MurphyA/hacker-news huggingface dataset:
by wonderwonder | 2025-08-09 01:03:10+00:00
"There is resistance among farmers not only because the seeds are expensive, but also because the species used so far, especially Stylosanthes, do not persist when associated with Brachiaria grasses", Boddey explains. After some time in the field the leguminous plant wanes or dies, and it is necessary to renew the pasture, which entails further costs and work."

So the farmers did the math and the money doesn't work.

Scientists in this article seem very focused on the climate aspect of it while the farmers themselves are going to be focused on the bottom line. Farmers are not going to entail extra costs if they don't have to much the same as any other business owner.
by wizee | 2025-08-09 01:03:17+00:00
While cloud models are of course faster and smarter, I've been pretty happy running Qwen 3 Coder 30B-A3B on my M4 Max MacBook Pro. It has been a pretty good coding assistant for me with Aider, and it's also great for throwing code at and asking questions. For coding specifically, it feels roughly on par with SOTA models from mid-late 2024.

At small contexts with llama.cpp on my M4 Max, I get 90+ tokens/sec generation and 800+ tokens/sec prompt processing. Even at large contexts like 50k tokens, I still get fairly usable speeds (22 tok/s generation).
by throwawayyy54 | 2025-08-09 01:04:37+00:00
This article makes the case way better

https://acoup.blog/2024/07/05/collections-the-philosophy-of-...

The tl;dr is that Western societies sort of developed liberalism as a reaction to the vast destruction of the early modern wars of religion, and it persisted because liberal democraties tend to be more productive and better at war than their autocratic counterparts, and way better than their fascist counterparts.
by zmmmmm | 2025-08-09 01:06:51+00:00
The edge is, "it actually works". Eg: I just set the device to "mps" in PyTorch, everything is using the GPU.Until nVidia gets monopoly treatment for CUDA and are forced to open their software stack, Metal is the next best thing as far as I can tell.

Not to mention, I have no faith that these laptops won't thermally throttle - my fan only spins up when I'm running truly demanding workloads, the rest of the time the laptop might as well be fanless.
by roenxi | 2025-08-09 01:08:35+00:00
> Followed by a picture that is more or less inscrutable.

Yeah. Just to make it explicit - that chart has Deepseek r1 at ... presumably an elo of 1418 and Gemini Pro at 1463. That is comparable to the gap between Magnus Carlsen and Fabiano Caruana [0]. I don't think it is reasonable to complain about that sort of performance gap in practice - it is a capable model. Looking at the spread of scores I don't immediately see why someone even needs to use something in the Top 10, presumably anything above 1363 would be good enough for business, research and personal use.

None of these models have even been around that long, Deepseek was only released in January. The rate of change is massive, I expect to have access to an open source model that is better than anything on this leaderboard next year some time.

[0] https://2700chess.com/
by cube00 | 2025-08-09 01:08:59+00:00
I can't understand why all the AI services are allowed to get away with modes such as "deep thinking" and "deep research".

OpenAI even claims "reasoning" is available.

> Built-in agents – deep research, ChatGPT agent, and Codex can reason across your documents, tools, and codebases to save you hours

https://openai.com/chatgpt/pricing/
by Spartan-S63 | 2025-08-09 01:10:38+00:00
As someone who spent a few years in the codebase for Tracker. There was some attempt at “Clean Code” but mostly basic DRY techniques. The product, itself, was plagued by being in a split-brain reality of Backbone and React (we were migrating as much as possible to React). We never addressed performance low-hanging fruit for large projects and it’s because it affected relatively few customers.

That said, pairing has its ups and downs. I think as other folks have said, you miss out on being able to go deep on problems that require ruminating. You also lack overarching reviews that help to keep architecture clean. The code might be clean, but the architecture might get really messy really fast.
by AdieuToLogic | 2025-08-09 01:11:43+00:00
>> People are starving to death ...

> The only solution to those people starving to death is to kill the people that benefit from them starving to death.

There are solutions other than "to kill the people that benefit", such as what have existed for many years, including but not limited to:

- Efforts such as the recently emasculated USAID[0]. - Humanitarian NGO's[1] such as the World Central Kitchen[2] and the Red Cross[3]. - The will of those who could help to help those in need[4].

Note that none of the aforementioned require executions nor engineering prowess.

0 - https://en.wikipedia.org/wiki/United_States_Agency_for_Inter...

1 - https://en.wikipedia.org/wiki/Non-governmental_organization

2 - https://wck.org/

3 - https://en.wikipedia.org/wiki/International_Red_Cross_and_Re...

4 - https://en.wikipedia.org/wiki/Empathy
by davidmurdoch | 2025-08-09 01:12:25+00:00
I dropped $4k on an (Intel) laptop a few years ago. I thought it would blow my old 2012 core i7 out of the water. Editing photos in Lightroom and Photoshop often requires heavy sustained CPU work. Thermals in laptops is just not a solved problem. People who say laptops are fine replacements for desktops probably don't realize how much and how quickly thermals limit heavy multi-core CPU workloads.
by spwa4 | 2025-08-09 01:12:34+00:00
> Presumably the investor-appointees have broad experience with many other companies

Investors have experience "managing" money to themselves. What is controversial about this? It's like saying pilots have experience flying planes. These investors have a lot experience financializing everything about a company.

We know where that leads, and it's not to success ... well, except for the investors with inside information that get out at the right time.
by exasperaited | 2025-08-09 01:12:49+00:00
All political systems, no matter how well-designed, function largely on the basis of norms. Norms are why the UK's political system is fundamentally stable; norms (like "loyal opposition") were what kept the US system stable. It is not possible to design a system that works when people don't act like they want it to.

It has always been my impression from a distance that Americans believe the federal system was perfectly designed and is inherently robust, when in fact there have been concerns from day one about what would happen if it fell into the hands of a leader who didn't care for the law.

And that's where you are now.

But re: the executive orders, actually it is not clear that they can do this. As with many of Trump's EOs it may simply be illegal because -- newsflash -- Trump is a crook and he has no intention of following the law if it limits him.

This is a man who tried a coup and who has broad immunity for anything he does that even looks like governance, so why would he let a little thing like the law trouble him? It didn't bother him when he exported people to El Salvador without due process. It doesn't bother him that his "emergency" tariffs almost certainly lack a legal basis.

I don't think the good faith reasoning about the system being broken by design really matters: the USA is falling victim to an accelerated Hungary-style fascist restructuring.

Nixon looks like a boy scout by comparison.
by Amezarak | 2025-08-09 01:14:56+00:00
> They can buck the President and the Party, because they don't need their money for their constituents to know them.

They can’t do anything at all without convincing hundreds or thousands of other Representatives to agree with them. Coalition building is the only way to exercise legislative power (which requires majorities) and increasing the number of Representatives obviously makes that much more difficult on an individual level and strengthens party institutions by, well, institutionalizing them, as personal relationships obviously become totally insufficient.

Constituent support is not the problem. There are lots of “problem” Congressmen several Presidents would have liked to get rid of, even in recent times. Unless your constituents really love the President more than they love you it has not often worked.

The rest of your post is worth addressing but really misunderstands the way men like Adam’s and even Washington actually exercised and practiced the office. I think you’re focused to much on the different in legal phraseology. If you really care I may have time to write something up tomorrow.
by bigyabai | 2025-08-09 01:15:21+00:00
Chinese iCloud is hosted in domestic servers[0] with custom HSMs (Hardware Security Modules) installed[1] to geolocate E2EE keys for Chinese users in Chinese servers.

If Chinese authorities demanded physical access to the data there is nothing Apple can do to stop them. There is no proof that Apple provides credible security to these users and no historical audits that suggest they can.

[0] https://support.apple.com/en-us/111754

[1] https://www.nytimes.com/2017/07/12/business/apple-china-data...
by krapp | 2025-08-09 01:15:48+00:00
AFAIK that trophy goes to Blake Lemoine, who believed Google's LaMDA was sentient[0,1] three years ago, or more recently Geoff Lewis[2,3] who got gaslit into believing in some conspiracy theory incorporating SCP.

IDK what can be done about it. The internet and social media were already leading people into bubbles of hyperreality that got them into believing crazy things. But this is far more potent because of the way it can create an alternate reality using language, plugging it directly into a person's mind in ways that words and pictures on a screen can't even accomplish.

And we're probably not getting rid of AI anytime soon. It's already affected language, culture, society and humanity in deep and profound, and possibly irreversible ways. We've put all of our eggs into the AI basket, and it will suffuse as much of our lives as it can. So we just have to learn to adapt to the consequences.

[0] https://news.ycombinator.com/item?id=31704063

[1]https://www.washingtonpost.com/technology/2022/06/11/google-...

[1] https://futurism.com/openai-investor-chatgpt-mental-health

[2] https://news.ycombinator.com/item?id=44598817
by venusenvy47 | 2025-08-09 01:17:01+00:00
The big players use parallel processing of multiple users to keep the GPUs and memory filled as much as possible during the inference they are providing to users. They can make use of the fact that they have a fairly steady stream of requests coming into their data centers at all times. This article describes some of how this is accomplished.

https://www.infracloud.io/blogs/inference-parallelism/
by fooster | 2025-08-09 01:17:12+00:00
I get excellent results and don’t do anything like that. Basically I ask Claude to write code as I do. A small step at a time. I literally prompt it to do the next step I’d do and so on and so forth. I accept all changes immediate and then commit after every change and then review the diff. If Claude did some badness then I ask it to fix that. I typically also give references to existing code that I want it to model or functions to use.

This gives me excellent results with far less typing and time.
by cool_dude85 | 2025-08-09 01:17:21+00:00
But this is not meaningful. If I buy 10 dollars of stock, at 10% return I am earning 1 dollar per year. This amount is not relevant to my life in any way and is probably dwarfed by variation in the amount of cash I find lying on the ground annually.

It's like saying everyone has access to clean water, look over there, there's a drop.
by gnabgib | 2025-08-09 01:17:36+00:00
(Shingles vaccine) Related:

Shingles vaccine linked to reduction in dementia diagnoses, study finds (11 points, 4 months ago) https://news.ycombinator.com/item?id=43568131

Evidence that the shingles vaccine prevents a good chunk of dementia cases (667 points, 2023, 273 comments) https://news.ycombinator.com/item?id=36083620
by wonderwonder | 2025-08-09 01:17:52+00:00
I certainly don't speak for everyone but I don't see that catching on at the individual level. People eat the organic because its objectively healthier. I don't think most people that eat beef would care if its low carbon. I eat a good deal of beef, probably 3 steaks a week personally and another 3 in total for my wife and kids. I'm not going to pay x% more for low carbon. With that said I could absolutely see Europe mandating this and forcing everyone to just pay more for beef. So you're right, if they can target this at governments then they could force it to catch on.
by fooster | 2025-08-09 01:20:20+00:00
after 30+years of engineering writing lots of specs is mostly a waste of time. The problem is more or less you don’t know enough. The trick is to write the smallest simplest version of whatever you are trying to achieve and then iterate on that. Be prepared to throw it out. The nice thing with Claude (or Gemini) is that it lets to do this really really quickly.
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by martianmanhunt | 2025-08-09 01:20:42+00:00
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by botingw_job | 2025-08-09 01:20:48+00:00
Like many of you, I've been amazed by AI coding assistants but also incredibly frustrated by the "plausible-but-wrong" code they often produce. I'd ask a question about LangGraph, get a confident answer, and then spend 20 minutes debugging an error because the AI hallucinated a method or used a class that was deprecated two months ago. This project is my attempt to fix that by building what I call a "Grounded Assistant." The core idea is simple: an AI assistant should be grounded in the executable truth of a specific, version-controlled codebase, not just its general training data. Here’s how it works in practice: Grounding in Docs (RAG): When I ask a question (e.g., "How do I add persistence?"), the assistant doesn't just guess. It first performs a semantic search (RAG) against a local, version-correct copy of the LangGraph documentation to find the actual canonical examples and explanations. Code Generation: It then uses that specific, relevant context to generate the Python code. Self-Correction (Knowledge Graph): This is the crucial step. Before showing me the code, the assistant validates its own output against a Neo4j knowledge graph of the entire langgraph library. This acts as a pre-flight check, catching hallucinations like non-existent functions, incorrect parameters, or invalid class instantiations. It forces the AI to self-correct if its code doesn't align with the library's actual structure. The goal is to get code that is correct for my specific environment on the first try, dramatically cutting down on the debugging cycle. The project is open source and the README has the full details. I'd love to hear your thoughts and critiques on this approach! Happy to answer any questions.
by _heimdall | 2025-08-09 01:23:40+00:00
Isn't the ELIZA-Effect specific to computer programs?

Seeing human-like traits in pets or plants is a much trickier subject than seeing them in what is ultimate a machine developed entirely separately from the evolution of living organisms.

We simply don't know what its like to be a plant or a pet. We can't say they definitely have human-like traits, but we similarly can't rule it out. Some of the uncertainty is in the fact that we do share ancestors at some point, and our biology's aren't entirely distinct. The same isn't true when comparing humans and computer programs.
by spwa4 | 2025-08-09 01:25:40+00:00
Obviously Palestinians committing genocide is what started the current conflict. Just like every past conflict Palestinians were involved in, in at least 6 countries. It was always started by genocide. By Palestinians committing genocide against others. THAT, by the way, is proven and does not require rewriting definitions of genocide. They have declared their intent many times, and constantly attempt to commit genocide, in multiple countries and even on their own people.

Calling the IDF attacks genocide does require rewriting the definition of genocide. Because the Geneva convention states very clearly - anything used for military attacks is fair game for a counterattack. And hamas uses anything and everything, from hospitals to primary schools, to attack anyone they can get their hands on, even now including civilians in Israel. That is also FAR from the only violation of the Geneva conventions hamas commits on a regular basis.

Hell the previous conflict with Israel was started by Palestinians, hamas, committing genocide on Palestinians - including in the emergency room of Al Shifa hospital. In that hamas genocide at least one 13 year old was brutally murdered, in a hospital. Along with hundreds of others.

> Israel started a war with two other nations in the region: Iran and Lebanon

Only if you consider military attacks and firing rockets at Israeli civilians as not starting a war. Both Iran and Lebanon did that. And, of course, if military attacks and firing rockets is NOT starting a war, then nothing Israel did, including in Gaza, is a war.

So what are we arguing about exactly?
by Xinti | 2025-08-09 01:26:43+00:00
And that worked well against google right? Get over yourselves. You are fucked and just don't want to admit it. Think about this I'm Google: I have literally more money than you, I can hire 10 lawyers for each of yours looking for every technicality, loophole, stalling tactic, and typo in anything any of you do.

Guess who wins? Not John and Jane Schmoe. So yeah enjoy being bent over, and just ask for lube first.
by gnabgib | 2025-08-09 01:26:45+00:00
(2008) Popular in:

2023 (314 points, 180 comments) https://news.ycombinator.com/item?id=34971924

2020 (363 points, 143 comments) https://news.ycombinator.com/item?id=25296900

2012 (94+156 points, 70+61 comments) https://news.ycombinator.com/item?id=4640658 https://news.ycombinator.com/item?id=3466388
by brahhd | 2025-08-09 01:27:10+00:00
All of tech is propped up by the government.

GenX and Millennials watched too many "Sprite; you do you" commercials and grew up believing in their autonomy and freedom.

But American government was always at the wheel, via regulation, law, and drinks in DC off the clock.

It's all PR to say our system free market and the like. Intel wouldn't exist without falling in line over the decades.
by listlessjp | 2025-08-09 01:28:06+00:00
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by exasperaited | 2025-08-09 01:28:24+00:00
He doesn't want to destroy the USA. Well not quite.

He does want to fundamentally change it into an domestic empire -- a monarchical executive ruling over vassal states that have their own governments but must pay tribute.

Well... he wants it to look more like a mafia arrangement because he was jealous of those guys back when he had a mafia lawyer in the 1970s. He likes to pressure people to do him little favours in return for protection (which is literally what he was impeached for the first time). He thinks he can direct industry to do what he wants (and it looks like industry kind of agrees). It is clear he intends to meddle in state law.

They, the people around him, believe in what amounts to a unitary executive that converges on a form of monarchy. It's more or less central to the belief structure of a far-right guru, Curtis Yarvin (who is an ex tech guy and a nasty little racist dweeb):

https://en.wikipedia.org/wiki/Curtis_Yarvin

(He explicitly uses the word "monarch")

There are many Yarvinists in the executive branch. There are also many in the AI community, and Musk consulted Yarvin about The America Party.

Asserting control over academia is a Yarvin thing (and also a Viktor Orbán thing, because the model here is Hungary, quite deliberately, which is why e.g. Tucker Carlson and CPAC hang out there). That is what is going on here. They are injecting the executive into every part of academic life.
by hirvi74 | 2025-08-09 01:28:32+00:00
> so what happens when the "teaching" mode rethinks history, or math fundamentals?

The person attempting to learn either (hopefully) figures out the AI model was wrong, or sadly learns the wrong material. The level of impact is probably quite relative to how useful the knowledge is one's life.

The good or bad news, depending on how you look at it, is that humans are already great at rewriting history and believing wrong facts, so I am not entirely sure an LLM can do that much worse.

Maybe ChatGPT might just kill of the ignorant like it already has? GPT already told a user to combine bleach and vinegar, which produces chlorine gas. [1]

[1] https://futurism.com/chatgpt-bleach-vinegar
by temp0826 | 2025-08-09 01:29:45+00:00
Not sure I totally get it but I think it's pretty subjective, some people really loathe tobacco smoke. I'd personally never go out of my way to use a vape just for flavor (but I've never really liked flavors anyways and only went unflavored when I did it). To each their own shrug . It does suck that smoke sticks to everything and makes you reek.
by zahlman | 2025-08-09 01:29:53+00:00
> I also expect that nearly all new models would explain the behavior correctly if provided the output (or, equivalently, were able to run the code), but did not test this hypothesis either.

I'm not sure about that, considering that the output matches "intuition". Change the "rocket launching" text to something that doesn't imply that a countdown would make sense in context, and rename the class, and I'd expect the models to do considerably worse. So they shouldn't do better when provided the output, because in that case it isn't actually "new information".