MurphyA/hacker-news huggingface dataset:
by danudey | 2025-11-03 18:11:19+00:00
After having used it two weeks ago for the first time: it feels as though async support in Python is basically a completely parallel standard library that uses the same python syntax with extra keywords all over the place. It's like if building code compliance required your 50 year old house to be updated have a wider staircase with deeper steps but you wanted to do so without affecting the existing stairs, so now you just have two staircases which are a little bit different and it feels like it takes up space unnecessarily.

I had to look for async versions of most of what I did (e.g. executing external binaries) and use those instead of existing functions or functionality, meaning it was a lot of googling "python subprocess async" or "python http request async".

If there were going to be some kind of Python 4.x in the future, I'd want some sort of inherent, goroutine-esque way of throwing tasks into the ether and then waiting on them if you wanted to. Let people writing code mark functions as "async'able", have Python validate that async'able code isn't calling non-async'able code, and then if you're not in an async runloop then just block on everything instead (as normal).

If I could take code like:

def get_image(image): return_code = subprocess.check_call(["docker", "pull", image]) if return_code: raise RuntimeError("idk man it broke") result = get_image(imagename) print(result)

And replace it with:

def get_image(image): return_code = subprocess.check_call(["docker", "pull", image]) if return_code: raise RuntimeError("idk man it broke") result = async get_image(imagename) print(result)

And just have the runtime automatically await the result when I try to access it if it's not complete yet then it would save me thousands of lines of code over the rest of my career trying to parallelize things in cumbersome explicit ways. Perhaps provide separate "async" runners that could handle things - if for example you do explicitly want things running in separate processes, threads, interpreters, etc., so you can set a default async runner, use a context manager, or explicitly threadpool.task(async get_image(imagename)).

Man, what a world that would be.
by overvale | 2025-11-03 18:11:25+00:00
I'm genuinely interested in the world around me, and I like being entertained as much as the next person, but the problem with social media for me is that it creates a simulacrum of the world which does not correspond to the tangible reality I see around me.

I would go further and say that social media is just another kind of "news". The News, essentially, takes an incomprehensibly complex world and distills/simplifies it into something you can understand. In the same way that one creates a mental model for how a complex system works in order to better understand it. That's a useful thing!

But the distillation/simplification process introduces biases and distortions in its model of the world, which can lead to the model being extremely inaccurate. And with social media that inaccuracy extends to representations of your friends, family, and your self.

To the extent that The News, and Social Media, creates a reasonably accurate model of the world around you they're useful, but I take it all with a heavy dose of skepticism.
by richardjho | 2025-11-03 18:11:35+00:00
Protege | Remote (US) | Full-time | Mid / Senior / Staff Generalist & Data Engineers | https://withprotege.ai

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by adamjleonard | 2025-11-03 18:12:00+00:00
Location: Cancun, Mexico (but I am an American citizen)

Remote: Only, but I will gladly travel and stay at the office for a couple weeks at a time, multiple times a month

Willing to relocate: No

Technologies: Python, LLMs, JavaScript, Typescript, Ruby, Rails, Docker, Mobile development, React, Can learn just about anything pretty fast and get up and running

Resume/CV: https://www.linkedin.com/in/adamjamesleonard

Email: adamjamesleonard@gmail.com

Seasoned product engineer (~20 years). Recently helped YC company Attunement launch its first products; last year led and built an AI experience for Beetlejuice that scaled to millions of users. I specialize in turning zero-to-one ideas into profitable, scalable products. I am interested in doing deeper AI work, relative to training models, and or solving hard problems.
by ivraatiems | 2025-11-03 18:12:05+00:00
The author searches for a midpoint between "AIs are useless and do not actually think" and "AIs think like humans," but to me it seems almost trivially true that both are possible.

What I mean by that is that I think there is a good chance that LLMs are similar to a subsystem of human thinking. They are great at pattern recognition and prediction, which is a huge part of cognition. What they are not is conscious, or possessed of subjective experience in any measurable way.

LLMs are like the part of your brain that sees something and maps it into a concept for you. I recently watched a video on the creation of AlexNet [0], one of the first wildly successful image-processing models. One of the impressive things about it is how it moves up the hierarchy from very basic patterns in images to more abstract ones (e. g. these two images' pixels might not be at all the same, but they both eventually map to a pattern for 'elephant').

It's perfectly reasonable to imagine that our brains do something similar. You see a cat, in some context, and your brain maps it to the concept of 'cat', so you know, 'that's a cat'. What's missing is a) self-motivated, goal-directed action based on that knowledge, and b) a broader context for the world where these concepts not only map to each other, but feed into a sense of self and world and its distinctions whereby one can say: "I am here, and looking at a cat."

It's possible those latter two parts can be solved, or approximated, by an LLM, but I am skeptical. I think LLMs represent a huge leap in technology which is simultaneously cooler than anyone would have imagined a decade ago, and less impressive than pretty much everyone wants you to believe when it comes to how much money we should pour into the companies that make them.

[0] https://www.youtube.com/watch?v=UZDiGooFs54
by LLgordon | 2025-11-03 18:13:06+00:00
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by anonymars | 2025-11-03 18:13:14+00:00
You're right that the file handle protects from such a mixed read (which is why replacing an in-use loaded file is not super straightforward) so that wasn't phrased well. I point out that there also exists a race condition of loading multiple dlls.

But in fact it is true that the pages that are mapped to a file on disk will not be redundantly written to the page file. Some pages might if they were modified by relocation fixups.

More info: https://devblogs.microsoft.com/oldnewthing/20170119-00/?p=95...

That links to this which is also salient: https://learn.microsoft.com/en-us/archive/blogs/larryosterma...

And in case you're wondering how this plays with ASLR: https://devblogs.microsoft.com/oldnewthing/20160413-00/?p=93...
by toomuchtodo | 2025-11-03 18:13:15+00:00
Original title "Judge declines to OK settlement in challenge of hedge funds’ handling of KY pension money" compressed to fit within title limits.

Related:

How a Gang of Hedge Funders Strip-Mined Kentucky’s Public Pensions - https://news.ycombinator.com/item?id=18271819 - October 2018
by paradox460 | 2025-11-03 18:13:23+00:00
I was doing that for a while with some CLI scripts, never really melded them together, but I had one from before I started using JJ that would make a new git branch named off a JIRA ticket, and a newer one that wrapped up the various jj and github gh cli invocations to create a PR off a branch.

The jira cli util I used, go-jira, hasn't been updated to use the new Atlassian APIs, and I haven't spent too much time looking for a replacement.

https://github.com/paradox460/dotfiles/blob/main/dot_bin/exe... - This creates PRs based off a few different approaches, the -c flag lets you do nameless branches

https://github.com/paradox460/dotfiles/blob/main/dot_bin/exe... - is the one that would fetch tickets from JIRA and make new branches off of it
by plutoh28 | 2025-11-03 18:13:47+00:00
Location: California, USA

Remote: Open to remote, in-person, or anything in between.

Willing to relocate: Yes

Technologies: C, C++, Assembly (ARMv8, x86_64), Python, TypeScript, Linux, GDB, Valgrind, lldb, React, Expo, Neovim

CV: https://drive.google.com/file/d/1DSbcwBSw_hP9gQ2ut0FxXelISFk...

Email: davidvoronof@gmail.com

Hey, I'm David. I'm in my 4th year of Software Engineering at Cal Poly SLO and am looking for professional experience outside of class/personal projects.

I'm specifically interested in exploring any lower level applications. I have strong OS/Computer Architecture fundamentals and am very passionate about going deeper within those areas. Some of my projects include a non-preemptive threading library in C, a handwired breadboard CPU, and some Minix3 filesystem image cli tools.

Open to internships or full time roles.
by jonfw | 2025-11-03 18:13:49+00:00
> ChatGPT going to stop in the middle of it and go "Hey, you know what sounds good right now? A nice bowl of soup..."

Google/facebook do that today, because the content they're showing is created pre-ad, and the ads have to be injected after the fact.

With AI- the content is being generated in the same place that the ads are being injected, which allows us to be much more subtle about it.

How much do you think a car company would pay for to put special training weight on their marketing materials? I would guess big money
by Rucadi | 2025-11-03 18:14:00+00:00
Location: Barcelona/Spain

Remote: Preferred

Willing to relocate: No

Technologies: C++(up to 23), Nix, Linux Namespaces / Docker, Python, CUDA, FPGA development(xilinx) with a little bit of linux driver development, verilog, reverse engineering, Rust-curious... In general I touch a lot of stuff and learn fast :)!

Résumé/CV: https://rucadi.eu/cv.html

Email: rubencanodiaz[<at>]gmail.com
by toss1 | 2025-11-03 18:14:13+00:00
Exactly this, which is why I'd expect automakers to use the short axles and CV (constant-velocity) joints which are already well-developed technologies for 4-wheel independent suspensions

I see no reason the small motors can't be mounted inboard from the wheels on the underside of the chassis, as are a rear differential or front transaxle in an ICE car.

Having such a small and lightweight power package opens up serious design and performance opportunities. Plus, even without major redesign to take full advantage, every reduction in weight rolls through the system, providing immediate improved acceleration, cornering, & braking or similar performance using smaller tires, brakes etc..
by ashjanderson | 2025-11-03 18:14:50+00:00
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Tech we use: We’re language agnostic and hire for fundamentals. Our teams work across a mix of:

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We also have an opening for a Senior Product Manager.

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by aiauthoritydev | 2025-11-03 18:15:01+00:00
Do not get influenced by the English media that loves the stories of anecdotal heroes. On one hand nothing in India is done in an organized way. But the forestation and wildlife management is done relatively better than other things.

Environmentalists and bureaucrats are epitome of evil in India. Where I lived in India, the forest officials themselves hunted the wild game and gifted it to environmentalists and vice versa. Need exotic meat to eat ? The forest officer or the local wildlife activist is the guy who can make it happen. Want to eat Olive Ridley Turtle eggs ? The officer incharge of their conservation can sell it to you.

India's forests, rivers, beaches have been inhabited by their native people for thousands of years. Over years they did figure out what works and what does not. For example ban on fishing during breeding season was a traditional system. Not hunting in "God's forest" was essentially a wildlife preserve. Religion, way of life and sustainability was part of the society in an organic way. Need to build a checkdam seasonally ? we had a local process for that. The dam was built on new moon day of X month and taken down with the first rain etc.

I am not romantacizing the poor people's life in India. Their systems had problems. Unscrupulous people took advantage of religious beliefs, some systems were based on exploitation etc. etc. But with growth in population and urbanization required a seamless transition of these traditional systems into governance structures of local bodies.

That did not happen because of Indian Government. They adopted the British I*S system and airdropped young and corrupt idiots as the overlords of the areas. Activists who wrote papers in "peer reviewed" journals then wrote reports on how these babus gotta civilize the villagers and put in new system in place.

Once you ban hunting entirely, the hunters go back to their life and poachers take over. Hunters understand concept of wild life preserves. Poachers don't. Hunters now out of business don't have incentive to stop poaching. Before you know it the poachers and babus have formed a nexus to sell game meat.

Same goes for trees. Government banks cutting down trees entirely as if it is murder. Entire wood logging industry is killed off under the sheer weight of red tape. Since I come from wood logging family, the red tape meant we could not sell our trees profitably anymore. I had to look for altnerative occupation for myself and sell the land to wood mafia who now use the land for a "pretend forest" while they actually steal wood from national parks and public lands.
by meganvs | 2025-11-03 18:15:03+00:00
Sphinx Defense | Engineering, DevOps, & Product | Remote (US Only), DC, Colorado Springs, LA | https://www.sphinxdefense.com

Sphinx Defense builds software to solve complex national security problems for America and its allies. Founded by engineers and technologists with deep experience across commercial and defense technology, we're building a vehicle-agnostic communication infrastructure to enable satellite operators to securely utilize antenna networks and maneuver satellites in real-time. We're bootstrapped, profitable, and growing aggressively.

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by adverbly | 2025-11-03 18:15:05+00:00
So happy to see Hofstadter referenced!

He's the GOAT in my opinion for "thinking about thinking".

My own thinking on this is that AI actually IS thinking - but its like the MVB of thinking (minimum viable brain)

I find thought experiments the best for this sort of thing:

- Imagine you had long term memory loss so couldn't remember back very long

You'd still be thinking right?

- Next, imagine you go to sleep and lose consciousness for long periods

You'd still be thinking right?

- Next, imagine that when you're awake, you're in a coma and can't move, but we can measure your brain waves still.

You'd still be thinking right?

- Next, imagine you can't hear or feel either.

You'd still be thinking right?

- Next, imagine you were a sociopath who had no emotion.

You'd still be thinking right?

We're just not used to consciousness without any of the other "baggage" involved.

There are many separate aspects of life and shades of grey when it comes to awareness and thinking, but when you take it down to its core, it becomes very hard to differentiate between what an LLM does and what we call "thinking". You need to do it by recognizing the depths and kinds of thoughts that occur. Is the thinking "rote", or is something "special" going on. This is the stuff that Hofstadter gets into(he makes a case for recursion and capability being the "secret" piece - something that LLMs certainly have plumbing in place for!)

BTW, I recommend "Surfaces and Essences" and "I am a strange loop" also by Hofstadter. Good reads!
by freefaler | 2025-11-03 18:15:19+00:00
You can't feed poor people with "morals", you need a productive tax base and good redestribution system to do that.

If you have a farm, you can't kill your chicken to feed the starving neighbour if your own chidren are starving. You need to keep the chicken alive because they will feed you and if they produce enough eggs you can help your neighbour too.

When you overtax your companies you make them uncompetitive and you have less tax to redistribute. It's just simple mathematics, no morals are needed to understand that. No tax = no social safety nets. Tax comes from profit. Profit comes from margin. Margin is destroyed by higher costs. If you increase the cost, you need to close the border so all the companies can share the same cost of labor. You'll squeeze more from the companies and make more social payments but less capital for the companies to invest and hire more people. So you're just making the stuff companies produce more expensive for all. (because you need to close the border to remove outside competition)

It's not rocket science. When societies got rich then they started having social nets, not before.
by ciju | 2025-11-03 18:15:22+00:00
1. No current plans for native mobile app. We plan to make the web app somewhat usable on mobile, soon. Eventually, yes we would like to have a native app also.

2. We have few banks supported (HDFC, ICICI). We have custom importer also, where you can define how to map a file to the fields we use. Note that import is manual. E.g. we don't scrape your bank etc. You export statement (like hdfc pdf statement, or zerodha transactions csv) and import it into the software.
by cs702 | 2025-11-03 18:15:42+00:00
Many people who object to the idea that current-generation AI is thinking do so only because they believe AI is not "conscious"... but there is no known law in the universe requiring that intelligence and consciousness must always go together. With apologies to René Descartes[a], intelligence and consciousness are different.

Intelligence can be verified and quantified, for example, with tests of common sense and other knowledge.[b] Consciousness, on the other hand, is notoriously difficult if not impossible to verify, let alone quantify. I'd say AI is getting more intelligent, and more reliable, in fits and starts, but it's not necessarily becoming conscious.

---

[a] https://en.wikipedia.org/wiki/Cogito%2C_ergo_sum

[b] For example, see https://arxiv.org/abs/2510.18212
by kiwicopple | 2025-11-03 18:15:47+00:00
this is the last of a 9-part series on database consensus algorithms (like Paxos and Raft):

> Raft improved accessibility but remains a monolithic algorithm that's risky to modify. This has effectively limited our flexibility in adapting consensus systems to modern cloud architectures.

The series begins here: https://multigres.com/blog/generalized-consensus
by colinramsay | 2025-11-03 18:15:53+00:00
Location: Cornwall UK Remote: Yes Relocate: No Technologies: Backend, Frontend, DevOps, most recently full stack React CV: on request Email: colinramsay at gmail.com

https://colinramsay.co.uk/

I’ve most recently been tech director for a software agency and have worked with loads of different technologies. I enjoy problem solving!

I’m looking for a flexible role but I don’t have a specific position in mind. I’d love to have a conversation if you’re looking for a capable developer and communicator!
by jborden13 | 2025-11-03 18:15:54+00:00
Location: Telluride, CO

Remote: Yes

Willing to relocate: No

Product Leadership: Scaling SaaS startups → PE exit, 100+ remote teams

AI/Innovation: OpenAI, RAG, LangChain, NLP/LLM pipelines, distributed systems

Technical: TypeScript, Node, Python, React/Vue, AWS/Azure, SQL/NoSQL

Résumé/CV: https://www.linkedin.com/in/jeff-borden/

Email: jborden13 [@t] gmail [dot] com

Built and sold a B2B SaaS company serving Fortune 500 brands with e-commerce intelligence and compliance. Now seeking to lead product/innovation teams solving complex problems at the intersection of data, AI, and scalable systems.

* Open to fractional, advisory, or full-time roles.
by almosthere | 2025-11-03 18:16:18+00:00
The code that builds the models and performance inference from it is code we have written. The data in the model is obviously the big trick. But what I'm saying is that if you run inference, that alone does not give it super-powers over your computer. You can write some agentic framework where it WOULD have power over your computer, but that's not what I'm referring to.

It's not a living thing inside the computer, it's just the inference building text token by token using probabilities based on the pre-computed model.