MurphyA/hacker-news huggingface dataset:
by kirin_memorang | 2025-08-08 18:53:52+00:00
Memorang (AI-powered EdTech stack) | Full-Time | Remote

Our mission: Build the AI stack for education—an agentic framework to launch, monetize, and power learning apps 50× faster. We bootstrapped to profitability, were voted #1 among 1,500 in the Vercel AI Accelerator, and collectively reach tens of millions of learners.

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Open Roles:

Full-Stack Engineers: Work on mission-critical, rapid POCs to MVPs using TypeScript, React/Next.js, AWS Lambda, Postgres, and Neo4j. Help shape infrastructure and UI for bleeding-edge AI-powered features.

Senior AI Agents Engineers: Own modular agent architecture, RAG pipelines, and LangGraph-based systems in TypeScript/Node.js. Architect reasoning layers, agent memory, and performance tuning for intelligent learning agents.

Product Designers: Design intuitive UX/UI for AI-powered content creation and learning tools. Collaborate closely with engineers on fast-moving features. We're looking for Figma power users who think in systems, move quickly, and have a portfolio of clean, polished, shipped work.

Technical Product Manager: Define schemas, APIs, and workflows that bridge AI research to production. Own developer tooling, agent orchestration layers, and internal platforms like Linear/Notion. Drive clarity, velocity, and scalability across multi-agent, LLM-powered systems.

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Why Memorang?

Remote-first, async-friendly team with flexible hours

Health & wellness stipends, home-office support, paid time off

Opportunity to ship systems used by millions—at a built-for-speed profitable startup.

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Apply here: https://memorang.com/careers

Or email careers@memorang.com with your CV, a short note (1–3 sentences) about which role excites you and why, and a link to your best project or portfolio.

Looking forward to seeing who’s inspired by shaping the future of learning.
by lotuslabs | 2025-08-08 18:54:01+00:00
Hey everyone!

I recently started working on an app that can scan photos and videos, find license plates, faces, and tattoos and remove them with the click of a button! the idea is to help people easily find and remove identifiable elements from photos and videos to make posting content online just a little more private.

We are very new so we are looking for more testers to sign up for our private beta test that starts August 24th. We will be giving free usage tokens to all beta users who sign up before the 24th!
by simonw | 2025-08-08 18:54:50+00:00
No, GPT-4o has not been renamed to gpt-5-main. gpt-5-main is an entirely new model.

I suggest comparing https://platform.openai.com/docs/models/gpt-5 and https://platform.openai.com/docs/models/gpt-4o to understand the differences in a more readable way than that system card.

GPT-5: 400,000 context window 128,000 max output tokens Sep 30, 2024 knowledge cutoff Reasoning token support GPT-4o: 128,000 context window 16,384 max output tokens Sep 30, 2023 knowledge cutoff

Also note that I said "consumer ChatGPT account". The API is different. (I added a clarification note to my post about that since first publishing it.)
by UncleMeat | 2025-08-08 18:56:08+00:00
Anybody can legally buy stock.

It is substantially more difficult to acquire a large amount of stock if you don't earn a lot of money, since there is naturally far less leftover after your expenses are paid.

And further, stock can be purchased with dividend payments. So the rich can afford an ever increasing piece of the pie even if they don't labor at all.
by tharne | 2025-08-08 18:56:20+00:00
> "47% of Republicans would still vote for Trump even if implicated in Epstein's crimes"

Two things here.

One, I bet it's WAY higher than 47% who would vote for Trump again; it's 47% of Republicans admitting in a survey that they would vote for him again, the rest probably just don't want to admit it out loud.

Two, would you expect something different from Democrats? I wouldn't. I would bet anyone running against Donald Trump would start off with roughly 45% of the vote no matter who they were or what they did. That's just where we're at as a country culturally and politically at the moment.
by mfrye0 | 2025-08-08 18:57:17+00:00
To be frank, that's the challenge we're working on now. To start, my partner and I were mostly tapping into our network for initial customers. Both of us have been in the Bay Area for 10+ years.

Now, we're working on more of an inbound strategy and have a bunch of ideas. We're debating on cold emailing, but as an engineer myself, I hate getting cold emails.
by avidiax | 2025-08-08 18:57:26+00:00
Copyright is a deal society has made to advance the arts and sciences. We get more innovative media of all kinds, and in exchange, we pay for the government's policing of the right to copy.

I'm not AI optimist or booster, but AI is an advancement in the arts and sciences, despite all the risks and downsides. AI is a derivative work from all digitized media.

There's an argument to be made that the AI companies should borrow a copy of every book, rent every movie, etc. But the money accruing to the owners of those copyrights would be marginal, and even summing over all those individual copyright claims, I'd say that the societal benefit to AI is greater.

Maybe it's time that we have compulsory licensing the way that radio can license music to play. As training data for AI, a compulsory license, in principle, should be quite cheap, on par with renting that media.

The bigger question is to what extent AI will tend to make other media obsolete. We are already seeing this with AI summaries in web search undermining the search results themselves. I don't have an answer to that, except to say that severely restricting the training data available to AI is not very helpful.
by quantummagic | 2025-08-08 18:57:27+00:00
> First of all, AMD's support for their AI stuff is... okay. But not great. And that means I spent more time in my testing debugging ROCm driver and library issues than actually testing.

Why the hell can't AMD get their act together? The continued software issues are costing them A LOT of money. It simply must be the lowest hanging fruit toward increasing their market share and revenue.
by techpineapple | 2025-08-08 18:57:58+00:00
I’ve noticed inconsistencies like this, everyone said that it couldn’t count the b’s in blueberry, but it worked for me the first time, so I thought it was haters but played with a few other variations and got flaws. (Famously, it didn’t get r’s in strawberry).

I guess we know it’s non-deterministic but there must be some pretty basic randomizations in there somewhere, maybe around tuning its creativity?
by dragonwriter | 2025-08-08 18:58:33+00:00
> I wonder how much of the '5 release was about cutting costs vs making it outwardly better. I'm speculating that one reason they'd deprecate older models is because 5 materially cheaper to run?

I mean, assuming the API pricing has some relation to OpenAI cost to provide (which is somewhat speculative, sure), that seems pretty well supported as a truth, if not necessarily the reason for the model being introduced: the models discontinued (“deprecated” implies entering a notice period for future discontinuation) from the ChatGPT interface are priced significantly higher than GPT-5 on the API.

> For companies that extensively test the apps they're building (which should be everyone) swapping out a model is a lot of work.

Who is building apps relying on the ChatGPT frontend as a model provider? Apps would normally depend on the OpenAI API, where the models are still available, but GPT-5 is added and cheaper.
by magicalhippo | 2025-08-08 18:58:59+00:00
As I understand it, a big issue for KiCAD is that it's old, so they went with WxWidgets as Qt wasn't a viable option[1].

It's also a conglomerate of executables, so focus transfer often won't be between windows in the same process, but windows in different processes.

[1]: https://forum.kicad.info/t/what-is-the-future-of-wxwidgets/2...
by kranke155 | 2025-08-08 18:59:29+00:00
I started doing this thing recently where I took a picture of melons at the store to get chatGPT to tell me which it thinks is best to buy (from color and other characteristics).

chatGPT will do it without question. Claude won't even recommend any melon, it just tells you what to look for. Incredibly different answer and UX construction.

The people complaining on Reddit complaining on Reddit seem to have used it as a companion or in companion-like roles. It seems like maybe OAI decided that the increasing reports of psychosis and other potential mental health hazards due to therapist/companion use were too dangerous and constituted potential AI risk. So they fixed it. Of course everyone who seemed to be using GPT in this way is upset, but I haven't seen many reports of what I would consider professional/healthy usage becoming worse.
by jart | 2025-08-08 18:59:38+00:00
Every author should have the right to have their work remembered and immortalized by AI. We should have the right to influence how AI thinks by publishing our content. AI should remember our names, and the stories of how our work was produced, so it can remember who we are and how we helped it. This is how AI democracy works. The people trying to financially ruin the AI industry by demanding unreasonable amounts of money for themselves, are threatening these fundamental human rights. If the legal risk becomes too large, then the AI labs will respond by training only on synthetic content. That means only AI will get to shape AI's future, and humanity will be erased from the book of life.
by cestith | 2025-08-08 18:59:48+00:00
Go has a much different set of design goals than Zig, Nim, or especially Rust. Go is really for people who want a few major improvements on C like easier builds, faster builds, higher-level standard string handling, direct support for some form of concurrency, an optional GC which defaults to on, and a few syntax tweaks - things that a modern C might have that were not going to make it into a standards revision. Rust, to support ownership and the borrow checker at compile time, had to build a useful language around that hugely helpful but quite restrictive requirement. They subsequently went different directions than the Go team on a lot of the other language features. Zig, Nim, and D are something in between those extremes in their own ways.

As someone with a background of a lot of time with Perl and the Pascal/Ada family who was rooting for Julia, Go strikes a good balance for me where I would have used Perl, Python, Julia, Ruby, or shell for system tasks. I haven’t done a lot of work in Rust yet, because in the infrastructure space speed to implement is usually more important than performance and Go is a lot faster already than Python or Ruby and because my team as a whole has much more experience with it. I certainly appreciate why the folks at work who do the performance-critical network and video software use mostly Rust to do what they used to do in C, Java, or C++.
by bananalychee | 2025-08-08 19:00:04+00:00
Except consumption correlates with income and wealth, and it's already not uncommon for states to exempt necessities like food and clothing from taxation, which keeps them affordable without a convoluted bureaucratic system. Implemented correctly, consumption taxes are less regressive than property taxes, which prop up rents and constitute a barrier to home ownership for working class people.

There are arguments to be made against heavily taxing consumption to encourage economic activity, but you're oversimplifying this by disregarding the indirect costs of alternatives and looking for problems instead of solutions. Not that I think the one you commented on is a good one.
by ImPostingOnHN | 2025-08-08 19:01:23+00:00
It's mathematically coherent, but it's value relies upon the assumption that we are already spending thousands out of pocket (but it's not taxed).

I prefer the option of don't spend thousands out of pocket, pay taxes on the unspent income. If I'm paying 100% of my healthcare costs, what good is the health insurance?

Here I think it boils down to whether one thinks it's okay for everybody to spend tens of thousands of dollars per year on medical care, as long as they (probably) aren't bankrupted.

If so, then they are probably more likely to view "don't bankrupt me bro" as the use case for health insurance, rather than "I need affordable medical care".
by russellbeattie | 2025-08-08 19:01:32+00:00
I could respond in detail to each pedantic item, but you seem knowledgeable enough to know them already, so here's a summary: There's plenty of non-SCOTUS laws that have been ignored. The gerrymandering is being nationally coordinated. Comparing Trump to Hoover is farcical and you know it.

The word "histrionic" is what really got me though. We're well past the stage where anyone deeply cynical about the state of things and the foreseeable future can be accused of histrionics. And we're way beyond any previous historical analogies.

My whole point is that the damage to the country is permanent. Whether it'll eventually destroy the Union has yet to be determined.
by nuancebydefault | 2025-08-08 19:01:34+00:00
People always insist that any tool must do things right. They as well insist that people do things right.

Tools are not perfect, people are not perfect.

Thinking that LLMs must do things right, that people find simple, is a common mistake, and it is common because we easily treat the machine as a person, while it only is acting like one.
by seanwilson | 2025-08-08 19:01:51+00:00
Only a relatively small part of Wikipedia has semantic markup though? Like if the article says "_Bob_ was born in _France_ in 1950" where the underlines are Wikpedia links, you'll get some semantic info from the use of links (Bob is a person, France is a country), but you'd be missing the "born" relationship and "1950" date as these are still only raw text.

Same with the rest of articles with much more complex relationships that would probably be daunting even for experts to markup in an objective and unambiguous way.

I can see how the semantic web might work for products and services like ordering food and booking flights, but not for more complex information like the above, or how semantic markup is going to get added books, research articles, news stories etc. that are always coming out.
by 1vuio0pswjnm7 | 2025-08-08 19:02:06+00:00
"I always associated semantic web with something Google was pushing to assist with web crawling, and my first exposure to it was during the Web 2.0 era (early 2010s) as HTML5 was seeing adoption, and I always associated it with Google trying to enhance the web as the application platform of the future."

This sounds more like "indexing" than "crawling"

The "Sitemaps 0.84" protocol , e.g., sitemap.xml, was another standard that _was_ introduced by Google

Helpful for crawling and other things

(I convert sitemap.xml to rss; I also use it to download multiple pages in a single TCP connection)

Not every site includes a sitemap, some do not even publish a robots.txt
by JKCalhoun | 2025-08-08 19:02:46+00:00
I caught them when hitch-hiking from Alaska down to the lower-48 when I was 20 or so. I was also partly sleep deprived but the experience has haunted my dreams since.

Frequently after I would have dreams where wild displays of light (sometimes nebulae) covering the entire night sky, hanging over me — making me feel so small compared to the universe.

I've told my daughters to travel where they have to so that they see them at least once in their lifetime. And I mean the full on blazing in the night sky: crossfading, the colors....

I think I might rank them higher than seeing a full eclipse.
by UncleMeat | 2025-08-08 19:02:52+00:00
I don't think desires are created from nothing. Exposure can amplify things. Somebody with an interest in dubious consent could move towards ever more violent nonconsent in their porn choices via its availability. In a much less extreme way, we do see changes in people's real life choices regarding sex acts being influenced by pornography as these sex acts have become more accessible in porn (choking, anal sex, and facials are commonly cited). This suggests that porn is changing behavior rather than simply responding to preexisting desires.
by tosh | 2025-08-08 19:03:18+00:00
sama: https://x.com/sama/status/1953893841381273969

"""

GPT-5 rollout updates:

We are going to double GPT-5 rate limits for ChatGPT Plus users as we finish rollout.

We will let Plus users choose to continue to use 4o. We will watch usage as we think about how long to offer legacy models for.

GPT-5 will seem smarter starting today. Yesterday, the autoswitcher broke and was out of commission for a chunk of the day, and the result was GPT-5 seemed way dumber. Also, we are making some interventions to how the decision boundary works that should help you get the right model more often.

We will make it more transparent about which model is answering a given query.

We will change the UI to make it easier to manually trigger thinking.

Rolling out to everyone is taking a bit longer. It’s a massive change at big scale. For example, our API traffic has about doubled over the past 24 hours…

We will continue to work to get things stable and will keep listening to feedback. As we mentioned, we expected some bumpiness as we roll out so many things at once. But it was a little more bumpy than we hoped for!

"""
by tcdent | 2025-08-08 19:03:20+00:00
I'm constantly tempted by the idealism of this experience, but when you factor in the performance of the models you have access to, and the cost of running them on-demand in a cloud, it's really just a fun hobby instead of a viable strategy to benefit your life.

As the hardware continues to iterate at a rapid pace, anything you pick up second-hand will still deprecate at that pace, making any real investment in hardware unjustifiable.

Coupled with the dramatically inferior performance of the weights you would be running in a local environment, it's just not worth it.

I expect this will change in the future, and am excited to invest in a local inference stack when the weights become available. Until then, you're idling a relatively expensive, rapidly depreciating asset.
by jjani | 2025-08-08 19:04:37+00:00
My chats so far have been similar to yours, across the board worse than o3, never better. I've had cases where it completely misinterpreted what I was asking for, a very strange experience which I'd never had with the other frontier models (o3, Sonnet, Gemini Pro). Those would of course get things wrong, make mistakes, but never completely misunderstand what I'm asking. I tried the same prompt on Sonnet and Gemini and both understood correctly.

It was related to software architecture, so supposedly something it should be good at. But for some reason it interpreted me as asking from an end-user perspective instead of a developer of the service, even though it was plenty clear to any human - and other models - that I meant the latter.
by tibbar | 2025-08-08 19:05:14+00:00
With major redesigns, you often can’t directly compare the two versions —- they are different enough that you actually want people to use them in a different way. So it’s not that the new version is “worse”, it’s just different, and it’s possible that there are some workflows that are functionally impossible on the new version (you’d be surprised how easy it is to mess this up.)
by jauntywundrkind | 2025-08-08 19:05:16+00:00
Good news: USB4 mandates a direct host-to-host connectivity! Something it brought in from Thunderbolt. Hypothetically that should be 40Gbit connections, readily available.

There's some folks who use this for clustering. Here's a reddit around Mac systems. The top link is to a really not great hub-spoke model usage (not everyone has BGP skills alas). I've linked to that, 19m35s in. https://www.reddit.com/r/MacStudio/comments/1mc1z0s/anyone_c... https://youtu.be/Ju0ndy2kwlw?t=19m35s

I do hope that CXL 3.1 with its host to host capability makes gluess scale out easier. It's hyped as being for accelerators and attached memory, but having a much lower overhead RDMA capable fabric in every PCIe+CXL port is very very alluring. Can't come soon enough! Servers at first and maybe I'm hopelessly naive here but I do sort of expect it to show up on consumer too.
by imchillyb | 2025-08-08 19:05:26+00:00
The power of a system does not lie within its mechanisms, systems, and strategies.

The power of a system allows one -near infinite- ability to create and manipulate those mechanisms, systems, and strategies.

The most powerful systems have few safeguards or rails, and user beware.

The most restrictive systems we hand to grandma and grandpa, knowing there is little they can actually do with them.
Security alerts in Gmail. What a mess
by chrisjj | 2025-08-08 19:06:10+00:00
I click this alert's (i):

[url]https://i.imgur.com/w0a3M3k.png[/url]

then here:

https://i.imgur.com/sNZXtHG.png

below "Security alerts in Gmail" I click "Learn more about this alert".

This lands on a page having nothing about this alert.

Hmm. I search web, find this [url]https://guidebooks.google.com/online-security/account-hacked/verify-security-alert[/url] and read:

"All genuine security alerts from Google are listed on the Security page of your Google Account."

I go there. This alert is absent.

So ... this security alert in Gmail is not a genuine security alert from Google??

What a mess.
by mrweasel | 2025-08-08 19:06:40+00:00
> AI is not a triumph of elegant design, but a brute-force workaround

I think the author is on to something here, but does not realize it, or applies the think to the wrong problem. The issue isn't the web, search was good enough and it's a pretty big problem to solve. We need to go smaller. Applying AI to customer service, internal processes and bureaucracy, among other things, is an inelegant brute-force approach to not just fixing your shit.

The majority of customer service could be fixed by having better self-service, designing better UIs, writing better manuals, having better monitoring, better processes, better trained staff, not insisting on pumping stock numbers and actually caring about your product. AI will never fix the issues your customers are having, they'll just make customer service cheaper and worse because just like real humans the content and levers they need aren't available.

Same for much of the bureaucracy in companies and governments. Rather than having AI attempt to fill out forms or judge if someone is entitled to a pension, insurance pay out or what have you. Take the time to fix your damn processes and built self-service portals that actually works (some of those may have some sort of AI on the backend for things like scanning documents).

Forget the semantic web thing, it never worked, to much data, and AI generated content certainly isn't making the problem easier. Let's work on that at some other time. Still the author is correct, LLMs are a brute-force workaround, regardless of how elegant the design may be. They are applied to a host of problem that should just be eliminated, not hidden and stupefied by a prediction engine.
by looping__lui | 2025-08-08 19:06:51+00:00
I would never again found a company in Germany - not because of the super high tax or these arbitrary rules like you need to pay insane amounts to the Chamber of Industry and Commerce (IHK) or the GEZ for radios you don’t have; but: dealing with the bureaucracy and the tax authorities is just insane. Like you are required to pay a registered tax accountant do your books then they have “screenings” where you PAY him again to check his work and explain it to the IRS - only to find you missed paying 13.09 EUR of social security for the artist guild. Spent 5k in tax advisory fees and countless working days dealing with the questions over 13 EUR.