MurphyA/hacker-news huggingface dataset:
by austin-cheney | 2025-08-08 22:51:15+00:00
I am not preventing you from measuring things. The burden of proof is equally on everybody concerned with speed.

https://jsbench.github.io/#b39045cacae8d8c4a3ec044e538533dc

I cannot go back in time to 2015 conditions, but you can run the tests yourself and get your own numbers. Try running that in different browser and on different hardware. Another interesting thing is experimenting with is HTTP roundtrip speed and WebSocket send versus receive speed on different hardware.

This is interesting because many assumptions are immediately destroyed once the numbers come in. Many of these operations can execute dramatically faster on hardware with slower CPUs so long as the bus and memory speeds are greater.

What's also interesting is that many developers cannot measure things. It seems as if the very idea of independently measuring things is repulsive. Many developers just expect people to give them numbers of something and then don't know what to do with it, especially if the numbers challenge their assumptions, like cognitive conservatism.
by deaddodo | 2025-08-08 22:51:56+00:00
No they don’t. I mean, that is why they have that license (though PA Semi, the company they absorbed that develops their cores, also brought one along with them); but it’s not a special or unique license. Nvidia, Qualcomm, AMD, etc all have the same license.

Apple is near unique only in that they’ve pretty much never used reference implementations (since the PA Semi acquisition, at least) from ARM and stick to their pure bespoke microarchitectures. But they’re not the only company that could.
by teekert | 2025-08-08 22:51:57+00:00
I think you should. We make people feel bad for fleeing into drugs right? For gambling? We tell our kids it's bad.

But it's ok to get the same hits from a website that does everything in its power to keep your eyeballs glued to it? Like a slotmachine keeps you pulling that lever? Like heroine keeps you hunting for that next hit?

We're better off without it. We're better off telling each other it's bad.
by com2kid | 2025-08-08 22:52:04+00:00
> Like, just straight up can’t do it even though they’re advertised as being able to. Most of the models I’ve tried with Goose (models which say they can do tool calls) will respond to my questions about a codebase with “I don’t have any ability to read files, sorry!”

I'm working on solving this problem in two steps. The first is a library prefilled-json, that lets small models properly fill out JSON objects. The second is a unpublished library called Ultra Small Tool Call that presents tools in a way that small models can understand, and basically walks the model through filling out the tool call with the help of prefilled-json. It'll combine a number of techniques, including tool call RAG (pulls in tool definitions using RAG) and, honestly, just not throwing entire JSON schemas at the model but instead using context engineering to keep the model focused.

IMHO the better solution for local on device workflows would be if someone trained a custom small parameter model that just determined if a tool call was needed and if so which tool.
by theahura | 2025-08-08 22:52:11+00:00
I agree that they don't have other revenue paths and think that's a big issue for them. I disagree that this means they care about their original mission though; I think they're struggling to replicate their original insane step function model improvements and other players have caught up.

If you liked the general analysis of OpenAI and the AI space, you may appreciate https://open.substack.com/pub/theahura/p/tech-things-gemini-... Or https://open.substack.com/pub/theahura/p/tech-things-gpt-pro...

Which focus much more on macro analysis and less on memes
by pxc | 2025-08-08 22:52:39+00:00
It's sometimes useful, it seems. But when and why it helps is unclear and understudied, and the text produced in the "reasoning trace" doesn't necessarily correspond to or predict the text produced in the main response (which, of course, actual reasoning would).

Boosters will often retreat to "I don't care if the thing actually thinks", but the whole industry is trading on anthropomorphic notions like "intelligence", "reasoning", "thinking", "expertise", even "hallucination", etc., in order to drive the engine of the hype train.

The massive amounts of capital wouldn't be here without all that.
by Amezarak | 2025-08-08 22:53:12+00:00
Why would you suppose that a larger House would help keep the Executive in check? It seems more likely that the effect would be to dilute any individual House member's power and strengthen the party system.

> the meaning of Executive Powers has changed from "Congress tells me what to do, and I do it" to I am a mini-king.

I don't think John Adams, Lincoln, or FDR held anything close to the view that "Congress tells me what to do, and I do it."
by nosignono | 2025-08-08 22:53:57+00:00
> The only time democracy works incorruptibly is in small groups where everyone knows each other and everyone knows what's going on.

This is demonstrably untrue, there are plenty of cases of stable democratic systems. They just tend to exist outside of capitalism (or stand in opposition to traditional capitalist practice). It often relies on syndicalism or federation to stay distributed. Maybe that's compatible with your "small groups" statement, where many small groups coordinate together to form big groups to get things done.
by exasperaited | 2025-08-08 22:54:35+00:00
> most people want something that's the "latest"

Most people want something affordable and adequate.

> Academics care about speed, RAM, battery life, the ability to run the latest AI models at a decent speed (M4 is still relatively slow).

Most academics do not give a flying fuck about running local LLMs. Academia is more than LLM researchers.

Most academics probably care most about battery life and portability and whether it runs Teams, like every other person.
by com2kid | 2025-08-08 22:55:09+00:00
$2k laptops now days come with 16 cores. They are thermally limited, but they are going to get you 60-80% the perf of their desktop counterparts.

The real limit is on the Nvidia cards. They are cut down a fair bit, often with less VRAM until you really go up in price point.

They also come with NPUs but the docs are bad and none of the local LLM inference engines seem to use the NPU, even though they could in theory be happy running smaller models.
by hsbauauvhabzb | 2025-08-08 22:55:54+00:00
Leaving out ‘When did he pay to have someone killed’ from your question is disingenuous, because he directly did that.

He facilitated drug sales. If you setup ‘clucks brick and mortar Silk Road’ you’d be just as guilty.

I don’t think that was ever rosses ethical objective though, I’m pretty sure he felt that drugs should be less illegal and safe. I’m under the impression that Silk Road had rules on what could be sold, and that post SR markets do allow those things, but I could be wrong.
by mrandish | 2025-08-08 22:56:09+00:00
Wow, frankly many of these are kind of shocking to me. Thanks for posting them. It's causing me to substantially update my priors about LLM impact on the population of "regular consumers" and potential for negative unintended consequences. As a jaded technologist who's been watching new tech evolve for decades, I understand how LLMs work and am equally well aware of their innate shortcomings.

I've described LLMs to others as "An almost perfectly deceptive magic trick." By their nature LLMs look "smart" in virtually all of the ways typical people assess intelligence in daily interactions like breadth of knowledge, verbal competence, structural depth, detailed reasoning, etc. I accepted that based on such impressive results >95% of the time, many people would assume or infer greater veracity, intelligence, depth and competence to LLMs than they actually have. I also applied a sharp correction to my own confidence in LLMs, never forgetting it will insert made up facts in a long list of correct info and can't count how many "B"s are in "Blueberry". Being able to solve complex graduate math problems, write literature and pretty good poetry yet fail counting Bs in Blueberry is so counter-intuitive that many people can't reason effectively about such an alien kind of intelligence. LLMs are "Perfect Liars" because they first build immense credibility by being so smart, knowledgeable and useful, then only rarely hallucinate falsehoods that are usually incredibly plausible thus very difficult to spot and they believe their own lies completely and confidently.

I assumed that over time most people would experience these shortcomings and begin to lower their confidence in LLMs. What I missed was that so many people would use LLMs for things which aren't easily or immediately falsified. In hindsight, that was a big oversight on my part.
by xcf_seetan | 2025-08-08 22:56:37+00:00
The way I use Claude is like first i ask about research about what i want to do, what's new, any little known stuff, etc. As soon i get something i like, I ask Claude to make a specification with everything it needs for making this happen (this is for me to understand how things will be done. Then i ask for an analysis of the specification and ways it can make it short, but in a way it understands the specification and can use it to make things happen. When i got the specification ready, I just upload the specification and ask: start building phase 2. And that's it. It just generates the code, i move it to the ide and start reading and change whatever i want. If i find something diferent from the specification, or a new development, i just update the specification.
What's Your Favorite LLM –and Why?
by zyruh | 2025-08-08 22:57:41+00:00
There’s no shortage of large language models—ChatGPT, Claude, Perplexity, Mistral, Gemini, and more. Each has its strengths and quirks. I’m curious: which one do you find yourself using most often, and what makes it stand out for you? Is it accuracy, speed, personality, features, cost, or something else entirely? Looking forward to hearing your experiences and insights.
by Razengan | 2025-08-08 22:58:27+00:00
I have a 16" M2 Max with 32 GB of RAM and I do pretty much everything on it, and I've yet to have a moment where I thought "ugh I wish this was faster"

I used to upgrade computers every 1-1.5 years but I think I could easily roll with this for another 2-3 maybe even 4 or 5 years more.

Heck, even if I was given free money I'd be too lazy to switch to an M4 Max just because of the hassle of transferring data that isn't on iCloud/Time Machine.

I was waiting for the M5 to have some other substantial changes like in the display or sound etc.
by dragonwriter | 2025-08-08 22:58:31+00:00
> You know as well as I do that when Marx discussed "capitalists" he did not mean the rich.

Technically, not precisely “the rich”, but the people whose main interaction with rhe economy is through ownership of capital to which rented labor of others is applied (specifically, this is the haut bourgeoisie in Marxist theory.)

There is also the middle class (the petite bourgeoisie), those who have a (in broad terms) balance between ownership of capital and application of their own labor, most particulatly applying their own labor to their own capital as independent business operators as a kind of capitalists, but it was the haut bourgeoisie that Marx portrays as the problematic, exploitive, ruling class. The main issue with the petit bourgeoisie is their disinterest in improving the condition of the working class being exploited by the haut bourgeoisie; because they are already out of the state of alienation that comes from separation of labor and control of capital, and at risk of losing that status if they sufficiently rock the boat.

> He meant what we now call the middle class. Managers. Engineers. Store owners. (Small) company owners. Factory owners. Smaller landlords.

Nah, what we now call “the middle class” is mostly the middle income segment of the working class (Marx didn't really have a special term for them, for Lenin a lot of them would be in the proletarian intelligentsia.) But the group you name is a mix of them, the petit bourgeois, and in the case of factory owners the haut bourgeois (kind of weird that you think “factory owners” fits any modern definition of “middle class" that also includes line managers.)
by fzeroracer | 2025-08-08 23:00:23+00:00
And in doing so you are inadvertently providing cover for their actions. The constitution fuck up was likely a mistake, but at the same time you should be reacting like the way others did because it sends a clear, strong message that people are watching.

And in this scenario your counterargument is so incredibly weak that you're not knocking down anyone's claims, you're just weakening your own position.
by TheAlchemist | 2025-08-08 23:00:37+00:00
"but it's certainly not a fantasy to eliminate the human driver observation components and just let it rip"

Yes it is fantasy. This is the same thing like showing a mockup and saying - okay, that's it, now we 'just' need to implement and make it work.

FSD as an ADAS system is fantastic. But it's nowhere near a fully autonomous driving.
by krapp | 2025-08-08 23:01:44+00:00
They're probably completely serious. We've seen multiple stories about people getting into deep relationships with AIs and being driven to delusion and insanity by them.

Human connection can be difficult and dangerous, and a lot of people are deeply antisocial or fearful of interaction. Many peoples' primary means of communication was already through the abstraction of the internet before AI came along and a whole generation lost years of potential social development time to lockdowns.

It shouldn't surprise anyone that people connect with AI more deeply than they do to real people. AI is almost perfectly designed to encourage parasocial relationships.
by fsckboy | 2025-08-08 23:01:53+00:00
Elon started SpaceX for this specific purpose. I'm not aware that NASA has ever had that as a goal. Every fan of sci-fi has similar fantasies, nobody owns it. furthermore, I provided an actual link to the xkcd, and quoted the hover-caption. I think my comment made sense, and contributed, and I think Elon has contributed, and I was downvoted by you-know-exactly-who, the triggerypuffs, and this comment will probably be downvoted for coming even close to mentioning it, the free speech brigade will be here to let us know what is free and what is restricted.
by tornadofart | 2025-08-08 23:02:30+00:00
Author here.

I do not think at all that individual self-interest is our only motor. I'm saying we underestimate the extent to which it motivates us. I should probably clarify that.

My view of China is informed by my months-long stay there during the pandemic (among other stays but that was the most ... uh... impressive one). It is my only direct experience with autocracy and I assure you it was scary as heck. Make of that what you will.

And I'm European.
by treetalker | 2025-08-08 23:03:41+00:00
Keep in mind that a lot of Reddit accounts are bots and/or foreign troll-farms or scammers who rage-bait and karma-farm for unsavory purposes. But there are also lots of folks with genuine mental issues too.

Still, I'm with you on this one: there are at least some real people who seriously feel like that (TFA) about LLMs and it's pretty bonkers.
by scrlk | 2025-08-08 23:04:02+00:00
In crypto, you have centralised (e.g. Coinbase) and decentralised exchanges (e.g. Uniswap). Decentralised exchanges operate onchain via smart contracts.

This article from a16z explains the mechanics of reordering transactions for profit (MEV): https://a16zcrypto.com/posts/article/mev-explained/
by JohnFen | 2025-08-08 23:05:29+00:00
I see your stealth ad. I'll answer anyway. :)

Usually one. If I'm actively resarching something, it can go up to a dozen or so temporarily. In that situation, I'll also usually have multiple instances of the browser going to segregate topics. I tend to prefer multiple windows over multiple tabs because it makes it easier for me to navigate and keep more than one thing visible at a time.
by rbanffy | 2025-08-08 23:06:06+00:00
There are Windows laptops with faster GPUs. Being Nvidia certainly helps with software support.

Are they comparable? No way. Laptops with x86 CPUs and discrete GPUs need a lot of power and dissipate a lot of heat. This makes them larger, heavier, louder, and with terrible battery life. If they are gamer laptops, they also look like toys.
by manquer | 2025-08-08 23:07:15+00:00
The fastest away to acquire the know-how to do for Big Co is to get the talent who have spent the years in building the new tech.

Poaching, acquihirng or acquisitions and the myriad modern forms we are seeing today have been the tools and will not change.

Owners and beneficiaries of the capital do not change, but that is an artifact of our economic system and is much larger a socio-economic discussion beyond the scope of innovation and research
by lossolo | 2025-08-08 23:07:46+00:00
> You're asking for sea shipping to stop working because naval piracy is going to come back.

That's a huge exaggeration. Who would commit naval piracy in the current age? Somalia, with their little boats and AK-47s? China already has a bigger fleet than the US and can easily take on the burden of securing trade routes, since they are the biggest beneficiary.
by mathiaspoint | 2025-08-08 23:08:04+00:00
He didn't say it's not a big deal, he said checkups are relatively predictable. Those mean very different things. Moving the predictable costs behind insurance and administration artificially inflates it because there's less pressure on providers to compete.

If people weren't doing dumb things with insurance to try and socialize healthcare costs there's a good chance your friend would have been able to afford going to the doctor whether or not he was insured.
by TheAlchemist | 2025-08-08 23:09:15+00:00
What I'm pointing to is the absurdity of the situation. It was supposed to be a huge project, valued by some analysts at $600 billions, and years in the making. The CEO himself self recently they are on track to bring it online next year at a huge scale. 2 weeks ago he was still saying it, now it's axed.

It was clearly nowhere near where they said it was, or they would have some significant sunk costs and write downs. None of which exist in their financial statements for Dojo.

As for the ship sinking - I know it seems like a huge exaggeration now. But it's a car maker, with a collapsing sales and which made virtually all the profits from direct and indirect subsides - which just got axed too. That alone would be very worrying. But it's also a company which sold billions of $ of software that is still not working as advertised and lawsuit are only starting to come in. By their own admission the software won't work on >50% of cars they already sold and they would need to upgrade them 'sometime in the future'. Oh and the CEO is the most hated man in the US currently.
by mikewarot | 2025-08-08 23:09:44+00:00
The root cause of this is that HTML is not a language for the markup of hypertext.

Because everything has to be copied and/or compressed into a single layer document along with its markup, you almost never see actual markup in the web, just a lot of formatting and layout.

Because you can't have multiple markup of a given source material, adding multiple hierarchies doesn't happen. Any given information structure is necessarily oversimplified and thus only fit for limited use.

It's almost as if someone read Vannevar Bush's description of the memex and decided to actively prevent its reification.

He said the organization of knowledge was the largest challenge facing mankind post war. Clearly he was right, and we've failed miserably.

The thing LLMs provide is an impedance match between the data we do have, and the actual needs of mankind.
by aglobalstory | 2025-08-08 23:09:56+00:00
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by briansun | 2025-08-08 23:09:59+00:00
Thanks-this is genuinely encouraging; I'd assumed AI help was strongest on front-end work(web apps/SwiftUI), so this is my first concrete example of an LLM catching memory‑unsafe C/C++-could you share your toolchain (CLI/IDE integration) and model details (name/quant/runtime), and what "awesome" 100% on‑device Windows/Mac apps you most want to see?
by TheAceOfHearts | 2025-08-08 23:10:08+00:00
The legitimate use-cases for stealing focus are situations where an immediate response is required and timing is limited. For example: after you queue up for a ranked League of Legends game, there's a timed confirmation popup that appears when 10 players are found and which all players are required to accept before the game moves on to the draft.

In purely software spaces there's usually nothing that urgent happening. If something is really urgent it's usually going to be because it carries significant real-world consequences. Emergency alerts on smartphones are a good example of taking immediate priority over all other activities, especially if it's something like a warning of incoming missiles.
by johnecheck | 2025-08-08 23:10:37+00:00
I'd word that last idea differently. All democracies are vulnerable to corruption to a degree determined by factors like information quality and personal relationships/accountability. Small groups with great relationships and communication often work well democratically.

While larger democracies generally have fallen to increasing concentrations of wealth and power, I don't think we should conclude this is inevitable. We can do a lot better than this.
by zamadatix | 2025-08-08 23:10:49+00:00
It's tough for me to justify upgrading an M1 device to an M4 device for the AI performance improvement, going from an M4 to an M5 for a small segment of the user base is not moving the needle enough to sway something like this.

Anyone really geeked about AI performance to the level of not picking something because of it (be it price or performance) should not be looking at a laptop anyways.
by KronisLV | 2025-08-08 23:11:25+00:00
My current GPU is an Intel Arc B580 and before then it was the A580. They aren't perfect but now that they're coming down to MSRP, they're pretty good budget friendly options.

I would have also unironically gotten a Core Ultra CPU if the pricing was actually... well, not insane for the value (or lack thereof) that they have. A 245K would still be an improvement over my current 5800X, though I have no idea what they were thinking of with that pricing - if their CPU prices were as competitive as their GPU prices (vendors ignoring MSRP be damned), that sidegrade release might have not been as horrible. They're still modern CPUs that work pretty well.

Though when I buy Intel, it's mostly so I don't give even more money to Nvidia and support competition in the market (otherwise my build would be all AMD).
by rbanffy | 2025-08-08 23:13:17+00:00
> your older one is on its last breath.

For Apple computers, the last breath comes almost a decade after they were built.

If you wait until it dies, then you will want to get what's available at that time, but, if you plan from the start, you'll have a lot of flexibility with these machines.

My MBP is the same age as my Thinkpad, and looks much nicer.
by blumomo | 2025-08-08 23:13:28+00:00
I’m also interested in what you think can become best practices where we can have (auto-scaling) worker instances that can pick up DBOS workflows and execute them.

Do you think an app’s (e.g. FastAPI) backend should be the DBOS Client, submitting workflows to the DBOS instance? And then we can have multiple DBOS instances with each picking up jobs from a queue?