MurphyA/hacker-news huggingface dataset:
by physicles | 2025-08-10 02:31:44+00:00
There is a certain point where UX responsiveness has a huge impact on how the product gets used.

I hate Jira with a burning passion simply because it is slow where I live (in China, with a VPN). Even minor interactions, like clicking on a task’s description to edit it, takes about 2 seconds. Opening a task from a list takes around 5 seconds.

The result is that I and my coworkers avoid using Jira unless we really have to. Ad-hoc work that wasn’t planned as part of the sprint just doesn’t get tracked because doing so is unreasonably painful.
by andrekandre | 2025-08-10 02:31:44+00:00
> To see this, get two people together and try to get them to agree on when capitalism started, or even what a country needs to be considered a capitalist country.

this isn't actually an argument but an appeal; just because laypersons don't know how to frame something doesn't mean useful definitions don't exist

> As a naturally evolved system, the alternative to capitalism is therefore capitalism+some minor tweak.

thats not a strong argument; people could have said the same thing about feudal arrangements and slavery or kings and emperors at one time in the past
by mikert89 | 2025-08-10 02:32:14+00:00
Actually will agree that o1 pro was better than o3 at really deep bug finding/coding analysis. Which is also why i have the theory that they could just turn up the compute to show better results, but dont do to cost. O3 and GPT5 seem heavily quantized, o1 pro was more raw

Another thing I’ll add though, is o3 pro is better through the api than the chat website. They clearly constrain it unless you’re paying the absurd api cost
by riehwvfbk | 2025-08-10 02:32:47+00:00
Antisemitism in Europe has a long history stemming from the church wanting to paint Jews as "Christ-killers" and "other". There was a much more famous and murderous contemporary antisemitic movement in Germany. Singling out Russia is simply weird.

The Jews in the later Soviet Union did still face discrimination, but it was of the variety of being denied university admissions due to quotas. Kind of like what the Ivy League does to kids of Asian descent in the USA these days.
by maxbond | 2025-08-10 02:33:16+00:00
As a point of information (I don't disagree with anything you've said), just because public clouds advertise a gigantic instance type doesn't necessarily mean you can provision it. I saw a situation at work once where the ML researchers couldn't figure out why they were failing to provision a box. The request would be pending for a few hours before failing. AWS eventually said they simply didn't have the capacity in that AZ, and it was unlikely to ever succeed.
by hodgehog11 | 2025-08-10 02:33:22+00:00
Yes, of course. I'm not trying to establish further argument or to criticise. But it isn't fruitful to have a conversation where both parties have different definitions in mind. Since my original comment referred to the mathematical definition, it is important for me to clarify that.

The rest of my comment is to try to find some middle ground, of which there is plenty in philosophy. If the raw theory of mind arguments for humans were already applicable for recognizing the limitations of LLM designs, we would be much further along than we currently are.
by benreesman | 2025-08-10 02:33:35+00:00
Minimum wages are an economically imperfect (as you've pointed out) but politically possible way to put some downward pressure on much, much bigger failures of our species and society to have attitudes and policies around acceptable minimums for basic human needs that are even logically self consistent, to say nothing of enlightened.

We can't quite get it together on saying "food, shelter, healthcare are human rights" or it's sinister sibling "we'll let you die in the cold if there's no profit to be had from you".

Those are both consistent, actionable policies, but no one wants a consistent policy on this because everyone gerrymanders it dofferently.

So we get clunky hacks like minimum wage that are sort of the average of Aspirational Star Trek and Aspirational Blade Runner.
by bsoles | 2025-08-10 02:34:09+00:00
If a company doesn't have irreplaceable people, then that company is not doing anything interesting. Conversely, if replaceable people can produce your (software) product, then any other company can also do it.

As much as I don't like LLMs that much personally, do you think ChatGPT was produced with replaceable people?

> Companies need to build systems where everyone is replaceable...

No they don't. They need to build systems where everyone is happy with their job and don't need to constantly hop jobs for better salary, environment, etc.

The way to mitigate the bus factor is not to make everybody replaceable; it is to have a process to develop more irreplaceable people with overlapping expertise in their areas.
by jeswin | 2025-08-10 02:34:28+00:00
The author seems to be more about self-promotion.

From the article: "that many online dubbed it “Gary Marcus Day” for proving your consistent criticism", "Even my anti-fan club (“Gary haters” in modern parlance)", "Tweets like “The saddest thing in my day is that @garymarcus is right”", and his bio - "known as a leading voice in AI".

Looping over his articles, I don't see anything interesting.
by halfcat | 2025-08-10 02:36:00+00:00
> How different are world models from LLMs?

Depends if you’re asking about real world models or synthetic AI world models.

One of them only exists in species with a long evolutionary history of survivorship (and death) over generations living in the world being modeled.

There’s a sense of “what it’s like to be” a thing. That’s still a big question mark in my mind, whether AI will ever have any sense of what it’s like to be human, any more than humans know what it’s like to be a bat or a dolphin.

You know what it’s like for the cool breeze to blow across your face on a nice day. You could try explaining that to a dolphin, assuming we can communicate one day, but they won’t know what it’s like from any amount of words. That seems like something in the area of neuralink or similar.
by rayiner | 2025-08-10 02:36:37+00:00
> I'm trying to think of what a fair comparison would be.

You should be able to think of a dozen examples off the top of your head. Virtually every society has minorities and immigrant groups (which have nothing to do with colonial history).

> I do think there's a meaningful difference between a dominant/imperial power that (begrudgingly, slowly) allows room for its own citizens of diverse racial backgrounds

Why would a dominant power ever make room for people outside their in-group? Where does that notion even come from? That's not how most societies work. Some multi-ethnic empires in history showed various degrees of tolerance for outgroups (e.g. Muslims that ruled over the Indian subcontinent imposed jizya on non-Muslims only some of the time). But you have to go back to the Romans to find a major power that allowed outside ethnicities to rise to the uppermost reaches of society (without being conquered by outside groups).

You can't explain the unusual inclusiveness of American society by pointing to anything minorities did. Minorities always advocate in their own interest--that's commonplace, but almost never works. The Uyghurs can tell the Chinese "we don't want to be oppressed" all they want, but that's not persuasive to the Chinese because that's just an expression of self-interest. It's not contrary to the self interest of the Chinese for the Uyghurs to be oppressed.

The unusual thing is the dominant group actually giving up power voluntarily. For that to happen, there must be something in the dominant culture to which minorities can appeal, something that can be used to persuade the dominant group to give up its own self interest.
by porridgeraisin | 2025-08-10 02:36:52+00:00
I have a similar experience. My not-so-tech-savvy brother also has the same laptop setup I do (arch+XFCE). He knows to yay -Syyu and it's usually never a problem. The recent upgrade there was the vlc package split problem so I told him to hold on upgrading and that I'd come and do it. While I needed to sit and filter and install the optional dependencies myself for my upgrade, a week later it was already figured out (based on user feedback I assume) and the usual yay -Syyu installed just the right optional dependencies.
by cookiengineer | 2025-08-10 02:37:22+00:00
Excellent comment, couldn't have described it better.

I wanted to add that in Star Trek they always talk with techno babble things like "Computer, create a matrix from a historic person who was knowledgeable in a specialized surgery field" and then the Hologram room creates that avatar's approximation, with the programming and simulated/hallucinated expertise.

The holodeck is a special kind of weird because sooo many accidents happen because of sloppy coding that the AI of the ship's computer created as flawed programs that later then hurt the crew members because of failing or ignored/bypassed safety protocols, which we see now as the rising field of prompt engineering in redteams.

Additionally, in Star Trek instead of coding on tablets, they usually just show analytics data or debug views of what the ship's computer created. The crew never actually code on a computer, and if they do they primarily just "vibe code" it by saying absurd things like "Computer, analyze the enemy ship's frequency and create a phasing shield emitter to block their phasers" (or something like that) and the computer generates those programs on the fly.

The cool part that I liked the most is when Voyager's neural packs (think of them as the AI-to-system control adapters) actually got sick with a biological virus because they were essentially made out of brain matter.
by ModernMech | 2025-08-10 02:38:12+00:00
If ChatGPT 5 lived up to the hype, literally no one would be asking for old models back. The snafus are minor as far as presentations go, but their existence completely undermines the product OpenAI is selling, which is an expert in your pocket. They showed everyone this "expert" can't even assist the creators themselves to nail such a high stakes presentation; OpenAI's embarrassing oversights foretell similar embarrassments for anyone who relies on this product for their high stakes presentation or report.
by PessimalDecimal | 2025-08-10 02:38:24+00:00
A comparison I've seen isn't to roulette but to a slot machine. Anthropic itself encourages its employees to treat its use for refactors as a slot machine. [1]

It seems like an idea worth exploring formally but I haven't see that done anywhere. Is this a case of "perception of winning" while one is actually losing? Or it it that the winning is in aggregate and people who like LLM-based coding are just more tolerant of the volatility to get there?

The only study I've seen testing the actual observable impact on velocity showed a modest decrease in output for experienced engineers who were using LLMs for coding.

[1] https://www-cdn.anthropic.com/58284b19e702b49db9302d5b6f135a...
by radio879 | 2025-08-10 02:39:50+00:00
Well, if you download Qwen Code https://github.com/QwenLM/qwen-code it is free up to 2000 api calls a day.

Not sure if GLM-4.5 Air is good, but non-Air one is fabulous. I know for free API access there is pollinations ai project. Also llm7. If you just use the web chat's you can use most of the best models for free without API. There are ways to 'emulate' an API automatically.. I was thinking about adding this to my aicodeprep-gui app so it could automatically paste and then cut. Some MCP servers exist that you can use and it will automatically paste or cut from those web chat's and route it to an API interface.

OpenAI offers free tokens for most models, 2.5mil or 250k depending on model. Cerebras has some free limits, Gemini... Meta has plentiful free API for Llama 4 because.. lets face it, it sucks, but it is okay/not bad for stuff like summarizing text.

If you really wanted to code for exactly $0 you could use pollinations ai, in Cline extension (for VS Code) set to use "openai-large" (which is GPT 4.1). If you plan using all the best web chat's like Kimi K2, z.ai's GLM models, Qwen 3 chat, Gemini in AI Studio, OpenAI playground with o3 or o4-mini. You can go forever without being charged money. Pollinations 'openai-large' works fine in Cline as an agent to edit files for you etc.
by ants_everywhere | 2025-08-10 02:41:41+00:00
What I'm saying is it's easy for folks like him to fall into the trap of writing for an undiscriminating audience because their feedback is so positive and strong.

He was (and I think still is) a believer in psychological nativism, which I think is an intellectual dead end. You can't really believe in LLMs while also being a nativist.

But nobody really cares about the axe he's grinding (nativism), yet when he writes about the "slopocalypse" he gets positive feedback.
by riehwvfbk | 2025-08-10 02:41:53+00:00
Yes, I speak from first hand experience. I have family and friends in Russia. Nobody in my circles is a racist. If someone would speak of a "churka" I'd be concerned for my friend and try to get them to see a psychiatrist.

Do racist people exists? Yes, they do. They tend to live in small insular towns. Kind of like they do in the rest of the world. If someone hails from a small town they may have a racist uncle. Kind of like someone from Texas might. The correct reaction is the same - an eye roll.

If I were to hazard a guess, these racist relatives are probably not university professors. I don't mean this disparagingly - I do not have an elite pedigree myself. But I suspect you are comparing against your knowledge worker acquaintances in the US. You should try speaking to some American tradespeople some time and see if you still think Russians are more racist.
by malloryerik | 2025-08-10 02:41:59+00:00
Humans have a direct connection to our world through sensation and valence, pleasure, pain, then fear, hope, desire, up to love. Our consciousness is animal and as much or more pre-linguistic as linguistic. This grounds our symbolic language and is what attaches it to real life. We can feel instantly that we know or don't know. Yes we make errors and hallucinate, but I'm not going to make up an API out of the blue; I'll know by feeling that what I'm doing is mistaken.
by Jon_Behrendt | 2025-08-10 02:42:10+00:00
The Hybrid-SOTA Pipeline Builder is an autonomous, visual CI/CD workflow designer that merges an interactive React-based canvas editor with an AI-driven optimization backend.

It’s built to leverage the Hybrid-SOTA intelligence stack — GPT-5, Gemini 2.5 Ultra, and Qwen/Cerebras — to generate unparalleled build performance and quality outputs without requiring users to manually configure pipelines.

---

Core Purpose

To transform raw project input — such as a repository URL or high-level intent — into a ready-to-deploy, fully optimized GitHub Actions CI/CD pipeline, with optional IONOS Deploy Now integration, in seconds.

---

Key Features

1. Autonomous Mode

Accepts a repo URL or user intent.

Sends it to the Cognition Layer (GPT-5 + Gemini) for stack analysis, best-practice validation, and optimal pipeline design.

Receives a JSON configuration describing nodes and config that is immediately rendered on the canvas.

2. Interactive Canvas Workflow Builder

Drag-and-drop blocks (triggers, jobs, deploy steps, notifications).

Connect nodes visually to define execution flow.

Edit configurations in the side panel.

Add branch/env matrices and IONOS preview deploy toggles.

3. Execution Layer

Converts the visual workflow state into production-ready YAML.

Uses Qwen on Cerebras for ultra-fast, high-throughput YAML generation at scale.

Falls back to local YAML generation if the high-performance backend is unavailable.

4. Deployment Pipeline Integrations

IONOS Deploy Now: one-click project linking with secrets management.

GitHub Actions: automatically structured workflows with caching, testing, and deploy steps.

5. Hybrid-SOTA Optimization

The AI stack ensures:

Best dependency management for the detected package manager (e.g., pnpm vs npm).

Security compliance.

Performance optimizations like caching strategies and parallelization.

---

Example Workflow

1. User enters https://github.com/org/project → clicks Analyze.

2. Cognition Layer analyzes repo files, detects Vite + PNPM + Node 20.x, and produces an optimized workflow state.

3. The React canvas auto-renders a connected flow:

trigger_push → job_lint → job_build → deploy_ionos

4. User optionally adjusts or approves the design.

5. Execution Layer produces a matrix-aware, IONOS-ready YAML with preview deploys for non-prod.

6. YAML is committed to .github/workflows/deploy.yml and the pipeline is live.
by masterj | 2025-08-10 02:42:39+00:00
I love heat pumps, but the author should have had an energy audit done first. Likely a thermal camera on a cold day would quickly identify their envelope issues.

> one from the clothes dryer (when I hold an incense stick up to it I can see it pulling in air even when it’s not running)

A normal vented clothes dryer can vent something like 8000 cu ft of air in a normal drying cycle (i.e. all of the air in their apartment). If that's running all the time somehow, that could definitely explain a lot. If that's the case they should fix it, and maybe explore ventless heatpump dryers.
by mcswell | 2025-08-10 02:43:14+00:00
Humans do many things that are not remembering. Every time a high school geometry student comes up with a proof as a homework exercise, or every time a real mathematician comes up with a proof, that is not remembering; rather, it is thinking of something they never heard. (Well, except for Lobachevsky--at least according to Tom Lehrer.) The same when we make a plan for something we've never done before, whether it's a picnic at a new park or setting up the bedroom for a new baby. It's not remembering, even though it may involve remembering about places we've seen or picnics we've had before.
by wkat4242 | 2025-08-10 02:45:11+00:00
Not the ones from these events they are really well designed (welll... Feature wise) and offer great learning and usage opportunities.

This one has a big colour screen and a full qwerty keyboard. It's not really to be used as a badge. More as a way to get people interested in making something cool with it.

After all, hacker conferences these days are about 50% traditional security and 50% makers.
by 0xbadcafebee | 2025-08-10 02:46:22+00:00
Am I the only person who thinks it's a bad idea for a hallucinating AI to have anything to do with financial services, healthcare, or manufacturing? Doesn't really matter what the RPC protocol looks like if the meat and potatoes of the tech will confidently make shit up. You can't hand-wave this away by saying "oh it's a reasoning AI". Albert Einstein may be real smart, but it's still a bad idea to take financial advice from him when he drops acid.
by bruce511 | 2025-08-10 02:46:33+00:00
In addition to the problems you outline, I'll toss in the lack of a magnetic field (for both Mars and the moon.)

While not as glamorous as the lack of, you know, water, air, heat etc it makes solar and cosmic radiation pretty deadly. Which means the bases need to be underground. So, um, the first thing to ship to both should be a big heavy digger...
by hodgehog11 | 2025-08-10 02:47:00+00:00
Care to explain further? He has made far more claims of the limitations of LLMs that have been proven false.

> diminishing returns of scaling laws

This was so obvious it didn't need mentioning. And what Gary really missed is that all you need are more axes to scale over and you can still make significant improvements. Think of where we are now vs 2023.

> lack of true reasoning (out of distribution generalizability) in LLM-type AI

To my understanding, this is one that he has gotten wrong. LLMs do have internal representations, exactly the kind that he predicted they didn't have.

> These are issues that the industry initially denied, only to (years) later acknowledge them

The industry denies all their limitations for hype. The academic literature has all of them listed plain as day. Gary isn't wrong because he's contradicted the hype of the tech labs, he's wrong because his short-term predictions were proven false in the literature he used to publish in. This was all in his efforts to peddle neurosymbolic architectures which were quickly replaced by tool use.
by PaulHoule | 2025-08-10 02:47:05+00:00
Personally I think Stack Overflow and Google are 95% trash for that kind of problem.

The answers are in (i) the Typescript documentation and (ii) the documentation of libraries that I'm using. I could get lucky with a Google search and it could be worth trying, but I wouldn't expect it to work. Personally my preference is to have a language and libraries with great documentation (Python, Java, Typescript isn't too bad [1]) and really know that documentation like the back of my hand.

If I hadn't had the LLM I would have probably figured it out the same way doing experiments, I might have asked my other "rubber duck"

https://mastodon.social/@UP8/113935901671533690

A tactic I didn't use, which helps in "legacy" systems where I am stuck, is start a fresh project in the IDE and try either reproducing the problem or building a tiny system which is problem free.

I'm hesitant to say what speedup I got out of the "figuring out the types together with the LLM" but emotionally I felt supported and in the process I wrote a whole lot, like I was keeping track of the process in a notebook. I feel a lot times when I have good LLM conversations I wind up writing better code than I would otherwise, not necessarily write it faster -- it's like pair programming.

[1] The typescript docs are great for the typescript stuff, MDN is good for Javascript and Javascript's stdlib
by lordofgibbons | 2025-08-10 02:47:08+00:00
Gary has a history of yo-yo-ing between panicking in front of congress about how AI is moving too fast and needs to be stopped and "see I told you this would never work".

His entire career is built on poopooing other people's work. Has contributed nothing to the AI/ML field yet is somehow referred to as an "expert".

There are so many better informed critics of the current AI hype out there.
by jandrewrogers | 2025-08-10 02:47:27+00:00
They did a study of Seattle’s minimum wage that did not hold up well in subsequent studies, in part because their assumptions about how adverse effects would manifest were poor. They seem to have memory-holed that. Seattle’s minimum wage is higher and more broad based than California.

Regardless, with the passing of time the adverse effects have worsened to the point that even proponents in Seattle acknowledge there are serious issues that have resulted which need to be addressed.

California looks like it is trying to speedrun Seattle’s mistakes.
Tell HN: Claude/Anthropic and Stripe Billing timezone discrepency
by serf | 2025-08-10 02:47:44+00:00
Hi all,

Just a heads up , Claude/Anthropic & the Stripe billing they use appear to be working on different timezones. My Max 20x account expired 4 hours earlier than anticipated; Anthropic told me Aug 9th via email upon cancellation -- but it actually expired Aug 8th at 8PM PST 4 hours before the turn of the new day.

My assumption is that their billing group rolls over based on EST, but no confirmation yet.

I tried emailing them but now with a free account and 24hrs post with no reply I anticipate no reply, and i'm not sure what they could even do to help.

Pretty frustrating to get shorted promised time on such an expensive subscription, so I wanted to warn others in advance.
by MattGaiser | 2025-08-10 02:48:37+00:00
> Most importantly, we need to remember why we came to college in the first place.

I’d be surprised to find learning and intellectual curiousity a priority for more than 25% of freshmen at any point since 2008.

When I started university a decade ago, it was all about the resume building. We were there to ensure our entry to the upper middle class.