skysight-inc/HackerNews huggingface dataset:
Even if GPT4 progresses no further, it still would justify the investment IMO. This is the first truly useful and novel tech to come out in a long, long time. Something that delivers magic not just in rigged demos, appreciably moves the productivity needle, and makes intellectual work more bearable, at least for me. If this is a “bubble”, it’s at least a useful one.
Ask HN: App for setting up routines for kids with rewards to unlock
I've recently switched the focus of my startup away from adding more features to making our app more accessible and valuable to a bigger, more general audience. One audience in particular that I've been talking to is parents. In particular when their kids benefit immensely from following a consistent routine during the morning, after school, and before bed.

As the app already has integrations with a couple of services and smart devices, the app would also allow adding incentives on completion of these "Quests". For instance, you could grant some temporary internet access, add bonus time on the Nintendo Switch, or issue some small pocket money after completion.

I'm now looking for more data/proof that there would actually be at least some decent demand for.
"Use and toss" culture: https://medium.com/@trendguardian/why-we-are-dispensable-7a5...
Yup, the fact that you only have an advantage in switching when Monty "leaks information" in explicitly choosing _not_ to open a certain door as [1] pointed out, is likely the crux of what makes this unintuitive, since it is a very unusual prior.

[1] https://news.ycombinator.com/item?id=39514463
> American physicians also work almost teice as many hours as their European counterparts which would increase their incomes.

I’d be curious as to where you got that. I was personally suprised to discover that in Germany, doctors in university hospitals can work up to 80 hours a week.

https://www.sciencedirect.com/science/article/pii/S016885102...

https://www.statista.com/statistics/1385440/physicians-work-...

https://medicalschoolexpert.co.uk/how-many-hours-do-doctors-...

https://www.theguardian.com/society/2019/jan/15/junior-docto...

https://www.france24.com/en/france/20240219-france-s-foreign...

https://www.irdes.fr/EspaceAnglais/Publications/IrdesPublica...

https://facharztjetzt.de/24-7-guardians-unveiling-the-workin...
Ask HN: Which GPU is good for AI LLMs?
Which GPU is good for running AI LLMs?
> GPT 4 isn't that great, in general

same here, it doesn't adhere to explicit instructions, maybe one or two simple instructions are ok but not more complex ones
Heat Pumps Take on Cold Climates
Sora understands basic motion without mathematics in the same way people typically understand physics.

A person with no knowledge about mathematical formulas will still be able to recognize impossible MC Escher paintings. With enough data, Sora will be able to generate both impossible and possible physics and know the difference. We can already see in the video that it has a rough understanding of it.
> Seems for a lot of these nutrients and vitamins the benefit is an upside-down U-shape

This is true for almost anything, not just in medicine but also in engineering and in life in general. If you are seeing a variable where the benefits increase as the variable increases you are probably just not sampling the range where it plateus or the range where further increase of the variable becomes detrimental.

Almost as if the saying “everything in moderation” has empirical basis.
The initial door reveal is misdirection by an informed host, such that it has no effect on the odds, which are always, players choice of door is 1/3. Imagine instead:

After the player picks a door, the host states out loud, "we started with 2 zonks, you picked one door, so there must be at least one unchosen zonk... and I'm going to show you one behind door #X (door opens with zonk)... now, would you like to switch?"

Wouldn't make for good TV but it describes what is actually happening. Knowing that the host will always show an unchosen zonk is the key to realizing that opening that door has no impact on the player's odds (1/3 originally, 1/3 after the reveal, thus switching is 2/3).
Probably the donor specified that those funds MUST go towards tuition-free education.
No way school managers would come out with this idea from their own volition.
Nice! When was that added?
That answer inspired me to ask ChatGPT on how blockchain could enhance AI. And, to say the least, I wasn't disappointed!

It printed out a pretty long answer with several good points on how it could help to enhance AI.

There we have it! Blockchain is about to solve all problems we have today with AI! :D
For all classical works, I reckon there’s no question the light they were created under would be some variant of black-body radiation: sun, incandescent bulb, fire. The distinguishing part of black-body radiation is that its spectrum is continuous throughout.

Compared to incandescent lamps, fluorescent sources including LEDs emit spectrum that is bumpy or even spiky. Those spikes fall within R, G and B and the resulting light looks white itself; but the objects or paints from which it reflects may not look the same[0]. At extremes, depending on what the paint is made of (not simply its colour!), the picture may look very different.

(Ever noticed how you may admire an amazingly vibrant flower in the field, but no photo seems to reproduce that brilliance? That’s another example of metameric failure.)

To see a work of art how it was intended to look, you should view it under the light it was created in. Unfortunately, it appears impossible to break from the shackles of LED these days. Depending on where you live, it may actually be impossible to source a tungsten filament bulb. You’d think it should be easy and worth the extra electricity expense to the management of any good gallery or museum, but apparently not.

[0] See: https://en.wikipedia.org/wiki/Metamerism_(color)#Metameric_f...
Steve Jobs on iPhone Design
Ola launches AI chatbot trained on Indian languages
To add to this question, are there LLMs that I can run on my own data, that also can provide citations similar to the way phind.com does for their results? Even better if they are multilingual.
The article answers this very question.
It all depends on whether fortune 500 can improve their business processes using AI. It seems like it is able to do so, which translates to vast numbers of AI chips being sold in the next 1-5 years.
WSL - Windows Subsystem for Linux
I like the metaphor, but... a hurricane doesn't write values documents or employee handbooks. These things do inform actions in many orgs, and constrain opportunities to a degree.

I disagree with this larger idea (that others here are implying more indirectly) that companies are all the same, and like some force of nature. They are guided and there are better and worse ones.

Having said all that, I'm still an anti-capitalist to the extent that one can be one ;)
OpenAI currently leads the front on (commercial) AI, so I doubt people will switch. In fact most offerings become outdated pretty fast and everyone else tries to play catch up.

Imagine using a GPT-2 type model when everyone else is using GPT-4. Until the dust settles there's no point in investing in alt models imo, unless you're leading the research.
Well even if it doesn’t get ‘more intelligent’, just faster so we eventually have 10000+ tokens/s (so you can have realtime inference for visual, speech and text) and with a 10m context window, we definitely have something worthwhile and useful for almost everything. Won’t be the downfall of humanity, but will help everyone everywhere optimise work and life.
I don’t know if the following is related, but I find it very strange that title insurance is necessary. I would assume that both municipal and state governments would know exactly who owns what piece of property/natural resource rights/air rights/other property-related right at the click of a button.
Lenovo got the same chip (Z1 Extreme).
I didn't know that, that's wild. Does the government actually track their location in real time?
[dupe]

Discussion over here: https://news.ycombinator.com/item?id=39513092
Fine. But if someone knows to use mergetool, they probably don't have a problem to begin with. My concern is for all of the junior developers out there who are getting conflicts with terrible default conflict marker style and are struggling through it because they didn't know there was a better option. Educating everyone on how to use `git mergetool` would be great but it is hard. Changing the default so that conflict markers is understandable is easy and benefits everyone.
True, 20 years after the bubble. It took a while to recover, though, and the years just after were not that happy.
I didn't ask you for more Amazon warehouse stories.

I asked you for evidence that Galaxus warehouses are substantively better.

Since you have provided no such evidence, I conclude that you have none.
Apparently you have?
Isn’t your first paragraph essentially describing a bubble? Albeit as a tautology.

NVIDIA have high revenue right now because everyone is suddenly chasing the AI bubble. There hasn’t really been a product shift on their end to cause this, rather the bubble formed coincidentally around their compute libs prevalence that’s been laying the groundwork for almost two decades .

their high profit is well deserved but the sudden ramp is the bubble.

When will it pop is the question? I think that’s when a lot of these smaller companies fail to produce a viable product and the bigger ones get fed up of the high margins.

But I think NV will come out on top regardless, because a pop will still place them pretty high.
I think aside from accessibility the main use case is for e-ink devices where the resolution isn't high enough to comfortably display the entire page at one and the refresh rate isn't high enough to pan/zoom quickly. With those limitations automatically "paging" through the panels probably makes for a much better reading experience (I haven't tried it myself).
Ask HN: GitHub organization was suspended from GitHub suddenly without warning
Hello everyone,
I want to kindly ask for help. We are a small open-source software company.

Just now, out of nowhere, GitHub flagged and suspended our whole GitHub org for our organization without any warning.

We don't collect any user information don't do any scraping, spam, nothing.

We're a fully open source project (software company developing cloud for AI apps) and people having access to our GitHub is a vital part of our product.

Do you have any experience with this? Can it be something like competition reporting or GitHub incorrectly recognizing some kind of activity as suspicious, or some kind of attack?

Thank you for any advice!
It only works when first you accumulate some resources (knowledge, money, wisdom, strength, whatever) which you can then spend on others.

Just staying poor and spending your whole days on searching for food (or a drink, or a dose) does not provide one with many opportunities to do interesting things with their life.

Giving is what makes a life great. But you have to have something to give first.
>I had no intention of implying any malfeasance in my use of the word "odd"; I mean it in the sense of unusual, unexpected and surprising. The thing is, you finishished your precursor post saying, about your tests and mine, that it comes down to there being a human in the loop making a judgement call, but in a follow-on you say that there are thousands of quantitative metrics. Why, I wondered, would that matter, if it comes down to a human making a judgement call? Were you switching to a different line of argument, one that (as far as I could tell) had not been raised before? That's what I found surprising about your claim.

It matters because of humans. If I gave an LLM thousands of quantitative tests and it passed them all but in an hour long conversation a human could identify it was an LLM through some flaw the human would consider all those tests useless. That's why it matters. The human making a judgement call is still a quantitative measurement btw as you can limit human output to True or False. But because every human is different in order to get good numbers you have to do measurements with multitudes of humans.

>I am still rather confused about how this fits into what you are saying more generally. At first I thought you were saying, in your latest post, that the Turing-test interrogator should be restricted to asking questions from the sets having quantitative metrics in order for it to be an objective process, but that doesn't really hold up, as far as I can see.

it can still be objective with a human in the loop assuming the human is honest. What's not objective is a human offering an opinion in the form of a paragraph with no definitive clarity on what constitutes a metric. I realize that elements of MY metric have indeterminism to it, but it is still a hard metric because the output is over a well defined set. Whenever you have indeterminism you would then turn to probability and many samples in order to produce a final quantitative result.

>If so, then (no surprise) I think there are some problems with it, but before I go further, I would like to check that I understand your position.

yes my position is that exactly. If all observable qualities indicate it's a duck, then there's nothing more you can determine beyond that, scientifically speaking. You're implying there is a better way?
Give an example in 1985 to show there are opportunities today is not convincing.
Many motherboards have 12V or 19V DC input barrels, I think thin-itx requires it.

Generally the keyword you want to search for is “industrial motherboard”, some server motherboards have them too. Asrock Rack and Asrock Industrial and Supermicro are great.

https://www.asrockrack.com/general/productdetail.asp?Model=A...

https://www.asrockind.com/en-gb/IMB-X1231

https://www.asrock.com/mb/AMD/X300TM-ITX/index.asp

(I fucking love asrock rack’s design team, absolute madlads and some seriously impressive density etc. they’re out there making the designs people don’t know they want, romed8-2T and genoad8x-2T are fantastic.)

Mini-box themselves sell dc-dc converters and “picoPSUs” that do this as well, although idk if they sell one with pcie power plugs. The M350 is a surprisingly high quality case for the price, and while my first picoPSU failed almost immediately (first shutdown iirc) they warrantied it no problem. A very funny trip through some oracle branded ordering/invoicing framework. Good people, good products.

My one criticism is that there is very obviously a lot of psu noise. I had a dell laptop and my pc desktop and the picopsu on an audio push-button switch and I kept getting a ton of ground loop and couldn’t figure it out etc and finally noticed it stopped and then came back as I plugged the M350 from the audio switch. Iirc it also showed through usb dac as well. I had the DIN plug brick and I think it has a lot of noise.

Intel NUCs are also extremely high quality implementations and have a great aftermarket with brands like akasa and hdplex etc.
Arguably, higher than your entry point plus the amount lost to inflation.
it’s not public, there is waitlist
thats until they stop competing
If robots carry out all the work there will be no 400T in salaries
I'm sorry; are you trying to suggest that the total addressable market of Nvidia is _literally the entire world's wages_?
Show HN: Visualize how you split your document into chunks for RAG applications
To create a LLM based Retrieval Augmented Generation, you need to create a retriever par which is basically an internal search on document excerpts from your knowledge base. The snippets to search on should be meaningful, not too large an not too small: thus choosing a correct splitting method is crucial. I've created a tool that lets you visualize how your choices of splitting criteria determine the chunks you get!
Gotta get demand up for their fossil fuel based economy somehow!
MFC made me run away and do embedded hardware and firmware full time. Because I would have had to go all in. And that would drive me insane.
Atomic Commits: Enhancing Code Quality and Review Efficiency
It’s completely different. The acceptable risk profile changes depending on a lot of factors, not only returns on investments. Someone holding on NASDAQ in back in the day would not see their investment go back to 2001 levels until 2016. That was quite a deep hole to climb out of.
> The Markup published some work in 2022 where they used OpenAddresses to use ISP's own tools to gather per-address service offerings and put them on a map. This is what the FCC's broadband map should be doing, but can't for the above (and political) reasons

I don't know if it's still the case, but ISP's tools for address offerings were unreliable enough that realtors have suggested getting an install estimate in writing if the seller didn't have broadband.
Lost about half my college money in the bust.

Not everyone can wait X years to get it back
You could label a bunch for OP and contribute to your own demise :D (It sounds like there isn't a large existing dataset since the author had to label P&C for testing and generate data for training.)
This does sound suspiciously like the “everything Internet” of the dotcom bubble.
so I’ll hope you’ll forgive me 2 years then on my “decade” statement which was not meant as literally as you took it.

There were mobile phones before the iphone. Like a whole ecosystem even! They even had screens! and browsers! and internet!

the major innovation the iphone brought was a touch screen (and a decent camera), which sort of existed, but nothing as smooth and crisp as the iphone. please i really hope people out there dont think the iphone was the invention of the cell phone.
> What does this achieve?

State-of-the-art digital solutions to liberate humanity from the tyranny of work.
I got sucked down a Geometric Algebra rabbit hole a few months ago, which seems like a remarkably concise and intuitive way to work in a very wide variety of geometries, including 2D, 3D, 4D+, non-euclidean etc. I've wondered if GA would make a good foundation for a physics engine...

There are a few small rust libraries that look interesting [1][2], but none with a lot of traction.

Has anyone looked into this?

[1]: https://crates.io/keywords/geometric-algebra

[2]: https://github.com/Lichtso/geometric_algebra

If you dare, a good place to jump in might be Freya Holmér's Why can't you multiply vectors? - https://www.youtube.com/watch?v=htYh-Tq7ZBI - Then https://bivector.net/index.html
Dunno, maybe you're right. I agree the technology choice is very bizarre, but have you noticed the emphasis on Unity in the last two WWDCs? It's clearly the game engine currently "blessed" by Apple.

I think there's a confluence of factors driving this. Foremost, they need a way for developers to make games, especially in the AR/VR space. SpriteKit and SceneKit have floundered, and RealityKit is not a complete solution to make games, let alone cross-platform games. They can't show any favor to Unreal Engine, even though it's superior, because of their fight with Epic. I wish they would invest more in something like Godot, but Unity has more marketshare (for now).

C# is a great language, and Apple is pragmatic enough to realize the cross-platform potential is much greater than Swift's. From what I've seen, Swift has little traction as a cross-platform tool compared to Mono. Lattner's departure took some wind out of the Swift sails, too.
Nonalcoholic beers need to simulate the slight bitterness of alcohol in some way, and adding hops is a low hanging fruit.
> The dotcom era bubble specifically refers to Webvan-era companies, which were almost universally over-funded and over-valued based on outrageous speculation about the potential of the internet.

Webvan was a good idea with bad VCs. They were forced by their funders to expand to too many locations, for the "first mover advantage". So they had 3% market share in 30 cities, instead of 30% market share in 3 cities. Which means a lot of trucks. Which Webvan bought and owned.
Webvan drivers were direct employees. The sub-minimum wage gig economy hadn't been worked out yet.

The people behind Webvan later did Kiva Systems and helped Amazon get warehouse automation going.
That’s literally the AI bull case. Replacement of all human labor.
I've shorten my NVDA position today, here's why
To me, it doesn't make more sense the price for the common stock for NVDA, a 66 p/e ratio for NVDA is anticipating them beating earnings handily for the next decade.

This is to think that AMD or any cloud provider wouldn't compute against them in this meantime.

But what really put me off, was their balance sheet, a slow town of roughly 18% in the output pace compared to the previous quarters is staggering. Which means they have at least 5 to 6 months of leading time before other vendor catch-up.

Enough for me, it was a fun ride since 2017.
> How was dotcom era a bubble?

Look at NASDAQ between 1995 and 2005. I’ve never seen anyone claiming that it was not a bubble. Sure, some companies survived (as some always do, a bubble is not the end of the world), but a lot of people took a bath.

> 3D TV seems to be a true bubble so far, I don't know if AI is

That is not what a bubble is. A bubble is over-valuation of a bunch of stocks, when all investors want to hop on the same train. The fad is the companies’ stocks, not (necessarily) their products.

Nobody was claiming that the Internet was a fad in ~2000, just that investors were so eager that ridiculous startups with dubious business models got tons of money dumped on them for no reason, and that the expectations were out of line with reality, even for successful big companies.
I get very little spam mail. So, when I recently started to get some random invitations to webinars related to “adding” AI features to products, I have shed any doubt on whether this is a bubble. (First because they call it “AI”—it’s ML, of course; second because it’s cold mass mail, there’s obviously not enough actual demand if they resort to dipping into spam databases—that speaks volumes.)
I used crtsh to discover certificates which were created in my previous company but I found about 20% of the time it returns some type of error (which is recoverable with a simple retry). Not sure if they fixed that, but I wouldn’t be surprised if a lot of companies use them and even profit from it somehow.
There will be equivalent value. Just means need UBI/etc
I'm an accelerationist when it comes to enshittification - there will be a pheonix rising out of all this shit.
I believe the machines generally disable themselves and need a factory technician to re-enable them should they fault out.
Yeah. „Shovel seller makes record profit“ is not exactly a refutation of a gold rush.
Ocev.js – Proxy all events for Web Object and handle events with Promise/Stream
docs and introduction: https://ocev.async-rustacean.top/docs/introduction
I tested a bunch of models while building https://double.bot but ended up back on gpt4. Other models are fun to play with but it gets frustrating even if they miss 1/100 questions that gpt4 gets. I find that right now I get more value implementing features around the model that fixes all the GitHub copilot papercuts (autocomplete that closes brackets properly, auto import upon accepting suggestions, disable suggestions when writing comments to be less distracting, midline completions, etc etc)

Hopefully os models can catch-up to gpt4 in the next six months when we fixed all the low hanging fruit outside of the model itself
I believe ozone + hydrogen + beryllium has slightly higher theoretical Isp, but no one has ever been crazy enough to try it.
Sure, but surely you'd have to dispose that much bitcoin over a really, really long time to not seriously move the price down... People might be disappointed at the amount of real money actually flowing around the cryptocurrency markets...