MurphyA/hacker-news huggingface dataset:
by tempfile | 2025-08-05 17:17:28+00:00
> This is a false analogy.

I think you are describing something much more like stable diffusion. This article is about Perplexity, which is much closer to "watch a movie and tell me the plot" than it is like "take these 1000 movies and make a collage". The copyright points are different - stable diffusion are on much shakier ground than perplexity.

> Why does it have to be always about money?

Before I mentioned money I said "because it hurts my feelings". I'm sorry I can't give a more charitable interpretation, but I really do see this kind of objection as "I don't want you to have access to this web page because I don't like LLMs". This is not a principled objection, it is just "I don't like you, go away". I don't think this is a good principle to build the web on.

Obviously you can make your website private, if you want, and that would be a shame. But you can't have this kind of pick-and-choose "public when you feel like" option. By the way I did not mention, but I am ok with people using Anubis and the like as a compromise while the situation remains unjust. But the justification is very important.

> If companies can scrape my pages to sell my content as theirs, I can scrape theirs and unpaywall them.

This is probably not a gambit you want to make. You literally can do this, and they would probably like it if you did. You don't want to do that, because the output of LLMs is usually not that good.

In fact, LLM companies should probably be taxed, and the taxes used to fund real human AI-free creations. This will probably not happen, but I am used to disappointment.

> P.S.: Oh, try to claim that you can train a model with medical data

Medical data is not public, for good reasons.
by magicmicah85 | 2025-08-05 17:17:31+00:00
I would love this! There's a song I like by a band that broke up in 2013 and I am transcribing it by watching a live performance they did and trying my best but realizing I'm trying to take a mandolin/guitar and put it to acoustic. Even just being able to do a similar rendition would be nice by telling the AI "hey, do a twist on this and give me the chords/tabs".
by damascus_kei | 2025-08-05 17:17:44+00:00
Kagi has given me the most value per dollar out of any subscription I have ever had. I find the things I want much faster. I use the AI summarize; for example, to summarize YouTube video when looking for specific info or to summarize reddit web results. I also use Kagi Assistant everyday; usually several different models. Most importantly, my wife likes it. I find google almost unusable now. I can't go back. I will never go back.
by Leary | 2025-08-05 17:18:00+00:00
GPQA Diamond: gpt-oss-120b: 80.1%, Qwen3-235B-A22B-Thinking-2507: 81.1%

Humanity’s Last Exam: gpt-oss-120b (tools): 19.0%, gpt-oss-120b (no tools): 14.9%, Qwen3-235B-A22B-Thinking-2507: 18.2%
by chowells | 2025-08-05 17:18:00+00:00
I think you missed the thrust of OP. The submersible had instruments in it to report on the hull condition. They all were reporting it had previously experienced severe strain before the last dive, and they were designed as tripwires. If they tripped, the hull should have been considered unsafe and not used again. They were ignored.

It is a shock that they actually worked and reported the hull was unsafe before it failed. Given everything else, it's not a surprise in the slightest that they were ignored.
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by omarkhairy21 | 2025-08-05 17:18:12+00:00
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by amradio1989 | 2025-08-05 17:18:39+00:00
I could be wrong, but I think the use case here is mainly for non-artists in domains where the music is not particularly important.

For example, a podcaster/youtuber may want a short intro track. An entertainer or a marketer may want some generic or silly background music.

Does it have a use case for a producer/musician? Maybe. It might give them ideas for chord progressions, melodies, etc. But real music does that too, and much more effectively.
by MutedEstate45 | 2025-08-05 17:18:59+00:00
The repeated safety testing delays might not be purely about technical risks like misuse or jailbreaks. Releasing open weights means relinquishing the control OpenAI has had since GPT-3. No rate limits, no enforceable RLHF guardrails, no audit trail. Unlike API access, open models can't be monitored or revoked. So safety may partly reflect OpenAI's internal reckoning with that irreversible shift in power, not just model alignment per se. What do you guys think?
by gpm | 2025-08-05 17:18:59+00:00
I notice that on the "Agentic Coding" benchmark cited in the article Sonnet 4 outperformed Opus 4 (by 0.2%), and under performs Opus 4.1 (by -1.8%).

So this release might change that consensus? If you believe the benchmarks are reflective of reality anyways.
by bakuninsbart | 2025-08-05 17:19:02+00:00
Why wouldn't it? I still have to hear one convincing argument how our brain isn't working as a function of probable next best actions. When you look at amoebas work, and animals that are somewhere between them and us in intelligence, and then us, it is a very similar kind of progression we see with current LLMs, from almost no state of the world, to a pretty solid one.
by hinkley | 2025-08-05 17:19:17+00:00
If I took all the coworkers I’ve had in 30 years of coding whom I could really trust with the sort of bit fiddling array buffers, I could populate maybe two companies and everyone else would be fucked.

TypedArray is a toy. Very few domains actually work well with this sort of data. Statistics, yes. Games? Do all the time, but also games: are full of glitches used by speed runners, due to games playing fast and loose to maintain an illusion they are doing much more per second than they should be able to.

DataView is a bit better. I am endlessly amazed at how many times I managed to read people talk about TypedArrays and SharedByteArrays before I discovered that DataView exists and has existed basically forever. Somebody should have mentioned it a lot, lot sooner.
by legitster | 2025-08-05 17:19:46+00:00
> Also, I'm not really aware of anyone that is truly without "internet access" as cell phones have basically filled that area in years ago.

I mean, this is basically it. For paying bills, doing school work, messaging, getting news, etc the options these days are affordable and very convenient. Even video calling and streaming videos doesn't really affect my data plan too much.

The only advantage of a hardline to your house is if you are going to do copious amounts of high-def streaming or you need a very stable connection. More of a luxury/hobby resource.
by cootsnuck | 2025-08-05 17:19:47+00:00
Agreed. LLMs are tools just like any other. If someone builds you a shitty shed we wouldn't blame the tools, and we also would not be satisfied if they blamed the tools on their shoddy work either.

I think a lot of the discourse just shows we're still in the early days for adoption and maturity of this tech. (Not to blame the discourse, I think it's a reflection of the state of the tools and industry.)

Eventually, likely at least a couple years from now, more people will have better technical literacy when it comes to LLMs. And it will become less and less acceptable to put out slop with them in most professional settings. I just think human disgust is too strong of an emotion to acclimate to the laziest of LLM outputs.

I mean I think it's already happening before our eyes. I've been pleasantly surprised by how many more people I see talking in much more detail about the unique qualities of LLM outputs. And slowly, but surely the discourse is becoming less about moral panic and more just about questioning their use. Which has to happen for us all to collectively (and individually) figure out where and what is the place for LLMs in our personal and professional lives.
by ahmedhawas123 | 2025-08-05 17:20:14+00:00
Exciting as this is to toy around with...

Perhaps I missed it somewhere, but I find it frustrating that, unlike most other open weight models and despite this being an open release, OpenAI has chosen to provide pretty minimal transparency regarding model architecture and training. It's become the norm for LLama, Deepseek, Qwenn, Mistral and others to provide a pretty detailed write up on the model which allows researchers to advance and compare notes.
by freeopinion | 2025-08-05 17:20:14+00:00
You are concerned that a vendor who failed to deliver a product you ordered might cancel your account if you place a chargeback on the order?

If that is a fear shared among the general population, shouldn't that be a clear anti-trust concern?

Is losing your Amazon account that big of a deal? Are there really no practical alternatives? Is this fear of displeasing Amazon rational? If so, how come I don't hear any bells going off in government regulators?
by arp242 | 2025-08-05 17:20:32+00:00
I believe most stuff gets loaded via a JSON API now, and HTML rendered in JS via Rect. Maybe even all of it?

For example the file overview has 14(!) requests (/recently-touched-branches, /latest-commit, /overview-files/{branch}, etc.).

The issues list uses 5(!) requests to the GraphQL API. Didn't look in to why it needs five requests.
by sadiq | 2025-08-05 17:20:35+00:00
Looks like Groq (at 1k+ tokens/second) and Fireworks are already live on openrouter: https://openrouter.ai/openai/gpt-oss-120b

$0.15M in / $0.6-0.75M out

edit: Now Cerebras too at 3,815 tps for $0.25M / $0.69M out.
by didibus | 2025-08-05 17:20:42+00:00
> engineers that really know how to use this stuff effectively

I guess this is still the "caveat" that can keep the hype hopes going. But I've found at a team velocity level, with our teams, where everyone is actively using agentic coding like Claude Code on the daily, we actually didn't see an increase in team velocity yet.

I'm curious to hear anecdotal from other teams, has your team seen velocity increase since it adopted agentic AI?
by darth_avocado | 2025-08-05 17:21:08+00:00
A lot of criticism of AI in music seems to be around the lack of originality and it being generic slop. But unfortunately that’s true for pretty much the entire music industry. Handful of people write songs for all the artists, “artists” don’t create the songs as much as they perform them, most of the music isn’t created but rather sampled or is “inspired” by other music and pretty much most of the artists sound like other artists.

Yes there are smaller creators who are trying to make something net new, but unfortunately 99.9% of the small artists are also derivative and lack originality.

I see AI music as just continuation of the sad state of the industry at the moment. Hopefully it accelerates the demise of the industry as we know it and restarts the cycle of creation.
by skeledrew | 2025-08-05 17:21:25+00:00
> In the long term, we need an incentive for the content creators to willingly allow such processing. Otherwise, a lot of high quality content will eventually become members-only with DRM-like anti agent protections.

I partially agree with this. Yes, some incentive is OK, for some cases. I wouldn't be OK with a mandatory header/message for example showing up in my output, unless there's some very direct relevance to the content. But there could be some kind of tipper markup/code embedded in the site metadata that my agent abstracts away as content rating feedback options, and tips automatically made on my behalf if I have it configured and selected the "useful" option. Of course source citation should also be a mandatory part of the output, for that branding and also in case there's desire to go beyond the output.

However, there will also always be content authors out there who share quality content freely with no expectation of any kind of return. The "problem" is that such content usually isn't SEO-optimized, and so likely won't be in the top results. There will be little lost if those optimizing for return start blocking their content as they'll also be automatically deranked, by virtue of content access issues, and the non-optimized content will then rise to the surface.

TL;DR: suggested configurable creator-tipping system abstracted behind feedback options, and the likely case that those who block access will be deranked in favor of those maintaining open access.
by sigbottle | 2025-08-05 17:21:30+00:00
Its probably different depending on how much observability you have into the system.

Hardware, at least to me, seems impossible to debug from first principles, too many moving parts from phenomenon too tiny to see and from multiple different vendors.

Software is at a higher level of abstraction and you can associate a bug to some lines of code. Of course this means that you're writing way more code so the eventual complexity can grow to infinity by having like 4 different software systems have subtly different invariants that just causes a program to crash in a specific way.

Math proofs are the extreme end of this - technically all the words are there! Am i going to understand all of them? Maybe, but definitely not on the first pass.

Meh you can make the argument that if all the thoughts are in the abstract it becomes hard to debug again which is fair.

That doesn't mean any one is harder than the other and obviously between different problems in said disciplines you have different levels of observability. But yea idk
by elviejo | 2025-08-05 17:21:34+00:00
The Goal and It's not luck by Goldratt.

Showed a better way to manage anything in particular ourselves.

Man's Search For Meaning by Viktor Frankl even in the darkest of times we kind find Meaning.

A Guide to the good life. The stoics found a way to handle our human experience 2500 years ago.

The mythical man month by Brooks. Everything we struggle with in software development we have been fighting since the 70s.
by ggregoire | 2025-08-05 17:21:39+00:00
I've toyed with various JS charting libraries over the last 15 years and I always come back to Echarts. Other libraries always miss options you eventually need if you are trying to do anything non trivial (e.g. the last one I tried didn't support multiple Y axises). It's feature complete while not having the complexity of coding a chart from scratch with D3. Works well with React too.
by nivivon | 2025-08-05 17:21:41+00:00
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by mrbungie | 2025-08-05 17:21:44+00:00
Pretty sure we're talking past each other. If you want to continue investing on this: the perverse incentive is similar to dating apps. If you totally solve your problem with less tokens/turns, you eventually churn, paying less.

You can argue if they actually choose to follow it or not, but the objective truth is that the perverse incentive is there.
by Pocomano | 2025-08-05 17:21:54+00:00
Location: Chicago, IL Remote: Yes (Open to Onsite)

Willing to relocate: Yes

Technologies: Typescript, react, NodeJs, NextJs, C#, .NET, Python, SQL, PostgesQL, MongoDB, Docker, AWS, Azure, Kubernetes.

Résumé/CV:https://drive.google.com/file/d/1aE88_EOY26bfuEVSMwIWQ3xNYd3...

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by NicuCalcea | 2025-08-05 17:22:24+00:00
Yandex isn't just an honest business trying to survive in Putin's Russia, it actively manipulates results to push Kremlin propaganda. It only returned negative coverage about Navalny and called it an "experiment" when it was caught. It actively blocks images of Putin when you search for "bunker grandpa", a common nickname for him. It replaces links to the anti-Putin Freedom of Russia Legion and the Russian Volunteer Corps with links to FSB-controlled honeypots. Its largest shareholders are Russian oligarchs, state-owned banks and oil companies.

Maybe they have to do it to survive, who knows, but you don't have to use their services or products that resell their services.
by tharmas | 2025-08-05 17:22:25+00:00
Nuclear is very expensive to build. It takes a long time to build. Also, it takes quite a bit of time to power up and power down a nuclear power plant. Nuclear plants use a lot of water. Water that could be used to cool the AI hardware. As a result nuclear power isn't cheap.

Then there is still the safety issues and environmental concerns regarding the waste. Some people say they are safe now and you can just bury the waste deep underground. Putting it deep underground seems a bit like just pumping the carbon into the air: someone else's problem further down the line in time.

Do you want to live next to a Nuclear Power Plant?
by tngranados | 2025-08-05 17:22:29+00:00
The first line of the articles says "seven-millionths of a second", which would be 1/7μs or 0,14μs. They also mention that the camera shot 16 frames in that period, so that would be once every 0,00875μs or once every 8,75ns

Youtubers are a couple of magnitudes away from that, AFAIK
by moi2388 | 2025-08-05 17:22:37+00:00
No. But claiming that a comet, which we know is a comet, might be a potentially hostile alien spacecraft is it the very least dishonest, but if claim also unfair and harmful for the general public and how they think about science.

I don’t buy for a second Avi Loeb actually believes this; it’s just to up his citation index. I think it’s disgusting.
by bigbuppo | 2025-08-05 17:22:41+00:00
Well, they've done it boys, they've made creative fulfillment obsolete. They've DISRUPTED the concept of going to big music festivals, and small cozy shows. Just plug your ear holes with the AI slop bucket's pure beeps and boops and never have to worry again about paying artists for music. You can pay a techbro instead.

This is like the dotcom era of where every idiotic idea that ended with, "but on the internet", would get a pile of cash thrown at it. We are officially at the beginning of the end. It's only going to get dumber from here.
by jimbo808 | 2025-08-05 17:22:42+00:00
> If you believe the benchmarks are reflective of reality anyways.

That's a big "if." But yeah, I can't tell a difference subjectively between Opus and Sonnet, other than maybe a sort of placebo effect. I'm more careful to write quality prompts when using Opus, because I don't want to waste the 5x more expensive tokens.
by msukkarieh | 2025-08-05 17:22:55+00:00
> When you write code, how much of your time do you truly spend pushing buttons on the keyboard? It's probably less than you think. Much of your prime coding time is actually reading and thinking

Totally agree, IMO there's a lot of potential for these tools to help with code understanding and not just generation. Shameless plug for a code understanding tool we've been working on that helps with this: https://github.com/sourcebot-dev/sourcebot
by tw04 | 2025-08-05 17:22:58+00:00
> With satellite internet from starlink (and I think amazon is attempting their own version?) I don't see how running internet over wires to rural housing could ever be seen as a good expenditure of money.

That was the same excuse used when nobody wanted to wire rural America for electricity. It was a bad take then and a worse take now.

Wiring those homes with single-mode fiber once will provide modern broadband for at least the next 50 years, if not longer.

Satellite is not and will never be a replacement for fiber.
by prodbro | 2025-08-05 17:23:40+00:00
> I hate when someone's software advertises itself as 'blazingly fast' and then provides NO DATA to back up the claim

agree, that's why there is a performance benchmark at https://stratdev3.github.io/SimpleW/guide/performances.html with code as you can reproduce at your own.

i'm adding other tests, more complete than the hello world one.
by incomingpain | 2025-08-05 17:23:41+00:00
I dont see the unsloth files yet but they'll be here: https://huggingface.co/unsloth/gpt-oss-20b-GGUF

Super excited to test these out.

The benchmarks from 20B are blowing away major >500b models. Insane.

On my hardware.

43 tokens/sec.

I got an error with flash attention turning on. Cant run it with flash attention?

31,000 context is max it will allow or model wont load.

no kv or v quantization.
by crvdgc | 2025-08-05 17:23:58+00:00
> 10x productivity means ten times the outcomes, not ten times the lines of code. This means what you used to ship in a quarter you now ship in a week and a half.

This assumes the acceleration happens on all tasks. Amdahl's law states that the overall acceleration is constrained by the portion of the accelerated work. Probably it's just unclear if the "engineer" or "productivity" means the programming part or the overall process.
by grvdrm | 2025-08-05 17:24:02+00:00
I’m not an engineer by profession but am building a consulting practice solo.

The main concern I have is whether solo work is training me to deprioritize friends/friendships. Sometimes I think yes, sometimes no. Especially as a male with all the commentary these days about how men don’t know how to be friends and do things with each other.

But on the other hand, I’m never stressed by someone’s end of day or rush request or anything like that.

I am the least stressed for the longest period of time that I can remember. Easy to forget for the benefit of other things but I think it is so important.

So I do bounce things off my clients. They pay me. So we talk quite a bit. And I’ve found lots of other folks doing what I’m doing. We collaborate, share, and commiserate as much as we can.