MurphyA/hacker-news huggingface dataset:
by tunesmith | 2025-08-08 18:26:56+00:00
I felt like it was getting somewhere and then it pivoted to the stupid graph thing, which I can't seem to escape. Anyway, I think it'll be really interesting to see how this settles out over the next few weeks, and how that'll contrast to what the 24-hour response has been.

My own very naive and underinformed sense: OpenAI doesn't have other revenue paths to fall back on like Google does. The GPT5 strategy really makes sense to me if I look at this as a market share strategy. They want to scale out like crazy, in a way that is affordable to them. If it's that cheap, then they must have put a ton of work in to some scaling effort that the other vendors just don't care about as much, whether due to loss-leader economics or VC funding. It really makes me wonder if OpenAI is sitting on something much better that also just happens to be much, much more expensive.

Overall, I'm weirdly impressed because if that was really their move here, it's a slight evidence point that shows that somewhere down in their guts, they do really seem to care about their original mission. For people other than power users, this might actually be a big step forward.
by roadside_picnic | 2025-08-08 18:26:56+00:00
Interviewed with HRT awhile back. While I didn't get past the final round, their Python internals interview (which I did pass) was an absolute blast to prepare for, and required a really deep dive into implementation specific details of CPython around things like exactly how collisions are handled in dict, details about memory management, etc. Pretty much had to spend a few weeks in the CPython source to prep, and was, for me, worth the interview just to really learn what's going on.

For most teams I would be pretty skeptical of a internal Python fork, but the Python devs at HRT really know their stuff.
by quantified | 2025-08-08 18:27:03+00:00
Subtly yet strongly bogus. Being sympathetic to women is not "feminized". Author is attempting to argue that being civilized, observing decorum, is not masculine.

[https://www.merriam-webster.com/dictionary/feminized]

feminized adjective fem· i· nized ˈfe-mə-ˌnīzd : made feminine or more feminine … the crucial influence of gay subculture on every style from the Teds [=teddy boys] to the 'feminized New Man' of the late 1980s has been thoroughly discussed … —Margaret Sarkissian : notably female or feminine in quality or character
by corysama | 2025-08-08 18:27:10+00:00
The vibe I'm getting from the Reddit community is that 5 is much less "Let's have a nice conversation for hours and hours" and much more "Let's get you a curt, targeted answer quickly."

So, good for professionals who want to spend lots of money on AI to be more efficient at their jobs. And, bad for casuals who want to spend as little money as possible to use lots of datacenter time as their artificial buddy/therapist.
by hinkley | 2025-08-08 18:27:12+00:00
Charge more for LTS support. That’ll chase people onto your new systems.

I’ve seen this play out badly before. It costs real money to keep engineers knowledgeable of what should rightfully be EOL systems. If you can make your laggard customers pay extra for that service, you can take care of those engineers.

The reward for refactoring shitty code is supposed to be not having to deal with it anymore. If you have to continue dealing with it anyway, then you pay for every mistake for years even if you catch it early. You start shutting down the will for continuous improvement. The tech debt starts to accumulate because it can never be cleared, and trying to use makes maintenance five times more confusing. People start wanting more Waterfall design to try to keep errors from ever being released in the first place. It’s a mess.

Make them pay for the privilege/hassle.
by nawgz | 2025-08-08 18:27:16+00:00
> How many different tools have you ever used? New build system? New linter? How did you know if you wanted to run those on the command line or in your IDE?

In what way is this analogous? Running scripts is vastly different than AI codemod. I could easily answer how when and why a build system would be plugged in, and linting and formatting are long-established pathways.

On the flipside there are barely even established practices, let alone best ones, for using AI. The point being offered is that AI companies offer shockingly little guidance on how to use their apparently amazing tool.

I personally have never used AI to author code, so I don't really know how the story I provided proves anything to you. I like it to answer questions about why something isn't working to help give me some leads, and it is good at telling you how to use a new framework quickly, but that's a pretty different practice than it authoring code. Seems like you're kinda dodging the question too.
by ramoz | 2025-08-08 18:27:22+00:00
One enterprise angle to open source models is that we will develop advanced forms of RPA. Models automating a single task really well.

We can’t rely on api providers to not “fire my employee”

Labs might be a little less keen to degrade that value vs all of the ai “besties” and “girlfriends” their poor UX has enabled for the ai illiterate.
by muzani | 2025-08-08 18:27:27+00:00
You might want to try Claude Code if you haven't. It's perfect for exactly this plan, then build flow with a ton of documents. A colleague set up some strict code guidelines, right down to say, put constructors at the top, constants at the bottom, use this name for this, snake case for that. Code quality just shoots up with these details. Can't just hack away with a blunt axe.

People tend to hate Claude Code because it's not vibe coding anymore but it was never really meant to be.
by qualeed | 2025-08-08 18:27:54+00:00
It's on by default in Tor browser.

You have to explicitly switch to "Safest" mode to turn it off completely.

>Why does Tor Browser ship with JavaScript enabled?

We configure NoScript to allow JavaScript by default in Tor Browser because many websites will not work with JavaScript disabled. Most users would give up on Tor entirely if we disabled JavaScript by default because it would cause so many problems for them. Ultimately, we want to make Tor Browser as secure as possible while also making it usable for the majority of people, so for now, that means leaving JavaScript enabled by default.

https://support.torproject.org/tbb/tbb-34/
by dvrp | 2025-08-08 18:28:18+00:00
We've noticed that Wan 2.2 (available on Krea) + Krea 1 refinement yields _beautiful_ results. Check this from our designer, for instance: https://x.com/TitusTeatus/status/1952645026636554446

(Disclaimer: I am the Krea cofounder and this is based on a small sample size of results I've seen).
by geerlingguy | 2025-08-08 18:28:24+00:00
In the case of llama.cpp's RPC mode, the network isn't the limiting factor for inference, but for distributing layers to nodes.

I was monitoring the network while running various models, and for all models, the first step was to copy over layers (a few gigabytes to 100 or so GB for the huge models), and that would max out the 5 Gbps connection.

But then while warming up and processing, there were only 5-10 Mbps of traffic, so you could do it over a string and tin cans, almost.

But that's a limitation of the current RPC architecture, it can't really parallelize processing, so as I noted in the post and in my video, it kinda uses resources round-robin style, and you can only get worse performance across the entire cluster than on a single node for any model you can fit on the single node.
by magnusga | 2025-08-08 18:28:36+00:00
Are anyone else experiencing extreme lag on responses from GPT-5 inside e.g. vscode?

I use Claude Code as my daily driver and it takes on avg. 4-5 seconds to respond, assuming no hard thinking or research. For the same prompt, vscode with GPT-5 is taking 4-5 minutes.

It is so slow it is rendered useless for us.

I am using a new MacBook Pro (M4 Pro).

Just wanted to know if I am the only one seeing this.
by avidiax | 2025-08-08 18:28:38+00:00
Related article: https://www.jalopnik.com/1932213/cessna-172-plane-stolen-twi...

------

Interestingly, airplanes can also get repossessed. Special pilots get all the legal paperwork arranged and just show up and fly a plane out.

I suppose the high skill needed means that most pilots wouldn't want to steal airplanes, and it would not make sense to steal any airplane that needs special support from the manufacturer (the new owner can't keep it flying). Cars are much lower skill to steal and maintain and have a much broader market.

https://aerocorner.com/blog/what-happened-to-airplane-repo/
by prophesi | 2025-08-08 18:28:40+00:00
I'm also excited for local LLM's to be capable of assisting with nontrivial coding tasks, but we're far from reaching that point. VRAM remains a huge bottleneck for even a top-of-the-line gaming PC to run them. The best these days for agentic coding that get close to the vibe-check of frontier models seem to be Qwen3-Coder-480B-A35B-Instruct, DeepSeek-Coder-V2-236B, GLM 4.5, and GPT-OSS-120B. The latter being the only one capable of fitting on a 64 to 96GB VRAM machine with quantization.

Of course, the line will always be pushed back as frontier models incrementally improve, but the quality is night and day between these open models consumers can feasibly run versus even the cheaper frontier models.

That said, I too have no interest in this if local models aren't supported and hope that's down the pipeline just so I can try tinkering with it. Though it looks like it utilizes multiple models for various tasks (planner, programmer, reviewer, router, and summarizer) so that only adds to the difficulty of the VRAM bottleneck if you'd like to load different models per task. So I think it makes sense for them to focus on just Claude for now to prove the concept.

edit: I personally use Qwen3 Coder 30B 4bit for both autocomplete and talking to an agent, and switch to a frontier model for the agent when Qwen3 starts running in circles.
by rtkwe | 2025-08-08 18:28:44+00:00
No network interconnect is going to scale well until you get into the expensive enterprise realm where infiniband and other direct connect copper/fiber reigns. The issue is less raw bandwidth but latency. Network is inherently 100x+ slower than memory access so when you start sharing a memory intensive workload like an LLM across a normal network it's going to crater your performance unless the work can be somewhat chunked to keep communication between nodes on the network to a minimum.
by therein | 2025-08-08 18:28:47+00:00
Neither are even close to AGI. Here is something they can't do and won't be able to do for a very long time:

If you're inferring in English and ask it a question, it will never be able to pull from the knowledge it has ingested in another language. Humans are able to do this without relying on a neurotic inner voice spinning around in circles and doing manual translations.

This should be enough to arrive at the conclusion that there is no real insights in the model. It has no model of the world.
by pumplekin | 2025-08-08 18:28:47+00:00
We don't have leash laws like in the US, so it is common for dogs to just be allowed to run around in most community parks.

The problem with sighthounds is they will lock on to squirrels, rabbits or other things, and running at 40mph will be out of sight and lost VERY quickly.

So we don't let ours off lead except in controlled places (like this one).
by emushack | 2025-08-08 18:29:10+00:00
And yet, the very study you linked to concluded that despite 5 years of research on the topic, it still isn't clear what the actual causes are. But you know, I definitely think your arm-chair reasoning probably contains the one true reason.

Research has mostly focused on explaining the paradox at a household level. Farrell and colleagues reviewed the literature pertaining to low- and middle-income countries and focused on the bigger picture, that is, analyzing the issue at an individual, household, community, and country level. They proposed 5 context-mechanisms factors that could modify the association between an individual’s food insecurity and obesity risk: affordability of energy dense, processed foods, quantity & diversity of food consumed, spatial temporal access to nutritious food, interpersonal distribution of food and non- dietary behavior. Nevertheless, affordability of energy dense foods was identified as the main mechanism since the authors had limited evidence to support the other mechanisms (26). Other authors have proposed that social support can also play a role since they found that food insecure women who reported lower levels of social support were more likely to be obese (28)
by JCBird1012 | 2025-08-08 18:29:37+00:00
It depends on the airport! Some smaller airports (like Corona Municipal Airport where the story is based) - are untowered, meaning that there's no central ATC to chat with when taking off/landing - everyone announces what they're doing as they're doing it and there's a traffic pattern/flow that everyone follows to ensure there's no conflicts - it works surprisingly well.

In the US, you can get shockingly very far without having to chat with ATC.
by AndrewKemendo | 2025-08-08 18:29:50+00:00
>There’s no deprecation period at all: when your consumer ChatGPT account gets GPT-5, those older models cease to be available.

This is flat out, unambiguously wrong

Look at the model card: https://openai.com/index/gpt-5-system-card/

This is not a deprecation and users still have access to 4o, in fact it's renamed to "gpt-5-main" and called out as the key model, and as the author said you can still use it via the API

What changed was you can't specify a specific model in the web-interface anymore, and the MOE pointer head is going to route you to the best model they think you need. Had the author addressed that point it would be salient.

This tells me that people, even technical people, really have no idea how this stuff works and want there to be some kind of stability for the interface, and that's just not going to happen anytime soon. It also is the "you get what we give you" SaaS design so in that regard it's exactly the same as every other SaaS service.
Show HN: MCP Document Indexer – Local AI search for your documents using Ollama
by yairwein | 2025-08-08 18:30:06+00:00
I built a document indexer that runs completely locally on your machine. It watches folders for new documents (PDFs, Word, Markdown), automatically indexes them using LanceDB vectors, and makes them searchable through natural language queries. Key features: - Uses Ollama for summarization - nothing leaves your computer. No license or API keys needed - Integrates with Claude Desktop via Model Context Protocol - Incremental indexing (only processes changed files) - Runs well on standard laptops (optimized for M1/M2 MacBooks) The main use case is being able to ask Claude things like "What documents mention machine learning?" or "Search my research papers about distributed systems" and get semantic search results from your local documents. Tech stack: Python, LanceDB for vectors, sentence-transformers for embeddings, Ollama for local LLM processing, FastMCP for the protocol server.
by autoexec | 2025-08-08 18:30:07+00:00
> And that worked out excellently for the US.

That worked out excellently for the US at a time when the US was more or less empty and the west had to be settled and the government was going out of its way to encourage people to come and tame the land. Unsurprisingly, centuries later the situation has changed significantly and it's now in our best interest to be slightly more selective and organized when it comes to bringing people into the country.

Regulating immigration is only going to get more important as more Americans are forced to move due to climate change/water shortages/desertification (already starting, about to get much much worse: https://www.forbes.com/home-improvement/features/americans-m...) and as the country does its part to help accommodate the 1 billion climate refugees who won't be looking to immigrate because they want more money or better jobs, but because they literally won't have homes to go back to.

We need to be preparing ourselves for some hard times, being much more careful about the number of people we let in, giving more thought about where we're putting them all, and making sure that we're enabling them to be successful after their arrival. Regulating immigration is important. It can be done without being as evil and heartless as possible. It's important that we don't let the cruelty of the current administration cause a backlash which leads us away from common sense.
by Spivak | 2025-08-08 18:30:07+00:00
> This process gets dramatically slower for … modules on distributed file systems, modules with slow side-effects

Oh no. Look I'm not saying you're holding it wrong, it's perfectly valid to host your modules on what is presumably NFS as well as having modules with side effects but what if you didn't.

I've been down this road with NFS (and SMB if it matters) and pain is the only thing that awaits you. It seems like they're feeling it. Storing what is spiritually executable code on shared storage was a never ending source of bugs and mysterious performance issues.
by zamadatix | 2025-08-08 18:30:09+00:00
I don't think there is such a thing as a general audience for AI imagery discussion yet, only enthusiasts. The closest thing might be the subset of folks who saw ChatGPT can make an anime version of their photo and tried it out or the large amount of folks that have heard the artist's pushback about the tools in general but not actually used them. They have no clue about any of the nuances discussed in the article though.
by righthand | 2025-08-08 18:30:26+00:00
I’m literally going to stop going to the doctor again for checkups until I can change my medical industry insurance payment plan. My current plan covers a yearly checkup but there was an issue and now I’m having monthly follow up calls with my doctor to describe results for $50 a pop. Just insane, I hope someone takes a stand against these companies even if it is Luigi-style.
by epolanski | 2025-08-08 18:30:28+00:00
I will just say that AI is forcing me to document and write a lot more than I used to, and I feel it's super boring yet beneficial for everyone, there are no more excuses to procrastinate on those aspects.

The difference from before was: all stakeholders lived on a shared yet personal interpretation of the domain (business, code, whatever). This often leads to wastes of times, onboarding issues, etc, etc.

LLMs are forcing me to plan, document and define everything, and I think that's making the codebases/documentation/tests/prs and myself all better.
by tracker1 | 2025-08-08 18:30:48+00:00
And how many people even know there are other PDS's? You install the official bsky app, you create an account and the account gets deleted, how are you supposed to know? There's no message, warning, alert, etc.

The vast majority of people using Bluesky don't use a 3rd party or self-hosted PDS because they aren't and probably shouldn't have to be aware of it. It isn't even a prominent feature. At least with Mastodon, it's a big part of the culture at its' core... you don't see this with the official app even.

I didn't even know that was even an option until you mentioned it. I only know that there have been banned accounts on the official/default one that didn't even post anything yet.
by trod1234 | 2025-08-08 18:31:20+00:00
Even then, that doesn't resolve the power outage primarily because the local nodes that your Modem transmits to will also be down in the area from same said power outage, most only have backup power for 10-30m, if even that many say there is no backup power for those which is why they disclaim that in their service agreement with regards to emergency phone calling over voip (for services that include unified communications).

So even if your local node could transmit, none of the others could, and they can't buffer either.

To mitigate power outage, you would need both power, and a cellular connection, and that connection would only be good for 2-3 hours (Cell tower backups), and those would require a Cradlepoint.
by faizshah | 2025-08-08 18:31:51+00:00
o3 was also an anomaly in terms of speed vs response quality and price vs performance. It used to be one of the fastest ways to do some basic web searches you would have done to get an answer if you used o3 pro you it would take 5x longer for not much better response.

So far I haven’t been impressed with GPT5 thinking but I can’t concretely say why yet. I am thinking of comparing the same prompt side by side between o3 and GPT5 thinking.

Also just from my first few hours with GPT5 Thinking I feel that it’s not as good at short prompts as o3 e.g instead of using a big xml or json prompt I would just type the shortest possible phrase for the task e.g “best gpu for home LLM inference vs cloud api.”
by lukeschlather | 2025-08-08 18:31:54+00:00
The problem isn't that content is AI generated, the problem is that the content is generated to maximize ad revenue (or some other kind of revenue) rather than maximize truth and usefulness. This has been the case pretty much since the Internet went commercial. Google was in a lot of ways created to solve this problem and it's been a constant struggle.

The problem isn't AI, the problem is the idea that advertising and PR markets are useful tools for organizing information rather than vaguely anarchist self-organizing collectives like Wikipedia or StackOverflow.
by tibbar | 2025-08-08 18:32:33+00:00
It's a good reminder that OpenAI isn't incentivized to have users spend a lot of time on their platform. Yes, they want people to be engaged and keep their subscription, but better if they can answer a question in few turns rather than many. This dynamic would change immediately if OpenAI introduced ads or some other way to monetize each minute spent on the platform.
by surfaceofthesun | 2025-08-08 18:32:53+00:00
You can't discount Baumol's cost disease. While it's true that government regulation is some part of it, like real declines in home building productivity in the previous decade or two, that certainly is not the root of the problem. Beyond limits to theoretical growth in productivity for these areas, there absolutely are perverse incentives in all of those industries.

For example, 40% of corn in the US goes towards <10% of of gas via ethanol. Even without subsidies, refiners would likely use some ethanol because it's a cheap octane booster. Insurers weren't regulating healthcare prices before the ACA and now face a profit limit tied to payouts -- which creates another perverse incentive. Doctors are incentivized to specialize instead of entering family medicine. They're also incentivized to run more tests defensively because they charge more and it reduces liability for malpractice.

Even in areas that are more builder-friendly, there is still incentive to build denser housing (which is more efficient) that maximizes return per sq ft. So you get studios, 1 bedroom, and 2 bedroom homes. And larger homes (built outside of onerous zoning areas) that more amenable to raising families end up creating unsustainable costs for local municipalities through sprawl.

Some of these areas can be addressed by a free market but maintaining a healthy market that minimizes perverse incentives requires significant tweaking (i.e. regulations)
by Alupis | 2025-08-08 18:33:08+00:00
Some context is available here: https://apnews.com/article/intel-trump-cotton-yeary-tan-2061...

FTA:

“In March 2025, Intel appointed Lip-Bu Tan as its new CEO,” Cotton wrote in the letter. “Mr. Tan reportedly controls dozens of Chinese companies and has a stake in hundreds of Chinese advanced-manufacturing and chip firms. At least eight of these companies reportedly have ties to the Chinese People’s Liberation Army.”