skysight-inc/HackerNews huggingface dataset:
This was on purpose - they connected it to the internet via a USB-C cable it appears, for consistent internet instead of having it switch WiFi

Probably some kinks there they are working out
We re just logarithmic creatures
This is a great article, it made me realize it's better to say (write) nothing. Personal opinion doesn't matter, it only silos you.
Personal feedback doesn't matter, you hurt someone.
No one really is interested in how you are, it's just generic speech.

It is the reason why I don't partcipiate in many conversations anymore. It's just easier to not reply, or worse, if I have to, reply with what the person wants to hear.

Glad to know it isn't just me. Sad to know that it's easier to go along then really be a maverick and be different.
Today it's Boeing, tomorrow it could be your local firefighters, grocery store employees, baristas, or even the technicians for the company you work for either locked out or striking, so I think it's important for all working professionals to understand the lengths that corporations go to break the back of unions and to blame all of their problems on them.
> Given the lack of taxes, Americans have effectively subsidized this charity.

This is a common but bad take.

Firstly, there are a lot of taxes still involved. The Gates foundation still pays salary tax and sales tax and property tax and etc.

More importantly, had the funding remained parked in a savings account or stock portfolio without being realized, it would have been completely dead to the economy and untaxed. So there's probably a net positive to taxpayers to give people ways to unload their assets.

> we haven’t gotten anything particularly valuable out of the gates foundation

There could be an argument that the 501(c) tax code is too generous, but I don't think people are probably thinking through the implications of "qualifying" non-profits. If you made every non-profit prove that they were creating value, and also make them subject to taxation on all contributions, you would be effectively wiping out things like open-source software projects or Wikipedia, let alone your normal NGOs and community charities.
Can you read your own Discord stats, or do you have to be an advertiser to get this info?
I transferred 6 domains to porkbun and it was about 2 days to get the code and 5 days to transfer. Mostly painless, but DNS records were not copied over. I tried to see if I could manually copy them over in advance, but I got an error with porkbun. I probably didn't know how to do it correctly, but I needed up with a couple minutes of downtime. I don't remember having to do anything when I went from namecheap to google, but that was a while ago.
I am just talking about scaling laws and the level of capex that big tech companies are doing. One hundred billion dollars are being invested this year to pursue AI scaling laws.

You can be excited, as I am, while also being bearish, as I am.
A Sandboxed Rainbow Function
This was added in iOS 17.
> You might not be fooled by a conversation with an agent like the one in the promo video, but you'd probably agree that somewhere around 80% of people could be.

I think people will quickly learn with enough exposure, and then that percentage will go down.
They mention at the beginning of the video that they are using hardwired internet for reliability reasons.
Interested in how many LLM startups there are that are going out of business due to this voice assistant.
Agreed - it's a waste. GPT is not too bad at reading text from image and with the added bonus that you can reason with it.
Siri came out in October 2011. Amazon Alexa made its debut in November 2014. Google Assistant's voice-activated speakers were released in May 2016.

From what I can tell, Siri is still a dumpster fire that nobody is willing to use. And I have no personal experience with Alexa, so I can't speak to it. But I do have a few Google Home speakers and an Android phone, and I have seen no major improvements in years. In fact, it has gotten worse - for example, you can no longer add items directly to AnyList[0], only Google Keep.

Or, as an incredibly simple example of something I thought we'd get a long time ago, it's still unable to interpret two-part requests, e.g. "please repeat that but louder," or "please turn off the kitchen and dining room lights."

I find voice assistants very useful - especially when driving, lying in bed, cooking, or when I'm otherwise preoccupied. Yet they have stagnated almost since their debut. I can only imagine nobody has found a viable way to monetize them.

What will it take to get a better voice assistant for consumers? Willow[1] doesn't seem to have taken off.

[0] https://help.anylist.com/articles/google-assistant-overview/

[1] https://heywillow.io/

edit: I realize I hijacked your thread to dump something that's been on my mind lately. Pipecat looks really cool, and I hope it takes off! I hope to get some time to experiment this weekend.
The guy is a shill to anyone that throws money his way. I need independent third party verification of anything he claims.
Honestly the clue here wasn't so much the quality as the fact that it was posted at all.

No human would ever bother posting a ~180 word summary of a ~250 word blog post like that.
Are you saying you assume plastic bottled water and convenience items are not popular in the poorest places in the world?

That’s most definitely not the reality. South east asian cities are littered with takeout containers and bottles.
What do you think is standing in the way of solving the problem of food insecurity?
Most of the evil done in the world comes from people with the best of intentions. The trouble comes from thinking that their ideas are so right they are entitled to force them on everyone else.
you can get this data from a compliance export
Internet Archive says this is at least from 2008: https://web.archive.org/web/20080915042719/https://gopher.fl...

The arguments feel quite weak. Gopher doesn’t bring much to the table IMO, the simplicity is overshadowed by lack of content and interactivity (same problem applies to Gemini).
Previous discussion: https://news.ycombinator.com/item?id=39772562 (417 points | 53 days ago | 604 comments)
The 'huge government grants' thing is doing a lot of (excuse the pun) heavy lifting, as are launch facilities and ex-gov talent.

The government is a customer on Crew Dragon, it's a government 'grant' if you consider it a grant when the government pays money to a company for stationary specifically designed for the government (say, with the respective agency's logo on it). Similarly, the launch facilities are being leased and heavily customized by private companies for their requirements. You can't just prop up a launch complex anywhere, and the best spots are where the government owned ones have been built already.

Ex-gov talent is similarly complicated because there is obviously a lot of exchange between NASA and industry, especially since the space industry is growing rapidly and has high barriers to entry constraining talent availability. For example, a lot of smaller new space companies are founded by people who have previously worked at SpaceX, but it'd be weird to say that those companies are not independent of SpaceX just because that's where their founders previously gained their industry credentials from.

The important point in terms of independence is that during Apollo, NASA dictated the design in detail to companies, the company's job was to build what NASA told them to, then NASA would take ownership of it all and be responsible for running the show. The companies couldn't choose to do whatever they wanted with the designs. Now, with independent private space exploration, NASA just presents its requirements (safety, destination, crew, payload, availability etc). Companies present their proposals, NASA decides which ones fit its requirements best and promises them fixed payments for achieving specific milestones. The risk of cost overruns, failures etc is entirely on the company. The design is developed primarily by the company, and it belongs to them, NASA is essentially just along for the ride like any passenger.
No you can't, at least not directly - you can influence the tone it uses a little through the content you ask it to read.

Being able to specifically request different tones is a new and very interesting feature.
> But more seriously, there’s such a thing as constructive criticism, and there’s such a thing as fatalism.

I've come across this response a lot. It pops up when someone repeatedly won't take the hint and stop talking about the entirely visible decay.

> And there are people who burn their own reputation by complaining more than is useful.

Some types of reputation are like fields of weeds that choke out new, healthy growth. Burning them makes for better soil.
The standard library is open source, you can find it here: https://github.com/modularml/mojo/tree/nightly/stdlib

We'll be opening up more over time - stay tuned!
Yep. Non-English text gets a much bigger cost drop and speedup compared to English. Has always been a bummer that GPT-4 is like 5x slower and more expensive in Japanese, etc.
They trained on text and audio and images. The model accepts tokens of all three types. And it can directly output audio as well as text.
High housing costs may be California's biggest problem
There's a button on this page that says "try on ChatGPT ->" but that's still version 3.5 and if I upgraded seems to be version 4.

Is this new version not available to users yet?
Talking about one's own privilege is a form of self-defeating nonsense that serves no purpose. It only harms your future potential. There's no reason morally to frown on having more potential from your starting point versus someone else.

At best it's a form of "humble brag" that just makes you look silly.
Yes, i'm pretty sure this is the new Siri. Absolutely amazing, it's pretty much "here" from the movie.
There are currently many different extremist groups out there. So I don’t know why you went with that.
You would want to make sure that it is always going over WiFi for the demo and doesn't start using the cellular network for a random reason.
Mojo feels like a language that's trying to be everything for everyone.
They say it's twice as fast/cheap, which might matter for your use case.
The problem with "better intelligence" is that OpenAI is running out of human training data to pillage. Training AI on the output of AI smooths over the data distribution, so all the AIs wind up producing same-y output. So OpenAI stopped scraping text back in 2021 or so - because that's when the open web turned into an ocean of AI piss. I've heard rumors that they've started harvesting closed captions out of YouTube videos to try and make up the shortfall of data, but that seems like a way to stave off the inevitable[0].

Multimodal is another way to stave off the inevitable, because these AI companies already are training multiple models on different piles of information. If you have to train a text model and an image model, why split your training data in half when you could train a combined model on a combined dataset?

[0] For starters, most YouTube videos aren't manually captioned, so you're feeding GPT the output of Google's autocaptioning model, so it's going to start learning artifacts of what that model can't process.
The chuckling made me uneasy for some reason lol. Calm down, you're not like us. Don't pretend!
RE :...these people earned their money in America...." These people also earned money from worldwide sales.
That’s just one part of the issue. The other part of the issue is accessibility bugs, you would have to get the model to learn to use a screen reader, and then change things as needed
I think the world is being segmented into those who are exposed to targeted advertising and those who never or almost never see any advertising because we use uBlock Origin.
Most of the Pipecat examples we've been working on are focused on speech-to-speech. The examples guide you through how to do that (or you can give the hosted storytelling example a try: https://storytelling-chatbot.fly.dev/)

We should probably update the example in the README to better represent that, thank you!
Yeah, in playground https://platform.openai.com/playground/chat?models=gpt-4o

It's GPT 4+ quality at GPT 3.5 speed
It absolutely launched with this feature.
Finally some really cool news.

Especially since this is a dogfight and not an air-to-air missile exchange.
I think a similar thing happened with PHP. There was no JIT, then a JIT was merged into the mainline codebase, and now we all have JIT. Yay! Alternative implementations like HipHop VM from Facebook really never took off except for the rare engineering org that wanted to experiment with it.
That's only really true on the surface. So far the template is: amazing demos create hype -> once public it turns out to be underwhelming.

Sora is not yet released and not clear when it will be. Dall-e is worse than mid-journey in most cases. GPT-4 has either gotten worse or stayed the same. GPT-4 vision is not really usable for anything practical. Voice is cool but not that useful, especially with lack of strong reasoning from the base model.
That's the opposite of what I am saying.

What I am saying is that computers are SO GOOD that AI is getting VERY CHEAP and the amount of computing capex being done is excessive.

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.
The McNamara fallacy infects business types at least as much as engineering types in my experience.
I was thinking before 386 machines. I probably have a poor calibration of what was contemporary to Amiga machines.
I am really enjoying the language, the level of improvement over the last few months has been amazing. At work all our heterogeneous compute needs are implemented using C++/CUDA. I've been exploring new languages for the type of work we do on and off over the last few years: Julia, Rust, D, Chapel, and Mojo.
It seems the only new languages serious about native heterogeneous compute are: Julia, Chapel, and Mojo.

Of those languages I can say Mojo and Chapel were the most impressive. But Mojo is just so fun to write, I've ported a bunch of my "hobby numerical code" to Mojo. I am practically all in on Mojo since it'll give me access to MLIR.

I have always wondered though, why does Chapel get no love online???
Actively engage in politics and realize the problem will take decades to incrementally solve, while taking tactical action in your life to protect yourself from current state. What the latter looks like is a broad conversation depending on what your potential trajectories are, what you're optimizing for, and what you're defending against.

Put the metaphorical oxygen mask on yourself first before you try to help others, and then, if you so choose and are able, defend and empower others as your sphere of influence (a function of time and resources itself) grows. Defend and empower the human, broadly speaking.
You don't happen to have access to Aztec C for the classic 68k? I (and others) have been trying to track down a copy for some time. There appears to be one on Macintosh garden, but that is for ms-dos.
You don't seem to be following the site rule of "charitable interpretation" here. This reads more like "legalistic nitpicky interpretation" - that is, like bad faith.

(Yes, good faith/charitable interpretation can lead to misunderstandings when some things are left unsaid. No, I don't think maximum nitpickiness is the answer to that.)
True - but that cost just halved with today's introduction of "GPT-4o". The other cost is time.
IMHO - I think there is more to worry about than email scraping..
That's my issue. People won't use GPT - companies using it will displace people and people will be out of the grid without work...
Plastic bottles of water are one of the most important supplies you can provide during and after a major disaster. There are so many situations that disrupt access to clean, safe, potable drinking water and pallets of bottled water are the simplest and fastest way to help people in need.
allegedly google assistant can do the "humming" one but i have never gotten it to work. I wish it would because sometimes i have a song stuck in my head that i know is sampled from another song.
This will be great for employee surveillance, to monitor how much you are really working.
The fact that your online behaviour outs you as gay to an algorithm might be something that you want to keep private though.
And eliminate the change of some prankster affecting the demo by attacking the wifi.
Full NHSTA document here [1].

[1] https://static.nhtsa.gov/odi/inv/2024/INOA-PE24015-12348.pdf
I would say a machine that thinks it feels emotions is less likely to throw you out of a spaceship. Human empathy already feels lacking compared to what something as basic as llama-3 can do.
Well, mo-cap doesn't imply that it limits motion (although it does a bit)
The naming of these systems has me dead
Main discussion is at https://news.ycombinator.com/item?id=40339998
Thanks. I might send a support email request to mullvad and see if they're affected.
In effort to avoid biases, you might create another type of bias - trusting all complainers unconditionally.
Perfect example. Bottled water might be a luxury good for you, but in most places in the world you have polluted tap water you can die from or bottled water.

So if you were in charge of this, you might have just killed a few million people from cholera.

https://www.who.int/news-room/fact-sheets/detail/cholera

I can't stress this enough, but there are so many unintended consequences.
Show HN is for things you made. Did you write "Perplexity Pro" or did you write the blog post?
I often feel today's business landscape is made up of generation of MBAs raised on web start-ups.

The thinking so different than the candy store margin mentality of 3 generations ago.
> voice sounds like an over enthusiastic podcast interviewer

I believe it can be toned down using system prompts, which they'll expose in future iterations
As a positive example, Mastodon seems to work fine.
Your project is amazing and I'm not trying to take away from what you have accomplished.

But..I looked at the code but didn't see any audio-to-audio service or model. Can you link to an example of that?

I don't mean speech to text to LLM to text to speech. I mean speech-to-speech directly, as in the ML model takes audio as input and outputs audio. As they have now in OpenAI.

I am very familiar with the typical multi-model workflow and have implemented it several times.
I am a paid customer, yet I don't see anything new. I'm tired of these fake announcements of "released" features.
> This stuff feels magical. Magical.

Because its capacities are focused on exactly the right place to feel magical. Which isn’t to say that there isn’t real utility, but language (written, and even moreso spoken) has an enormous emotional resonance for humans, so this is laser-targeted in an area where every advance is going to “feel magical” whether or not it moves the needle much on practical utility; it’s not unlike the effect of TV news making you feel informed, even though time spent watching it negatively correlates with understanding of current events.
An audio-to-audio model is definitely a step forward. And I do think that's where things are going to go, generally speaking.

For context relating to real-time voice AI: once you're down below ~800ms things are fast enough to feel naturally responsive for most people and use cases.

The GPT-4o announcement page says they average ~320ms time to first token from an audio prompt. Which is definitely next level and is really, really exciting. You can't get to 800ms with any pipeline that includes GPT-4 Turbo today, so this is a big deal.

It's possible to do ~500ms time to first token by pipelining today's fastest transcription, inference, and tts models. (For example, Deepgram transcription, Groq Llama-3, Deepgram Aura voices.)
And here I was, attributing it to intermittently tangent universes: at points where they touch, random things can cross over.
yeah, after explaining the whole psychology and telling story of her mom's schizophrenia, then BAM she hits you with a huge dose of, as you said, fatalism.

there's a very odd similarity between her mothers' delusion about cat 4 hurricanes and her own example of people being "blown out of their apartments by typhoon-strength winds". having disasters like that thrown in your face constantly by every conceivable media source probably doesn't help.

fwiw, other essays: "Panic. It's Good For You.", "They Want Us All To Die", etc.
2^56 prefixes seems like plenty. Every person on earth could have millions of them! Also, only 2000::/3 is actually allocated to global unicast, not the entire IPv6 space. If what we're doing today is "wrong" we have several more chances to fix it.
I've been curious what a version of this based on general relativity would be like and whether that would be interesting.
In the best case it helps them identify under-18s to keep them away from adult content/creepers.
If "you have to trick people into doing the right thing"; you might have to take the news with a grain of salt: other may be doing the same to you. Perhaps the doom isn't so imminent?
I would still prefer the features in text form, in the chat GUI. Right now chatGPT doesnt seem to have options to lengthen parts of the text response, to change it etc. Perplexity and gemini do seem to get the gui right. Voice chat is fun for demos but won't catch much, just like all the predecessors. Perhaps an advanced version of this could be used as a student tutor however
So far OpenAI's template is: amazing demos create hype -> reality turns out to be underwhelming.

Sora is not yet released and not clear when it will be. Dall-e is worse than mid-journey in most cases. GPT-4 has either gotten worse or stayed the same. Vision is not really usable for anything practical. Voice is cool but not that useful, especially with lack of strong reasoning from the base model.

Is this sandbagging or is the progress slower than what they're broadcasting?
Really like cloudflare.
Which of those investments are you saying would have been a poor choice in 1999?
I think the "big deal" about it comes from the fact that users did not give that information willingly to Discord. If I did not provide you that information, why would I expect you to know it? And in a state that California (where Discord is based), I have the right to know how my data is used/shared, and request it be deleted. But I can't request information to be deleted if I don't know you have it. I can't know how you're using/sharing my data if I don't know you have it.
The market was expecting ChatGPT search to take a chunk out of Google's search revenue.
Didn't even think about this and you're absolutely right.

And where do the worst disasters happen? The countries where the infrastructure is not good enough.
Neither of the psychological tendencies noted by the author are “bugs” or failings of the human psyche. They are adaptations to primarily social environments. They are useful heuristics that are right more often than wrong. Neither of them is an explanation for the author’s perceived vilification of his worldview. Tendencies like these don’t rule absolutely over human thought, they influence it but any amount of examination or second thought is enough to balance their contribution. If we want to psychologize then I would add that the author seems to be in the throes of a persecution complex typical of certain stages of life. Generally this will resolve with more experience and interaction with a broader range of ideas and people. It stems from an erroneous belief in both the certitude of one’s own conclusions and the impossibility of anyone coming to a contrary opinion based on sound reasoning.