MurphyA/hacker-news huggingface dataset:
by m463 | 2025-08-21 17:35:18+00:00
I wonder if slide to type has any overlap with cursive writing.

I do know I unlearned a bunch of my handwriting hardwiring when I learned to use a palm pilot. It had a system called graffiti that "simplified" some letters... which ended up replacing them in my handwriting habits after a while.

https://en.wikipedia.org/wiki/Graffiti_%28Palm_OS%29
by mindcrime | 2025-08-21 17:35:35+00:00
Scaling AI will require an exponential increase in compute and processing power,

A small quibble... I'd say that's true only if you accept as an axiom that current approaches to AI are "the" approach and reject the possibility of radical algorithmic advances that completely change the game. For my part, I have a strongly held belief that there is such an algorithmic advancement "out there" waiting to be discovered, that will enable AI at current "intelligence" levels, if not outright Strong AI / AGI, without the absurd demands on computational resources and energy. I can't prove that of course, but I take the existence of the human brain as an existence proof that some kind of machine can provide human level intelligence without needing gigawatts of power and massive datacenters filled with racks of GPU's.
by VladVladikoff | 2025-08-21 17:35:38+00:00
I run a small tech startup, about 2M ARR. And at times we’ve been short staffed on support and I’ve sat in for support for a day or two. And every time I do this I discover loads of issues customers are complaining about that don’t seem to ever make it back to our engineering team. Perhaps it’s just our support reps, or the nature of support, but they seem to love to “solve” problems themselves rather than reporting it to engineering for a more permanent fix.
by pseudosavant | 2025-08-21 17:35:47+00:00
When OpenAI went from GPT-3.5-Turbo to GPT-4 it seemed massive, and there were no other steps in-between. And nobody else had a meaningful competitive model out yet.

When GPT-5 came out, it wasn't going from GPT-4 to GPT-5. Since GPT-4 there has been: 4o, o1, o3, o3-mini, o4-mini, o4-mini-high, GPT-4.1, and GPT-4.5. And many other models (Llama, DeepSeek, Gemini, etc) from competitors have been released too.

We'll probably never experience a GPT-3.5 to GPT-4 jump again. If GPT-5 was the first reasoning model, it would have seemed like that kind of jump, but it wasn't the first of anything. It is trying to unify all of the kinds of models OpenAI has offered, into one model family.
Show HN: I'm building a free Windows shortcut hub for apps,workflows and control
by CodedRebel | 2025-08-21 17:37:03+00:00
Needed something like this to do everything quickly just by using the keyboard. So I am building a small tool that acts like a command hub with powerful(programmable) shortcuts, fast search, and simple controls all in one place.

With it, I can:

Launch apps, files, or websites instantly

Create workflows (open multiple things with a single hotkey)

Control general system actions (Mic,AudioSources, volume, brightness, shutdown, etc.)

A better and more rapid search

Stay fully in keyboard mode without reaching for the mouse

It’s free and made to just get out of your way. Still Building it but soon it will be the daily driver.

If you’d like to try it early or help shape the direction, I’ve put up a waitlist here: [getriser.app]
by mothballed | 2025-08-21 17:37:28+00:00
I'd like to see intrastate commerce of plants not be interstate commerce, but until the supreme court decides otherwise most of the legal finding in Wickard v Filburn are still intact that it is interstate commerce to even grow a crop (in this case weed) on your own property and consume it even if you don't sell or transfer it.

Finding intrastate regulation of cannabis as outside of interstate commerce would basically implode most the government at this point, which I'm doubtful they would allow. The Civil Rights Act, ADA, FDA, EPA, OSHA and a myriad of other stuff all squarely rely on the same precedent that makes federal intrastate marijuana regulation legal.
by Aperocky | 2025-08-21 17:37:36+00:00
If there are zero return, then something is not being done right.

AI had led to significant operational improvements. The speed of root causing has increased by multiple times and the time spent head-desking or chasing leads have reduced significantly - even if the AI is wrong the first few times, it is recognizable that it would sometime be a rabbithole that I myself were likely to spend time - a lot longer time in.

It obviously cannot do these things by itself because it can arrive at the wrong conclusion all the time and be pretty stubborn about it, but at the same time to say there are no benefit is like throwing a bike away because you fell riding it the first time and go back to walking.
by lljk_kennedy | 2025-08-21 17:37:43+00:00
Thank you, I came to say this too. You're mushing your humans harder, and they'll break. Those 5 mins of downtime post-call aren't 100% note taking - it's catching their breath, trying to re-compose after dealing with a nasty customer, trying to re-energise after a deep technical session etc.

I think AI in general is just being misused to optimise local minima in detriment to the overall system.
by renewiltord | 2025-08-21 17:37:50+00:00
If you don't want to receive data, don't. If you don't want to send data, don't. No one is asking you to receive traffic from my IPs or send to my IPs. You've just configured your server one way.

Or to use a common HN aphorism “your business model is not my problem”. Disconnect from me if you don’t want my traffic.
by reactordev | 2025-08-21 17:37:58+00:00
That's not even remotely true. Anything over 12 bottles requires permits. There's also open container laws, federal laws like you can't bring it to a state where sales are prohibited. State Troopers will cite you for anything over a gallon in some states.

I'm all for freedom, but there has to be some limits to protect the general public from complete marijuana anarchy.
by drflosteiner | 2025-08-21 17:37:58+00:00
I built this after getting frustrated with constantly re-googling TouchBar restart commands. As a consultant who uses MacBooks daily, I knew the terminal solutions existed, but could never remember the exact syntax when I needed it.

What started as "I'll just create a simple GUI wrapper, should take 3 hours" became a week-long adventure. I thought it would be a quick AI prompt to Claude: "Build me a TouchBar fix app." Reality hit hard.

The journey was a masterclass in underestimating complexity: - Prototype worked in 30 minutes (I got cocky) - Then security warnings everywhere - "unidentified developer" - Learned about code signing, notarization, and hardened runtime - GitHub Pages SSL mysteriously broke after repo rename - Had to migrate to Vercel mid-launch - CI/CD pipeline failed with deprecated GitHub Actions - Tests worked locally but failed on GitHub runners - Xcode created workspace files in the wrong directories after renaming - Binary needed to be universal (Intel + Apple Silicon) - App Store requirements vs direct distribution differences

Each "simple" fix revealed three new problems. But honestly? I learned more about macOS development in a week than I thought possible, thanks to Claude Code as my patient coding mentor.

Core functionality is straightforward - it runs the same `sudo killall ControlStrip` and related commands that fix TouchBar issues, but with proper error handling and user feedback.

While I await Apple Developer Program approval for code signing, I'm releasing it as a free Founders Edition for 48 hours. After that, it'll be a paid app (€0.99 initially, then €6.99).

Feedback welcome, especially from other non-developers who've tackled similar automation projects with AI assistance.
by jchw | 2025-08-21 17:38:08+00:00
Definitely contextually dependent: things like news articles are probably the gold standard for machine translation, but creative works and particularly dense reading material like novels seem like they will remain a tougher nut to crack for even LLMs. It's not hopeless, but it's definitely way too early for anyone to be firing all of their translators.

> It's capable of just dropping out entire paragraphs.

I suspect, though, that issues like this can be fixed by improving how we interface with the LLM for the purposes of translation. (Closed-loop systems that use full LLMs under the hood but output a translation directly as-if they are just translation models probably already have solved this kind of problem by structuring the prompt carefully and possibly incrementally.)
by sumo86 | 2025-08-21 17:38:11+00:00
AI achieved around 90% accuracy, which is impressive for foundational code generation (at least for a web development project). However, the remaining 10% required real programming knowledge and critical evaluation. You must understand that blindly copying AI-generated code leads to inefficient code and maintenance problems. The reality? AI excels at boilerplate generation and basic structure, but complex debugging, performance optimization, and domain-specific requirements still need human expertise.
by svara | 2025-08-21 17:38:11+00:00
> As was said, the engineering task is identifying the problem and decomposing it.

In my experience if you do this and break the problem down into small pieces, the AI can implement the pieces for you.

It can save a lot of time typing and googling for docs.

That said, once the result exceeds a certain level of complexity, you can't really ask it to implement changes to existing code anymore, since it stops understanding it.

At which point you now have to do it yourself, but you know the codebase less well than if you'd hand written it.

So, my upshot is so far that it works great for small projects and for prototyping, but the gain after a certain level of complexity is probably quite small.

But then, I've also find quite some value in using it as a code search engine and to answer questions about the code, so maybe if nothing else that would be where the benefit comes from.
by chasd00 | 2025-08-21 17:38:33+00:00
I remember the first dot com bust, you could find Herman Miller Aerons (the stereotypical inet-startup-guy chair) super cheap as well as fairly large Cisco 6509 routers and ...i think it was Sun Fire 15ks lol. I look forward to getting some nice GPUs at a discount.

idk what a person would do with a 6509 or a Sun Fire hah but they were all over craigslist iirc.
by LPisGood | 2025-08-21 17:39:03+00:00
Is anyone else surprised by how poorly performing the results are for the vast majority of cases? The foundation model which had access to sensor data and behavioral biomarkers actually _underperformed_ the baseline predictor that just uses nonspecific demographic data in almost 10 areas.

In fact, even when the wearable foundation model was better, it was only marginally better.

I was expecting much more dramatic improvements with such rich data available.
by bikenaga | 2025-08-21 17:39:18+00:00
Summary from the paper:

"The paper focuses on the slippage in the net worth ratio among households under age 35 relative to all households between 1983 and 2022 and its phenomenal rise among households aged 75 and over. Based on differential leverage between the two groups (the much higher debt- net worth ratio among younger families compared to older ones), we would have expected exactly the opposite – namely, that the net worth of younger households should have risen relative to older ones. Indeed, the average real rate of return on net worth of the youngest age group over years 1983-2022 was 5.67 percent while that of the oldest was 3.29 percent. What factors explain these seemingly perverse results?

The first is increasing net home equity for the elderly. The increase in the ratio of mean net home equity to the overall level over 1983- 2022 explains a substantial 38.3 percent of the relative gain in net worth of the 75 and over age group but very little for that of the youngest group. The second is surging mortgage debt among the youngest households. This explains 297 percent (.160/.054), of the actual decline in the group’s mean net worth ratio – that, is almost three times the actual decline. Its relative decline also accounts for a significant 35.2 percent of the increase in the oldest group’s mean net worth ratio. However, it should be stressed that these results are not additive across the various factors considered in the analysis.

Third, the homeownership rate might well be close to a “smoking gun” for the oldest age group. It shoots up by 11.5 percentage points for this group, and the group’s relative wealth holdings expand by a sizeable 50.4 percent. Likewise, relative to the overall average homeownership rate, that of the oldest enlarges by 8.9 percentage points from 6.0 to 14.9 percent. The fourth is the fantastic growth in stock holdings among the oldest age group, which could constitute another smoking gun. The value of the group’s stock portfolio relative to the overall average skyrockets from 0.56 to 3.47, which accords with the sharp increase in its relative net worth, and accounts for a staggering 269 percent of its gain in net worth relative to the overall average.

Fifth, among the youngest age group, despite dire press reports, educational loans fail to appear as a significant factor. As a fraction of overall mean student debt, it actually fell from 2.45 in 2007 (the first date of available data) to 1.66 in 2022, so that the trend is contrary to that of the group’s relative net worth. Moreover, subtracting the change in the group’s mean educational debt over 2007- 2022 from its 2007 net worth ratio lowers the group’s mean net worth ratio by a rather trivial 0.006.”
by htrp | 2025-08-21 17:39:52+00:00
This is an upsize of the previously reported 5bn round.

>Anthropic was in advanced discussions to raise up to $5 billion in the round at a $170 billion valuation. The amount increased significantly due to strong investor demand, the people said.

>Investment firm Iconiq Capital is leading the round, Bloomberg News has reported. Other expected participants include TPG Inc., Lightspeed Venture Partners, Spark Capital and Menlo Ventures, according to people familiar with the matter. Anthropic has also held discussions with the Qatar Investment Authority and Singapore’s sovereign fund GIC about joining the round.
by JustExAWS | 2025-08-21 17:40:07+00:00
That’s the advantage of working with AWS services, everything is well documented with plenty of official and unofficial code showing how to do most things.

Even for a service I know is new, I can just tell it to “look up the official documentation”

Using ChatGPT 5 Fast

AWS CDK apps (separate ones) using Node

- EC2 (create an instance)

- Aurora MySQL Serverless v2

- Create a VPC with no internet access - the EC2 instance was used as a jump box using Session Manager

- VPC Endpoints for Aurora control plane, SNS, S3, DDB, Bedrock, SQS, Session Manager

- Lambda including using the Docker lambda builder

- DDB

- it also created the proper narrowly scoped IAM permissions for tfe lambdas (I told it the services the Lambdas cared about)

The various Lambdas in Python using Boto3

- Bedrock including the Converse and Invoke APIs for the Nova and Anthropic families

- knowing how to process SQS Messages coming in as events

- MySQL flavored SQL for Upserts

- DDB reads

In another project the services were similar with the addition of Amazon Transcribe.
by arduanika | 2025-08-21 17:40:25+00:00
Index funds aren't supposed to save you from a market setback. In a correction or crash, you will lose money. They merely save you from the total ruin that can come with leverage, or from thinking you can outplay the stocks or options market as an amateur.

I'm glad to see OP's comment voted to the top, b/c it models good thinking. He knows what he doesn't know, and so he sticks to index funds.

Also -- I don't know anybody who still buys S&P 500 funds, now that there are broader funds available. None of the funds for Canadians that GP listed is limited to the S&P 500, so it's unclear why you would respond as if that's the index he's talking about.
by s_gourichon | 2025-08-21 17:40:44+00:00
Be wary about using an AI that rejects a simple PR (change "return str;" into "return ptr;") based on false statements ("Your PR contains a critical error — the complete removal of return statements from the u_utoa function."). Details on https://github.com/Ferki-git-creator/Uprintf/pull/3#issuecom...

I encourage you to continue working on your projects.
by em-bee | 2025-08-21 17:40:49+00:00
i learned kurrent out of interest but also to improve my handwriting. the straight lines and sharp corners are a lot easier to write than the round lines of regular hand writing so i got good results with less effort than with regular handwriting which eventually motivated me to improve my regular hand writing too. i also had access to a collection of old dip pens with various types of nibs allowing me to really duplicate the writing style of the time, if only at primary school level. eventually i adapted my signature too, but unlike you i never got any backslash for that.
by tombert | 2025-08-21 17:41:03+00:00
The biggest blocker for me would be that I would go through a "Getting Started" guide and that would go well until it doesn't. Either there would be an edge case that the guide didn't take into account or the guide would be out of date. Sometimes I would get an arcane error message that was a little difficult to parse.

There were also cases where the interesting part of what I'm working on (e.g. something with distributed computing) required a fair amount of stuff that I don't find interesting to get started (e.g. spinning up a Kafka and Zookeeper cluster), where I might have to spend hours screwing around with config files and make a bunch of mistakes before I get something more or less working.

If I was sufficiently interested, I would power through the issue, by either more thoroughly reading through documentation or searching through StackOverflow or going onto a project IRC, so it's not like I would never finish a project, but having a lower barrier of entry by being able to directly paste an error message or generate a working starter config helps a lot with getting past the initial hump, especially to get to the parts that I find more interesting.
by lostlogin | 2025-08-21 17:41:12+00:00
I had a list of things I wanted: I have limited space so needed a small form factor. I am on solar and wanted power usage to be low. I wanted 10Gb Ethernet.

It’s on a smart plug, so I can power cycle it remotely.

The hardware is far superior to any Nuc, I have at 4 or 5 of those already, I really like them. MacOS is a struggle, but I think I’ve tamed it.

I wasn’t the one paying.
by lawlessone | 2025-08-21 17:41:43+00:00
I feel like the giant 100 mil /1 billion salaries could have been better spent just hiring a ton of math, computer science, data science graduates and just forming an an AI skunkworks out of them.

Also throw in a ton of graduates from other fields/sciences, arts, psychology, biology, law , finance, or whatever else you can imagine to help create data and red team their fields.

Hiring people with creative writing and musical skills to give it more samples of creative writing and song writing, summarization etc

And people that are good at teaching and breaking complex problems into easier to understand chunks for different age brackets.

Their userbase is big but it's not the same as ChatGTP's, they won't get the same tasks to learn from users that chatgpt does.
by lotyrin | 2025-08-21 17:41:56+00:00
You justify surveillance in the wake of terrorist attacks, etc. and when public sentiment toward government is mostly good (the financial surveillance here is an example)

You make moves to constrict the available information and permitted behavior of residents and citizens in excess of what is defined by law through pressure on culture and public marketplaces, etc. and not legal action by government. (e.g. the stuff going on with erotic content on Steam recently, but not limited to stuff like that). You start with more questionable and controversial things like e.g. sexually explicit content, then progress to all content or ideas that are inconvenient to your regime.

You boil the frog of authority over the public at a rate where only a minority starts noticing problems and looking for solutions in educating themselves using politically inconvenient media (and flagging themselves as enemies in the surveillance tools) or taking action that is inconvenient to you

You start making court cases against these inconvenient people and start deporting them or incarcerating them. First with e.g. illegal immigrants or foreign national students that are saying things that are unpopular, but slowly escalate to all the people that disagree with you.

If you don't think all these things are well established, I'm not sure what to tell you.
by czhu12 | 2025-08-21 17:42:55+00:00
As much as I also want to jump on the ai bubble bandwagon (who doesn’t love a good bit of pessimism), I’m still mind blown daily by how these models operate.

I recently ported over a fastapi app to Django with Claude code and it was at least twice as fast as I probably would’ve been able to do myself, and I only had to somewhat pay attention. What would’ve been a pretty intense few days turned into about 2 hours of mindless work while tens of thousands of lines were ported over, tested, and refactored
by feoren | 2025-08-21 17:42:59+00:00
> Or you could recognize that "essential" has a meaning in economic/financial terms

I do not recognize that. That is the point of my argument. A large portion of economics is rich people trying to justify their own greed as being moral. Classifying goods as "essential" vs. "non-essential" is a way of telling poor people what they're allowed to have, and always has been. A good goes from "non-essential" to "essential" only when rich people are worried they'll get guillotined if the poor don't have access to it.

I'm aware that it has a definition in terms of what people are able to stop purchasing when their income goes down, or how consumption relates to income levels in general, but the former is a problematic definition for many reasons, and the latter does not actually coincide particularly well with the categories of goods people list off when they think of "essential goods". Humans in real life just don't respond to changing conditions the same way the little econs in your head do; they way you've decided they "should".

Ever heard that humans don't "behave logically"? Yeah, that's economists with overly simplified models being annoyed that (mostly) poor people don't act the way that they've decided poor people should act. See the trend?

Ask four economists write out a list of "essential goods" and you'll get five different lists. That is not how definitions work. Ask four mathematicians whether something is a Commutative Ring or not and they'll all agree. That's a definition. "Essential" does not have a definition. Its meaning shifts depending on which group the author of the Wall Street Journal op-ed you're reading wants to villainize this time.
by reactordev | 2025-08-21 17:43:05+00:00
how many tables? is it manageable and interesting like trying to squeeze 2b records into postgres or what?

Also lucidchart is just draw.io fyi - you don't need a license unless you need the file sharing aspect and I feel like it belongs closer to the code.

I'm just generally curious what others' process is for this as the only meetings I've had in the last 5 years were who was getting cut.
by PaulHoule | 2025-08-21 17:43:07+00:00
I always thought Weinstein was a creep but he’s a physics crackpot too? Sad that Hossenfelder got involved but it’s so strange to see the spectrum of outsiders and insider-outsiders and outsider-insiders that showed up for that. Never saw a real physicist threaten a lawsuit over criticism but the paranoid and delusional do it all the time.