MurphyA/hacker-news huggingface dataset:
by AstroBen | 2025-05-20 15:06:51+00:00
The only reason to listen to this would be to be naive about how capitalism works. Come on..

The goal here is for it to be able to do everything, taking 100% of the work

2nd best is to do the hard, big value adds so companies can hire cheap labor for the boring shit

3rd best is to only do the mundane and boring stuff
by TheRealPomax | 2025-05-20 15:06:57+00:00
Protecting your name is perfectly fine. You're allowed to make a fork of Firefox, you just can't call it Firefox or use any of Mozilla's branding. You're allowed to fork the open source part of VS Code, you just can't call it that or use Microsoft's branding. etc. etc. - you're free to do with open source whatever the license allows, but you're not allowed to use the original name or branding because you have zero rights to those unless the license explicitly stipulates how the name may be used by forks (like how tons of folks use the "Linux" name, and all of them do so with explicit written permission from the Linux foundation, as they own that name as a trademark)
by theahura | 2025-05-20 15:07:36+00:00
I say this as someone who has been in deep learning for over a decade now: this is pretty wrong, both on the merits (data obviously lives on a manifold) and on its applications to deep learning (cf chris olah's blog as an example from 2014, which is linked in my post -- https://colah.github.io/posts/2014-03-NN-Manifolds-Topology/). Embedding spaces are called 'spaces' for a reason. GANs, VAEs, contrastive losses -- all of these are about constructing vector manifolds that you can 'walk' to produce different kinds of data.
by bluefirebrand | 2025-05-20 15:07:38+00:00
I suspect humans are much more influenced by recency bias though

For example, if you have 100 resumes to go through, are you likely to pick one of the first ones?

Maybe, if you just don't want to go through all 100

But if you do go through all 100, I suspect that most of the resumes you select are near the end of the stack of resumes

Because you won't really remember much about the ones you looked at earlier unless they really impressed you
by gosub100 | 2025-05-20 15:08:24+00:00
I was excited about it too, even just having a tmux and using it for grepping and file copying. Then after a year or two on windows, my computer started slowing down. Tale as old as time. I'm not surprised, and some of the issues aren't ms' fault, but nevertheless I see CPU spikes to 100 with several browser tabs open, or the drawing tablet driver goes to 100% cpu usage even though I never even use it. The UX shouldn't degrade like a mechanical system.
Show HN: A Tiling Window Manager for Windows, Written in Janet
by agentkilo | 2025-05-20 15:08:42+00:00
Hi HN!

I read[1] about Janet[2] some time ago, then immediately got impressed by the enthusiasm of its community, and by the language itself, so I started playing with it.

At the time I was searching for a tiling window manager for Windows, and unavoidably the idea of scratching my own itch with Janet got hold of me, so Jwno was born.

Simply put, Jwno is a keyboard-driven tiling window manager for Windows, scriptable with Janet. But since it has a complete Lisp runtime, and a thin wrapper library for Win32 APIs[3], you can certainly do much more with it.

I hope you'll enjoy playing with it as much as I enjoyed building it.

And yes, I use StumpWM on the Linux side, by the way.

[1]: https://ianthehenry.com/posts/why-janet/

[2]: https://janet-lang.org/

[3]: https://github.com/agent-kilo/jw32
by smarterclayton | 2025-05-20 15:09:06+00:00
llm-d would make sense if you are running a very large production LLM serving setup - say 5+ full H100 hosts. The aim is to be much more focused than kserve is on exactly the needs of serving LLMs. It would of course be possible to run alongside kserve, but the user we are targeting is not typically a kserve deployer today.
by koakuma-chan | 2025-05-20 15:09:08+00:00
> "Vibe coding" as a concept is a fun joke, not a workflow you employ for doing serious engineering.

Well I guess making Next.js apps isn't really "serious engineering"

> Read the code yourself, otherwise it'll be really hard to call yourself any sort of engineer.

I do read the code but I barely write any code by hand.
by motoboi | 2025-05-20 15:09:19+00:00
Transformers don't feel differentiable (because of the attention mechanism), but they actually are (as being back-propagation based forces it to be).

The attention mechanism is not a stretching of the manifold, but is trained to be able to measure distances in the manifold surface, which is stretched and deformed (or transformed?) in the feed-forward layers.
by lor_louis | 2025-05-20 15:09:44+00:00
Oh by "more complex" operations I referred to multiple cursors and multi line regex searches. I've noticed some performance problems in my own editor but it's mostly because "lines" become fragmented, if you allocate all the lines with their own allocation, they might be far away from each other in memory. It's especially true when programming where lines are relatively short.

Regex searches and code highlight might introduce some hitches due to all of the seeking.
by tsumnia | 2025-05-20 15:09:44+00:00
I recently used Gemini's Deep Research function for a literature review of color theory in regards to educational materials like PowerPoint slides. I did specifically mention Mayer's Multimedia Learning work [1].

It does a fairly decent job at finding source material that supported what I was looking for. However, I will say that it tailored some of the terminology a little TOO much on Mayer's work. It didn't start to use terms from cognitive load theory until later in its literature review, which was a little annoying.

We're still in the initial stages of figuring out how to interact with LLMs, but I am glad that one of the unpinning mentalities to it is essentially "don't believe everything you read" and "do your own research". It doesn't solve the more general attention problem (people will seek out information that reinforces their opinions), but Gemini did provide me with a good starting off point for research.

[1] https://psycnet.apa.org/record/2015-00153-001
by bluefirebrand | 2025-05-20 15:09:59+00:00
> Is an LLM more or less biased than a typical human based process

Being biased isn't really the problem

Being able to identify the bias so we can control for it, introduce process to manage it, that's the problem

We have quite a lot of experience with identifying and controlling for human bias at this point and almost zero with identifying and controlling for LLM bias
by ty6853 | 2025-05-20 15:10:57+00:00
Not going to be answered in a one liner but the short answer is historically it had about the highest density of value that was relatively easy transport, divide, and the inflationary properties though highly imperfect were less susceptible than that of factories or railroads. Humanity came to it empirically.

Many people have suggested alternatives such as units of energy or baskets of goods but at the end of the day there is no perfect unit, dollars being backed by essentially largely threat of imprisonment if you don't pay your taxes and scarcity of how many the government decides to 'print' is yet another arbitrary choice of backing.
by ogogmad | 2025-05-20 15:11:41+00:00
The connections of deep learning to stat-mech and thermodynamics are really cool.

It's led me to wonder about the origin of the probability distributions in stat-mech. Physical randomness is mostly a fiction (outside maybe quantum mechanics) so probability theory must be a convenient fiction. But objectively speaking, where then do the probabilities in stat-mech come from? So far, I've noticed that the (generalised) Boltzmann distribution serves as the bridge between probability theory and thermodynamics: It lets us take non-probabilistic physics and invent probabilities in a useful way.
by mdaniel | 2025-05-20 15:11:51+00:00
In fairness, the opposite way usually ends up being much cheaper: make prod run arm64

I would guess that just `alias docker="docker --platform=linux/amd64"` type thing would go a long way toward evicting those platform mismatches[1]. I would also guess there's a way to switch off the binfmt "helper" in colima such that trying to run arm64 in the VM would immediately puke rather than silently helping you

1: or, of course, don't push production containers from your workstation, but the years have taught me that I'm talking to myself
by DrNosferatu | 2025-05-20 15:12:46+00:00
You know what?

European Democracies should start a, new, NATO-like military Alliance on their own, but without Trump's America.

(and without the notorious US-made military equipment kill-switches)

And while we're at it, this time will be different: Instead of the membership criteria being anti-soviet communism, as in NATO, it should be effective Liberal Democracy - and - Freedom from Exceptionalist Exemptions, namely from the International Rule of Law. So, to be part,

1. Compulsory International Criminal Court membership and compliance - hence no exceptionalistic US, no exceptionalistic Israel - and now, no Orbanic Hungary.

2. No "Illiberal Democracies": say, for example, a composite of a minimum 0.67 score on the WJP Rule of Law Index and others: therefore no Orbanic Hungary, and no illiberal others like it. Poland, Slovakia, Italy: time to make some hard choices if you want in.

3. Democratic backsliding removes you rights in the Alliance, and, can proportionally lead to outright expulsion.

Not one more new military equipment purchase from the US, (and dispreference for other non-qualifying nations procurement). Member nations should use their - substantial - industrial capacity to equip themselves with indigenous military materiel.

Hey, it would be actually great for the economy!

Initially European scope, but bridges to a broader global scope (or even a secondary sister-Alliance) with open-ended partnerships with Canada, Australia, New Zealand, Japan, South Korea, and yes: Taiwan.

US and/or Israel want to join, if a more Democratic future selves? Simple: fully join the ICC, and meet the Alliance's full criteria as every other member. Same applies for prospective new members.

Sweden shows how principled positions can be maintained while building serious defense capabilities. Now multiply that model by Europe's combined industrial and technological base.

We just need the political will to execute - instead of rolling over and wagging our tail to bullies.
by gitremote | 2025-05-20 15:13:40+00:00
This study shows the opposite:

> In their study, Moss-Racusin and her colleagues created a fictitious resume of an applicant for a lab manager position. Two versions of the resume were produced that varied in only one, very significant, detail: the name at the top. One applicant was named Jennifer and the other John. Moss-Racusin and her colleagues then asked STEM professors from across the country to assess the resume. Over one hundred biologists, chemists, and physicists at academic institutions agreed to do so. Each scientist was randomly assigned to review either Jennifer or John's resume.

> The results were surprising—they show that the decision makers did not evaluate the resume purely on its merits. Despite having the exact same qualifications and experience as John, Jennifer was perceived as significantly less competent. As a result, Jenifer experienced a number of disadvantages that would have hindered her career advancement if she were a real applicant. Because they perceived the female candidate as less competent, the scientists in the study were less willing to mentor Jennifer or to hire her as a lab manager. They also recommended paying her a lower salary. Jennifer was offered, on average, $4,000 per year (13%) less than John.

https://gender.stanford.edu/news/why-does-john-get-stem-job-...
by corimaith | 2025-05-20 15:13:56+00:00
Keynes's argument of the International Clearing Union and the associated Bancor was primairly concerned with the need to manually balance trade balances rather than rely on FX exchanges. That would be achieved via manually setting FX exchange rates to heavily punish surplus countries (which should be happening normally in FX but isn't for various reasons).

The US chose to maintain a reserve USD pegged to gold instead back when they were running a massive trade surplus, but with the collapse of Bretton-Woods the situation in many ways has inverted. In any case, there is increasingly call by many in recent administrations, from Trump's policy advisors to Biden's Katherine Tao to return to the proposals of the ICU. While I don't think Trump's attempt to rebalance trade while still having the US reserve currency will work, I also don't think the Americans are that attached to that prestige to be willing to give it up in order resolve global trade balances and at home. It's not difficult to deal currency freezes with the right friends if you really wish, the real sting of US sanctions has always being barred access to the lucrative US market.

Of course, in the event that the ICU emerges, it would greatly harm the interests of surplus economies like China, Europe, Vietnam, Japan, etc, hence why they largely support the status quo of the US reserve currency rather than changing it, because they've decided that the benefits of surpluses exceeds the benefits of a deficit as a reserve currency.
by terabytest | 2025-05-20 15:13:59+00:00
I'm confused by the author's diagram claiming that AGI/ASI are points on the same manifold as next token prediction, chat models, and CoT models. While the latter three are provably part of the same manifold, what justifies placing AGI/ASI there too?

What if the models capable of CoT aren't and will never be, regardless of topological manipulation, capable of processes that could be considered AGI? For example, human intelligence (the closest thing we know to AGI) requires extremely complex sensory and internal feedback loops and continuous processing unlike autoregressive models' discrete processing.

As a layman, this matches my intuition that LLMs are not at all in the same family of systems as the ones capable of generating intelligence or consciousness.
by ffsm8 | 2025-05-20 15:14:03+00:00
Mark Twain was born in 1835, made the quote in 97 and died in 10.

So the quote was done around 60 yrs old. And he perished roughly 1/4 of the of the time later.

Demo was released in 2018, it has now quoted the statement, 7 yrs later. I guess the next 2 years are gonna be interesting?
by fatbird | 2025-05-20 15:14:19+00:00
That $1T isn't an expense. Part of it is operational, meaning keepiong boats and bases running around the world, which earns the US yet more influence and soft power and unearned media. Much of it is acquisition costs, meaning $ going into a US defense tech for research and procurement of the most advanced hardware and maintenance of those industrial bases to do so; that hardware then gets sold to allies, among other things. Saudi Arabie just purchased $142 billion of US hardware.

Playing "world cop" is a net win for America, not a cost it bears.
by jvanderbot | 2025-05-20 15:14:37+00:00
I suspect, as a layperson who watches people make decisions all the time, that somewhere in our mind is a "certainty checker".

We don't do logic itself, we just create logic from certainty as part of verbal reasoning. It's our messy internal inference of likelihoods that causes us to pause and think, or dash forward with confidence, and convincing others is the only place we need things like "theorems".

This is the only way I can square things like intuition, writing to formalize thoughts, verbal argument, etc, with the fact that people are just so mushy all the time.
by jchw | 2025-05-20 15:14:40+00:00
This is the same basic reply as the other one but my thoughts are roughly the same. The only comment I have aside from what I replied on the sibling comment (this just being another case of wrappers not being transparent biting us in the ass) is that they could've done this in a more generic way than they did, at the downside of requiring more interfaces.
by diggan | 2025-05-20 15:15:13+00:00
> Well I guess making Next.js apps isn't really "serious engineering"

Where did I say that?

> I do read the code but I barely write any code by hand.

Right, so you use the words "vibe coding" yet you don't actually understand the concept? A lot of things make sense now. The description "vibe coding" is explicitly about "programming" with a LLM without reading or writing any code at all, for any purpose. If you read the code, you're not really vibe coding as originally described by Karpathy.
by mzs | 2025-05-20 15:15:23+00:00
Indeed, I looked at some highly scored words for Polish in google translate and they are words where the foreign word, transliterations into Polish, and Polish word are used. And when you pare it down to say five real distinctive meanings, you often find similar less commonly used synonyms in English. Also as I was looking through it seemed that possibly it was not taking into consideration verb vs. noun in English cause the counts seemed oddly way off for some where it could have happened. If you are familiar with English and another language, I would like to know what you see.
by pier25 | 2025-05-20 15:15:24+00:00
> If investors pushed for it as well, then they were just being sensible...

Not really.

The biggest issue with Node is the dependance on the fragile NPM ecosystem. Strategically, fixing this is the thing that would distinguish Deno and make it more valuable.

And Node is already adding TS and other features that were initially the reason to leave for Deno.
by cometapi | 2025-05-20 15:16:59+00:00
In recent months, Google and OpenAI have each launched cutting‑edge text‑to‑image generation systems—Imagen 3 and GPT‑Image‑1 respectively—ushering in a new era of photorealistic and highly controllable AI art. Imagen 3 emphasizes ultra‑high fidelity, nuanced lighting control, and integration into Google’s Gemini and Vertex platforms, while GPT‑Image‑1 leverages an autoregressive, multimodal foundation tied to GPT‑4o, offering both image creation and in‑place editing with robust safety guardrails and widespread API availability. This article examines their origins, architectures, capabilities, safety frameworks, pricing models, and real‑world applications, before closing with a look ahead at how both will evolve.
by chris_va | 2025-05-20 15:17:08+00:00
The author seems to gloss over the economy not being a zero sum game.

As an example, since this is HN: the US creates a ton of startups. Any country that creates new businesses is going to see foreign investment, which on paper leads to a trade deficit. Essentially, the US exports businesses to the rest of the world, but that is not tallied in a 19th century model for the trade balance of goods. However, it's arguably a better export that commoditized goods, from a margin standpoint.

Overall these graphs change dramatically based on where the exact geographic boundaries are set and how one defines goods/services/investment. Clearly the US hasn't run out of cash and needed to massively print dollars to cover foreign debt, which would happen very quickly if the system were actually imbalanced.
by sensanaty | 2025-05-20 15:17:37+00:00
Because the marketing started with "This is literally the singularity and will take over everything and everyone's jobs".

Then people realized that was BS, so the marketing moved on to "This will enhance everyone's jobs, as a companion that will help everyone".

People also realized that was pure BS. A few more marketing rebrands later and we're at the current situation where we try to equate it to the lowest possible rung of employee they can think of, because surely Junior == Incompetent Idiot You Can't Trust Not To Waste Your Time†. The funny part is that they have been objectively and undeniably only getting better since the early days of the hype bubble, yet the push now is that they're "basically junior level!". Speaks volumes IMO, how those goal posts keep getting moved whenever people actually use these systems in the real work.

---

† IMO every single Junior I've ever worked with has been some of the best moments of my career. It allowed space for me to grow my own knowledge, while I get to talk to and help someone extremely passionate if a bit overeager. This stance on Juniors is, frankly, baffling to me because it's so far from my experiences with how they tend to work, oftentimes they're a million times better than those "10x rockstars" you hear about all the time.
by ninininino | 2025-05-20 15:18:13+00:00
> I'm curious what crab bucket community you were part of, that's not what I've seen. I do think capital factory is truly awful at fostering community and takes a lot of energy out of the ecosystem.

I can speak to this a little. I'm from a Midwestern city and moved to SF and NYC for long periods.

In NYC, LA, SF, you are surrounded by literal billionaires, you walk past (or into) the HQ of Google or Meta or Twitter everyday. You are surrounded by the financial industry, or Hollywood, or the tech giants. You meet people who raised ten million dollars for a startup and that's just a Tuesday for them.

Being around so much success, so many unicorns, so much wealth, you somehow became a bit more optimistic about things and think those things could become possible for you or people you know.

If you spend your entire life in a place where the pinnacle of the local economy is a random agricultural F500 company or some trucking giant or maybe the local research medical hospital is the state's largest or wealthiest employer, you somehow just become a bit less optimistic about moonshots. The idea of the biggest success someone could realistically expect is creating something as big as Kickstarter, or as big as ButcherBox, or a competitor to Wordpress.

In NYC/LA/SF people are more likely to legitimately believe they might create the next Facebook/Twitter. And if you share with others that level of ambition, they might be doubtful but they won't necessarily see you as a fool. In a lot of smaller cities, you'll straight up be seen as a moronic delusional fool by sheer reflex.
by 90s_dev | 2025-05-20 15:18:24+00:00
So far, only the built-in apps are made with it.

You can click them on the desktop-thing when you open the app.

So far the only finished app is fontmaker: https://90s.dev/os/#sys/apps/fontmaker.app.js

Their source code for all built-in apps are in https://90s.dev/os/helloworld.zip (found on https://90s.dev/getting-started/download-sdk.html)
by lumost | 2025-05-20 15:18:31+00:00
There are many reasons to believe a theory may not be forthcoming, or that if it is available may not be useful.

For instance, we do not have consensus on what a theory should accomplish - should it provide convergence bounds/capability bounds? Should it predict optimal parameter counts/shapes? Should it allow more efficient calculation of optimal weights? Does it need to do these tasks in linear time?

Even materials science in metals is still cycling through theoretical models after thousands of years of making steel and other alloys.