skysight-inc/HackerNews huggingface dataset:
> It does nothing to affect the actual conflict, just annoys students who are there to study.

I somewhat agree but there is power in positioning the Overton window even if ultimately you do a poor job of bringing people to your side within it. If you don't have billionaires bankrolling a 24 hour network and can set the editorial themes for you, you have to take other paths.

I also think when people say this, they forget that "if you stuck to the proper channels I still wouldn't care about your issue but I would be less annoyed" isn't exactly a sales pitch.
Chat GPT-4o (OOOO!)
- the largest electricity bill in the world.
The realtime end-to-end audio situation is especially interesting as the concept has been around for a while but there weren't any successful implementations of it up to this point that I'm aware of.

See this post from November:
https://news.ycombinator.com/item?id=38339222
They get installed in stuff like the Home Assistant Yellow, or the Timecard Mini.

https://www.home-assistant.io/yellow/

https://www.jeffgeerling.com/blog/2023/time-card-mini-adds-p...
Yes. “Holy trinity” locally.
Note: this is HN, not electrek so maybe tone down your condescension.

All of the issues have workarounds but the illogic of form over function made me reconsider the purchase - because if I could find these issues in a few days of renting the car, who knows what I'd find if I owned it for a few years.

And for (3), no I was pressing brake - it simply refused to kill the game and go back into drive - I had to quit the game.

Ultimately many other folks are doing the same sort of eval. And Tesla had years to refine their approach, take customer input and... did crazy other things.
> LLaMA still has an "IP hook" - the license for LLaMA forbids usage on applications with large numbers of daily active users, so presumably at that point Facebook can start asking for money to use the model.

No, the license prohibits usage by Licensees who already had >700m MAUs on the day of Llama 3's release [0]. There's no hook to stop a company from growing into that size using Llama 3 as a base.

[0] https://llama.meta.com/llama3/license/
Version in repository name feels wrong
I think this is a great example of the bootstrapping that was enabled when they pipelined the previous models together.

We do this all the time in ML. You can generate a very powerful dataset using these means and further iterate with the end model.

What this tells me now is that the runway to GPT5 will be laid out with this new architecture.

It was a bit cold in Australia today. Did you Americans stop pumping out GPU heat temporarily with the new model release? Heh
I found i off-putting as well

guess it's just biased with average Californian behavior and speech patterns
His comparison to global warming and hurricanes was on point. The issues with his mom and global warming seemed equally difficult to resolve. With the obvious issue that there does not seem to be an adult in the room that solves the issue.
You may enjoy the novel "Lest Darkness Fall" by L. Sprague de Camp, who explored this idea back in 1939.
Personalized per-patient treatments are going to need some manufacturing breakthroughs to make them not be cost prohibitive.

Is anyone working on that?
Ask HN: Startups – Are you on a monorepo or multi-repo set up?
Hello friends! We're designing our next iteration of deployment tooling, and wanted to get a feel for whether startups with < 10 engineers structure their code in a monorepo or multi-repo way. (no judgement either way).

Do you -

1. Mono-repo (frontend + backends + services + infra [...]) all in 1 repo)

2. Multi-repo (separate out frontend, from backend / each services /) or any other cross-repo structure

What's your guys' structure?
If only elevenlabs wasnt so fuckin expensive, i wish we had a group working on this on the opensource side.
Isn’t Black Mirror supposed to be a cautionary tale?

https://en.m.wikipedia.org/wiki/Metalhead_(Black_Mirror)
No. Price is an amalgamation and approximation of a lot of different factors rolled into one.

Concepts like cost and value are much deeper and richer than economic cost and economic value.
Nice to see an open source implementation, i have been seeing many startups get into this space like https://www.retellai.com/, https://fixie.ai/ etc. They always end up needing speech-to-speech models (current approach seems speech-text-text-speech with multiple agents handling 1 listening + 1 speaking), excited to see how this plays with recently announced gpt-4o
I've worked in software and tech my whole life and there are few things I dislike more than talking to a computer.

I don't use siri. I don't use speech-to-text. I don't use voice-response menus if I can push a button. I don't have a microphone on my computer.

I don't know why this is. Most of the people I know think it's fun, or a novelty, or even useful. I just viscerally dislike it.
I once drank a 2-liter bottle of Mountain Dew, and then fell asleep about 2-3 hours later.

A few hours later, (about 6 after drinking all of the Mountain Dew,) I pooped. As everything moved in my insides, the caffeine finally hit me all at once.

So it's completely possible for a sleeping pill to sit in Well's stomach for a few hours before he finally absorbed it. I wouldn't attribute any malintent on his part here.
> humans can be trained on material created by less intelligent humans.

For the skeptics, "AI models" are not intelligent at all so this analogy makes no sense.

You can teach lots of impressive tricks to dogs, but there is no amount of training that will teach them basic algebra.
Then the current offering should suffice, right?
It sounds you are basically advocating for the Decisive Plan as put forth by the current Minister of Finance.

Am I reading you correctly, here?

Do you have a sense as to what portion of the non-Arab population in Israel would support such a project? A rough percentage estimate would be greatly appreciated.
Are 7 steaks the same as hamburger steaks? e: https://en.m.wikipedia.org/wiki/7-bone_roast

I guess I’ll know now what it means to miss New Orleans when I leave. And here I was worrying about not being able to find collards and turkey necks.
I chuckle about it with family and friends without having bought any shares. It’s not a requirement.
after watching the OpenAI videos I'm looking at my sad Google Assistant speaker in the corner.

Come on Google... you can update it.
Can't wait for Meta's version 2 years down the line that someone will eventually fine tune to Agent Smith's personality and voice.

"Evolution, human. Evolution. Like the dinosaur. Look out that window. You've had your time. The future is our world. The future is our time."
The word you want is “pokazukha”
Where I work in the hoary fringes of high end tech we can’t secure enough token processing for our use cases. Token price decreases means opening of capacity but we immediately hit the boundaries of what we can acquire. We can’t keep up with the use cases - but more than that we can’t develop tooling to harness things fast enough and the tooling we are creating is a quick hack. I don’t fear for the revenue of base model providers. But I think in the end the person selling the tools makes the most and in this case I think it continue to be cloud providers. I think in a very real way OpenAI and Anthropic are commercialized charities driving change and commoditizing rapidly their own products and it’ll be infrastructure providers who win the high end model game. I don’t think this is a problem I think this is in fact inline with their original charters but a different path than most people view nonprofit work. A much more capitalist and accelerated take.

Where they might make future businesses is in the tooling. My understanding from friends within these companies is their tooling is remarkably advanced vs generally available tech. But base models aren’t the future of revenues (to be clear tho they make considerable revenue today but at some point their efficiency will cannibalize demand and the residual business will be tools)
I was about to say how this thing is lame because it sounds so forced and robotic and fake, and even though the intonations do make it sound more human-like, it's very clear that they made a big effort to make it sound like natural speech, but failed.

...but then I realized that's basically the kind of thing Data from Star Trek struggles with as part of his character. We're almost in that future, and I'm already falling into the role of the ignorant human that doesn't respect androids.
I think people excited should look at the empty half of the glass here, this is pretty much an admitance that they are struggling to go past gpt 4 on a significant scale.

Not like they have to be scared yet, I mean Google has yet to release their vaporware Ultra model that is supposedly like 1% better than GPT 4 in some metrics...

I smell an AI crash coming in a few years if they can't actually get this stuff usable for day to day life.
If a model is average human intelligence in pretty much everything, is that super-human or not? Simply put, we as individuals aren't average at everything, we have what we're good at and a great many things we're not. We average out by looking at broad population trends. That's why most of us in the modern age spend a lot of time on specialization for whatever we work in. Which brings the likely next place for data. A Manna (the story) like data collection program where companies hoover up everything they can on their above average employees till we're to the point most models are well above the human average in most categories.
Agree. While watching the demo video, I thought I was the one having connectivity issues.
>It's more like you are in 1999, people are spending $100B in fiber, while a lot of computer scientists are working in compression, multiplexing, etc.

But nobody knows what's around the corner and what future brings....for example back in day Excite didn't want to buy Google for $1m because they thought that's a lot of money. You need to spend money to make money and yea, you need to spend sometimes a lot of money on "crazy" projects because it can pay off big time.
Selling my first tiny indie hacking project
It's kind of tautological that Gemini Nano is as capable as Gemini and it runs locally.

https://store.google.com/intl/en/ideas/articles/pixel-featur...
Here's the official CM4 => CM5 technical guidance:
https://pip.raspberrypi.com/categories/945-forward-guidance
Well, I for one am excited about this update, and skeptical about the AI scaling, and agree with everything said in the top comment.

I saw the update, was a little like “meh,” and was relieved to see that some people had the same reaction as me.

OP raised some pretty good points without directly criticizing the update. It’s a good balance the the top comments (calling this *absolutely magic and stunning*) and all of Twitter

I wish more feedback on HN was like OPs
GP's follow up is literally

>they aren’t focused on appealing to those biases, but driven by them, in the that the perception of language modeling...

So yes in effect that is their point, except they find the scientists are actually compelled by what markets well, rather than intentionally going after what markets well... which is frankly even less flattering. Like researchers who enabled this just didn't know better than to be seduced by some underlying human bias into a local maxima.
Is the glass half full or half empty? Completely full but half air? Twice as much volume as needed? Is the correct half of the glass full? Is the glass even actually made of glass?

So many questions!
What part of that is 'conspiracy'. Replace the swiss banks with derivatives or whatever 'investment tool' or concocted wealth that is sucking the planet dry if that example is not to your liking. The point still stands.
I'd prefer to buy this once, not as a subscription. A subscription for something I'm going to complete in a month and then have to remember to unsubscribe from feels scummy.

It feels a little incomplete.

There are two or three competing use cases that are currently commingled - choosing between models, choosing between offers, or choosing whether a particular unit you've gone to see is up-to-snuff.

There's a certain set of data I need when want to decide whether I want a Highlander, a RAV4, a Prius, or a Crosstrek. All of this data is available to you as the app developer, but currently manually entered. I'm considering these options from my desk, and would prefer to do it on a web page, not on a phone.

There's a completely different set of parameters when weighing the 2020 RAV4 with 60k miles at Joe's Auto in Hudsonville versus the 2018 Crosstrek with 80k sold by private party in Grandville. For this decision, I'd love if you could scrape a posting that I copied the URL for from Craigslist, Facebook Marketplace, Auto trader, Carvana, or a dealer listing! For this decision, I particularly like a bubble chart: Price on the Y axis, mileage on the X axis, bubble diameter by year, and colors for different models or different vehicle types. You want the biggest one in the bottom left, and these can be all over, especially with older private party sales. And there's more opportunity for you to offer value with your much greater data set, comparing these bubbles to Edmunds/KBB/recent sales values.

This is also trying to be a third thing, an app I bring along with me when I've found a particular unit that I want to test drive.

There's definitely an opportunity to follow along and help at each of these three steps in the process, but it doesn't feel like a single workflow will work best for all three.
Go Gators!
This is how it usually goes--it's vanishingly rare to retain a photographic memory into adulthood, but it's not that rare in kids. I had it too, but then I started sprouting hair in places that never ever got cold and the rest is history (that I can barely remember).
The same is true in science too; which is why being an experimentalist requires lots of skill & judgement to tease apart the signal we want to understand.

Scientific rigor is inseparable from good judgement.
Just the ability to distinguish bills would be hugely helpful, although I suppose that's much less of a problem these days with credit cards and digital payment options.
Interestingly, JavaScript has the opposite problem: {...null} is fine (returns {}), but [...null] is not (TypeError: Spread syntax requires ...iterable not be null or undefined).
> For buckets configured with website hosting, applicable request and other charges will still apply when S3 returns a custom error document or for custom redirects.

I was wondering about that one.
So far, I'm impressed. It seems to be significantly better than GPT-4 at accessing current online documentation and forming answers that use it effectively. I've been asking it to do so, and it has.
It looks like the CM5 still has one PCIe lane.
https://pip.raspberrypi.com/categories/945-forward-guidance
In what way paper, metal, or glass bottles are better than plastic?
I'd believe it. Bill always struck me as being pretty anti-social and even sociopathic. Not that I know him or anything close to that.
Very interesting and extremely impressive!

I tried using the voice chat in their app previously and was disappointed. The big UX problem was that it didn't try to understand when I had finished speaking. English is a second language and I paused a bit too long thinking of a word and it just started responding to my obviously half spoken sentence. Trying again it just became stressful as I had to rush my words out to avoid an annoying response to an unfinished thought.

I didn't try interrupting it but judging by the comments here it was not possible.

It was very surprising to me to be so overtly exposed to the nuances of real conversation. Just this one thing of not understanding when it's your turn to talk made the interaction very unpleasant, more than I would have expected.

On that note, I noticed that the AI in the demo seems to be very rambly. It almost always just kept talking and many statements were reiterations of previous ones. It reminded me of a type of youtuber that uses a lot of filler phrases like "let's go ahead and ...", just to be more verbose and lessen silences.

Most of the statements by the guy doing the demo were interrupting the AI.

It's still extremely impressive but I found this interesting enough to share. It will be exciting to see how hard it is to reproduce these abilities in the open, and to solve this issue.
A Card Counting Trick
Moneys.
I had just setup "Stirling PDF" on my home NAS a few of weeks ago, since my SO needed to merge some documents and I'd recently read that (or a similar) HN thread.

I definitely would recommend it. It was really quick to setup; though my already having a reverse proxy with wild card TLS certs setup probably helped streamline the networking side of things.

https://github.com/Stirling-Tools/Stirling-PDF
GameStop surges after meme stock investor 'Roaring Kitty' resurfaces online
If someone asks, i'm 16/f/cali!
Why do you think they’re using Google auto-captioning?

I would expect they’re using their own t2s which is still a model but way better quality and potentially customizable to better suit their needs
What about pirate activity?

https://www.forbes.com/sites/erikaandersen/2012/03/23/true-f...
I think changing the behaviour of nil in general for an existing language with tons of code already in the world would be beyond insane, on the verge of willfully destructive. Fortunately, that’s not what as happening here. This only applies in the case of using nil as a splat, which is narrow enough that I think it’s probably safe and it’s a sensible default behaviour.
Not all of it =D
That old feature uses Whisper to transcribe your voice to text, and then feeds the text into the GPT which generates a text response, and then some other model synthesizes audio from that text.

This new feature feeds your voice directly into the GPT and audio out of it. It’s amazing because now ChatGPT can truly communicate with you via audio instead of talking through transcripts.

New models should be able to understand and use tone, volume, and subtle cues when communicating.

I suppose to an end user it is just “version 2” but progress will become more apparent as the natural conversation abilities evolve.
Object-Relational Mappers purport to mitigate the impedance mismatch between object-oriented and relational data structures.

For your analogy to hold, what is the impedance mismatch between programming and Copilot?
> a future where people can adapt to this and get through it

there are people alive today who quite literally are descendants of humans born in WW2 concentration camps. some percentage of those people are probably quite happy and glad they have been given a chance at life. of course, if their ancestors had chosen not to procreate they wouldn't be disappointed, they'd just simply never have come into existence.

but it's absolutely the case that there's almost always a _chance_ at survival and future prosperity, even if things feel unimaginably bleak.
Demo of Gazelle, the first public LLM with direct audio input
Yeah, maybe not, and what do you make of it? Now that the secret sauce has been revealed and it's nothing but the right proportions of the same old ingredients?
I agree. The interesting lesson I take from the seemingly strong capabilities of LLMs is not how smart they are but how dumb we are. I don't think LLMs are anywhere near as smart as humans yet, but it feels each new advance is bringing the finish line closer rather than the other way round.
Show HN: Pi-C.A.R.D, a Raspberry Pi Voice Assistant
Pi-card is an AI powered voice assistant running locally on a Raspberry Pi. It is capable of doing anything a standard LLM (like ChatGPT) can do in a conversational setting. In addition, if there is a camera equipped, you can also ask Pi-card to take a photo, describe what it sees, and then ask questions about that.

It uses distributed models so latency is something I'm working on, but I am curious on where this could go, if anywhere.

Very much a WIP. Feedback welcome :-)
For some activities, Siri is just fine. Thinks like “send a text to x” and “remind me to do x when I get home”.

And it does fine with no internet access.

Except dictation. Much better with internet access than without.
This link is to the ICJ case 186: Legal Consequences arising from the Policies and Practices of Israel in the Occupied Palestinian Territory, including East Jerusalem

It was submitted to the court after the UN General Assembly resolution A/RES/77/247 was approved by a majority vote of 98 approved vs. 17 against and 52 absent. Here is a summary: https://en.wikipedia.org/wiki/Legal_consequences_arising_fro...

This link contains all written and spoken testimonies, as well as related documents and news from the UN. In it you will find several examples of international humanitarian law broken by Israel without consequences. You will find several UN resolutions ignored by Israel without consequences. This case seeks to establish which consequences Israel should face from decades of this behavior. The ICJ accepted this case, and proclaims jurisdiction.

During the oral testimonies you will find statements and conclusions such as this from South Africa:

> The available evidence indicates that Israel is responsible for inhuman acts which fall within the ambit of Article 2(a), (c), (d) and (f) of the Apartheid
Convention. [1] (Paragraph 115)

Here is another example from the same oral testimony:

> The establishment of Israeli settlements in the Israeli-occupied territories is considered as illegal by the international community as they are in violation of Article 49 of the Fourth Geneva Convention. Paragraph 6 of Article 49 of the
Fourth Geneva Convention provides that “the Occupying Power shall not
deport or transfer parts of its own civilian population into the territory it
occupies”. t therefore follows that any legislation authorising settlements or the extension of settlements “adopted by Israel to facilitate or set up settlements would be in violation of Article 43

I gave you this link because it is full of legal experts from all over the world citing humanitarian law and explaining how Israel is breaking them. This case would have been ongoing today even without Oct 7 and without the Gaza genocide. This case and the number of written and oral testimonies, and the content of these testimonies, is proof that the world is fed up with Israel’s behavior towards the Palestinians.

1: https://www.icj-cij.org/sites/default/files/case-related/186...
That's how everyone in robotics is doing these days.

You take a bunch of mo-cap data and simulate it with your robot body. Then as much testing as you can with the robot and feed the behavior back in to the model for fine tuning.

Unitree gives an example of the simulation versus what the robot can do in their latest video

https://www.youtube.com/watch?v=GzX1qOIO1bE
Poor Mandela.
it seems like the ability to interrupt is more like the interrupt in the computer sense ... A control-c (or control-s tty flow control for you old timers), not a cognitive evaluation followed by the "reasoned" decision to pause voice output. not that it matters i guess, its just not general intelligence. its just flow control.

but also, thats why it fails a real turing test. a real person would be irritated as fuck by the interruptions
https://news.ycombinator.com/item?id=40231515
Would that be this one? https://ciechanow.ski/mechanical-watch/

I’d love to know that those pages are offline-archivable!
In fairness, the issue was attended to within weeks after it recently got attention.
https://github.com/tincans-ai/gazelle

Note that I am not associated with this project, just thought it was worth sharing.
In my view, this was in response to the machine being colourblind haha
How about with a K instead https://getkap.co/
It’s reasonable criticism, and more useful than all the hype.
Yes, just like the algorithm that decides whether any given algorithm terminates could be "one algorithm" (if it was possible) :-)