MurphyA/hacker-news huggingface dataset:
by asimmon | 2025-08-08 17:06:59+00:00
Author again here. I'm sorry to hear this. I wrote the whole thing in a mix of French and English (mostly English), and yes, it went through an LLM, but only to correct mistakes and translate French parts. I'm limited in my ability to write beautiful/delightful blog posts as English is not my main language.

Using an LLM wasn't about rewriting the whole thing, many sentences were left as before, so the style is definitely mine. It's okay if you don't like it, I'm trying to get better at it!
by h4ny | 2025-08-08 17:07:12+00:00
I have been seeing different people reporting different results with different tasks. Watched a live stream that compared GPT-5, Gemini Pro 2.5, Claude 4 Sonnet, and GLM 4.5, and GPT-5 appeared to not follow instructions as well as the other three.

At the moment it feels like most people "reviewing" models depends on their believes and agenda, and there are no objective ways to evaluate and compare models (many benchmarks can be gamed).

The blurring boundaries between technical overview, news, opinions and marketing is truly concerning.
by tempfile | 2025-08-08 17:07:13+00:00
This take is very naive and should anticipate the obvious criticism: people did try, very very hard, to create structured information systems. They simply did not work. The sort of systems people tend to build are well-scoped for a particular problem, but fall apart completely when moving out of that domain. It is very easy to imagine an information system that results in correct answering of flag questions. It is a wide open problem to come up with a way of tagging information that works well for flag questions and for questions about memes, or art. It's not like Google didn't try!
by surround | 2025-08-08 17:07:15+00:00
> The betting markets were not impressed by GPT-5. I am reading this graph as "there is a high expectation that Google will announce Gemini-3 in August", and not as "Gemini 2.5 is better than GPT-5".

This is an incorrect interpretation. The benchmark which the betting market is based upon currently ranks Gemini 2.5 higher than GPT-5.
by pimlottc | 2025-08-08 17:07:33+00:00
As mentioned in yesterday's article [0], they can't be used because they haven't been mapped to a Unicode code point:

> (A note on most of these characters is that they don't actually map to any defined Unicode code point; they are unconnected glyphs. Font Book will show them but you can't really copy them anywhere. A tool like Ultra Character Map will let you at least grab a graphical representation and paste it somewhere, as I have done here.)

0: https://tenfourfox.blogspot.com/2025/08/mac-history-echoes-i...
by lbhdc | 2025-08-08 17:07:41+00:00
This is pretty neat. I gave it a single sentence to describe a Saas that uses forbidden magic and astral talismans to boost client efficiency, and maximize their objectives.

It created a landing page and a questionnaire to funnel people into email collection.

The landing page looked the best, a gradient with some pretty funny/clever copy related to my prompt. If I was making this for real, I would want more. Some images, more copy about my products, maybe even some animations.

The questionnaire pages felt plain, and could use some styling. It also felt like there were too many, and would probably see an engagement drop off.

The app gives some basic styling options that it does automatically as well as ways to adjust the copy.

The app also provides a way to deploy this, but I think I would want the underlying JS so that I could tailor this to my needs, effectively using it to get over the "blank sheet" problem.
by WarOnPrivacy | 2025-08-08 17:07:51+00:00
> ObamaCare made things much better for those who could not get healthcare.

For some people who could not get healthcare. I haven't had usable health insurance since before the AMA because it can exceed my total earnings.

> For most, High Deductible plans becoming the norm left people in much worse state

Which tees up my larger point (thank you).

For years 3 thru 10+ of the ACA:

News orgs (eg KaiserHN): 'Insured are everywhere now thanks to ACA'. (As far as a policy was unusable, lumping those policy holders into the insured group - this was more a lie than not.) What I actually saw: Unusable policies due to copays. Policy quotes that approached or exceeded total earnings ($12k/yr) Policy quotes that went down as income went up. (quote for $22k/yr earner cost 50% more than quote for $32k/yr)

During ACA's lifetime, news orgs, the insured and politicians haven't given the slightest crap about the many millions of uninsured.

Mostly we didn't exist. Sometimes we did for 5 seconds if it was an opportunity to bash a politician we never voted for.

The problem with disregarding people in a destitute state is they mostly stay destitute. When the more fortunate cease being so, the people they couldn't care about are in no position to help - or even care.
by thewebguyd | 2025-08-08 17:07:57+00:00
I'd argue that resource availability is already high enough to alleviate scarcity for most people, and that most scarcity today is artificially generated, because of profit.

We won't achieve post scarcity, even with widespread automation (if AI ever brings that to fruition), because we haven't yet fixed the benefits that wealth brings, so the motivation to work toward a post-scarcity society just doesn't exist.

Kind of a chicken and egg problem.
by CamperBob2 | 2025-08-08 17:08:13+00:00
One point that Karpathy has made in some of his videos is that using additional tokens in the prompt can facilitate computation. If you ask a transformer to do some basic math, it will be more likely to get the right answer (or at least a better approximation) with a more verbose prompt. To me, this backs up the use of more conversational language ("Please," etc.) when prompting.

However, that seems to be contradicted by what was shown recently with the successful International Math Olympiad effort. Their prompts, such as https://github.com/aw31/openai-imo-2025-proofs/blob/main/pro... , were very terse. It's hard to tell where the prompt stops and the CoT response starts, in fact.

So there is probably some interplay between the need for attention sinks and the use of step-by-step reasoning. It might not be too surprising if the latter works because it's an indirect way to optimize the former.
by whartung | 2025-08-08 17:08:21+00:00
Well, this runs straight into one of the massive, concrete pillars of computing: naming things.

Because that’s what a lot of this falls into.

Overwhelming amount of stuff with no names. No categories, no nothing.

With extended file attributes we could hang all sorts of meta bits off of arbitrary files. But that’s very fragile.

So we ask the systems to make up names for data based on their content, which turns out to not necessarily work as well as we might like.
by lurking_swe | 2025-08-08 17:09:42+00:00
This is sort of like asking “why do pilots still perform manual takeoffs and landing even though full autopilot is possible?” It’s because autopilot is intended to help pilots, not replace them. Too much could go wrong in the real world. Having some skills that you practice daily is crucial to remaining a good pilot. Similarly, it’s probably good to write some code daily to keep skills sharp.

1) when your cloud LLM has an outage, your manager probably still expects you to be able to do your work for the most part. Not to go home because openai is down lol. You being productive as an engineer should not depend on the cloud working.

2) You may want to manually write code for certain parts of the project. Important functions, classes, modules, etc. Having good auto-generated docs is still useful when using a traditional IDE like IntelliJ, WebStorm, etc.

3) Code review. I’m assuming your team does code review as part of your SDLC??? Documentation can be helpful when reviewing code.
by yieldcrv | 2025-08-08 17:10:02+00:00
Its not a binary thing, Tor updates all the time

Many comments talk about exit nodes for surveillance, but there is a totally different vector of use and considerations that dint apply when you aren't trying to access clearnet

And even on darknet it depends on what you’re doing

Reading the NY Times’ darknet site or forum or even nuet browsing darknet markerplace from Tor Browser, whereas I would use a Tor OS like Tails or dual gated VM like Whonix for doing something illicit
by olddustytrail | 2025-08-08 17:11:07+00:00
From reactions I've seen it appears that GPT-5 hallucinates less than previous models but the flip side is that it's worse for creative tasks.

This makes logical sense: you don't want a model to get creative if you need functioning code, but if you want a story idea it should basically be all hallucination.

I think it makes sense to have different models for these tasks.
by hollerith | 2025-08-08 17:11:08+00:00
>curation . . . The products are usually good quality.

Costco has a strong record of getting me to buy food products that are appealing to me for a while, but that I now consider bad for my health.

About the only food products I will still eat that I can buy at Costco are boneless poultry white meat, Kerrygold butter, olive oil and fresh asparagus.

Costco stocks many fruits and vegetables, but most of them are much too high in sugar to be good for me, I now realize. (Berries are on the low side in sugar content, but Costco does not stock frozen raspberries or blackberries, and I avoid fresh berries because they're about 50 times as moldy as frozen ones.)

Examples of foods that I eat a lot of that I cannot get at Costco are cabbage, radish and (frozen) tart cherries.

In contrast, Whole Foods carries most of the 3 dozen or so foods that are good for me to eat according to my current understanding of nutrition (but not the tart cherries). I would probably be significantly healthier if many years ago I'd never become a Costco member and stuck to Whole Foods and Trader Joe's.
by lanfeust6 | 2025-08-08 17:11:21+00:00
Real wages are up and quality of life is on average better than it's ever been. But news organizations do in fact report on self-reported data periodically like living paycheck-to-paycheck (which just means they spend everything and don't save).

Self-reported sentiments about stress are not useful. Rich boomers who voted for Trump would take this poll and just as easily say the cost of groceries is a major source of stress.
by BobaFloutist | 2025-08-08 17:11:49+00:00
Do we have a definition for "has stable access to basic necessities"? In 2025 I'd call this healthy varied food, private sheltered sleeping space that's protected from extreme temperature, clean water to drink and bathe, Internet, public outdoor recreation space, health care, at least a day off a week and let's say 5 days combined PTO or vacation, enough extra to cover emergencies, and enough left over to slowly save for retirement or education or retraining or other opportunities.

I don't know, I'm probably missing some things and possibly parts of my definition is excessive? But I'd be curious to see how that would change trends.
by theahura | 2025-08-08 17:12:16+00:00
EDIT: I updated the article to account for this perspective.

------

This can't be right -- they're using LMArena without style control to resolve the market, and GPT-5 is ahead right? (https://lmarena.ai/leaderboard/text/overall-no-style-control)

> This market will resolve according to the company which owns the model which has the highest arena score based off the Chatbot Arena LLM Leaderboard (https://lmarena.ai/) when the table under the "Leaderboard" tab is checked on August 31, 2025, 12:00 PM ET.

> Results from the "Arena Score" section on the Leaderboard tab of https://lmarena.ai/leaderboard/text with the style control off will be used to resolve this market.

> If two models are tied for the top arena score at this market's check time, resolution will be based on whichever company's name, as it is described in this market group, comes first in alphabetical order (e.g. if both were tied, "Google" would resolve to "Yes", and "xAI" would resolve to "No")

> The resolution source for this market is the Chatbot Arena LLM Leaderboard found at https://lmarena.ai/. If this resolution source is unavailable at check time, this market will remain open until the leaderboard comes back online and resolve based on the first check after it becomes available. If it becomes permanently unavailable, this market will resolve based on another resolution source.
by matwood | 2025-08-08 17:12:20+00:00
> You could replace the word “scientist” with “priest” in your post and it would be no different.

No. Scientist seek to understand and change their beliefs as the facts become clear - the scientific method. Science is self correcting. Some people attack science for self-correcting, but that's literally the point of science.

Priests OTOH do not look to self-correct. Religion is built on myths, and without those myths it will no longer exist. The only ones relying on myths are those still denying climate change.
by tracker1 | 2025-08-08 17:12:37+00:00
Nice... it's cool to see how different companies are putting together best fit solutions. I'm also glad that they at least started out with off the shelf apps instead of jumping to something like a bespoke solution early on.

Quickwit[1] looks interesting, found via Tantivity reference. Kind of like ES w/ Lucene.

1. https://github.com/quickwit-oss/quickwit
by topologie | 2025-08-08 17:12:48+00:00
I would highly recommend that you read Mandelbrot's books and Nassim Taleb's books.

For Mandelbrot, I'd recommend starting with The (Mis)Behavior of Markets. For Taleb, maybe start with The Black Swan.

With those books you'll be able to fully understand why even if/when AI becomes sentient, it will still not help avoid blow ups.

(One reason among many others is, for example, that there are things that cannot be properly forecasted, no matter how hard you try or how advanced your model is, doesn't matter, there's a limit to what we can know and what we can't know about the future...)

Extra: Check out also Thorp's A Man for All Markets.
by fc417fc802 | 2025-08-08 17:13:25+00:00
If you disseminate user uploaded porn then moralizing activists can certainly accuse you of that. It's performative hand wringing though. The admins assuredly don't want to distribute it and the goal of anyone publicly uploading that on the clearnet is to harass and disrupt rather than to disseminate.

Anyway "child porn" as well as the broader "legal reasons" fails to explain the US payment processors' moves to block all sorts of content and products over the years. Even including porn that isn't user uploaded (and thus has proper records keeping).
by mattnewton | 2025-08-08 17:13:35+00:00
Cursor CLI is pretty close to Claude code- it’s missing a bunch of features like being able to manually compact or define sub agents, but the basic workflow is there and if you squint it’s pretty close to gpt-5 in Claude code.

I haven’t tried codex cli recently yet, I think it just got an update. That would be another to investigate.
by fdw | 2025-08-08 17:13:47+00:00
I'm a bit confused about the license: On the purchase page (https://get.trayce.dev/) you state that "a license must be purchased for continued use". But if I look into the GitHub repos (https://github.com/evanrolfe/trayce_agent and https://github.com/evanrolfe/trayce_gui), the license is GPL 3? So why do I need to purchase a license?
by quantified | 2025-08-08 17:14:01+00:00
Absolutely. You can build an innovative product, sure, but you can't refine it or support it the way it needs to be supported.

Perhaps you have other teams working on product management, customer success (odd term for education, but applicable), etc.? Are the grading rubrics tuned for each student, what they need, what's in their IEP or 509? What is your plan for handling the legal challenges when the system massively screws up?

This isn't a random B2B. This is a subtly very important influence on a great many actual humans.
by ryandrake | 2025-08-08 17:14:16+00:00
> tax advantages of an HSA

The minuscule tax advantage here is that 1. you're paying for your health care costs with pre-tax dollars, but you can generally still deduct these even without an HSA, so +0 advantage there, and 2. you are allowed to invest the savings, and gains are not taxed at the federal level (but may be taxed at the state level), so the advantage here is your savings account size x your effective tax rate. The premiums for a HDHP also tend to be slightly less than PPO or other plans.

For most of us that tax advantage is tiny. I would rather have an insurance plan that actually covered my costs minus a copay, even better one without a copay, even better Medicare For All where I don't even have to worry about an insurance company or pay insurance premiums. HDHP + HSA is pretty much the worst of the bunch.
by thewebguyd | 2025-08-08 17:14:41+00:00
Controlling an exit node alone doesn't help, but controlling both entry and exit nodes does.

The tor project has network stats on their website: https://metrics.torproject.org/networksize.html

Looks like about 8,000 relays, inclusive of entry and exit nodes. Looks like about 2,500 exit nodes, and ~5,000 guard nodes. With that few I'd say it's reasonable to assume that a large number of both entry and exit are controlled by government agencies, at least enough to reliable to conduct timing attacks against a specific target they are interested in.
by dabockster | 2025-08-08 17:15:34+00:00
> We believe that all agents will long more like this in the future - long running, asynchronous, more autonomous. Specifically, we think that they will:

> Run asynchronously in the cloud

> cloud

Reality check:

https://huggingface.co/Menlo/Jan-nano-128k-gguf

That model will run, with decent conversation quality, at roughly the same memory footprint as a few Chrome tabs. It's only a matter of time until we get coding models that can do that, and then only a further matter of time until we see agentic capabilities at that memory footprint. I mean, I can already get agentic coding with one of the new Qwen3 models - super slowly, but it works in the first place. And the quality matches or even beats some of the cloud models and vibe coding apps.

And that model is just one example. Researchers all over the world are making new models almost daily that can run on an off-the-shelf gaming computer. If you have a modern Nvidia graphics card, you can run AI on your own computer totally offline. That's the reality.
Show HN: BaaS to build agents as data, not code
by ishita159 | 2025-08-08 17:15:43+00:00
Agents and workflows as data instead of code.

Julep is a backend-as-a-service to build agents and workflows. Main features:

1. Experimentation Velocity:

With most agent frameworks, agents are code that need to be deployed. To iterate on the prompts or update the agent, you need to make changes to the code and deploy it to your server. This makes agents hard to iterate on quickly. But with agents and tasks declared as data, all that happens in the background is make an api call to update or make a new entry in the database. This increases the experimentation velocity.

2. Scalability and long-running background tasks:

Scaling is a hard software engineering problem and the solution is to define large scale systems to be distributed, stateful and scalable. Agents as data is a very helpful paradigm because you have to solve for this problem only once at the orchestrator level. Julep can handle 100s of thousands of executions paralely.

3. Updating an agent / User Personalization:

Tools such as create agent, update agent etc. can update the agent recursively. Let’s assume an agent is chatting with a user and mentions that they only like to communicate in a professional tone. The agent can call a tool to 'update the agent' and modify/update the instructions to include that the user only likes to communicate in a professional tone.

This was the reason to create a backend when the market was flooded with agent frameworks. In Julep, you can declare a workflow in YAML, and it can automatically scale Millions of users.
by a5c11 | 2025-08-08 17:15:49+00:00
> They’re not gaining a persistent few pounds of muscle in a week that then get worked off with exercise.

So it's water. Btw, do they also report every meal they ate to you? I doubt. People are lying, so I wouldn't trust in their calories counting.

> The obesity goes away.

Just like pain, obesity is a symptom of something else being broken - diet, serious illness, mental issues, invalid hormone levels, etc. Sure you probably can get rid of obesity with a magic pill, but the underlying problem persists. Obesity doesn't come from the air - basic laws of physics.

> One group with fewer and fewer transmissible diseases, without obesity, aging slower.

That's precisely what healthy lifestyle does to the human body. You don't need to pay for magic pills, just keep balanced diet, exercise, sleep well.

> The other anti-vax, anti-medicine and whatnot.

Being sceptical about what you put into your body is wise. Not every vaccine is needed. Not every medicine is there to help you.
by eqvinox | 2025-08-08 17:16:14+00:00
That wasn't what I meant, I'm confused why you're associating the Gestapo with Eastern Europe. They were active in all of German controlled Europe with a pretty bad reputation almost everywhere. The nazi mass murders also have more of an association with the SS rather than the Gestapo, especially when it got worse in the later years.

(FYI, the NKVD killed more than 100'000 Poles in a just a few months in 1941. I haven't found a total. But they were also active in all of the CCCP. Not sure what would be an Eastern Europe specific reference here…)
by xg15 | 2025-08-08 17:16:26+00:00
I wonder if the model could also just make its own sink tokens if the prompt doesn't have any. E.g. if the model first emits some "fluff" like "The answer to this question is:" before starting with the actual answer, it could use those tokens as attention sinks. Same with "thinking tokens" that don't directly contribute to the answer or invisible formatting tokens, etc.
by porridgeraisin | 2025-08-08 17:16:46+00:00
Honestly this is fine.. you know it's a 2 character optimisation but whatever... EXCEPT IT BREAKS BACKWARDS COMPAT.

Seriously? Breaking compat for crap like this? It must take copious amounts of cocaine to actually hit publish after writing this thing.

But what was I expecting really... These are the maintainers that removed a _standard library_ package (`imp`) in 3.12 breaking all kinds of projects for no reason at all. Just mark it deprecated (which they did) and leave it there for heaven's sake.

Anyway... I guess this is fine as long as it leaves repr() and str() the way they are.
by M4R5H4LL | 2025-08-08 17:16:52+00:00
This is anecdotal but here is the truth: I have a home that I bought around 20 years ago in Cali, and the HOA tripled during that time and is now rapidly approaching $700/mo. And that's with less benefits since we lost the earthquake insurance. And not to mention the special assessments that started showing up in 2025. You could make all sort of assumptions, but there is nothing special about the community.
by throwaway346434 | 2025-08-08 17:17:11+00:00
ChatGPT etc does an OK job at SPARQL generation. Try something like "generate a list of all supermarkets, including websites, country, description" and you get usable queries out.

In a much, much more limited way, this is what I was dabbling with with alltheprices - queries to pull data from wikidata, crawling sites to pull out the schema.org Product and offers, and publish the aggregate.
by lbhdc | 2025-08-08 17:17:21+00:00
Just a though, but if you could bake in reasonably competitive analytics with this, it would probably make it an easier sell. Things like injecting peoples GAM token, or measuring dwell time on certain pages, collecting telemetry about how far people get into the questionnaire. Perhaps info about people who have visited multiple times before they sign up.

Collecting and forwarding the emails to an address / dataset could be beneficial as well.