skysight-inc/HackerNews huggingface dataset:
> Most people I know who "need" a truck would absolutely be able to do everything they use their truck for with a small hatchback to a medium sized crossover.

Once again, let me restate that, and maybe it'll sink in.

> Most people I know who "need" a truck would absolutely be able to do everything they use their truck for with a small hatchback to a medium sized crossover.

These people aren't really doing anything that would seriously impact their lives if they didn't own a truck, but they convinced themselves they needed a truck.

I'm not saying this about all truck owners; I know lots who actually do tow campers and boats, who actually do pickup yards of gravel and what not on a regular basis, who literally do live on a ranch, etc. And I know tons of people who own a truck because how else would they get their mountain bike to the trail across town, or who have such a culture deeply ingrained in their mind they couldn't be seen driving a smaller vehicle for more than a day. That they need it because "it's comfortable", as if a luxury sedan isn't comfortable. For many it is a lifestyle choice they choose to make to drive a vehicle massively oversized for their needs, and is not at all similar to the fact I need a car to to most stores and generally function in society because that's how this city was designed.

If you haven't been to the Southern United States, you probably just don't understand the truck culture I'm talking about.

You may think I'm making some straw man, but I personally know more than a dozen of these people.
Is this an actually good explanation? The introduction immediately made me pause:

> In classical computers, error-resistant memory is achieved by duplicating bits to detect and correct errors. A method called majority voting is often used, where multiple copies of a bit are compared, and the majority value is taken as the correct bit

No in classical computers memory is corrected for using error correction not duplicating bits and majority voting. Duplicating bits would be a very wasteful strategy if you can add significantly fewer bits and achieve the same result which is what you get with error correction techniques like ECC. Maybe they got it confused with logic circuits where there’s not any more efficient strategy?
How did you do on the AI art Turing test?
This is really strange reasoning: "people claim that in field X, group Y doesn't enter for reason Z. Therefore if in field A group B isn't entering it MUST be for reason Z, and couldn't possibly be for another reason".
I find it amusing that we would frame an ensemble of models as "cheating". Routing to a collection of specialized models via classification layers seems like the most obvious path for adding practical value to these solutions.

Why conflate the parameters of chess with checkers and go if you already have high quality models for each? I thought tool use and RAG were fair game.
Show HN: Mammal – (Yet another) LLM client built on Tauri
Mammal is an LLM client built on Tauri. It supports a bunch of providers (esp. the openai API compatible ones). It's a side project borne out of my desire to have a local store of my LLM interactions, and I took it as a chance to experiment with building on Tauri.

Lots of my experimentation with prompting is with productionizing prompts in mind, so I have lots of thoughts about moving in that direction. But the basic client is useful right now (if not entirely bug-free).

Feedback welcome :)
Yes, that is the case. It is largely 4B in capex investment, I’d imagine 10% or less is cash. One would think nvidia could get much better terms investing its gpu (assuming they can get it into a working cluster). Instead it’s nvidia gets cash for gpu hardware, that hardware gets put into a data center and AWS invests their hardware as credits for equity instead of cash. And because AWS has already built out their data center infra they can get a better deal than nvidia making the play because nvidia has to rebuild an entire data center infra from scratch (in addition to designing gpu etc).

Now if AWS or gcp can crack gpu compute better than nvidia for training and hosting, then they can basically cut out nvidia and so essentially they get gpu at cost (vs whatever markup they pay to nvidia).

Because essentially whatever return AWS will make from Anthropic will be modulated by the premiums paid to nvidia to invest and also the cost of operating a data center for Anthropic.

But thankfully all of that gets mediated on paper because valuation is more speculative than the returns on nvidia hardware (which will be known to the cent by AWS given its some math of hourly rate and utilization which they have a good idea of)
I love Claude 3.5 sonnet and their UI is top notch especially for coding, recently though they have been facing capacity issues especially during weekdays correlating with working hours. Have tried Qwen2.5 coder 32B and it's very good and close to Claude 3.5 in my coding cases.
Famous last words :)

I was adding a scripting language to an application, I just needed a scripting language, that was 16 years ago.
https://www.youtube.com/watch?v=YIlL0T2yTss
From what I can tell it's using a neural network to derive an image from the interference patterns of light.

I imagine you could do this using a standard computational model, it would just be very intensive. So I guess it would be 'enhanced' in the same way a JPEG stores an image in a lossy format.
This bogus number comes from putting a value on the supposed environmental cost, but that is not what subsidy means in the economic sense. We already established that if we somehow could globally settle on a price for externalities, alternatives would be competitive, but they would still be intrinsically more expensive.
The labels feature was originally designed to help PROTECT against harassment - people being harassed can use labels to share notes with each other about hostile accounts.

Does that positive use of the feature outweight any potential negative uses?
Keep it simple. I think your examples might be too advanced. Failing is boring.

You know these 'sticks' that you hold an ice cream with?

Bend those into a propeller. Wet them with water if they crack. Drill a hole (or cut with knife) through the middle and put it on a small electric motor and attach a battery or power source. Spin it up and watch the propeller fly off.

Just give him or her the things and say the goal. And that you don't know if it will work. The hard part is figuring out to bend with water and to get the right fit on the hole to the axis.
Hey saw your message a while back in a thread talking about continuous glucose meters and feeling tired and fatigued etc.
Mind contacting me? I'd love to chat. My email is in my profile
Hated Poles, Jews, French, Germans - anyone not Russian.

But that does not make one a Nazi.

Thinking that it does dilutes the discussion.
Judge rules SiriusXM's annoying cancellation process is illegal
"All diodes are light-emitting if you try hard enough"
You changed the problem. Postel's law is not about writing the protocol but implementing it.

Sure, protocol should be designed to be as specific as possible but unfortunately these are not always defined up to that point for any good or bad reasons, and we generally are at best just in the implementation side and cannot influence the writing of the protocol, so the Postel's law is the best we can apply to avoid having to cooperate with the rest of the planet.
The amount of free chats you get per day is way too limiting for anyone who uses LLMs as an important tool in their day job.

20 USD a month to make me between 1.5x and 4x more productive in one of the main tasks of my job really is a bargain, considering that 20 USD is very small fraction of my salary.

If I didn't pay, I'd be forced to wait, or create many accounts and constantly switch between them, or be constantly copy-pasting code from one service to the other.

And when it comes to coding, I've found Claude 3.5 Sonnet better than ChatGPT.
I think Claude is actually superior to ChatGPT and needs more recognition. So good news, I guess
I've been taking the exact opposite view: Android is a messy, ugly OS, from the unmaintained hacked-up kernels to the user-hostile UI, and I've wished that they'd scrap it and rebase those usecases onto the shockingly vanilla Gentoo spin that is ChromeOS.
Makes sense, because to write it you have to understand everything, which means keeping code super well organized.
I wonder if there is a meaningful limit to number of listening zones. I’m imagining a 3d grid of virtual mics in a space, each with an AI behind it

Heck, train the model on the raw sensor data and you get the most awesome conference mics
I would say the hype around Rails has settled since a long time ago, that is maybe why you feel that but now since Rails 8, it is gathering a little bit momentum again.

But you should correlate what the talk of the town is with how much something is being used, it is still heavily used and a good option for startups.
Here in coastal British Columbia, it’s the removal of ocean fish farms that has sent the dwindling numbers of pink salmon soaring again!
Becomes a lot less interesting when you consider that there's no way to power such a camera for any meaningful period of time without a much larger battery (ignoring the issue of storage/transmission).
Can anybody help us understand under this line of logic, which not the only one, clearly:

For driving, which is a dangerous activity, you need to qualify for it and regularly show you can handle the task responsibly, to avoid endangering yourself and/or others, but guns are a right without the need for any qualifications whatsoever? I'm not American, clearly, and I never got my head around this one fact, which I admit could be lowest of the low standard needed in the "I'd like to own a gun" for some reason category.
Agree that a college degree sends a strong signal that you can conform to the expectations and requirements of an institution. You can show up when required and follow instructions to achieve an outcome over a period spanning years. This is a valuable signal to employers that you meet some bare minimum of employability.
What tools do you propose to give them?
I'm working with models and the costs are ridiculous. $7000 card and 800 watts later for my small projects and I can't imagine how they can make money in the next 5 to 10 years. I need to do more research on hardware approaching that reduces costs and power consumption. I just started experimenting with llama.cpp and I'm mildly impressed.
Very clear water is dead-er than turbid water. Very clear water means nothing is living in it.
This news is about the end of a dam removal project. I believe this is also the end of the oldest dam removal project. The Klamath and IIRC the local tribes were the original test for salmon restoration/dam breach projects in the PNW, and subsequent programs are copying their success.

One of the things that makes salmon ladders more effective is introducing artificial noise of falling water. Turns out when salmon find themselves in still water they head for the sounds of the inflow, which dams either don't have, or are from spillways that the salmon cannot navigate.

Most salmon want to go back exactly where they are born, and on a three year cycle (or at least, that's the pattern on the Klamath). So if you were to introduce hatchery salmon in 2024, in 2027 and every three years after you'll have a full run, and only a small number of fish in the remaining years. Which probably isn't good for genetic diversity. So you end up having to stock at least 3 times, or just wait and see what happens.

NOAA page listing the history of work on this river (could use a timeline):

https://www.fisheries.noaa.gov/west-coast/habitat-conservati...

Whites Gulch Dam, ca 2008:

https://www.fisheries.noaa.gov/feature-story/building-networ...
It is not unreasonable to think of bats as flying mice.
Starting to see more & more of this with drones. In some cases, it's for military to detect drones nearby. In others, it's being used by drone delivery companies to detect other planes in the sky in a way that is cheaper, works in low-visibility, and doesn't use the same power requirements as radar.
It may be that humans practice things, but they’re still mostly pretrained capabilities that activate. Most of walking and balance is subconscious and not “learned” via experience. We have dedicated neural hardware for this.

Language processing is another example. There’s dedicated neural hardware designed for this specific task.
What We Learned from Red Teaming Our Top Charities
Isn't air pressure the only thing that microphones actually measure?
lmao of course the image looks like those monster pov shots from a 1980s horror movie
Smalltalk and lisp are arguably even more dynamic and yet we have examples of faster runtimes for both.
iOS does voice recognition on audio without the red bar for microphone being on,
so the active app has access to the text of what's being spoken around it
Microsoft Is First to Get HBM-Juiced AMD CPUs
Cost of inference will tend to the the same as cost of a Google search. It is infra that will come down to negligible and almost free. Then as others have said it will tend to freemium (pay to have no ads). And additional value added services as they continue to evolve up the food chain (ai powered sales, marketing, etc)
Insightful!

Do you know of any "large scale" research on this? I.e. analysis of multiple related projects and/or of "real life stories."

(I agree regardless.)
I miss the visualizers.
That threw me off as well. Majority voting works for industries like aviation, but that's still about checking results of computations, not all memory addresses.
Kind of off topic, but Marble Madness was a large part of what inspired me to start programming. My dad played it when he was a kid and it made an impression on him, so he had me play it on MAME as a kid. I was blown away by the fact that computers can simulate (fairly complex) falling objects in an isometric space, but I couldn't figure out for the life of me how to reproduce that in Game Maker 7 at the time. When I got better at math, it influenced a project in my teens that's on my resume to this day.
AWS is just playing copycat with msft. They rarely have any good original ideas. Other than IaaS and online retail.
This is the direction I am building my personal LLM based scripts. I don’t really know any python but Claude has written python scripts that e.g. write a document iteratively using LLMs. Next step will be to use voice and autogpt to do things that I would rather dictate to someone. E.g. find email from x => write reply => edit => send

Much more directed/almost micro managing but it’s still quicker than me clicking around (in theory).

Edit:
I’m interested to explore how much better voice is as an input (vs writing as an input)

To me, reading outputs is much more effective than listening to outputs.
> The internal model of a LLM is statistical text. Which is linear and fixed. Not great other than generating text similar to what was ingested.

The internal model of a CPU is linear and fixed. Yet, a CPU can still generate an output which is very different from the input. It is not a simple lookup table, instead it executes complex algorithms.

An LLM has large amounts of input processing power. It has a large internal state. It executes "cycle by cycle", processing the inputs and internal state to generate output data and a new internal state.

So why shouldn't LLMs be capable of executing complex algorithms?
Headline is just awful. The words "intifada" and "final solution" appear nowhere in the article. Not even anything that hints at them.

The article mentions a spray-painted "Free Gaza", and ends with "The protesters also distributed flyers, and overturned garbage cans." That's the extent of it.
Translation has always been interesting to me as I speak Mandarin, Swedish, and English.

I think a lot of subtlety gets lost in translations, even from person to person. Is the more "academically correct" translation better, or is the one that captures the slang and the vibe in modern terms and memes in a way we can feel the speaker more correct?

I think most people who choose the former look at translations as something that is absolute and objective, but I think translations, like most communication, needs to be subjective to both the speaker and the reader.

And just as humans can get each of these "wrong," LLMs can and will, too
> And the sudden comparison to something that's safety critical is extremely dumb. Nobody said we should tie the LLM to a nuclear bomb that explodes if it makes a single mistake in chess.

But it actually is safety critical very quickly whenever you say something like “works fine most of the time, so our plan going forward is to dismiss any discussion of when it breaks and why”.

A bridge failure feels like the right order of magnitude for the error rate and effective misery that AI has already quietly caused with biased models where one in a million resumes or loan applications is thrown out. And a nuclear bomb would actually kill less people than a full on economic meltdown. But I’m sure no one is using LLMs in finance at all right?

It’s so arrogant and naive to ignore failure modes that we don’t even understand yet.. at least bridges and steel have specs. Software “engineering” was always a very suspect name for the discipline but whatever claim we had to it is worse than ever.
Of course nobody believes them. Companies have explicitly pushed for the current state of affairs where legal entities can only be held to legally binding statements; everything else is fair game.

If that is the standard you want, then any statement that is not legally binding is, on its face, deceptive bullshit. If you want to quibble that, "technically speaking your honor, there exists a contrived interpretation in the worst-of-all universes where what I said is not technically false", then any statement that does not precisely encompass the stated behavior is still deceptive bullshit.

If they want to be believed, then they need to make irrevocable, legally binding statements that expressly and broadly cover the common sense interpretation with strict liability, no-fault, liquidated damages clauses for failure to keep them honest. Anything less is legally not worth the paper it is written on.
GhostWrite: Exploiting CPU Bugs in RISC-V Vector Instructions [video]
ok, so it depends on time, place, gender, probably also age and occupation.
"Accurate results" gets you into the "what even is a photo" territory. Do today's cameras, with their huge technology stack, produce accurate results? With sharpening and color correction and all of that, probably not.

I agree that measuring against such a test would be interesting, but I'm not sure it's possible or desirable for any camera tech to produce an objectively "true" pixel by pixel value. This new approach may fail/cheat in different ways, which is interesting but not disqualifying to me.
Hate to be that guy, but did you tell it up front not to ask? And, of course, in a long-running conversation it's important not to leave such questions in the context.
Are you a paying customer? I exclusively use their best model and while I get warnings (stuff about longer chats leading to more limit usage), I've never been kicked out.

The only thing is that they've recently started defaulting to Concise to cut costs, which is fine with me.
RTO and moving the agency across the country is probably a fairly effective way to axe a lot of employees.
Loving God is not for God's benefit, for It can gain nothing from us. Loving It reflects back into our consciousness, thereby helping us become love-oriented.

Our free will is so sacrosanct that we are free to deny that we even have it, and free to be self-defeating fools living in the misery of our selfishness.

There is a better way, though. The choice is yours, my friend.
The effectiveness, and moreover the underlying sincerity of these "warnings" have been widely and severely criticized. Meanwhile, the IDF has gone right on bombing people even when they went to areas they were told would be "safe". At the end of the day -- they're just lip service, basically.

Gaza evacuation warnings from IDF contain many errors, BBC finds - https://www.bbc.com/news/world-middle-east-68687749

Israel's warning system and evacuation alerts leave Gaza residents confused - https://www.abc.net.au/news/2023-12-21/israel-gaza-map-block...

They Were Told They Were in a Safe Area. Then Came the Missiles - https://www.nytimes.com/2024/07/15/world/middleeast/israel-h...
> ChatGPT just spits out an answer and doesn't really help with learning

This 100% could NOT be further from the truth. My 11-year old daughter uses ChatGPT daily and it is best teacher and the best tutor she's ever had. You are assuming that kids will (and their parent will allow) use ChatGPT to simply put in their HW and get answers. If used properly it is an invaluable tool for children and every child who doesn't use it will be at a huge disadvantage...
> Bluesky uses content-addressed content, so that content can survive if a node goes down

Does anyone have recommended reading about how Bluesky implements this? I've skimmed the docs at atproto.com but I'm not sure how this fits in there. It's also not clear to me how content-addressed content protects against node failures in general.
The only way I can explain people getting 98% accuracy on this is being familiar with the handful of AI artists submitting their work for this competition.
So the modes communication with built-in back doors for three-letter agencies were able to be monitored completely by an adversary whilst those designed with no known backdoor (iMessage) were not.

Good to know.
Yes, but it still requires higher temperature than cigarette can deliver.
> bats (the flying mammal)

As opposed to?
what is the system/user prompt you've set for her to get it to work that way? "never give me the answer directly"?
You just need to buy actual video conferencing gear, this is par for the course.
Playdate likely took the initial interactions with the police as a sign of how that would play out. It was already slower and a lot more work, including flying to Las Vegas in-person, to involve law enforcement.

Maybe those construction workers will steal again. But also maybe they realized how easily they were found out, how hard it actually is to offload stolen goods, and decide it’s not worth the hassle to steal again.
I don't think he was cancelled so much as a laughingstock after his 2009 Thanksgiving car crash. That sent the value of the "I am Tiger Woods" marketing to zero. https://www.si.com/extra-mustard/2017/11/24/tiger-woods-car-...
Well. If you're using AI instead of a search engine, they could make the AI respond with product placement more or less subtle.

But if you're using AI for example to generate code as an aid in programming, how's that going to work? Or any other generative thing, like making images, 3d models, music, articles or documents... I can't imagine inserting ads into those would not destroy the usefulness instantly.

My guess is they don't know themselves. The plan is to get market shre now, and figure it out later. Which may or may not turn out well.
"I think this criticism is good" does not mean I agree with it; it's just that I have read so many criticisms that are poorly formed, come from a place of ignorance, stuff like that. This one is at least informed, doesn't make any obviously factually incorrect statements, seems to be trying to provide more heat than light, etc.