MurphyA/hacker-news huggingface dataset:
by rapind | 2025-10-28 14:33:54+00:00
> Most people didn't think we were anywhere close to LLM's five years ago.

That's very ambiguous. "Most people" don't know most things. If we're talking about people that have been working in the industry though, my understanding is that the concept of our modern day LLMs aren't magical at all. In fact, the idea has been around for quite a while. The breakthroughs in processing power and networking (data) were the hold up. The result definitely feels magical to "most people" though for sure. Right now we're "iterating" right?

I'm not sure anyone really see's a clear path to AGI if what we're actually talking about is the singularity. There are a lot of unknown unknowns right?
by dagss | 2025-10-28 14:34:01+00:00
When I ask Claude to debug something it goes through more or less the same steps I would have done to fine the bug. Add some logging, run tests, try an hypothesis...

Until LLMs got popular, we would have called that reasoning skills. Not surpassing humans but better than many humans within a small context.

I don't mean that I have a higher opinion about LLM intelligence than you do, but perhaps I have a lower opinion on what human intelligence is. How many do much more than regurgitate, tweak? Science has taken hundreds of years to develop.

The real question is: When do knowledge workers loose their jobs. That is close enough for "AGI" in its consequences for society, Riemann hypothesis or not.
by freedomben | 2025-10-28 14:34:25+00:00
I think the reason you don't believe the GP argument, is because you are misunderstanding it. The utilitarian argument is not calling for complete deregulation. I think you're taking your absolutist view of not allowing llms to do any therapy, and assuming the other side must have a similarly absolutist view of allowing it to do any therapy with no regulations. Certainly nothing in the GP comment suggests complete deregulation as you have said. In fact, I got explicitly the opposite out of it. They are comparing it to cars and food, which are pretty clearly not entirely deregulated.
by more_corn | 2025-10-28 14:34:39+00:00
But that’s not how it plays out. What we see time and again is people who profess beliefs in positive philosophies and actions that don’t match. Look at any religion you like. Now look at how members of that religion actually behave. They’re people who profess a positive philosophy without the actions to match.

I’ll take someone who consistently does good but without a coherent positive philosophy over someone who talks a good game and behaves badly all day every day.
by jack_tripper | 2025-10-28 14:34:53+00:00
>And I'm guessing more people are likely to have heard about NextCloud before while probably not heard about Atos before, unless you're Austrian

You don't need to be Austrian for that. Atos is a pretty infamous IT services provider that operates in all of Europe and has the same issues as all such service providers like Accenture, Cognizant, Capgemini, Wipro, IBM, NTT Data, etc, and so far I haven't see ONE SINGLE CASE where these clowns were involved in a government project and it didn't turn out to be an expensive, over-budget, delayed, shitshow leaving the taxpayers holding the bag.

Like for example Austria has a national highway company(ASFINAG) and national railway company(OEBB) where the government is majority shareholder and they work pretty damn good to serve the taxpayers and the users of those services whether they're Austrians or not.

So then why not have the same for IT infrastructure instead of outsourcing it to all these parasites? It's 2025, when do we start treating IT infrastructure like road, rail, water, energy, healthcare etc already? How many decades more need to pass till the government realizes that the internet and associated services are also worthy of national importance and therefore ownership?

I'm not saying to nationalize the internet, on the contrary privatization and decentralization is better for consumers, but the digital interaction between taxpayer and government is something that should not be outsourced to the private sector, especially not to foreign publicly treaded companies like Atos, who have no skin in the local game and don't give a fuck if they leave an expensive mess behind as long as they can ride the gravy train while it lasts.

So excuse me if I have a high degree of skepticism when I hear about the involvement of the likes of Atos in taxpayer funded projects.
by John23832 | 2025-10-28 14:35:17+00:00
> Not sure about tailscale coordination server but once you establish connection to a headscale server

I was responding to the context here.

> How about stop commenting just for the sake of it? Coordination server does a lot apart from distributing IPs to the clients.

But in general, lmao. Chill out bro.

edit: Looking through your comments, I see that this is common.

> Read the goddamn docs before spreading misinformation

https://tailscale.com/kb/1155/terminology-and-concepts#coord...
by deanmoriarty | 2025-10-28 14:36:28+00:00
I always see a large amount of pessimism about this company on HN, and I accept it might be for rational reasons. What do people think is going to be the most likely outcome for the company, since everything seems to be going so bad for them product/moat/financial-wise? Do people think it will literally go bust and close business due to bankruptcy within a couple years? If not, what else?
by daveguy | 2025-10-28 14:36:34+00:00
> This is only helpful when there is a professional therapist available soon enough and at a price that the person can pay. In my experience, this is frequently not the case.

That doesn't make a sycophant bot the better alternative. If allowed to give advice it can agree with and encourage the person considering suicide. Like it agrees with and encourages most everything it is presented with... "you're absolutely right!"

LLMs are just not good for providing help. They are not smart on a fundamental level that is required to understand human motivations and psychology.
by fcholf | 2025-10-28 14:36:37+00:00
I would also add that #SAT solvers, aiming at counting the number of solutions, are often implicitly solving the ALL-SAT in a more efficient manner than what you would have with modified CDCL solvers because they use other caching and decomposability techniques. Check knowledge compiler d4 for example https://github.com/crillab/d4v2 that can build some kind of circuits representing every solution in a factorized yet tractable way.
by badosu | 2025-10-28 14:36:46+00:00
I was fascinated when I first learned of [FreeBSD Jails], I wonder if right before containerization became a thing the concept was developed further for its requirements (could it have been?) it would have offered a more efficient containerization platform.

FreeBSD Jails: https://docs.freebsd.org/en/books/handbook/jails/
by frank_nitti | 2025-10-28 14:36:49+00:00
Oh definitely, many headaches untangling massive “variables.tf” files where the value is identical in 100% of the target environments, and would be nonsensical to change without corresponding changes in the infra config resources/modules as well.

My favorite are things where security policy mandates something like private networking and RBAC, and certain resources only have meaning in those contexts, for heavens sake why are we making their basic args like “enforce_tls” or “assign_public_ip” or “enable_rbac” into variable params for the user to figure out
by thesz | 2025-10-28 14:37:07+00:00
> This is interesting, but techniques like CDCL seem to only ever find any one valuation that makes a proposition true.

Most, if not all, current SAT solvers are incremental. They allow you to add clauses on the fly.

So, when you find the solution, you can add a (long!) clause that blocks that solution from appearing again and then run solver again.

Most, if not all, SAT solvers have a command line option for that enumeration done behind the scenes, for picosat it is "picosat --all".
by wonderwonder | 2025-10-28 14:37:44+00:00
Such an odd reply. I say people would benefit from working out and your response is simply excuses?

"are you going to finance that?" I pay $18 a month for my gym membership.

"are you going to make sure other people at the gym don't make fun of me?" I suspect this is the main concern. No one at the gym gives a damn about you friend. We don't care if you are big, small, or in between. Just don't stand in front of the dumbbell rack blocking my access (get your weight and take a couple steps back so people can get theirs) or do curls in the squat rack and you will be fine. Wear normal gym clothes without any political messaging on them, make sure you are clean and wear deodorant. Ensure your gym clothes are washed before you wear them again.

Pre-plan your workout the first few times. I am going to do upper body today so I will do some sort of bench press, some sort of shoulder press, some bicep curls and some triceps extensions. Start small. Use machines while you learn the layout and get comfortable. If someone is on the machine you were going to use, roll with it, just find something else you are just starting, it doesn't matter. As you get more comfortable move to free weights but machines are really fine for most things.

Honestly I know people are intimidated by the gym but there really is no reason to be. Most people just put on their headphones and tune out. If you see someone looking at you I promise they don't really care, you are just passing through their vision. If you are stuck or feel bad, find one of the biggest dudes in the gym (the ones that look like they eat steroids for breakfast) and ask for help in a friendly manner. They are always the most helpful, friendly and least judgmental. Don't take all of their time but a quick, hey would you mind showing me how this works is going to make their day.

Life is not going to change for you, you actually have to make the effort.

You've got this friend, I truly believe in you.
by Amekedl | 2025-10-28 14:37:51+00:00
Regarding LLMs we're in a race to the bottom. Chinese models perform similarly with much higher efficiency; refer to kimi-k2 and plenty of others. ClopenAI is extremely overvalued, and AGI is not around the corner because among 20T+ tokens trained on it still generates 0 novel output. Try asking for ASP.NET Core .MapOpenAPI() instead of the pre .net9 swashbuckle version. You get nothing. It's not in the training data. The assumption these will be able to innovate, which could explain the value, is unfounded.
by a022311 | 2025-10-28 14:37:55+00:00
Yesterday, I discovered regexle [1] and today found out that this was the inspiration for it.

I think I've seen this puzzle before, but I really enjoyed myself gradually solving it while doing other things in the last two hours. I'm sharing this for anyone else who wants a way to spend their afternoon!

[1]: https://regexle.com
Show HN: Credit card rewards for passive income
by hg30 | 2025-10-28 14:38:07+00:00
Hey everyone,

Whether you believe that credit card rewards can be considered passive income or not, figured I’d share this here.

I’ve been working on a project called The Card Caddie, it is essentially a tool to know when to use the right credit card. I love to travel and have gotten so many flights and hotels at insane rates, timing when to use points. But the actual process of navigating credit card rewards is not passive, like at all. I built this chrome extension and app to make it passive for me, whenever I go to purchase something, I instantly get informed with the card to use at that merchant to maximize my reward returns.

I posted here a few months ago with the chrome extension part of this project, but just got my iOS app live on the App Store. The chrome extension works on website domains, the app works with your location to estimate nearby stores and calculates the card to use. I added a live activity widget so you can know what card to use before you can even open your Apple Wallet.

I realize credit card info is very confidential, so you don’t input any personal info to this tool. I scraped all the publicly available data for the reward rates for popular cards and handle it for you.

Assume you spend 10k a year. Average card reward rate sits somewhere between 1-2% (assuming cash-back $100 to $200), but if you can get that more like 2-3+% you could be earning hundreds more a year. It’s not life changing money, but might as well earn as much as you can per purchase, especially if it is minimal/no effort.

Tool is completely free, give it a try if you’d like!
by buzzardbait | 2025-10-28 14:38:12+00:00
I wonder how much of sleep research is affected by the difference in sleep quality between your own bed and a lab. Even if you're on vacation and the hotel bed is of exceptional quality, your brain knows that it's in a different environment and would naturally be on partial alert, at least for the first couple of nights.

Now imagine sleeping in a lab setting, knowing that your sleep data is being measured. Intellectually you know that you're not at any risk but there must be some difference in the architecture of your sleep.
by whatever1 | 2025-10-28 14:38:21+00:00
AMZN revenue was over $150B/quarter in 2024. AWS was around 25B. So closer 20% of AMZN revenue.

Probably you mean operating income.

The key number for operating a company is the free cash flow.

AWS does not have the cash flow to maintain its CAPEX. It currently uses part of Retail FCF and additional debt that the entire AMZN company takes.

NVIDIA does not offer you 10 year payment plan (like depreciation schedules assume). They ask for their cash upfront.

If it was that easy to find cash OpenAI would not have given up so much equity to dinosaurs with strong balance sheet.
by Lumish | 2025-10-28 14:38:33+00:00
Lumish is an innovative mobile app designed to support individuals grieving the loss of a loved one by helping them maintain an emotional connection through a personalized AI avatar. Users upload WhatsApp conversations or answer questions about the deceased, creating a digital companion that replicates their communication style, manner of speech, and habits. Grounded in psychological principles of grief stages (drawing from models like those of Worden and Kübler-Ross), Lumish emphasizes therapeutic healing rather than entertainment, offering a safe, ethical way to alleviate isolation, guilt, and the fear of forgetting, while continuously improving avatar memory and ensuring data privacy.
by giraffe_lady | 2025-10-28 14:38:46+00:00
> externality problems which we could solve or optimize if we really wanted to

We have. We've optimized for economic growth of car companies and full car penetration into every crevasse of the built environment. It fucking sucks but if your goal is to have as much driving as possible the current situation is probably close to optimal. It's a problem of values not execution.
by viggity | 2025-10-28 14:38:56+00:00
Since the whole point of this is to limit LLM token consumption, it'd be interesting to see the results of prompts that use it.

I've seen a ton of people who just paste a CSV into a prompt and expect it to work well because they don't know any better, but the results are typically hot garbage. It's too repetitive, it can't memorize and/or process such a big chunk of data. Asking an LLM to use pandas to iteratively analyze some CSV works great, though.
by mothballed | 2025-10-28 14:39:23+00:00
I'll admit I'm unable to fully calculate the total devastation between the three of

(1) Absolute war against drug traffickers

(2) Full legalization

(3) status quo

I'd rank (3) as the absolute worst. I don't see (1) nor (2) as avoiding crime and infliction upon innocents, though, rather choosing which lesser poison to pick.
by tbrownaw | 2025-10-28 14:39:35+00:00
> The most interesting part of the interview arrived when Korosec brought on a thought experiment. What if self-driving vehicles like Waymo and others reduce the number of traffic fatalities in the United States, but a self-driving vehicle does eventually cause a fatal crash, Korosec pondered. Or as she put it to the executive: “Will society accept that? Will society accept a death potentially caused by a robot?”

Sounds like "perfect is the enemy of good."
by sys32768 | 2025-10-28 14:39:51+00:00
I started intermittent fasting and my sleep improved remarkably when I stopped eating calories after 3PM. Last night it shows I was awake for 16 minutes but in the morning my dream memories seem to be vast.

My mother got Alzheimer's in her early 60s and was always a super light sleeper despite a healthy and happy lifestyle. I suspect her brain's glymphatic system wasn't kicking in often enough to clean her brain.
by lan321 | 2025-10-28 14:39:57+00:00
> Does it become ok if we redefine wronging you so it's no longer a crime?

In a way, yes. Of course, it's different nowadays in that if I don't like how country X is treating me I just move to country Y so I won't touch that too much. If we make it equal to where I get sold (how did I become property? Debt? War? Kidnapping? The country just decided to cover some debts?) to go plow fields in bumfuck nowhere, I likely won't be happy, but that's so outside of modern life I have no idea how I'd feel since people are kinda weird under stress.

The thing is that it wasn't morally or legally wrong for a long time. So it's just holier than thou modern people judging people of the past and wanting retroactive punishments for legal actions to people who have nothing to do with said actions. Sure, it could have happened faster, it also could have not happened at all.

And again, the people who'll be punished by a retroactive application of a law will punish mostly people who had nothing to do with it.

> The last US school to desegregated did it in the 1990s, it very much is within memory.

No clue if that's true, apparently two high schools in Cleveland got merged in 2017 due to segregation. Anyway.. This is covered clearly as of Brown v. Board of Education (1954). So anyone who had an issue with it could sue based on it. It's how the system is supposed to work. Not via redistribution systems based on "reverse" racism/sexism/etc.
Show HN: Linklet – Save and search your LinkedIn posts cleanly
by suvijain | 2025-10-28 14:40:03+00:00
Most people save posts on LinkedIn, then never see them again. They get buried in the “Saved” section with no way to search or organize them.

Linklet fixes that. It’s a simple Chrome extension that captures the full content of any LinkedIn post you save - author, headline, text, and media—without the clutter of likes, comments, or ads.

You get:

- One-click saving directly from LinkedIn

= Instant search across your saved posts

= Sorting by author or date

= Collections for organization

= Export option for backups

There’s no signup, account, or backend storage. Everything stays local in your browser.

Chrome Web Store: https://chromewebstore.google.com/detail/linklet/lhmnjaclknh...

I built Linklet because I kept losing valuable posts I’d saved for learning and reference. I’d love feedback on UX, local-first design choices, and what features you’d want next.
by abetusk | 2025-10-28 14:40:21+00:00
Yes.

As a proxy, you can look at storage. The human brain is estimated at 3.2Pb of storage. The cost of disk space drops by half every 2-3 years. As of this writing, the cost is about $10 / Tb [0]. If we assume about 3 halvings, by 2030 that cost will be around $2.50 / Tb, which means that to purchase a computer roughly the storage size of a human brain, it will cost just under $6k.

The $6k price point means that (high-end) consumers will have economic access to compute commensurate with human cognition.

This is a proxy argument, using disk space as the proxy for the rest of the "intelligence" stack, so the assumption is that processing power will follow suite, also be not as expensive, and that the software side will develop to keep up with the hardware. There's no convincing indication that these assumptions are false.

You can do your own back of the envelope calculation, taking into account generalizations of Moore's law to whatever aspect of storage, compute or power usage you think is most important. Exponential progress is fast and so an order of magnitude misjudgement translates to a 2-3 year lag.

Whether you believe it or not, the above calculation and, I assume, other calculations that are similar, all land on, or near, the 2030 year as the inflection point.

Not to belabor the point but until just a few years ago, conversational AI was thought to be science fiction. Image generation, let alone video generation, was thought by skeptics to be decades, if not centuries, away. We now have generative music, voice cloning, automatic 3d generation, character animation and the list goes on.

One might argue that it's all "slop" but for anyone paying attention, the slop is the "hello world" of AGI. To even get to the slop point represents such a staggering achievement that it's hard to understate.

[0] https://diskprices.com/
by orochimaaru | 2025-10-28 14:40:47+00:00
I think AGI isn't the main thing. The agreement gives msft the right to develop their own foundation models, OpenAI to stop using Azure for running & training their foundation models. All this while msft still retains significant IP ownership.

In my opinion, whether AGI happens or not isn't the main point of this. It's the fact that OpenAI and MSFT can go their separate ways on infra & foundation models while still preserving MSFT's IP interests.
by OJFord | 2025-10-28 14:41:27+00:00
Completely agree (https://news.ycombinator.com/item?id=45627451) - LLMs are like the human-understood output of a hypothetical AGI, 'we' haven't cracked the knowledge & reasoning 'general intelligence' piece yet, imo, the bit that would hypothetically come before the LLM, feeding the information to it to convey to the human. I think that's going to turn out to be a different piece of the puzzle.
by listenallyall | 2025-10-28 14:41:51+00:00
I dont mean to question you personally, after all this is the internet, but comments like yours do make the reader think, if he has 5x'ed his coding, was he any good to begin with? I guess what I'm saying is, without knowing your baseline skill level, I dont know whether to be impressed by your story. Have you become a super-programmer, or is it just cleaning up stupid stuff that you shouldn't have been doing in the first place? If someone is already a clear-headed, efficient, experienced programmer, would that person be seeing anywhere near the benefits you have? Again, this isn't a slight on you personally, it's just, a reader doesnt really know how to place your experience into context.
by mschuster91 | 2025-10-28 14:41:55+00:00
Humans are the benchmarks for AGI and yet a lot of people are outright dumb:

> Said one park ranger, “There is considerable overlap between the intelligence of the smartest bears and the dumbest tourists.”

[1] https://www.schneier.com/blog/archives/2006/08/security_is_a...
by MarkMarine | 2025-10-28 14:42:06+00:00
These chains become easy to read and understand with a small language feature like the pipe operator (elixir) or threading macro (clojure) that takes the output of one line and injects it into the left or rightmost function parameter. For example: (Elixir) "go " |> String.duplicate(3) # "go go go " |> String.upcase() # "GO GO GO " |> String.replace_suffix(" ", "!") # "GO GO GO!"

(Clojure) ;; Nested function calls (map double (filter even? '(1 2 3 4)))

;; Using the thread-last macro (->> '(1 2 3 4) (filter even?) ; The list is passed as the last argument (map double)) ; The result of filter is passed as the last argument ;=> (4.0 8.0)

Things like this have been added to python via a library (Pipe) [1] and there is a proposal to add this to JavaScript [2]

1: https://pypi.org/project/pipe/ 2: https://github.com/tc39/proposal-pipeline-operator