MurphyA/hacker-news huggingface dataset:
by nuancebydefault | 2025-04-20 19:56:59+00:00
What stood out a lot in this exercise is that when looking at, versus near a disc, its luminance (or maybe the color as well) is perceived as changing. Almost the same i have when staring at not too bright stars, they seem to disappear when staring directly on them.

And related, I once had an 'eye migrane'. During that half an hour, the figures of a clock disappeared the moment i looked at them.
by conartist6 | 2025-04-20 19:58:29+00:00
I don't think there's anyone better positioned to answer your question than I am, given that I've spent the last 3 years building the IDE tech that OpenAI really wants and needs right now (though they don't yet know it).

The problem is that what you're discussing is a political undertaking. I don't mean that it's "left versus right" political, I mean that the primary task that makes it hard is getting a lot of human beings to agree on some low-level details about how the gory internals of an IDE work. LLMs can produce text, but they have no will to political organization. They aren't going to accomplish a task by going out and trying align the needs of many individuals in a compromise that requires determined work to find out what those people really want and need, which is the only way to get this particular task done. Somehow the natural-language-as-API idea has made many people think that in the future APIs and formal technical standards will be unnecessary, something for which I do not see evidence.

There's a second problem too, one of alignment: LLMs encourage you to give away the work of coding. I would not for anything give away the pain of using mediocre tools like VSCode to write a lot of code myself, because what I learn as the intelligence doing the work is what I need to know to be able to make tools for doing that work more efficiently. I use my learnings to design protocols, data structures, libraries, frameworks, and programming languages which don't just *mask* the underlying pain of software development but which can reduce it greatly.
by wqaatwt | 2025-04-20 19:59:53+00:00
> embolden opposition

If there even is one. In the USSR most reformists or people who achieved real power after the collapse were opportunistic party insiders who were at the right place at the right time. There were some exceptions of course.

> afganistan war killed a lot of people, food shortages would kill others too.

Not that many in relative terms. Even according to independent estimates it was ~26k over 10 years (compared to 1-3 million Afghans..). That was of course much more than what NATO/etc. lost in their war but several times less than what Russia is losing now in Ukraine every single year.

And of course there was no famine in the USSR in the late 80s (and as for general shortages the worst came when the collapse was effectively inevitable).
by mcmcmc | 2025-04-20 19:59:54+00:00
> And even someone who disagrees with them can recognize the "small government" within their idealized view means government that is only involved in the things that government should be involved in.

Sure, maybe if they were ever ideologically consistent. Yet somehow “government should not be involved in healthcare” also means “government can dictate your healthcare decisions” vis a vis gender affirming care and abortions. Or how “government should not be involved in wealth redistribution” means “let’s grow the national debt to give billionaires more tax breaks and subsidies”.

This is totally setting aside the fact that small government has always carried the connotation of fiscal conservatism.
by ramesh31 | 2025-04-20 20:00:19+00:00
The problem is that all of that density is delimited within a perfect 7x7 mile square. Outside of which is the worst of the worst when it comes to urban sprawl anywhere in the US. What really kills SF is just the complete inability to reasonably commute. Any form of housing anywhere within a 2 hour drive of the city is the most expensive in the country.
by simonw | 2025-04-20 20:01:48+00:00
The o3 model card reports a so far unexplained uptick in hallucination rate from o1 - on page 4 of https://cdn.openai.com/pdf/2221c875-02dc-4789-800b-e7758f372...

That is according to one specific internal OpenAI benchmark, I don't know if it's been replicated externally yet.
by ChuckMcM | 2025-04-20 20:03:35+00:00
I ended up buying three of these as I was going to convert one to computer control. Last year at the ASVARO swap meet I sold the last one I had which had never been opened :-). The guy who bought it was pretty excited to have it (which is the goal of getting rid of one's junk right?)

They were marvels. The only "practical" way to convert them was to put solenoids on the controls to drive them and it was impractical for any repeatable fine grain control. If I ever get a chance to meet the person behind that design I'd certainly buy them a round of their favorite beverage.
by loeg | 2025-04-20 20:04:10+00:00
The "as typically used" quoted figure for pulling out ("withdrawal") is 80% success, but the ideal use figure is 96-98%. If you know a little bit about yourself and also aren't going back to back without peeing, you can do a lot better than the 80% figure. (Also yeah, it's amusing that both of these figures are more or less identical to male condoms.)

(Meta-comment: probably best to keep everything in "success" percentage figures for direct comparison, instead of switching to failure percentages for some figures.)
by deagle50 | 2025-04-20 20:04:35+00:00
I agree that it makes some things easier (at the expense of managing constructors/destructors), I'm disputing the blanket assertion that it's superior to manual management, in the context of Jai (and Odin). You're also introducing a reference count, but that's besides the point.

In Jai/Odin, every scope has default global and temp allocators, there's nothing stopping you from transferring ownership and/or passing pointers down the callstack. Then you either free in the last scope where the pointer lives or you pick a natural lifetime near the top of the callstack, defer clear temp there, and forget about it.
by fallinghawks | 2025-04-20 20:05:06+00:00
19/20. The first many were very obvious. I missed #14 and I think right around there I started to slow down because the differences were getting smaller. Looking away and then coming back helped, I think. It seemed like if you look at them too long, whichever circle you're looking at seems to shift color and it becomes really hard to discern the difference.
by ben_w | 2025-04-20 20:05:17+00:00
It's easy to treat AGI as one thing — I did so myself before everyone's differing reaction to LLMs made me realise we all mean different things by each of the three letters of the initialism, and that none of those initials are really boolean valued.

Given how Dutch disease[0] is described, I suspect that if the "G" (general) increases with fixed "I" (intelligence), as the proportion of economic activity for which the Pareto frontier is AI rather than human expands, I think humans will get pay rises for the remaining work right up until they get unemployable.

On the other hand, if "G" is fully general and it's "I" which rises for a suitable cost[1], it goes through IQ 55 (displacing no workers) to IQ 100 (probably close to half of workers redundant, but mean of population doesn't have to equal mean of workforce), to IQ 145 (almost everyone redundant), to IQ 200 (definitionally renders everyone redundant).

[0] https://en.wikipedia.org/wiki/Dutch_disease

[1] A fully-general AGI with the equivalent of IQ 200 on any possible test, still can't replace a single human if it costs 200 trillion USD per year to run.
by bikedspiritlake | 2025-04-20 20:06:29+00:00
Phrasing LLMs as encouraging exploitation is important, because they can still be powerful tools for exploration. The difference comes in the interface for LLMs, which is heavily focused on exploitation whereas search engine interfaces encourage exploration.

Newer models often end responses with questions and thoughts that encourage exploration, as do features like ChatGPT's follow up suggestions. However, a lot of work needs to be done with LLM interfaces to balance exploitation and exploration while avoiding limiting AI's capabilities.
by dimal | 2025-04-20 20:06:38+00:00
I’ve gotten into this mode too, but often when I do this, I eventually find myself in a rabbit hole dead end that the AI unwittingly lead me into. So I’m slowing down and using them to understand the code better. Unfortunately, all the tools are optimized for vibe coding, getting the quick answer without understanding, so it feels like I’m fighting the tools.
by AlexeyBrin | 2025-04-20 20:06:58+00:00
> The market potential here is absurdly large: workers in the US are paid around $18 trillion per year in aggregate. For the entire world, the number is over three times greater, around $60 trillion per year.

This is an appeal to greed - let's stop paying wages and make a ton of money in the process. But, if you automatize all work, how will you distribute all this abundance ? How will people without wages afford to buy your goods ? How will you prevent the formation of a society split into masters and slaves ?

Some people have a God complex, they imagine that they know better and everyone should follow their ideas.
by alabastervlog | 2025-04-20 20:08:14+00:00
I think people who start to get into the craft of film-making (even academically, not making their own films) even a little tend to open up a lot to older films.

It’s so much more impressive when they had to actually arrange for the thing you’re seeing to exist, at least in some sense, in real life, so light could bounce off it and hit the film. That is a real landscape that the actors and crew had to travel to! They really made horses jump off that train car! They really had two thousand extras for this shot! That kind of thing. If there was a set at least they had to build it, and even if the results look a little janky it’s usually interesting and the craft impressive.

They shot with environmental lighting? They had to rig their other lights just so and maybe just work with what was available to get a good shot. The light is the light. The constraints on their options often seem to improve, rather than harm, the final product.

Now it’s like oh they couldn’t even be bothered to film on a real damn street. Ugh. All the location shooting is just getting backgrounds to composite in later. The light on the actors didn’t even exist when and where the background was shot. It sucks and is boring.
by davidanekstein | 2025-04-20 20:09:23+00:00
I’ve worked in robotics before. Since you mentioned backend I think getting familiar with ROS and LCM and other middleware would be helpful to you. If you have spare time, you could play around with writing drivers for motors that you buy, but it’s less specific to your skill set which in my opinion probably consists of sending and ingesting data, especially event-based systems.
by Zambyte | 2025-04-20 20:09:29+00:00
I think a reasonable definition of intelligence is the application of reason on knowledge. An example of a system that is highly knowledgeable but has little to no reason would be an encyclopedia. An example of a system that is highly reasonable, but has little knowledge would be a calculator. Intelligent systems demonstrate both.

Systems that have general intelligence are ones that are capable of applying reason to an unbounded domain of knowledge. Examples of such systems include: libraries, wikis, and forums like HN. These systems are not AGI, because the reasoning agents in each of these systems are organic (humans); they are more like a cyborg general intelligence.

Artificial general intelligence are just systems that are fully artificial (ie: computer programs) that can apply reason to an unbounded domain of knowledge. We're here, and we have been for years. AGI sets no minimum as to how great the reasoning must be, but it's obvious to anyone who has used modern generative intelligence systems like LLMs that the technology can be used to reason about an unbounded domain of knowledge.

If you don't want to take my word for it, maybe Peter Norvig can be more convincing: https://www.noemamag.com/artificial-general-intelligence-is-...
by Ancalagon | 2025-04-20 20:09:44+00:00
I kind of get it. Just rip the band aid off already. If we are all gonna be unemployed and the economy is going to be AI and robots then let’s just do it. Capitalism as we know it will fundamentally change or fail, there will be a revolution or laws will be enacted to finally build safety nets everywhere and we can get over this will-they-won’t-they bullshit of employers threatening everyone’s livelihoods because “vibe coding”.
by Samin100 | 2025-04-20 20:10:38+00:00
I have a few private “vibe check” questions and the 4 bit QAT 27B model got them all correctly. I’m kind of shocked at the information density locked in just 13 GB of weights. If anyone at Deepmind is reading this — Gemma 3 27B is the single most impressive open source model I have ever used. Well done!
by presto8 | 2025-04-20 20:11:27+00:00
> On the one hand the guy in OP article didn’t have documentation and he illegally crossed the border, so what do you do as ICE? The guy claims he is a US citizen, but I bet you a lot of illegal immigrants without documentation claim they are a US citizen as well.

For what it's worth, OP article says that the court documents claim he admitted to entering the country illegal. Guy himself denies this.

> Court documents say a Border Patrol agent arrested Hermosillo “at or near Nogales, Arizona, without proper immigration documents” and that Hermosillo admitted to illegally entering the U.S.

> Hermosillo and his girlfriend, who have a 9-month-old child together, live in Albuquerque, New Mexico, and are visiting family in Tucson. He says he has never been to Nogales.
by Ghos3t | 2025-04-20 20:11:49+00:00
There is some value in the mistakes and limitations of older movies, I am sure if you look it up people who can explain it far better than me can give lots of examples, I saw a video once about the growing trend of analog horror where people intentionally watch older horror movies in older storage and display formats like VHS and CRT televisions, because in many ways the high def modern tv screens and 4K mastered prints actually take away from the atmosphere of the original movie that was made keeping the limitations of the technology of the time. Wes Anderson also talks about how watching the fur pattern constantly changing on the model of King Kong in the black and white stop-motion movie due to the puppeteers touching the model to manipulate it inspired him to do the same in his Fantastic Mr Fox movie
by matthewdgreen | 2025-04-20 20:12:07+00:00
If you look closely at what China is doing, you’ll see that they’re building out a massive fossil-backed renewable grid. The new coal they’re constructing consists of modern dispatchable coal that can be spun up and down quickly to supplement the variability of renewables. They’ve also proposed a scheme of capacity payments [1] to pay coal plants for not generating. This is more or less the same as what Europe and the US have been doing, except we’ve been using natural gas instead of coal (and of course the scale of China’s renewable buildout utterly dwarfs what the West has done.)

The important thing here is that this makes economic sense. Coal is not cheaper than renewables and doesn’t really compete well with them when both are available (especially as the price curve for new renewables keeps dropping) but until storage is vastly more available, fossil backing is pretty much the only way to build out a renewable grid.

My big worry is not that “regulation won’t work” (I think we’ve already pushed ourselves over the economic tipping point where renewables and storage are pretty much inevitable.) My fear is that it will come too late, and that we’ve been much too optimistic about our carbon budgets.

[1] https://www.raponline.org/blog/changing-how-coal-power-plant...
by AstralStorm | 2025-04-20 20:13:45+00:00
It's more than that but less than intelligence.

Its generalization capabilities are a bit on the low side, and memory is relatively bad. But it is much more than just a parrot now, it can handle some of basic logic, but not follow given patterns correctly for novel problems.

I'd liken it to something like a bird, extremely good at specialized tasks but failing a lot of common ones unless repeatedly shown the solution. It's not a corvid or a parrot yet. Fails rather badly at detour tests.

It might be sentient already though. Someone needs to run a test if it can discern itself and another instance of itself in its own work.
by throw_m239339 | 2025-04-20 20:13:53+00:00
> You'll be surprised to learn that neovaginas are also possessed by cis women. Trans men requiring vaginoplasty and receiving a uterine transplant are the nichest possible edge case, your "gotcha" is pure distraction.

> Trans women will receive the modern* uterine transplant operation, this I can state with certainty. Birth is done via C-section as a requirement of the UTx operation, the vagina is required for discharge. I haven't been able to pay attention to the operation for a few years, but it is clear that you are operating from uninformed conjecture.

> *The first uterine transplant was performed on a trans woman in Germany in 1930, Lili Elbe. This pioneering surgery lead to her death, as transplantation medicine was not adequately developed at that point in time.

Not all transmen require a vaginoplasty, not all transwomen have had a vaginoplasty or even have the desire to do so.

No biological male has ever birthed a child so far, so all that's speculation about what is or isn't needed from you is just that, speculation, based on nothing since it's technically not possible for now.

The desire to birth a child doesn't depends on anybody's gender identity nor anatomy.

Now stop trying to put people in boxes and keep an open mind.
by dredmorbius | 2025-04-20 20:14:36+00:00
Clothing variation has a lot to do with not only fashions but fabrics.

Considered over a longer timescale, up through the late 19th century, the principle options for clothing were cotton, flax, silk, wool, leather, grasses (in some regions), and metal, with very few other options.

Viscose rayon was the first synthetic fibre created, in 1899. It was followed by Nylon (1930s) which pressaged a slew of additional synthetics, notably polyester. Adoption was somewhat slowed by various factors, including WWII, but by the 1960s synthetic fabrics and brilliant dyes were exploding into popularity.

Flagrant use of synthetics faded somewhat through the 1970s and 1980s, with fabric blends and natural fabrics becoming more prevalent (yes, I'm aware that the leisure suit was prominent in the 1970s, but it was less so by the end of the decade).

There've been variations in specific styles since, though most to my eye have been evocative of earlier 20th-century periods since the 1990s, rather than distinctively original. (I'm far from an expert in clothing fashion, take with heaping handfuls of salt.)

Other scene-setting elements include architectural styles (notably houses in the West), automobiles, and since ~2000, the presence and style of handheld mobile devices, smartphones after about 2010. Camera styles would be a useful indicator for much of the 1900s ("Brownie" box cameras, SLRs, "Instamatics", and the like).
by gom_jabbar | 2025-04-20 20:14:43+00:00
> The movement recently has been people trying to sell something less than this as an AGI.

Selling something that does not yet exist is an essential part of capitalism, which - according to the main thesis of philosophical Accelerationism - is (teleologically) identical to AI. [0] It's sometimes referred to as Hyperstition, i.e. fictions that make themselves real.

[0] https://retrochronic.com
by nearbuy | 2025-04-20 20:15:35+00:00
Human intelligence is jagged. You're raising the AGI bar to a point where most people wouldn't qualify as having general intelligence.

My partner and I work in different fields. AI has advanced to the point where there are very few questions I could ask my partner that o3 couldn't answer as well or better.

I can't ask expert level questions in her field, because I'm not an expert in her field, and she couldn't ask expert level questions in my field for the same reason. So when we're communicating with each other, we're mostly at sub-o3 level.

> People want it to be here so bad they nerf the requirements...

People want to claim it's overhyped (and protect their own egos) so badly they raise the requirements...

But really, largely people just have different ideas of what AGI is supposed to mean. It used to vaguely mean "human-level intelligence", which was fine for talking about some theoretical future event. Now we're at a point where that definition is too vague to say whether AI meets it.
by aecsocket | 2025-04-20 20:15:43+00:00
Interesting, I didn't know there was a theming presence on OS X! I agree with you in that consistency and themability can exist together (and I suppose your example proves that), and that had GNOME decided to prioritize themability we could have had something like that on the Linux desktop. I suppose this is a question of priority and where to allocate effort, rather than what is technically possible and not. Building a UI framework and HIG is already not an easy task, and making it customizable in the way you describe would be an even bigger burden on developers - many of which are, I assume, doing this work for free. But admittedly I haven't looked much into GNOME's funding or organizational structure, so maybe they are capable of it, but just haven't bothered.
by haunter | 2025-04-20 20:16:42+00:00
I hate editing mistakes more. The Aviator has quite a few of these where for example in cut A two characters talk by walking side by side, in cut B they stop and turn towards each other (still talking), and in cut C they continue the talking but you can see cut A and C are the continuation of each other and cut B was inserted in the middle https://files.catbox.moe/dljiiw.mp4

And that's just one example that film is full of those. Here is another jarring one https://files.catbox.moe/9m3gjq.mp4

Despite that it won the Academy Award for Best Editing...
by Retr0id | 2025-04-20 20:16:46+00:00
Ah, yes, 19/20 the second time (only the last one wrong).

The first time I kept my eyes fixed in the same place roughly in the middle which clearly wasn't a good idea. On the second attempt I glanced between each circle in turn, trying to discern the difference over two points in time rather than two points in space.
by Jensson | 2025-04-20 20:17:15+00:00
> A middle schooler has general intelligence (they know about and can do a lot of things across a lot of different areas) but they likely can't replace white collar workers either.

Middle schoolers replace white collars workers all the time, it takes 10 years for them to do it but they can do it.

No current model can do the same since they aren't able to learn over time like a middle schooler.
by kqbx | 2025-04-20 20:17:38+00:00
here are some of my best finds:

- https://maximecb.github.io/Turing-Drawings/#4,3,1,2,3,3,1,0,...

- https://maximecb.github.io/Turing-Drawings/#6,3,2,1,0,4,1,1,...

- https://maximecb.github.io/Turing-Drawings/#7,3,4,1,2,6,1,3,...

- https://maximecb.github.io/Turing-Drawings/#7,3,5,1,1,6,2,3,...
by dhorthy | 2025-04-20 20:17:53+00:00
this is cool. curious what other examples folks have seen. Probably lots of content creation/management tools in general - figma, github, etc.

Any examples of this in lower level devtools? I think of things like K8s as "the real value was always in the standardization" but maybe it really did just start as "hey this is a cool way to run software"