skysight-inc/HackerNews huggingface dataset:
> For starters, human minds do more than just language.

These days, so do the AI (even though these ones are still called LLMs, which I think is now a bad name even though I continue to use the term without always being mindful of this).

> I've yet to see an humanoid robot controlled by an LLM that can tackle difficult physical problems like riding a bike or skiing in for the first time real-time, just as humans, that need to coordinate at least 5 senses (some say up to 20 but I digress) plus emotions and a train of thought to do so.

1) I'd agree that AI are slow learners (as measured by number of examples rather than wall clock). For me, this is more significant than the difference in wattage.

2) 13 years ago, before the Transformer model: https://www.youtube.com/watch?v=mT3vfSQePcs

3) We don't use 5 senses to ride a bike; I can believe touch, vision, proprioception, and balance are all involved, but that's only 4. Why would hearing, smell, or taste be involved?

For emotion, my weakly-held belief is that this is what motivates us and tells us what the concept of "good" even is — i.e. it doesn't give us reasoning beyond being a motivation to learn to reason.

> It is surprising that LLMs are so capable, but for 2000kcal a day humans are still more impressive to me.

Our biological energy efficiency sure is nice, though progress with silicon is continuing even if the rate of improvement is decreasing: https://en.wikipedia.org/wiki/Koomey%27s_law

That said, I don't consider the substrate efficiency to be an indication of if the thing running on it is or isn't "reasoning" — if the same silicon was running a quantum chemistry simulation of the human brain it would be an even bigger power hog and yet I would say it "must be" reasoning, and conversely we use phrases such "turn your brain off and enjoy" to describe categories of film where the plot holes become pot holes if you stop to think about them (the novel I'm trying to write is due to me being nerd-sniped in this way by everything wrong with Independence Day).

> That may be why the brilliant minds of this decade talk about replacing white-collars, but no plate-cleaning bot in sight.

I mean, I've got a dishwasher already… ;)

But more seriously, even though I'm getting cynical about press releases that turn out to be smoke and mirrors, (humanoid) robots doing housework is "in sight" in at least the same kind of way as self driving cars (which has been a decade of "next year honest" mirages, so I'm not giving a timeline): https://www.youtube.com/watch?v=Sq1QZB5baNw

> Metacommentary: a lot of LLM-human equality apologists seem to have little knowledge of the AI field and its history, as these themes are not new at all.

I've been feeling the same, but on both sides, pro and con. The Turing paper laid out all the same talking points I've been seeing over the last few years, and those talking points weren't new when he wrote them down.
Airbnb is mostly commercial listings that are basically unlicensed hotel rooms / appartments. I don't think people renting out their personal living spaces is a big part of their income. It's just a story they use to get around regulations.
leaving off articles seems to be very common for Slavic people

Whenever I come across text that has a lot of missing articles, the voice inside my head automatically changes to a Russian accent; and in the instances where I've bothered to find out the author, it was always someone from Russia or some other ex-USSR country, so it seems I've already ingrained this characteristic at a subconscious level.
In France (BoursoBank,Fortuneo, Hello bank!, Lydia) and in Switzerland (yuh), cards and bank services are free.
And you can use you card to really pay instantaneously bills without making a bank credit monthly.

That's understandable as they already make money with your savings...
Ah I don't run any LSPs so that's fair.

Retaining positions, buffers, and edit history between sessions is all straightforward in vanilla vim though. Unless you run an autolinter or formatter that edits your target file and wipes the history.
Target audience is very niche
Very dismissive. Anyone not using <span> should take a second look. Of all the elements, this is the one to change font, size, color, etc. in any dynamic text without offsetting anything in your layout. Do you really want to throw your user's text inside a <div> inside your nice <div> layout? No.
It’s an anti-signal trying to lower the writing’s formalness without actually casualizing the language, usually a quick shortcut for those who compose coherent sentences instinctively and would otherwise need to spend mental energy to go out of their way to not write like that.
Last thing that we would want in a case like that is even more destabilization.

Honestly at best I do imagine trying to set a puppet govt as a buffer, but outright annexing that is so dumb of a thing that I can't even get started.
It was interesting to dig through and consider if it was the idea, the timing or the execution that lead to the failure.
Show HN: I made an open-source video editor
It's an open source video editor designed for motion effects and versatility. developed with electronjs / TypeScript, FFmpeg, Litjs.

I'm currently focusing on making it easier to edit long-form videos. Specifically, adding subtitles to podcast episodes or creating short-form content from YouTube videos.

And I’m also developing several extensible utilities. For example, recording video with a floating webcam—similar to Loom—or using LLMs to make cut editing easier. To make all this possible, I believe the first step is to build a versatile, general-purpose video editor.

Demo : https://www.youtube.com/watch?v=Bh06VOYSMIM
I would like to believe that my production output would speak for itself in an environment where supposedly we should care about that. But like you said, honest work will only get you treated worse; natives around me are surfing the benefits of the state and laughing away the days, while I cry myself to 4h of sleep everyday. So yeah, you’re right, it’s a war. I just wish it wasn’t.

And nobody has to “like” me, where did I even hint at that? I’m talking about professional respect; you know, the same I give to the people around me.
I think it's pretty cool that the source code is all in a single file called app.js, and it's just doing simple DOM manipulations, no React, no minification, no libraries. I like to think it's just written like that too, a gigantic file that the author just iterates on.
Indeed, some of us are more willing to believe ourselves somehow special and block out our own irrationalities and missteps.

There is a deep need in some people to ignore their own flaws so they can present themselves as more competent. More reasonably, people try to have a thought ready before starting to talk, or will stop and think again if they notice a contradiction in what they're saying.

Other people will keep right on going and double down if they've made a mistake, refusing to acknowledge the opportunity for learning and blocking out inconvenient contradiction.

Interestingly this is itself quite relevant to the AI alignment problem. Competence requires being able to accurately reflect [on] the patterns, whereas goal-seeking and morality require ignoring some options as costly/dangerous distractions--but not to the point of incompetence. Balancing the two is tricky, and neither people nor governments have solved this universally, let alone an AI.
I hate to say it, but this is likely just the beginning. Those dismissing this as mere hype might not fully grasp the magnitude of what’s unfolding. The implications of LLMs extend far beyond trends—they’re reshaping how we interact with information, build tools, and solve problems. It’s hard to ignore their transformative potential, even if it feels like they’re dominating the conversation right now, LLM-backed apps and agents are creating new millionaires every other day.
There might be better ways to split than simply using bytes, though. Normalizing Unicode to NFD form and replacing CJK characters with their Ideographic Description Sequences gets me down to slightly more than 50k codepoints, and visual inspection indicates that the IDS library I used is missing data for quite a few characters, so maybe 40k or so is possible.

Then you could have the "how many r in strawberry" equivalent of "how many 月 in 明月清风"! On the negative side, a model trained on such a representation could make up CJK characters not in Unicode and you would need a procedural font to display them properly.
Indeed, <span> is for inline elements what <div> is for block elements: a way to organize and apply styling.
With raw html/js it can also be used for targeting text changes.
https://archive.is/M7zMc
I wonder if there is an ethical limit to some categories of knowledge. There are surely some sociological phenomena which are currently unexplained, but could potentially be explained by, say, incredibly invasive monitoring of peoples’ lives, but which we would probably rather remain unexplained than go down that route.
Russians could leave way easier than Ukrainians, though.
Also in one article I read the intel or reading hadn’t changed? Just the reporting is open now
doesn't "natural intelligence" normally mean human intelligence?
To other YC companies via premium subscriptions
Can you beta test this platform?
Might it also be possible to have anything to do with an ideologically driven pushback against a certain demographic of presumed affinity towards the promoted alternative?

Also, the original Reddit post for reference: https://old.reddit.com/r/rust/comments/1i7m431
This article says that big number is bad but sometimes you can make number bigger. Big number is bad because of bad experience with big number.

If a project has 0 dependencies but uses the exact same code as a project with 100 dependencies which project is better?

They are the same. So dependencies are not inherently bad.

What if the dependencies also have another 100 lines of code that are not used in the project?

I would say that doesn't really matter. In some cases it might lead to a slower build time or even a slightly bigger binary.

The actual situation you will end up with is that you write your own code and it's nothing like the dependencies. This is great because you don't have to worry about the maintainer of the dependency wanting to add things you don't need or making mistakes. You only have to worry about you making mistakes or having made mistakes. Mistakes you will maybe never encounter and mistakes you will never find because most of your code will never be looked at again. The dependency you could have used did so you would have to deal with pesky updates that might not affect you.

You could also choose not to do any of the updates of the dependency. You just pin all dependencies to a specific version and never update. Whenever there is an issue you just pull in the dependency and fix the issue yourself. Now you've got the best of both worlds, you didn't have to do the work upfront of generating the code with AI and you still get to maintain everything yourself.

But we also know that using dependencies can be bad, experience has shown that. But why were those experiences bad. Leftpad was a problem of a package disappearing because it was not version pinned and the package manager allowed it to dissappear. This problem has been solved.

Then there is the issue of abandoned packages, version incompatibility or packages that move away from your use case. But how different is this from pinning all dependencies and maintaining them from that point.

The point that open source contributers and dependency users have made before is that once you download the code it's yours. You are always the maintainer of whatever code your project uses. This means you are responsible for maintaining the dependencies you use.

In the most basic sense you should start a fork for each dependency and start to maintain it. But that is an enormous task so not a solution. You can hope you picked correctly and the package will be maintained forever but you will surely pick some that will end up abandoned. Another solution could be to pay someone else to maintain the dependency or a fork of the dependency. If there are more projects that do this you can actually build on a stable basis where you can trust the dependencies are good. The number can be big but not bad. Otherwise you will have issues with whatever path you choose. Because fundamentally as a user of open source you are not a customer but a raccoon looking in a dumpster for code.
Welcome to capitalism. Of course there is an asymmetry between individual founders and one of the, if not the most famous VC firm on the planet. It's an individual decision to determine whether YC is worthwhile. If it wouldn't be, it wouldn't work.
Show HN: Bagels – TUI expense tracker
Hi! I'm Jax and I've been building this cool little terminal app for myself to track my expenses and budgets!

Other than challenging myself to learn Python, I built this mainly around the habit of budget tracking at the end of the day. (I tried tracking on-the-go, but the balance was always out of sync.) All data is stored in a single sqlite file, so you can export and process them all you want!

The app is built using the textual API for Python! Awesome framework which feels like I'm doing webdev haha.

You can check out some screenshots on gh: https://github.com/EnhancedJax/Bagels

Thanks!
Spain paper was not peer-reviewed.

November Brazil could happen because December is when rumours already circulated in China and October is when it was out in Wuhan already per your link.

April Brazil I don't know what to tell you, no sources support the wild claim that it was NOT a data error.

> 2 months before it came out of wuhan

Source? I bet it came out earlier.
It was circulating in Wuhan before the pandemic according to WHO. Just people in China who are more likely to get infected are less likely to travel abroad (social class/sanitary conditions/etc) but maybe one person brought it out.
Indeed. I was about to write about it to the author by mail, but noticed that he posted this link, and probably will read these comments, so can as well provide the feedback by joining this subthread: at least a few readers are not happy about our scrollbars being hidden.
“If, metaphorically, the methods used by DQN and Agent57 are gas-guzzling Hummers and those used to tackle the Atari 100k challenge are like a fuel-efficient Prius, then our approach used on Atari 10k is like a Tesla, a hyper-efficient alternative architecture.”

Eh, what?
It certainly is. But then again this never really went away if I think of youtube view counts didn’t it?
Many founders realize its not for them, and return the remaining money.
Linux 6.14: add mapping for F23
I used to read a lot of LessWrong. These days I would recommend people to avoid it. The content is thought-provoking, written by well-meaning intelligent people.

On the other hand, it's like watching people nervously count their fingers to make sure they're all still there. Or rather, it's not enough to count them, we have to find a way to make sure we can be confident with the number we get. Whatever benefit you get from turning off the news, it's 10x as beneficial to stop reading LessWrong.
I would imagine so.

a) Almost all of the other incubators are just awful. Either they are predatory, ineptly managed or simply not well capitalised enough to offer a competitive product.

b) YC is able to rest on its laurels i.e. they can/do market how well AirBnb, Stripe etc have done. And so their funnel of talent is by far the best.

c) That said, YC is the worst I've ever seen it. And Garry Tan is mostly to blame although it's been trending downwards for a while. It's now as if Jake Paul ran an incubator: very hype driven, cynical, focused on easily exploitable young 20s males.
How is occams razor pointing you to a fish market where they didn’t find it in any animals that could transmit it, next to a research center working on similar viruses, where people commuted from there via the market, where documents exist pointing out poor security practices, and where the Chinese government restricted access?
With more and more companies are adopting the use of AI Agents, 2025 is gonna be year of AI Agents
> why wasn't this the immediate next step that everyone took.

It was actually tested by various labs. Just probably not at this scale. The first model that featured RL prominently was DeepSeek-math-7b-RL, published last year in april. It was at the time the best model for math, and remained so until the qwen2.5-math series, that probably had way more data put into them.

There's a thing about RL that makes it tricky - the models tend to behave very stubbornly. That is, if they see something that resembles their training method (i.e. math problems), they'll solve the problem, and they'll be good at it. But if you want something close to that but not quite solving it (i.e. analyse this math problem and write hints, or here are 5 problems extract the common methods used for solving, etc.) you'll see that they perform very poorly, often times just going straight into "to solve this problem we...".

This is even mentioned in the R1 paper. Poor adherence to prompts, especially ssytem prompts. So that is still challenging.
Fixing my monitor's power button
> will have died by being acquired for less than the most recent valuation, meaning YC lost money on the deal

Does YC really lose money on all acquihires ?

Because it seems like most of the batches look to be purpose built for it.
I tried Deepseek R1 via Kagi assistant and it was much better than claude or gpt.

I asked for suggestions for rust libraries for a certain task and the suggestions from Deepseek were better.

Results here: https://x.com/larrysalibra/status/1883016984021090796
That is odd, it seems to work for me. It is replying "in character" at least.
I'm running open web ui connected to ollama.

In any case, I'm just entering it into the system prompt in open web-ui.

Edit: I just asked "What is your name" and in the reasoning it writes: "Now, with this new query, it's straightforward but perhaps a change of topic or just seeking basic information. The user might be testing me or simply curious about my identity. Since they're referring to "Computer" in their initial setup, I should respond accordingly without overcomplicating things."

Then in the final reply it writes: "My name is Computer! How can I assist you today?"

So it's definitively picking up the system prompt somehow.
Have you considered garbage collection? Would fit the page reload thing. Just a thought.
A lot of that is provided by multi-modality including feedback from the body and interacting with objects and people with more than just the words. That expands the context of a human's experiences dramatically compared to just reading books.

Plus even when humans are reading books a mental image of what's going on in the story is common. Not everyone has that, but it shows how much a basic LLM lacks and multi-modal would add.

Now the real question to my mind is whether we can train models with actual empathy to learn from the experiences of other people without having to go through the experience directly. Doing so would put them above many individuals' understanding already. . .
Some example points:

* How. The best determinant of low confidence is prioritization of how over what. Unless you are a lawyer let business requirements and performance metrics determine the end state. How to do it is ruled by people who fear uncertainty and lack the experience to qualify risk assessments.

* Uncertainty Avoidance. Uncertainty avoidance determines whether a group runs towards or away from risk. This is not a measure of solution attainment but just a measure of openly considering direction.

* Openness. Openness determines the level of transparency and results in perceptions of trust and low corruption. Low internal openness is highly associated with infighting and CYA.
I love it, but not 100% sure you can keep it in your bag, as ventilation would restrict cooling.

So, if you have to pull everything out of the bag to play and wire it up, is this form factor practical for travel?

PS: I spend lots of time in Hotels, these would be cool to play in the room, even use Desktop mode on the go. But the plane/coffeeshop scenario feels a bit far fetched.
Would it be possible add an "expand all" option? I am searching through them with ctrl+f, to figure out which of them are similar to other ideas that are being considered today :D
I am German, we write all nouns capitalized.

If I write English I often need to fix some nouns that I have written subconsciously capitalized.

So I think it would be equally acceptable for me to just leave them in?
Some benefits I appreciate:

* All the text is at a readable size, and had sufficient contrast with the background.
* The clickable and interactive elements are easy to identify.
* Text is selectable and can be copied.
* There are no useless animations(there only to give a dynamic feel without having any function).
I see a lot of push back against this approach. And since it is something I've been experimenting with recently, this is pretty interesting stuff. Clearly it has issues with query planning getting messed up, which is not something I had been aware of since my DB size I've been experimenting with is still only in the 10s of thousands of rows. But...

Using raw SQL file addresses:

1. Very difficult for devs to expose SQL injection vulnerabilities because you need to use parameters.

2. Having all available filtering dimensions on a query makes it very clear what the type of filtering is for that particular query.

3. Easy debugging where you can just throw your query into an SQL client and play around with the parameters.

4. Very clear what the total query footprint of you application is (e.g. files all neatly listed in a dir).

5. Super readable and editable.

6. Code for running the SQL is pretty much: here is my query, here are my params, execute.

7. Etc?

So the amount of good you can get our of this approach is very high IMO.

So an open question to anybody who is more familiar with DBs (and postgres in particular) than myself. Is there a reliable way to address the issue with this approach to querying that you all are flagging as problematic here. Because beyond the query planning issues, raw SQL files (with no building/templating) just seems to me like such a better approach to developing a db access layer.
that's horrible! I love it.
Ai Agents and Copilots are truly evolving. In Just few weeks, GitHub announced it's copilot integration in the VS Code, Llamaindex announced Agent Workflow, Autogen v4 is here. And this is just beginning
You think only two countries would destroy a few helicopters' worth of value to rescue allied civilians during wartime evacuations where they're not under fire? I suspect we'd be pushing a catalogue of 100+ countries. Loads of examples from WW2 like Dunkirk/Operation Hannibal where you see the sacrifice of material for civilians.
YC and an average Seed round only gives you enough money for a small team for 18 months.

Anyone who is half-decent is going to be expensive.