MurphyA/hacker-news huggingface dataset:
by Lawliepop | 2025-07-15 14:34:52+00:00
It’s unlikely new meds will be approved this year (unless the FDA really does speed up approval processes) I made a tool to compare prices: https://www.glpwinner.com/ If you’re on name brand without insurance coverage you’re sitting around $499 a month. On compounded you can get between $150-300 a month. If you live somewhere expensive like the bay and eat out a lot you are likely saving money by being on the medication.
by codegeek | 2025-07-15 14:34:58+00:00
"since when does that matter in software related work."

It matters for people like OP who are already at a disadvantage. Yes this may not matter to many who are privileged to have a great job and do great work and their employer may not care. But when you are asking to be hired by another company and they don't know how great you are, you need to be presentable in a professional setting.

Overall, we need to stop normalizing being too casual in professional setting. Yes, even as Software Engineers. If all things are equal, I will always pick someone who cares about looking professional for work than not.
by oefrha | 2025-07-15 14:35:13+00:00
Not in my case. I only give Terminal and iTerm “Developer Tools” permission. Cursor shows up under “Full Disk Access” with a toggle so it may have requested the permission at some point, but I have it on disable; I don’t see why it needs to reach out of directories I actively open. (And VSCode which I used for years doesn’t even show up there.)

Disclaimer: I’m not sure whether Cursor inherits iTerm’s permissions when launched from CLI. The TCC system is pretty mysterious to me in general.
by lelanthran | 2025-07-15 14:35:32+00:00
> Can you explain this in more detail?

Not sure what GP meant specifically, but to me, if $200/m gets you a decent programmer, then $200/m is the new going rate for a programmer.

Sure, now it's all fun and games as the market hasn't adjusted yet, but if it really is true that for $200/m you can 10x your revenue, it's still only going to be true until the market adjusts!

> The competent people do get a productivity boost though.

And they are not likely to remain competent if they are all doing 80% review, 15% prompting and 5% coding. If they keep the ratios at, for example, 25% review, 5% prompting and the rest coding, then sure, they'll remain productive.

OTOH, the pipeline for juniors now seems to be irrevocably broken: the only way forward is to improve the LLM coding capabilities to the point that, when the current crop of knowledgeable people have retired, programmers are not required.

Otherwise, when the current crop of coders who have the experience retires, there'll be no experience in the pipeline to take their place.

If the new norm is "$200/m gets you a programmer", then that is exactly the labour rate for programming: $200/m. These were previously (at least) $5k/m jobs. They are now $200/m jobs.
by 1970-01-01 | 2025-07-15 14:35:51+00:00
That's positivity hubris. LLMs are as dangerous as they are helpful to society. An AI bottle will be manufactured and then taxed. Society will end up banning it for general use. Just as you can't build and carry a firearm, drive a car, fly an airplane, sell food, or even be prescribed medicine without a license, you will not be able to enjoy unlimited AI without a yearly 'license to LLM' and the appropriate and correct tax forms.
by alistairSH | 2025-07-15 14:35:52+00:00
And where the heck can you get a movie ticket for $11? A discount matinee viewing at my local theaters is from $17 to $20. $20-$23 if you go in the evening. The lowest price ticket, a Tuesday noon showing, is $12.

I don't recall the last time I went to the movies with my wife and spent less than $60 (tickets, a shared soda, two snacks).
by gilbetron | 2025-07-15 14:36:40+00:00
Anime is the US is about a $2.5B industry, whereas just movies and just box office revenue in the US is about a three times that at around $7.5B. Anime is doing great here and growing fast, but I think you are in a bit of a bubble as far as anime. It tends to be a "bubbly" subculture, so not surprising.
by mcherm | 2025-07-15 14:37:14+00:00
A better-faith response would be to point out an example of such an open source codebase OR tell why that specific set of restrictions (open-source, active production, primarily AI) is unrealistic.

For instance, one might point out that the tools for really GOOD AI code authoring have only been available for about 6 months so it is unreasonable to expect that a new project built primarily using such tools has already reached the level of maturity to be relied on in production.
by tzs | 2025-07-15 14:37:15+00:00
That SO₂ breaks down so quickly is one of the reasons SO₂ injection is probably not a good idea.

Suppose we start putting enough SO₂ in the stratosphere to halt warming or at least slow its growth down.

I can almost guarantee that the response of the current US government would not be "Whew...now that we've averted the near term problems we were facing from climate change we can get to work on seriously getting rid of most fossil fuels use".

No, it would be "Great! We can now get rid of those cancer causing wind farms and ugly solar farms and go all in on a 100% fossil fuel economy featuring a massive increase in coal. We should have been doing that all along but enough people believed in the global warming hoax to slow us down. Now we are free of that!".

We'd need ongoing increasing SO₂ injections to counter this, and all it would take is something to disrupt that for a few years and then all that increasing warming that has held back by those injections would come roaring back. But we'd be getting that warming increase over a short term instead of a longer term, making it much harder to deal with.
by JianYangbachman | 2025-07-15 14:37:15+00:00
We built mcpresso, a TypeScript library that turns your Zod-typed functions into an MCP-compliant server — ready to be called by agents like Claude, ChatGPT, or your own tools.

It focuses on:

- Type safety (Zod + TS)

- Minimal boilerplate

- Fast setup with createResource() and createServer()

You can easily add:

- Auth (OAuth, API key, etc.)

- Rate limiting, retries

- SSE for agent-side logs

- Metadata, categories, introspection

It’s designed to make your functions structured, discoverable, and callable — with clean developer ergonomics.

GitHub: github.com/granular-software/mcpresso

We’re actively using it and improving based on real-world use cases. Feedback and contributions very welcome.
by codegeek | 2025-07-15 14:37:29+00:00
"I don’t want to be invited by companies which prioritize appearances over merit"

Easy to say when you may be employed and have a good job. Tell that to OP who is looking for every possible way to get an interview with an employer.

Appearances absolutely matter in a professional setting and even though it should not be the 1st criteria to select someone, it is important.
by sltr | 2025-07-15 14:37:35+00:00
A couple of months ago I put forth Naur's program theory as an argument why LLM's can't replace human developers:

> LLMs as they currently exist cannot master a theory, design, or mental construct because they don't remember beyond their context window. Only humans can can gain and retain program theory.

https://news.ycombinator.com/item?id=44114631
by ViewTrick1002 | 2025-07-15 14:37:38+00:00
> But if my car needs to be charged sometime from 8PM to 6AM

If your car truly needs to be charged too 100% before 6AM because you are going on a road trip then you of course are willing to pay a tiny bit extra for the more expensive electricity at that time?

For all the other ones. If don't know how many nines after 99%. I they start their day with 60% or 80% or 100% does not matter in the slightest for their daily commute.

That is the entire point. Pay extra only when you need it to get reliability. With wasting money on new built nuclear power we would be making an entire generation poorer because you assume everyone wants to go on daytrips every single day.
by gspencley | 2025-07-15 14:37:39+00:00
Philosophy and religion are not mutually inclusive, though one can certainly describe a religious belief as being a philosophical belief.

Even a scientifically inclined atheist has philosophical ideas grounding their world view. The idea that the universe exists as an objective absolute with immutable laws of nature is a metaphysical idea. The idea that nature can be observed and that reason is a valid tool for acquiring knowledge about nature is an epistemological idea. Ethics is another field of philosophy and it would be a mistake to assume a universal system of ethics that has been constant throughout all cultures across all of human history.

So while I certainly agree that there is a very common hand-wave of "look the atheists have just replaced God with a new 'god' by a different name", you don't have to focus on religion, theology and faith based belief systems to identify different categories of philosophical ideas and how they have shaped different cultures, their beliefs and behaviours throughout history.

A student of philosophy would identify the concept of "my truth" as being an idea put forward by Emmanuel Kant, for example, even though the person saying that doesn't know that that's the root of the idea that reality is subjective. Similarly, the empirically grounded scientist would be recognized as following in the footsteps of Aristotle. The pious bible thumper parroting ideas published by Plato.

The point is that philosophy is not the same thing as religion and philosophy directly shapes how people think, what they believe and therefore how they act and behave. And it's kind of uncanny how an understanding of philosophy can place historical events in context and what kinds of predictive capabilities it has when it comes to human behaviour in the aggregate.
by ghc | 2025-07-15 14:37:57+00:00
Even if the profit margin is driven to zero, that does not mean competitors will cease to offer the models. It just means the models will be bundled with other services. Case in point: Subversion & Git drove VCS margin to zero (remember BitKeeper?), but Bitbucket and Github wound up becoming good businesses. I think Claude Code might be the start of how companies evolve here.
by windexh8er | 2025-07-15 14:38:10+00:00
> Claude Opus 4 often gives perfectly working code on the first try, and it's much less likely to hallucinate or argue with you when it's wrong. It costs around $1 per request though. Not cheap. It's a model with many trillions of weights and running it isn't cheap.

Claude Opus 4 isn't the silver bullet as described here. I have used it quite often in the last few weeks to help me both write code and to debug system problems. I would say it's not worth the price and that Sonnet is, generally, just as good.

In fact I still just use 3.7 as it was stated that both 4.0 releases were less sychophantic, however I don't feel that is the case.

I also never have an AI "argue" with me, in fact I can tell it that it's completely wrong, when it's not, and it will agree with me almost always along with an zealous apology.
by zamadatix | 2025-07-15 14:38:12+00:00
In 2002, watching a movie at home for most people meant flinging a low quality VHS or DVD onto a ~27" tube TV (with a resolution so worthless it might as well be labeled "new years") using a 4:3 aspect ratio pan & scan of the actual movie. Getting anything recent meant going out to the Blockbuster anyways. In 2022, watching a movie meant streaming something on your 50+" 16:9 4k smart TV by pressing a button from your couch.

Box office ticket sales say people go to the theatre less often, not that people watch movies less often. Unless you specifically want "the movie theater experience" or you absolutely have to see a certain movie at launch you're not going to the theatre to watch a movie. The number of movie views per person may well be down (or up), but box office ticket sale counts don't really answer that question.
by robwwilliams | 2025-07-15 14:38:13+00:00
I support this comment. AI for coding does still involve much prodding and redirecting in my limited experience. Try getting Claude to produce even a simple SVG for a paper is a struggle in my experience.

But for helping me as a partner in neurophilosophy conversations Claude is unrivaled even compared to my neurophilosophy colleagues—speed and the responsivness is impossible to beat. LLMs are at pushing me to think harder. They provides the wall against which to bounce ideas, and those bounces often come from surprising and helpful angles.
by mikeve | 2025-07-15 14:38:23+00:00
I've experienced this as well. I'm working on a project for which I wanted to search through transcripts of a video. This is often a very long text. I figured since models like the GPT 4.1 series have very large context windows RAG was not needed but I definitely notice some strange issues, especially on the smaller models. Things like not answering the question that was asked but returning a generic summary of the content.
by charcircuit | 2025-07-15 14:38:24+00:00
>that arbitrarily

If they had access to better data they wouldn't have to do it arbitrarily and could more accurately target problematic people. I believe there isn't room for doing it arbitrarily as from my perspective it is a suboptimal strategy towards accomplishing one's goals.

>please consider that societies are composed of living people and software is composed of 1s and 0s.

I am not interested in making an emotional argument. I would be willing to hold my belief regardless of what a system is made up of.
by dylan604 | 2025-07-15 14:38:42+00:00
Someone else mentioned needing additional stats to just the score line. There are most definitely boring draws. There are also boring blow outs. If the draw comes with lots of saves, which naturally means lots of shots on target, lots of corners, equal time of possession, then that would be a much more exciting match. A game with a low shot count and few corners would indicate a potentially boring game
by hammyhavoc | 2025-07-15 14:38:42+00:00
What uses are you finding for it in the real world? I've found them nothing but unreliable at best, and quite dangerous at worst in terms of MCP and autonomous agents. Definitely not ready for production, IMO. I don't think they ever will be for most of what people are trying to use them for.

"Novelty" comes to mind.
by Matticus_Rex | 2025-07-15 14:39:32+00:00
I trust an individual judge's opinion on almost any topic to be more intelligent than that of an individual jury member.

But there's huge selection bias in who becomes a judge, and so we end up with a pool of people who are mostly former prosecutors, which is another pool with a huge selection bias.

All of the judges I know personally (though not all I've been around) are well-meaning, fair-minded people, but with maybe one exception they're all true believers in the fairness of the system, and all tend to give tremendous unearned deference to prosecutors. We should absolutely not make them the finders of fact in criminal cases.
by sebmellen | 2025-07-15 14:40:23+00:00
If you're curious about this topic, I'd recommend you look up interviews with the jurors in the OJ Simpson trial. Many were black and by their own admission made their decision about OJ's guilt-based entirely on a feeling of racial justice. They considered it “payback.”

https://youtu.be/BUJCLdmNzAA?feature=shared
by zersiax | 2025-07-15 14:40:32+00:00
This is a really cool concept :) Generally in language learning it's a good idea to try to "think" in the language as much as you can so you get creative about how to phrase something with the words you do have, but if that fails, particularly when you're just starting out this is a great motivational aid and conversation starter if nothing else :) I would definitely recommend integrating with an established translator like DeepL as well as a kind of second correction as AI does get things wrong and having the two versions can help compare what may have gone wrong, you can probably keep your autodetecting language bit as well as I am pretty sure DeepL supports language identification and if not, I know Google does. Good luck with learning Danish, I tried my hand at it a few years back but have switched to Finnish as of early this year
by lelanthran | 2025-07-15 14:40:34+00:00
> OP wanted a thing. in the past, they've been OK paying $10k for similar things.

Okay, then their costs should have come down similarly, no? OP said they were a business and that these weren't luxury hobby things but business needs. In which case, it must reflect on the bottom line.

I operate as a business myself (self-employed), and I can generally correlate purchases with the bottom line almost immediately for some things (Jetbrains, VPSes for self-hosted git, etc) and correlate it with other things in the near future (certifications, conferences, etc).

The idea that "here is something I recently started paying a non-trivial amount for but it does not reflect on the bottom line" is a new and alien concept to me.
by npteljes | 2025-07-15 14:41:28+00:00
The way I read it, the joke is just owning the insult in a good way.

It works here on multiple levels, because first, owning the insult is not expected, so that's already a surprise, which can work as a joke.

Then, by actually admitting to the many bad classes, it signals that the author can actually tell good from bad, implying knowledge about the matter after all, refuting the argument in the insult (that he is bad in philosophy because he had bad philosophy classes).

Third, it's a very short, snappy response, in vein of the insult, making the author look competent.
by alganet | 2025-07-15 14:41:41+00:00
> If we want to understand the human mind in its entirety, we must move from domain-specific theories to an integrated one

I would prefer if first, the feasibility of a unified integrated theory was proven.

> An important step towards a unified theory of cognition is to build a computational model that can predict and simulate human behaviour in any domain

Why is this step important? Do LLMs qualify as a valid computational model that explains cognition? Which other steps lead to this one?

> Centaur was designed in a data-driven manner by fine-tuning a state-of-the-art large language model

These statements are contradictory. You don't design a large language model, you design it's inference engine. Calling it a "design" implies you had blueprint-like plans for its desired outcome. It's not only a definition argument: language models are fine-tuned by selected input data, and this practice in a research setting raises a red flag.

> We transcribed each of these experiments into natural language, which provides a common format for expressing vastly different experimental paradigms

References for this translation process are from the same authors, and build upon models that are not open-weight. This raises a red flag.

> simplifications were made where appropriate

What was the criteria for determining when a simplification was appropriate or not? I could not find any mention to simplification procedures in the supplementary material.

> Finally, we verified that Centaur fails at predicting non-human behaviour.

Is it failing at predicting non-human behavior, or is it relying on how relatively unknown LLM behavior is?

Let me explain better: if you get participants experienced in exploting LLMs, would Centaur fare differently? This skill is definitely within the realm of human cognition (eg. making an LLM hallucinate). This question is important.
by Miraltar | 2025-07-15 14:41:42+00:00
Well, a few years ago I was a student in CS and my formation had the AI label stamped on it. We talked about machine learning, neural network and stuff like that and we called that AI. There was never a mention of AGI. I don't know if it's a translation thing but AI = AGI never was a thing for me. As long as there is no clear definition for it people will keep on arguing because we each have our own blurry picture.
by benterix | 2025-07-15 14:42:04+00:00
There are a couple of points I'd disagree here.

1. I don't believe tenfold difference in pricing PostgreSQL vs Redis at fly.io is due to complexity, Postgres is much more complex. If I had to guess at why they priced it that way, I'd say it's because they choose more RAM-beefy machines to host their Redis instances. Other providers may have the pricing completely different.

2. It's been a decade that Lucene-based search engines are no longer the default choice. If for some reason PostresQL's FTS is not the right choice, there are many excellent alternatives like Meilisearch or Typesense.
by PaulHoule | 2025-07-15 14:42:18+00:00
In general there's a belief that a certain kind of dark matter particle

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

can release energy by self-annihilation and could either power a "dark star" of some kind or be responsible for a gamma ray line emitted any place where it gets unusually dense.
by Lerc | 2025-07-15 14:42:18+00:00
I have thought of doing a similar thing from time to time.

I had thought it could have a use in producing tiny visual apps. I am still somewhat bitter from when I found a volume control that used 3MB on a machine with 256MB total.

It seems you can change the shape of the display, which I like, although I don't really understand the documentation text

>Writing to this port group will perform an atomic write, requesting on commit that the width of the screen be locked and changed to the value written.

Locked and changed?

You also seem to be using double to refer to two bytes, is that correct? If so, I would recommend something that won't confuse people so much. Word is a common nomenclature for a 16 bit value, although it does share the space with the concept of machine words.

And of course to use it for a lot of things it would have to be able to talk to the outside world. A simplified version of what Deno does for allowing such capabilities could allow that. In the terms of Bedrock it would be easiest to have a individual device for each permission that you wanted to supply and have the host environment optionally provide them. I'd put the remote bytestream into it's own device to enable it that way.
by sjsdaiuasgdia | 2025-07-15 14:42:42+00:00
Let's see...

There's tags showing what Python versions are supported.

The root dir of the repo contains a 'pyproject.toml' file.

The readme contains installation instructions for pip, poetry, and uv, all of which are Python package managers.

The readme contains example code, all of which is in Python.

The readme references asyncio, a Python module that is included in the standard library for Python 3.

The 'Languages' widget on the page shows 99.2% of the repo's code is in Python.

Every file not in the root dir has a .py extension.

Yeah, I can see why it was so hard to figure out...
by mejutoco | 2025-07-15 14:42:43+00:00
> At some point Netflix really focused on this, then like google throwing away search, they lost it.

I believe Netflix had a big catalog when people signing their rights thought it was not going to work. Once the model was proven everyone created their platform and stopped licensing to Netflix. Then Netflix had to get closer to making their own shows, and their "discoverability" features centered around hiding how few movies they have.