 09:35:03+00:00
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by Incipient | 2025-11-04 09:35:12+00:00
Can you share some examples of eliminating non-determinism? I feel like I should be able to integrate agents into various business systems, but this issue is a blocker.

Eg. An auto email parser that extracts an "action" - I just don't trust that the action will be accurate and precise enough to execute without rereading the email (hence defeating the purpose of the agent)
by nicois | 2025-11-04 09:35:31+00:00
This is exactly what I want when baking bread: I have a fixed sequence of steps, spaced quite far apart, and this is pretty much perfect: a series of relatively short breaks when autolysing and kneading, then waiting 10 hours overnight, then waiting 75 minutes after proofing.

I'm not sure how well this will work on a mobile; the service worker might be stopped after a few hours, particularly with the screen off overnight
by popalchemist | 2025-11-04 09:36:25+00:00
without getting into theory of mind it's a bit difficult to elaborate, and I don't have the time or the will for that. But the short version is that thinking is interconnected with BEING as well as will, and the Agent has neither, in a philosophically formal sense. The agent is deterministically bound. So it is a fancy Rube Goldberg machine that outputs letters in a way that creates the impression of thought, but it is not thought, in the same way that some birds can mimic human speech without even the slightest hint as to the words' or sentences' meaning, underlying grammar, connotations, subtext, context, intended use, likely effect, etc. Is speech speech if the speaker has no concept whatsoever of said speech's content, and can not use it to actualize itself? I'd say no. It's mimicry, but not speech. So that means speech is something more than just its outward aspect - the words. It is the relation of something invisible, some inner experience known only to the speaker, VIA the words.

Whereas a gorilla who learns sign language to communicate and use that communication to achieve aims which have direct correlation with its sense of self - that's thought in the Cogito, Ergo Sum sense of the word.

Thought as commonly concieved by the layman is a sort of isolated phenomenon that is mechanical in nature and can be judged by its outward effects; whereas in the philosophical tradition defining thought is known to be one of the hard questions for its mysterious qualia of being interconnected with will and being as described above.

Guess I gave you the long answer. (though, really, it could be much longer than this.) The Turing Test touches on this distinction between the appearance of thought and actual thought.

The question goes all the way down to metaphysics; some (such as myself) would say that one must be able to define awareness (what some call consciousness - though I think that term is too loaded) before you can define thought. In fact that is at the heart of the western philosophical tradition; and the jury consensus remains elusive after all these thousands of years.
by IanCal | 2025-11-04 09:36:44+00:00
There are two sides to workflow integration.

One is technical (it’s a hassle to connect things to a specific system because you’d need to deal with the api or there is no api)

The other isn’t, because it’s figuring out how and where to use these new tools in an existing workflow. Maybe you could design something from scratch but you have lots of business processes right now, how do you smoothly modify that? Where does it make sense?

Frankly understanding what the systems can and can’t do takes at least some time even if only because the field is moving so fast (I worked with a small local firm who I was able to help by showing them the dramatic improvements in transcription quality vs cost recently - people here are more used to whisper and the like but it’s not as common knowledge how and where you can use these things).
by jeroenhd | 2025-11-04 09:36:52+00:00
It depends on where you're going and what you're doing.

A lot of this faff isn't relevant if you're not applying for any visas or citizenship. Which is most people, most of the time.

The obvious solution to most of these problems for most people is "don't cut it close to any of the limits". If you enjoy traveling a lot, that's definitely a problem, but most people don't cross borders often enough to run into this many corner cases.

This is only a small peek into the awful bureaucracy that will hit Europe if extreme right wing parties keep gaining popularity across the EU. The extra calculations Brexit imposes, but not for every country you travel through!
by _flux | 2025-11-04 09:37:18+00:00
The article mentions that global type inference is painful, and Rust made the right call by requiring annotations, but actually I think the OCaml model is closer to the optimum: you can still annotate functions and perhaps you should (in fact the interface files are in my view great, but not everyone enjoys them), but the key benefit is that you can also use holes in such definitions, e.g.

_ option list

is usually quite descriptive of what data you have, but still doesn't go into some detail you don't want to (sadly "int _ list" isn't supported by the type system). The types in Rust can sometimes get quite long, in particular if you want to avoid boxing and you're dealing with futures.
by krisoft | 2025-11-04 09:37:57+00:00
> So I'm not sure why it is so rare for me to dream, but I suspect low glucose or oxygen may have something to do with it.

You might be having those but “not having dreams” is not an indication of that. And i put the “not having dreams” in quotes because for most people they have dreams but then go on to forget them.

If you are having other symptomps by all means get it checked out. But if your only symptom is not remembering dreams i wouldn’t worry about that.
by advikipedia | 2025-11-04 09:38:12+00:00
More than the "actual" problem, the "perception" of the problem is worse. Workflow integration is more to do with users having to rethink their workflows, their roles, and how they work with AI. As for data privacy concerns, even where startups have taken measures to overcome the problems, very often enterprises still remain concerned (making this more of a perception problem than an actual problem). That's why I focused on the non-technical aspect of it!
by tmhn2 | 2025-11-04 09:38:16+00:00
Research mathematicians have been finding the tools useful [1][2]. I think those problems are interesting, novel, and hard. The AI might stumble sometimes, but it also produces meaningful, quality results sometimes. For experts working on interesting problems, that is enough to be useful.

[1] https://mathstodon.xyz/@tao/115420236285085121 [2] https://xcancel.com/wtgowers/status/1984340182351634571
by adrian_b | 2025-11-04 09:38:23+00:00
I would like to see some evidence that this is a public health issue.

This means that I want to see statistics with how many British men have strangled their wives/companions/casual encounters, and what percentage of them have previously watched porn featuring choking (and some plausible argumentation that those have strangled their victims because of watching porn and they did not choose to watch such rather unusual porn because they already intended to choke someone).

Without any concrete numbers any such justification is pure BS.

I have watched a lot of porn, but I do not remember ever seeing anything with choking, so I assume that this is a rather niche interest.

Even if this is a restriction that would not affect me directly, I am extremely concerned about this proliferation of laws that punish "crimes of thought", where someone is punished for possession of some kind of information, despite the fact that there exists absolutely no evidence of doing or attempting to do any kind of act against others that would really deserve punishment.

In my opinion, only those who write or vote such laws are criminals who deserve punishment, because only for them it is known with certainty that they have caused harm to other human beings, while against those punished by their laws there exists no evidence of causing harm to others.
by throwaway665667 | 2025-11-04 09:38:49+00:00
Witch hunts were capital punishment inflicted on pagan worshipers, not human sacrifices, and they were several tens of thousands in the span of three centuries.

Executions in Spain, Portugal, and Italy combined are estimated to have been 1000 in total. [1]

[1] https://en.wikipedia.org/wiki/Witch_hunt#Execution_statistic...
by Someone | 2025-11-04 09:39:35+00:00
SaaS = “Software as a Service”, not “Software as a Subscription”.

I think it’s when the developer keeps providing a service.

Think of

- being given a vacuum cleaner - buying a vacuum cleaner - renting a leasing a vacuum cleaner - paying someone to periodically vacuum your house

Only the last, for me, is “as a service”. An app that runs 100% on your system that doesn’t require the app developer to do something specially for you, for me falls under one of the other three (freeware, buying, subscription)

But yes, I agree the OP doesn’t seem to be doing SaaS, either, given that they say the one-time payment covers all expenses (that cannot be true if they are having costs after the sale and that payment is for all time)