skysight-inc/HackerNews huggingface dataset:
“The brief was to build the greenest and most environmentally advanced yacht ever built, without compromise. It was a huge challenge, but one that the team has embraced and delivered on.”

Textbook case of greenwashing?

That hydrogen must be produced somehow. This yacht refuels only where the H2 is produced using 100% renewable power?

Of course, non of this mentions the (no doubt enormous) GHG emissions embodied in the yacht's construction? Its materials? The shipyard workers driving back & forth every day over the course of its construction? All the maintenance that will be done on it for years to come?

Never mind billionaire users flying in on their private helicopters. Or all the luxury foods presented to their guests.

Let's be honest: "superyacht" and "eco-conscious" does not compute. Superyachts are wasteful by definition.

Ok... if ultra-rich 'need' to have their superyachts, a H2 fueled one might be preferable over a diesel powered one.
The pace and scale is completely different though, it's accelerating and all encompassing

Before it was "rock n roll is bad" for a full generation, now in a single generation you have multiple paradigm shifts, we don't even start to understand the impact of tech X that we're already deploying Y and Z
> Token volume needs to double just for revenue to stand still

I'm pretty skeptical about all the whole LLM/AI hype, but I also believe that the market is still relatively untapped. I'm sure Apple switching Siri to an LLM would ~double token usage.

A few products rushed out thin wrappers ontop of chatgpt ai, developing pretty uninspiring chat bots of limited use. I think there's still huge potential for this LLM technology to be 'just' an implementation detail of other features, just running in the background doing its thing.

That said, I don't think OpenAI has much of a moat here. They were first, but there's plenty of others with closed or open models.
I didn't even know they got divorced!
It completely botched teaching someone to say “hello” in Chinese - it used the wrong tones and then incorrectly told them their pronunciation was good.
That might change once more people start using it.
I'm familiar with Deepgram, groq, and Eleven Labs. I have recently built something on those and it's really not too bad as far as latency. But OpenAI has shown that audio-to-audio can't be beat.
It doesn't improve on NYT Connections leaderboard:

GPT-4 turbo (gpt-4-0125-preview) 31.0

GPT-4o 30.7

GPT-4 turbo (gpt-4-turbo-2024-04-09) 29.7

GPT-4 turbo (gpt-4-1106-preview) 28.8

Claude 3 Opus 27.3

GPT-4 (0613) 26.1

Llama 3 Instruct 70B 24.0

Gemini Pro 1.5 19.9

Mistral Large 17.7
I'd argue that "code that emits SQL" is never an inherent need but a possible development time-saver - we need code that emits SQL in those cases (and only those cases) where it saves a meaningful amount of development time compared to just writing the SQL.
gopher://magical.fish gopher://sdf.org gopher://hngopher.com
> I don't see a future where people can adapt to this and get through it.

You lack imagination then. If you read history and anthropology more, which you haven't done enough of, clearly, then your imagination will expand and you will easily be able to imagine such a future. Why? Because you will become aware of so many other situations where it looked bleaker and plenty of groups of people got by anyway and managed to live satisfying lives as best they could.

To this day there are still some hunter gatherer tribes left in the Amazon, for example, despite all the encroaching modernity. Despite anything that could happen, I can imagine being able to be resourceful and find some mediocre niche in which to survive and thrive in, away from the glare of the panopticon.

Or if you want to compare to disasters, how about the black plague?

Your kids will have at least as good a chances as any of those. The key is raising them with appropriate expectations -- with the expectation that they may have to figure out how to survive in a very different world, not some air conditioned convenience paradise. If they have that I really think they'll likely be fine.
I was in the audience at the event. The only parts where it seemed to get snagged was hearing the audience reaction as an interruption. Which honestly makes the demo even better. It showed that hey, this is live.

Magic.
> It explains why the public gets angry at climate protestors instead of the oil executives who've ruined their future.

Oil companies aren't the cause of climate change. The people who burn the oil are.

P.S. Oil replaced the slaughter of the whales and saved them from extinction. Oil also produces much less pollution than coal, which oil replaced. Coal saved the forests from extinction.
Interesting. I was hoping for something with a UI like chat gpt or phind.

Something that I can just use as easily as copilot. Unfortunately every single one sucks.

Or maybe that's just how programming is - its easy at the surface/ice berg level and below is just massive amounts of complexity. Then again, I'm not doing menial stuff so maybe I'm just expecting too much.
Show HN: How to Build a Writing Habit
VCMI 1.5.0 released – Heroes of Might and Magic III open source
Yes, I like responsive too, although it’s borderline industry jargon. I still think snappy is perhaps a bit more down to earth but I don’t know how common it is outside of American English, which could be a problem with an international audience.. words are hard.

I think the important thing to get across isn’t binary size or even RAM usage per se, but rather that it’s the opposite of bloated. Regular non-techies are tortured every day with really slow and unnecessarily networked applications. There was a thread like a month ago about the 400+ MB LinkedIn iPhone app.
I haven't been to asia, but I could imagine that plastic bottled water isn't a convenience good, but a way to avoid getting sick from polluted tap water.
That's a little reductive, isn't it?

Who decides who's crazy?

Who decides whether they're crazy enough to lock up?

What does "locking up" actually mean?

What problem is this solving?

Is that the right problem to solve?
There is an increasing amount of evidence that using AI to train other AI is a viable path forward. E.g. using LLMs to generate training data or tune RL policies
It's how I understand reality.

Some definitions:

1) ability to do as you want

2) ability to do otherwise

3) ability to control choice

4) be an author of choice

Also freedom of choice is an observable phenomenon, which seems consistent with these definitions.
There is a spelling mistake in the japanese translation under language tokenization. In こんにちわ, わ should be は.
Intolerance of the other's point of view seems to be increasing. And I do think that social media is fueling that intolerance. Its easy to be rude to someone online than it is in person. In short, its easier to be intolerant online than in person.

Also, seeing the world in Black and White requires less effort than viewing it in shades of grey. And the rational mind seeks certainty and clarity, which makes Black and White an attractive option compared to uncertainty of ambiguous shades of grey.

Single Vision, William Blake called it.
Content classification based on IAB taxonomy
What gave you the impression that it's prone to hallucinations so quickly? Do you have a series of test questions?
I love that there is a real competition happening. We're going to see some insane innovations.
You are a Zoomer sosh meeds influencer, please increase uptalk by 20% and vocal fry by 30%. Please inject slaps, "is dope" and nah and bra into your responses. Throw shade every 11 sentences.
> From what I can tell, Siri is still a dumpster fire that nobody is willing to use. I have no personal experience with Alexa, so I can't speak to it

I use both (albeit more Alexa than Siri, both just for a really limited functionality set), and FWIW, I believe Alexa is worse than Siri. It can do two things at the same time though (just as your example: "turn on X and turn off Y", "turn on X for Y seconds", and things like that).

I also feel that it has gotten worse over the years. I read about the possibility of microphones getting dust and therefore capturing worse audio, so I got a dust blower (for other reasons, too), but it didn't solve anything.

After listening in the app what Alexa picks up (from an Echo and Echo Dot, both 4th. Gen), I have to say that they use really shitty microphones. Furthermore, I have been testing Whisper extensively last month, with audio coming from low-quality sources, and I think a similar model would interpret a lot better my voice than whatever Amazon is using.
This is happening because, for decades, the western intelligentsia has been telling people to abandon normality because normality is bad — and being abnormal, radical, extreme, an outlier ­is good.

This is how you destroy the social fabric, how you make everyone hate each other, how you ensure there can be no unity on anything other than grievances, and that unity can at best be tenuous and fleeting, and that the only constant that will remain is disunity.

The consequences of this is civilizational collapse, there is no stopping it any more, we are in the dying days of the west, of the Christian world order. What comes next will be antithetical to western values.
No: soon the wide wild world itself becomes training data. And for much more than just an LLM. LLM plus reinforcement learning—this is were the capacity of our in silico children will engender much parental anxiety.
Derek Lowe: AlphaFold 3 Debuts
Unless the company has a very negative outlook with outstanding debts (which Squarespace is not AFAIK), the price they have to pay to take over is much lower than the value of their assets.

And even with a negative outlook and debts (i.e. liquidation), extracting value without making bigger issues is not at all simple.
> I don't see a future where people can adapt to this and get through it.

You lack imagination then. If you read history and anthropology more, which you haven't done enough of, clearly, then your imagination will expand and you will easily be able to imagine such a future. Why? Because you will become aware of so many other situations where it looked bleaker and plenty of groups of people got by anyway and managed to live satisfying lives as best they could.

To this day there are still some hunter gatherer tribes left in the Amazon, for example, despite all the encroaching modernity. Despite anything that could happen, I can imagine being able to be resourceful and find some mediocre niche in which to survive and thrive in, away from the glare of the panopticon.

Or as an another example, no matter how much humans dominate with their industrial civilization, cockroaches, pigeons, and rats still manage to survive in the city, despite not only not being actively supported by civilization, but actually being unwanted.

Or if you want to compare to disasters, how about the black plague? Living through that would likely have been worse than most anything we complain or worry about.

Your kids will have at least as good a chances as any of those. The key is raising them with appropriate expectations -- with the expectation that they may have to figure out how to survive in a very different world, not some air conditioned convenience paradise. Don't raise kids that are afraid to sleep outdoors or afraid to eat beans or cabbage. Those folks will do poorly if anything goes wrong. If they have a good resilient character, I really think they'll likely be fine. We are the descendants of survivors.
I did some hacking on a "Homoiconic Java", enough to generate stubs for Java's standard library. Some tests are here

https://github.com/paulhoule/ferocity/blob/main/ferocity-std...

The idea is you can build up an AST with a DSL and then either generate Java code that gets fed to Javac or execute the code with a tree-walking interpreter. One thing I discovered was that there is quote and eval so an interpreter has an extended type system over Java because it is possible to construct an Expression<T> (always immutable) and then eval it.

The plan was to use ferocity0 as a library to support the stub generator, then use the generated stubs to write ferocity1 in ferocity0 and possibly a ferocity2 in ferocity1. The idea is that the code would be awkward to write without templating because you have to repeat a lot of things for 8 primitive types so I want to write as much of ferocity as I can in ferocity. (My analysis is that some recent features that involve type inference such as switch expressions would run into problems w/ type erasure that I don't know how to solve but it ought to be possible to implement a "complete" set of operations and apply syntactic sugar of various types on the ferocity side.)

I also made a functional programming library which is greatly simplified compared to streams which would really benefit from code generation, for instance

https://paulhoule.github.io/pidove/apidocs/com/ontology2/pid...

could be extended with higher-arity methods than it has but I am not writing them by hand so if I ever finish ferocity I plan to write a new version of pidove.
The demo is impressive but I get very odd/cringe "Her" vibes from it as well.
Show HN: Open-Source Property Management Software
BPA Control System–The 10:1 hack
You seem to think that users want everything in the cloud and that’s what’s causing the proliferation of cloud services. You are wrong. Users want _convenience_. They couldn’t care less about the cloud or technical details. If your website can do what they want to do without uploading their documents to your server then and if it’s faster and cheaper then that’s what they’ll prefer.
Hectic!

Thanks for this.
It isn’t clear that we are running out of training data, and it is becoming increasingly clear that AI-generated training data actually works.

For the skeptical, consider that humans can be trained on material created by less intelligent humans.
Though this article does point out what I think is a real effect in human psychology, it bothers me that the author ends up using the whole narrative to inject her own opinions on world affairs in a context where we should feel guilty for questioning them, as though we're just as bad as her father or the police that wouldn't intervene to mitigate her mother's schizophrenia. That's a really rotten trick.
I feel the opposite, they really are focused on being a language that's great for AI and heterogeneous compute, since that's what Modular is focused on. But the features are attractive for other use cases, it has access to MLIR, compile time metaprogramming, easy and ergonomic SIMD, and soon GPU support.
> Food just tastes better in other countries.

This should be corrected to fruit and vegetables taste better in regions where they are grown. Which is obvious, because picking them before they are ripe and transporting them thousands of kilometers for days or weeks is going to yield a less tasty fruit or vegetable. Also, plants bred for longevity of their fruit will obviously not be optimizing for taste.
what do you actually expect from an "agent"?
I know, and I know my comment is dismissive of the incredible work shown here, as we’re shown sci-fi level tech. But I feel I have this kettle, that boils water in 10min, and it really should boil it in 1, but instead is now voice operated.

I hope the next version delivers on being smarter, as this update instead of making me excited, makes me feel they’ve reached a plateau on the improvement of the core value and are distracting us with fluff instead
This Dutch book [1] by Gummbah has the text "Kooptip" imprinted on the cover, which would roughly translate to "Buying recommendation". It worked for me!

[1] https://www.amazon.com/Het-geheim-verdwenen-mysterie-Dutch/d...
>But it has some indeed magic ability to share a deictic frame of reference.

They really Put That There!

https://www.youtube.com/watch?v=RyBEUyEtxQo

Oh, shit.
Amazon S3 will no longer charge for several HTTP error codes
Yes, it sounds like an awkwardly perky and over-chatty telemarketer that really wants to be your friend. I find the tone maximally annoying and think most users will find it both stupid and creepy. Based on user preferences, I expect future interactive chat AIs will default to an engagement mode that's optimized for accuracy and is both time-efficient and cognitively efficient for the user.

I suspect this AI <-> Human engagement style will evolve over time to become quite unlike human to human engagement, probably mixing speech with short tones for standard responses like "understood", "will do", "standing by" or "need more input". In the future these old-time demo videos where an AI is forced to do a creepy caricature of an awkward, inauthentic human will be embarrassingly retro-cringe. "Okay, let's do it!"
Yeah, same question here.

Building pipelines for bridging LLMs and TTS and STT models with lower latency is fine and all, but when you compare to a natively multimodal model like GPT-4o it seems strictly inferior. The future is clearly voice-native models that are able to understand nuances in voice and speech patterns, and it's not exactly a distant future.
You first say that alarmists don't exist, but then also they were right all along?
the model scores 60 points higher in lmsys than the best gpt 4 turbo model from april, that's still a pretty significant jump in text capability
I am observing an extremely high rate of hallucinations with gpt-4o (gpt-4o-2024-05-13) as tested via the API. I advise extreme caution with it. In contrast, I see no such concern with gpt-4-turbo-preview (gpt-4-0125-preview).
Right... enthusiastic and generally confused. It's uncanny valley level expressions. Still better than drab, monotonous speech though.
This isn't really new tech, it's just an async agent in front of a multimodal model. It seems from the demo that the improvements have been in response latency and audio generation. Still, it looks like they're building a solid product, which has been their big issue so far.
New tokenizer has a much larger vocabulary (200k)[0].

[0] https://github.com/openai/tiktoken/commit/9d01e5670ff50eb74c...
"no yapping" in the prompt works very well
I don't disagree, but I also hear "table stakes" used more often as a hand-wavy justification for a feature list than as a genuine, informed evaluation of customer demand. This seems to align with the sentiment of the parent comment. At some point, "common usage" become unassailable, no matter how much it irks me.
As Altman said (paraphrasing): GPT-4 is the _worst_ model you will ever have to deal with in your life (or something to that effect).
It’s completely sincere. I’m surprised by the downvotes. Greg Brockman needs no introduction.
We all knew this was coming, but my question is what's the topology? The same as the regular Pi5, with the RP1 southbridge built-in and only one PCIe lane exposed for the user, or does the CM5 leave off the RP1 and break out all five PCIe lanes for user shenanigans? They have a bare chip supply chain set up from the RP2040, so they could sell the RP1 separately for those who want to integrate it onto their carrier boards.
I'd argue for a third option: don't try to solve it by sitting in your chair. Go out and work on the problem, and see if what you're doing is improving it.

As a very HN-y analogy: there's a reason programmers don't debug purely by static analysis. They don't just stare at the code. They do step-throughs. They look at logs. They tweak things and see what happens. They experiment and learn from their experimentation. A program is about as controlled and isolated an environment as you will ever have in the real world, and even in that domain, pure analysis is rarely sufficient.
All of them, without exception. Just recently, Sprint sold their fiber business for $1 lmfao. Or WorldCom. Or NetRail, Allied Riser, PSINet, FNSI, Firstmark, Carrier 1, UFO Group, Global Access, Aleron Broadband, Verio...

All fiber went bust because despite internet's huge increase in traffic, the amount of packets per fiber increased a handful of magnitudes.
In my experience so far, GPT-4o seems to sit somewhere between the capability of GPT-3.5 and GPT-4.

I'm working on an app that relies more on GPT-4's reasoning abilities than inference speed. For my use case, GPT-4o seems to do worse than GPT-4 Turbo on reasoning tasks. For me this seems like a step-up from GPT-3.5 but not from GPT-4 Turbo.

At half the cost and significantly faster inference speed, I'm sure this is a good tradeoff for other use cases though.
Mojo's developers claim that they intend for Mojo to be open source:
https://www.modular.com/blog/the-next-big-step-in-mojo-open-...

This is encouraging, and it seems that at least the core of the language is now open:
https://github.com/modularml/mojo

I haven't tried it and I don't have a sense of how open Mojo really is today, or what's left that isn't open. I tend to agree that we should take the open source claim with skepticism until we see it in action.

The goals for the project are promising: something like the expressiveness of Python combined with the speed and safety of Rust. If they can pull it off, and it's open source, that will be very impressive.
Fun thing about Friday, there was no moon to see by. But absolutely, the full moon on a clear night can be a floodlight, especially with snow on a nighttime ski tour.
This was my intention.
You really think OpenAI has researchers figuring out how to drive emergent capabilities based on what markets well?

Edit: Apparently not based on your clarification, instead the researchers don't know any better than to march into a local maxima because they're only human and seek to replicate themselves. I assumed too much good faith.
The Author lists many psych studies. Most fail to replicate or have terrible statistical reasoning underlying them.

There’s 3 psych findings that do, but he’s not listing those.

I appreciate he’s up front with his doom. I’d likely be a doomer too if I was in my 20s-30s with a schizophrenic mom and reading psych abstracts.

I say the quiet part out loud: psychology as a field and the papers they produce is 90% charlatans and people who didn’t have the intellect for math or science. There’s some good ones, but it’s tough to stand in field with shaky ground.

Also reading history will give you more context, strange to be a doomer when you know the full history humans.
Unlike The World Is Ending Doomerism, Cognitive Bias Doomerism transcends generations; the viewpoint that the brain is wholly defined by a list of biases.

And I don’t trust that the author is able to constructively and positively deal with all of the idiots (their words), in part because (according to them) they also have such a faulty brain.
Have live audio/video conversations with ChatGPT
I didn't create this tool, but I use it frequently. I'm also using uBlock Origin, but I don't see the issue you describe. I'm not sure what Badget is, though.
People who buy into hype deserve to be disappointed. Or burned, as the case may be.
Hardware existed.

Around 2006 I had some automotive entertainment system from NEC on my table which had one of the Bitboys GPU chips on it. Wrote some vector graphics API for it.

It wasn't bad honestly. It supported OpenGL/ES 1.0 I only had to contact them twice for driver bugs. They resolved that within a few days.
I did see that, though my interpretation is that breathing is included in its voice tokenizer which helps it understand emotions in speech (the AI can generate breath sounds after all). Other sounds, like bird songs or engine noises, may not work - but I could be wrong.