skysight-inc/HackerNews huggingface dataset:
You typically want as much VRAM as possible for this type of application.

For example, Llama has versions that take 32GB of VRAM, even after quantization (compression):

https://old.reddit.com/r/LocalLLaMA/comments/1806ksz/informa...

There are smaller versions too however if you're VRAM constrained.
Having a life expectancy over 10 years less than the average Japanese man doesn't seem like "not suffering from obesity symptoms".
The LuaJIT example isn't correct though, the lifetime of garbage collected objects is clearly documented: https://luajit.org/ext_ffi_semantics.html#gc
In the example function `blob` will not be collected because it is reachable from the `blob` argument local variable (IOW it is on the Lua stack). `ffi.string`() copies the string data into a new Lua string, and the lifetime of blob is guaranteed until the return of the function. So not sure what the issue is.

function blob_contents(blob) -- <- this ensures liveness until past return
local len_out = ffi.new('unsigned int')
local contents = hb.hb_blob_get_data(blob, len_out)
local len = len_out[0];
return ffi.string(contents, len)
end
? They've not been profitable idk what you're talking about
because that was the idea proposed on how to expand this concept to something else. that's how conversations evolve. someone says something that plants a seed for someone else, that then gets someone else thinking, that then, that then.
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It’s been ok. I’m running llama2 7b and it’s … fine. The results I get from gpt4 aren’t much better. This for general tasks.

Mostly I think I need to use LLMs more effectively
Fair enough - I just think this "bubble" has decent utility (arguably better than crypto, for example), and saying "AI" itself is a bubble, as the title proclaims, is something I disagree with.

ChatGPT and generative models being a panacea for every company, sure I can concede that its a bubble.

Like I said, it has yet to be seen how AI "consumer" companies will make more money and/or increase margins with generative AI products.
Surprised no one has mentioned hex yet. There was a post on the yc internal forum today about data stacks and a lot of founders mentioned they liked hex. I hadn't heard too much about them before but they looked interesting for someone (me) who typically prefers something closer to a jupyter notebook and simple stacks.
By way of example: the whole DARPA SBIR program is premised on the government funding R&D that will not be made public.
You’re using past tense - has this period ended for you?
Companies don’t pay nvidia for that though because nvidia doesn’t offer a product to replace 1% of the workforce.
No it's very high probability he's not that.
I see a study or an article along these lines every couple of months:

https://www.healthline.com/nutrition/benefits-of-wine
Related yesterday:

Submarine cables cut in the Red Sea.Authorities looking at potential terrorism

https://news.ycombinator.com/item?id=39506931
Silicon is the new gasoline and AI is the Ford Model T.

Except, AI is much easier for new players to enter and manufacture than the Model T ever was. We've already seen this with the fearsome market pressure people are putting on the current market leader, OpenAI, despite their sizeable first mover advantage.

In that sense, and only in that sense, do I think AI is a "bubble". Prices are going to fall very quickly as this technology weaves its way into every firm imaginable. Everyone else who finds a way to put AI to use productively moving atoms around, meanwhile, really will see their stock valuations explode.
It is a great gesture, but if someone gets to have a spare billion to donate, makes me think that it could be the case to increase taxes and make institutions as vital as school be funded publicly and consistently by governments rather than random act of philanthropy

It’s mad that someone accrued billions and students can’t get 60k for free to study

I consider this kind of events more as a proof of the inadequacy of the system rather than the contrary
I can't unlock a bikeshare in my city without GPS validating thru the app that I'm nearby. It's stupid. Assuming he means stuff like this.

As I understand, no one without a physical bikeshare rental card can check out a bike if GPS went down. Lots of apps that try to control user behavior and get access to permissions are probably similar
And here we are now. On the internet.
No it’s not. The bull case is replacement of labor that interacts directly with computers, and that one is already super bullshit based on the current results.
Maybe I should write up how we saved > 500k/yr on our AWS bills if folks find that stuff interesting.
Cobbler: Allows for rapid setup of network installation environments
Based on how they've backed off SpriteKit and SceneKit, I really don't think they will try to build a game engine. Bringing on the big game developers requires a cross-platform engine. Like Unity, one that can target Nintendo Switch, Xbox, Playstation, etc. Any money they pour into an effort like that would cannibalize sales on their own devices.
This is about to be us with Heroku.

Feels like software sales has just gotten worse for years now.
I suspect OP actually meant multivitamins. They come in such small doses that they likely don't achieve anything. I'm taking a few vitamins for specific results and thought "maybe I can just replace them with one of those prepared mixes?" Yeah, no. They contain 5-40x less than a single dedicated pill.

Also, they're advertised as a generic "feel better" thing, while most people won't be deficient in 90% of what those pills include. So what's the point them?
An absolute number without even mentioning the period is clickbaity. I'd like to know a percentage.

Our startup suffers from our AWS bill, but it's well below 10k a month. So we would be glad to reduce it by 3k or 5k.
As someone who taught college Calculus: enough of them grok it that incomprehensible label is absolutely unwarranted.

It's really a very hands-on part of mathematics.
The other answers are recommending paths which give you #1. less control and #2. projects with smaller eco-systems.

If you want a truly general purpose front-end for LLMs, the only good solution right now is oobabooga: https://github.com/oobabooga/text-generation-webui

All other alternatives have only small fractions of the features that oobabooga supports. All other alternatives only support a fraction of the LLM backends that oobabooga supports, etc.
No markdown here sadly.
A big thing here is that Superset and most of the other BI tools can connect directly to databases which is commonly the source of truth or data warehouse in some businesses.
Secondly, Elastic have focused on other operational areas such as security, observability, and indexing / search.
Kibana can do some dashboarding on those areas and its UI is nice, but Superset and similar tooling are more suited for BI purposes.
Seems similar to https://www.coscreen.co/
Just Salesforce.
Average time saved per task * Number of tasks * Cost of their time per hour.

At $100/hr (not unreasonable for Sr. SWE) - he just needs to save 30 hrs/mo.

Not to mention the opportunity cost of using that time on more impactful activities on their startup. AI can be a force multiplier for sure.
Strangely also the site linked in the gitlab is not a live site. One other question: why gitlab instead of github? I think this is the first OS library I've seen using gitlab instead of github or a self-hosted site
Show HN: Use AI to generate Kids coloring pages in seconds
There are few reasons:

> Productivity
> Readability
> Performance
> Static binaries
> Not needing PhD in rust, especially async rust

Rust works fine as high level language but it's absolutely awful for anything else and suffers from C++ feature creep. It would be a much better language if rust wasn't afraid of making `unsafe` an useful tool rather than thing that "everyone expect the core devs should absolutely avoid". Ergonomics would increase tenfolds if you could use it to essentially control the borrow checker better as well instead having to do mega abstractions (which aren't often zero-cost even) or hoops for every single thing.

https://zackoverflow.dev/writing/unsafe-rust-vs-zig/
This is unnecessary. The blob argument binding itself is making the object reachable throughout the function.
You can easily test it with collectgarbage('collect')
The author's example is simply mistaken about the relatively straightforward semantics of LuaJIT.
Older people cannot fathom this logic for some reason.
I had a scanner at my work before, but its feeder always got stuck on input paper. The slightest crease would set it off. I really stopped using it.
sounds more like a freak accident if the bullet even killed the horse ... cause above theory requires gun shots having been very loud but little deadly
I think the handhelds prove there's a market for mobile gaming. Thin and light 13" laptops would be a step up from those handhelds.

I would be interested also because AMD has better support in Linux and their mobile GPUs are hard to find in laptops.
> 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.

They only need to know well enough to send a tax bill. If someone is paying property taxes, that's good enough for the municipality. It's not good enough when people start suing each other, at which point the municipality very much does not want to own the liability for any mistakes.

Consider the simple situation in which Alice sells property to Bob, without revealing (intentionally or mistakenly) that Carol has a lien against the property. If Carol comes to collect and Alice cannot pay, then Carol now also has a claim to the property.

Things get even more complicated with fraud. Lets say that Eve manages to fraudulently record a transfer from Alice to Eve, and then sells the property to Bob. Bob has not committed fraud, but Alice also should own it. In systems in which the government registry is indefeasible, then Bob owns it; Alice may recover money (see above why municipalities don't want to be liable), but not the property (had Eve been caught before selling the property then the fraud would have invalidated her claim, but Bob hasn't committed any fraud).
The Carrington event was about 7 days, so one could assume this would affect EVERY country.

So the hypothetical nation state here would need a ready-to-go plan ready to roll out at any time, and the plan must assume the native country also has all electronics knocked out along with the adversarial country. Such an all-out attack by itself would turn the world against this aggressor, moreso since it exploited the event and was premeditated. I think it's unlikely, it would be a crazy thing to do.

Now, who do I think might want to pull off something like this? A terrorist group could have a plan spooled up just waiting for this event. That, and I would expect some opportunists to appear as well.
which means: you tell the compiler
B.C. lawyer reprimanded for citing fake cases invented by ChatGPT
Obviously talking my own book here, but we've helped dozens of customers make the transition from prompted GPT-4 or GPT-3.5 to their own fine-tuned models at OpenPipe.

The most common reaction I get is "wow, I didn't expect that to work so well with so little effort". For most tasks, a fine-tuned Mistral 7B will consistently outperform GPT-3.5 at a fraction of the cost, and for some use cases will even match or outperform GPT-4 (particularly for narrower tasks like classification, information extraction, summarization -- but a lot of folks have that kind of task). Some aggregate stats are in our blog: https://openpipe.ai/blog/mistral-7b-fine-tune-optimized
> ML/AI existed before this "bubble" and will continue to exist after.

All the more reason to assume the new run up is indeed a bubble.

> actual utility

What utility?
There aren't a lot of market makers or automated trading firms throwing around several hundred billions on a single stock. These types of strategies usually don't scale well with size.

Thats usually flows from hedge funds, family funds, pensions and large banks. And more retail presence in trading is playing a part in that too. Typically most of the things I described are not automated, though there might be more data science involved nowadays than say 30 years ago. You can probably confirm this yourself by looking at nvidias largest shareholders. I don't think Citadel or 2sigma is just sitting on tons of nvidia.
The thing being useful in the long term does not mean that any valuation is right, or that any business model involving the thing makes sense. These are different things.
The quote is from the article, not from a comment.
In many cases, you do not need to pin the object, only keep it alive. Current Java has a reachability fence for this: https://docs.oracle.com/en/java/javase/17/docs/api/java.base...

I think I saw this first in MLton, which has a touch function for this purpose: http://mlton.org/MLtonFinalizable

I'm not convince this is particularly hard to use functionality, all things considered. Supporting explicit deallocation in a safe way is much harder, especially if FFI callbacks are involved.
They're good, but they still put Jalapeños into many, if not most, of their salsas. I'll check the labels, and buy if its not in there, but that's become rarer and rarer.

For a while there was a "Hatch" branded salsa, which, naturally, only had Hatch peppers in it, but my local store seems to have rotated them out of stock.
Actual Reuters article: https://www.reuters.com/technology/cybersecurity/cyber-secur...
To where? The US?
Since this bugged me all day, and I suspect you are the kind of person where it bugged you all day, too, here is a better description of the "fall"/"hall" distinction.

I think we can agree that these are the six possible, equally likely, configurations of the problem starting from me having chosen door 1. G1 here is "goat 1" and G2 is "goat 2". For each possible prize behind my chosen door, there are two possible configurations of the remaining prizes.

My Door | Door 2 | Door 3
Car | G1 | G2
Car | G2 | G1
G1 | Car | G2
G1 | G2 | Car
G2 | Car | G1
G2 | G1 | Car

With the "Monty Hall" problem, Monty uses his knowledge to always open a goat door. Thus we see the following revealed options and resulting 2/3s probability of switching succeeding. This is the classic version of the problem.

My Door | Door 2 | Door 3 | Monty Reveals | Switch Result
Car | G1 | G2 | Either | Lose
Car | G2 | G1 | Either | Lose
G1 | Car | G2 | G2 | Win
G1 | G2 | Car | G2 | Win
G2 | Car | G1 | G1 | Win
G2 | G1 | Car | G1 | Win

With "Monty Fall", the first thing that happens is a randomly chosen door, that isn't our own, reveals a goat. This is interesting. In the classic problem we were always going to see a goat next, because those are the rules Monty plays by. But in this case, the fact that we randomly found one wasn't guaranteed.

Essentially, you are blindfolded and throw a dart at the 2x6 grid of cells under the headers "door 2" and "door 3", and I tell you that the cell you've hit is a goat. What do you know about the row you hit being a switch-or-stay row? Well, half the possible goats you might've hit are in the first 2 scenarios where you should stay, and half the possible goats are in the last 4 scenarios where you should switch. So you're at 50/50. You don't have any new information to switch on.

My Door | Door 2 | Door 3
Car | G1(a) | G2(b)
Car | G2(c) | G1(d)
G1 | Car | G2(e)
G1 | G2(f) | Car
G2 | Car | G1(g)
G2 | G1(h) | Car

You are just as likely to be looking at (a), (b), (c), or (d) (so you should stay) as you are to be looking at (e), (f), (g), or (h) (so you should switch). It is 50/50 in this version of the problem.[footnote]

This may make it confusing going back to the original. I seem to have shown that both ways make sense but still, how is it different? Imagine it like Monty is doing a random dice roll for which door to open, and he simply juices the outcome by correcting it to the goat door when a car door is selected, since he can't reveal a car and spoil the game. Now we have these equally possible scenarios (a) through (l) for his fair dice roll...

My Door | Door 2 | Door 3
Car | G1(a) | G2(b)
Car | G2(c) | G1(d)
G1 | Car(e) | G2(f)
G1 | G2(g) | Car(h)
G2 | Car(i) | G1(j)
G2 | G1(k) | Car(l)

Which he corrects, avoiding cars, to:

My Door | Door 2 | Door 3
Car | G1(a) | G2(b)
Car | G2(c) | G1(d)
G1 | Car | G2(f,e)
G1 | G2(g,h)| Car
G2 | Car | G1(i,j)
G2 | G1(k,l)| Car

Now we are back to the original game scenario where we see a goat no matter what. And we can see that 8 of the possible ways we might have arrived at seeing this goat come from "switch" rows while 4 come from "stay" rows.
Considered bare metal at all? Also have a startup - we estimated our cloud bill would have been over $4k/mo+ but on bare metal we are running at about $200/mo
I'm not seeing any mention of a Miyake event[1]:
"It gets even scarier when you compare the Carrington Event with the Miyake Event. Scientist were able to estimate the strength of the Carrington Event based on the fluctuations of Earth’s magnetic field as recorded by observatories at the time. There was no way to measure the magnetic fluctuation of the Miyake event. Instead, scientists measured the increase in carbon-14 in tree rings from that time period. The Miyake Event produced a 12 percent increase in carbon-14. By comparison, the Carrington Event produced less than 1 percent increase in Carbon-14, so the Miyake Event likely dwarfed the G5 Carrington Event."

1.https://www.astronomy.com/science/a-large-solar-storm-could-...

Original Paper:
https://www.nature.com/articles/nature11123

Dating using Miyake events:
https://www.science.org/content/article/marking-time-cosmic-...

Additional link:
https://daily.jstor.org/the-carrington-event-of-1859-disrupt...
Only for the rare case when someone put all their savings into tech companies in one big swoop exactly at the top of 2000.

If you imagine a person, say 30 years, who thought in 1980 "Hey, I'm going to hold my savings in tech companies because tech is where the music is" and started accumulating throughout the 80s, 90s, 00s, 10s ... They would have a great time all along. And would be a happy 70 year old now.
The argument is that the JIT might realise that blob is never used beyond that line, and collect it early. In general that would be a desirable feature.
Seems to specifically include them?

https://media.defense.gov/2023/Apr/27/2003210083/-1/-1/0/CSI...
Those are somewhat meaningless as people avoiding a bubble can still invest later. If the person had waited until after the bubble he could have made 500x instead of 50x.

Just because something may eventually be a profitable investment that doesn't mean that it is the best place for you to currently invest your money.
gamma ray burst is a fun one (though unlikely thankfully!) -- a similar one that gets me excited is "false vacuum collapse" whereby the "energy" of the fabric of space itself is at a local but not global minimum. So in some unspecified conditions it drops to a lower/lowest minima and a destructive wavefront expands through the universe at the speed of light. Since the universe is so large, maybe one is already expanding right now, you'd never know (since speed of light). The upside is you'd never know it happened since death would take nanoseconds. Last I read about it, we don't know whether it's a local minima "false vacuum" versus global minimum.
And it will be taking an even bigger dump on us all.
Tech isn't the issue. Tech is neither good nor bad - it all comes down to who has access and control of the tech and that's always rich people and that's always good for rich people and usually no-one else.
More like sending my prompts to "improve the user experience" and yes probably not in hardware, who knows.
Crypto: It's good for money laundering and evading sanctions!
I wonder if that will change the offered tests. I'm not sure how common that is globally, but in my area you can't really get B3 tested in the usual places. There a few indirect things you can check in urine, but it's also not common.
"ML" and "AI" are polar opposites as far as business is concerned. (ML is interpretable and testable models with clear KPI indicators, AI is "let's value-add to public domain data and upsell the result".)
I prefer to use local models when running data extraction or processing over 10k or more records. Hosted services would be slow and brittle at this point.

Mistral 7B fine-tunes (OpenChat is my favorite) just chug through the data and get the job done.

Details: using vLLM to run the models. Using ChatGPT-4 to condense information for complex prompts (that the local models will execute).

I think, the situation will just keep on getting better with each month.
It is known as Sinclair's law.
Ultra 1.0 is the model behind Gemini Advanced, which is generally available.
How did you get scurvy?
Just do a google scholar search for "marijuana lung damage" or similar and you will find that there is no clear evidence (yet) for correlation between consumption and lung cancer. There is convincing evidence for significant effects related to inhaling smoke - all the usual ones you'll also find with elevated PM2.5 levels such as emphysema, asthma, chronic cough, bronchial inflammation, etc.

You will find disturbing (and growing) evidence linking marijuana use and heart health. Turns out regularly raising your heart rate and dropping blood pressure increases a host of risks for those susceptible to cardiac issues. On the order of 30% more risk for daily smokers.

No doubt inhaling smoke is bad for you, but vaping a couple of times a week is definitely in the noise. You likely have more lung damage and risk to your heart from cooking food in your kitchen without proper ventilation (virtually 90% of homes). If you're smoking a joint a day then the scientific data should give you pause, assuming you're optimizing your life choices for health.

Back to my original point - the equivalent to a joint a day would be several glasses of alcohol a day, and the health impacts are not even comparable (alcohol consumption is far worse overall).
There's plenty other applications.

Network routing can be implemented in (e)bpf. It's even the original use case.

But there's also the LSM based on ebpf, there's a user space scheduler (Google iirc), seccomp and some cgroup filters can be done in bpf...

It's the Lua of the kernel at this point. Provides a lot of extension points.