skysight-inc/HackerNews huggingface dataset:
Speech is a lot more than just the words being conveyed.

Tone, Emphasis, Speed, Accent are all very important parts of how humans communicate verbally.

Before today, voice mode was strictly your audio>text then text>audio. All that information destroyed.

Now the same model takes in audio tokens and spits back out audio tokens directly.

Watch this demo, it's the best example of the kind of thing that would be flat out impossible with the previous setup.

https://www.youtube.com/live/DQacCB9tDaw?si=2LzQwlS8FHfot7Jy
And coal/oil marked (mostly) the end of slavery and other forms of indentured labour.

But Jevons' paradox means that the efficiency of oil leads to its consumption at huge levels. You want the strength of 150 horses just to go to the shop and back? No problem, Average Guy, just pop the key in and off you go.

Now imagine how rich you'd have to be in 1800 to have one hundred and fifty horses at your disposal. The expense and labour involved in keeping them fed and watered, and the labourers themselves fed and watered.

And that's just a small truck. For a passenger airliner, you're looking at eight hundred horses per passenger that's typical of a long-haul jet aircraft.
True, but don't you think AI Copilots can optimize the code in the future? Write the code in Python, then tell Copilot to optimize it with Mojo.
That's a great way to put it. It makes a lot of sense. Exactly what you said there must be an incentive for him to do the work and we need a way to measure it. Thank you very much for the insights! This is super helpful.
I'm not sure how he will see this, but I think it's a good option to put on a table.
Yep not knocking alphafold - Alphafold showed it could be done[1], and others have subsequently followed.

However if all the tech companies hoover up all the profits and simultaneously avoid paying the appropriate level of taxes - then the cycle of innovation isn't sustainable. As well taxes paying for that pre-competitive data, they train the next generation of PhDs.

[1] There were other groups making progress with DL based structure prediction before Alphafold, but alphafold was a leap forward.
This is about as bog standard as it gets for academic language in the humanities. For example:

> But neither reading nor lurking are ever passive acts.

These acts are indeed passive, relative to the active counterpart of writing or speaking. A basic academic move is to reframe a concept in a more abstract, generalized, and artificial context, within which you can argue pretty much anything. The more insane and counterintuitive the argument sounds, the more stylish and impactful it's perceived to be. "Understudied" means that no-one has yet marketed this particular flavour combination of intellectual schlock.

They're not actually talking about your lurking practices.
Why? Just use the API or normal web access version like you have been since ChatGPT became available at all.
> I would say a machine that thinks it feels emotions is less likely to throw you out of a spaceship.

Have you seen the final scene of the movie Ex Machina? Without spoilers, I'll just say that acting like has emotions is much more different than actually having them. This is in fact what socio- and psychopaths are like, with stereotypical results.
I wonder if the reasoning in the article could explain following, for me incomprehensible, events.

- My brother in law shouting about young adults who were protesting for climate action, that their proper place is at school.

- The fact that a delusional former US president got more than zero votes.
Looks like their TTS component is separate from the model. I just tried 4o, and there is a list of voices to select from. If they really only allowed that one voice or burned it into the model, then that would probably have made the model faster, but I think it would have been a blunder.
Probably not things like singly linked list ops, though.
Just tell it to stop giggling if you don't like it. They obviously choose that for the presentation since it shows off the hardest things it can do, it is much easier to act formal, and since it understands when you ask it to speak in a different way there is no problem making it speak more formal.
What's with AI boffins strapping GoPros to toddlers?
Positivity even to the point of toxicity will be the default launch tone for anything... to avoid getting scary.
I would hate such a model, having persistent history is one of the killer feature of Discord vs, say, IRC.
F.E.R.C. Adjusting Regs. To Increase Capacity
Magic is maybe not the best analogy to use because magic itself isn't magical. It is trickery.
HAL has to sound exactly how Kubrick made it sound for the movie to work the way it should.

There wasn't any incentive to make it sound artificially emotional or emphatic beyond a "Sorry, Dave".
The content was correct but the pronunciation was awful. Now, good enough? For sure, but I would not be able to stand something talking like that all the time
How I would regulate AI
> Most fail to replicate or have terrible statistical reasoning underlying them.
There’s 3 psych findings that do, but he’s not listing those.

Do tell. Which three?
As the dead comment states, that link is only for MacOS, whereas goldboot appears to be for windows, linux, and macOS.
At some point, scalability is the best form of exploitation. The exploration piece requires a lot more that engineering.
I may or may not entirely agree with this sentiment (but I definitely don't disagree with all of it!) but I will say this: I don't think you deserve to be downvoted for this. Have a "corrective upvote" on me.
I see that a speaker is in the hardware list - does this speak back?
Really hope they negotiated a 250% salary increase
Russia is surging across the frontlines, and Ukraine seems unable to stop it
Very convincing demo

However, using ChatGPT with transcribing is already offering me similar experience, so what is new exactly
Dogs have a lot to say to humans. Most of it also applies to whales:

"Feed me"

"I'm hurt, help me"

"I found the thing you wanted. How about a reward?"

If you can solve the whale's problems, then it will have things to say to you.
Surely this is sarcasm. You'd prefer a drunk person getting into a Tesla with FSD vs. an attentive and alert person driving (anything else)? I'm sorry but being drunk and getting behind the wheel, that's an automatic fail. I don't care what you're driving. You shouldn't be behind that wheel in a position of responsibility when you are under the influence. I include 'thinking the Tesla will just handle it' as under the influence.
We've done it. Now let's re-engineer our apps to use error codes for 200 responses and get free S3 usage.
PenroseKiteDart
Where I am at, in the Canadian Rockies, the daily temperature this winter was routinely 7-9 degrees Celsius above average (1970-2020) according to my iOS Weather app. They introduced this feature last year and I have been checking it nearly every day. Other than a cold snap in January (that killed my bees!) the weather was warmer every single day.
Weird, in my area in SoCal winters have become cooler. Summers are definitely warmer.
Your order of magnitude claim is off by almost an order of magnitude. It's more like half again as good on a couple of items and the same on the rest. 10X improvement claims is a joke people making claims like that ought to be dismissed as jokes too.
I'd counter by pasting a picture of an emoji here, but HN doesn't allow that, as a means to show the confusion that can be caused by characters versus symbols.

Most LLMs can just pass the string to an tool to count it to bypass it's built in limitations.
I've found Github Copilot to be pretty great for boilerplate code... It's a tossup for anything much more complex.
I've mostly examined cell-based vectors, ie engineered viruses that grow on cells, or a bacterial/fungal vector for the neoepitopes. The major cost savings that I have seen is to shrink the size of the per-person manufacturing facility from a clean room that can hold a technician down to a box roughly the size of a microwave that uses robotics. This can shrink a 7 figure $ cost down to 5- to 6- figures.
As somebody who writes a lot of Postgres extensions, I can say this is quite interesting!

I think I can see some parallels to Supabase's wrappers project.

Keep up the good work!
It's interesting to see that Google takes this so seriously they're backporting it to Android 6. I guess they probably have metrics on what Android versions are still in active use, but I'm a little surprised that Android 6.0 would still be used heavily enough to warrant the backport. Regardless, it's good to see this sort of industry cooperation from companies who would normally be at each other's throats.
from my understanding you need a sample of the tumor to design the vaccine, so it is not OR but AND
Yes, the announcement explicitly states that much of the effort for this release was focused on things that make it feel magical (response times, multiple domains, etc.), not on moving the needle on quantifiable practical performance. For future releases, the clever folks at OpenAI are surely focused on improving performance on challenging tasks that practical utility -- while maintaining the "magical feeling."
I use one on a "CM4 ETHER BOARD" https://dphacks.com/cm4-ether-board-minimalist-compute-modul... which provides Ethernet, USB-C for power and micro USB for flashing an EEPROM. It doesn't have an SD card slot but it has a 2230 NVME slot on the reverse side. I program the SSD on another setup and run Home Assistant on it. Ethernet is really all the I/O needed for a small server like that.

I have another one on a Bicool Mini Base Board (A) which has a lot more I/O, albeit only one HDMI port and no USB3. It's suitable for desktop type applications with the caveat that the CM4 is barely suitable for that stuff.
Nobody has to lose in work/life balance (2020)
It was a fallout of all the Jeffrey Epstein news.
I created a react-email drag-and-drop editor
Some of the failure modes in LLMs have been fixed by augmenting LLMs with external services

The simplest example is “list all of the presidents in reverse chronological order of their ages when inaugurated”.

Both ChatGpt 3.5 and 4 get the order wrong. The difference is that I can instruct ChatGPT 4 to “use Python”

https://chat.openai.com/share/87e4d37c-ec5d-4cda-921c-b6a9c7...

You can do similar things to have it verify information by using internet sources and give you citations.

Just like with the Python example, at least I can look at the script/web citation myself
Actually plastics is the most ecological and economic way to package things. Nothing comes close. Because people throw things away all the time, and producing things out of cotton, wood, glass etc. takes way more energy.

The price of something usually reflects the energy needed to produce it. But it does not take account the externalized cost on the society and environment.

On the other hand, there are areas where other materials like cotton are only a bit more expensive but do not have such a negative effect on the environment. In those areas, like textiles, a ban on synthetic material is probably a good thing.

The problem with the environmental impact of plastics is not the production, it's where it ends up. So the question is how to incentivize keeping a closed system where plastics ends up being burned.

Minimizing the use of plastics requires a complete change of how the economy works. It would require a society of citizens, not consumers who throw away things that are still fine and there are certain areas where plastics can not be replaced by other stuff.

Forcing a cap on plastic production means hurting the emerging markets most but also the wealth in western countries.
Haven’t tried it but from work I’ve done on voice interaction this happens a lot when you have a big audience making noise. The interruption feature will likely have difficulty in noisy environments.
> It’s possible the tracker is attached to an item the user is borrowing, but if not, iPhone can view the tracker’s identifier, have the tracker play a sound to help locate it, and access instructions to disable it.

That means someone can steal your stuff, and then disable the tracker so you can't find it. Most people and myself included were sticking these cheap tags on everything we own, and it was genuinely useful during travel or in scenarios where theft was a consideration.
> library changes quickly cause it to lose accuracy

yup, this is why an LLM only solution will not work. You need to provide extra context crafted from the language or library resources (docs, code, help, chat)

This is the same thing humans do. We go to the project resources to help know what code to write
Are you for real? Legitimately baffled by your comment.

How about the financial losses of customers that could be DDoS-ed into bankruptcy through no fault of their own? Keeping S3 bucket names secret is not always easy.
>This stuff feels magical. Magical.

Sound like the people who defend Astrology because it feels magical how their horoscope fits their personality.

"Don't bother me with facts that destroy my rose-tinted view"

At moment AI is a massive hype and shoved into everything. To point at the faults and weaknesses is a reasonable and responsible thing to do.
Not tracking, but EU and their countries have strong laws to protect children. And the Digital Service Act did raise the bar in all of EU. So figuring out users they are supposed to protect, might be beneficial to prevent high penalties. And DSA was finalized in October 2022, so the date matches.
What is the context there?
> If you suspected you had underage users using your service illicitly. Could you not use such methods to find them?

You could use something like that and it would be counted as “legitimate interest” under GDPR, but:

- you wouldn't need (and then would be forbidden) to do segmentation between more categories than “too young”/“old enough”. This is not what they are doing here.

- you'd still need to tell the users that you're doing it, and provide a way for the users to modify that data upon request

> Under age users aren't going to just tell you their age honestly, so you'd have to use some method to derive their age.

You don't have a legitimate interest of knowing their age, only for knowing if they are underage or not.
I just searched for this and this documentation entry came up:

https://docs.aws.amazon.com/whitepapers/latest/aws-best-prac...

I can't believe that their 'fix' is to set a wildcard dns entry, this feels somewhat like a joke.

Does this mean that a NXDOMAIN response costs more than a successful response?
Neat that you plan to support both Delta Lake and Apache Iceberg

I'm curious about HN's position between these two formats? I'm having a hard time deciphering which might be the industry winner (or perhaps they both have a place, no "winner" necessary)
People with power eventually locked up Mr Hart.

People with power have proven themselves to be less than trustworthy. But NEVER is too strong a word.
Image editing capabilities are... nice. Not there yet.

Whatever I was doing with Chatgpt 4 became faster. Instant win.

My test benchmark questions: still all negative, so reasoning on out-of distribution puzzles is still failing
it's rarely wrong when it comes to concepts - it's the facts and numbers that it hallucinates.
The ability to have an interactive voice conversation has been available for the iOS app for the longest.
Well, most revolutions succeed when the overproduced elites join the masses to overthrow the rulers. So it's probably a good thing in this case if the priests lose their faith, as long as they do it quickly enough. Otherwise we'll all just be NPCs in Altman's and Zuckerberg's metaverses.
In fact he/she implies that they have the talent of spotting upcoming collapses well.
I was exaggerating a bit, but by the late 80's the food situation in the USSR had deteriorated to the stage where you would have a meat (if you were lucky), a cheese or a vegetable available at any given store. We would go to the kolkhoz market for vegetables and my parents had a literal backroom deal with a grocery store manager to get beef, but the shelves were conspicuously barren.

Going from this to a country where any random supermarket would have chicken, several cuts of beef, several cuts of pork, tomatoes, cucumbers, potatoes, onions, several sorts of cheese and was not at risk of running out of any position would have been a shock.
Which matters because training an LLM very likely is not protected by copyright.

While for a copyrighted work the default is that you can’t use it unless you have a valid license, for an LLM the default is that you can use it unless you have signed a contract restricting what you can do in return for some consideration.

I don’t think these contracts are designed to be enforced because an attempt to enforce it would reveal it to be hot air, they are just there to scare people into compliance.

Better to download LLMs from unofficial sources to avoid attempted contract shenanigans.
Stock price up ~88% over the last two years and just valued in an all-cash deal at $6.9B.

Yup, they’re right on the verge of that demise.
I did a couple of projects where I'd pick up a broken Scala system and fix it, it was usually "screw around for a week in Scala and it (1) still has race conditions and doesn't give the same answer every time, (2) has totally busted error handling (they seemed to think saying the word 'monad' meant you didn't have to think about error handling) and (3) used at most 2 CPUs out of 8."

Rewriting it in Java with ExecutorService would solve all those problems in like... 20 minutes.

But yeah, I think a lot of people would think Ferocity combines all the awful things about Java (verbosity) and Common Lisp (the "write once never edit" problem of metaprogramming)
Did you miss the part where they simply asked it to change its manner of speaking and the amount of emotion it used?
Scraping temporary (disposable) phone numbers
The article emulates that result by synthesizing words. The problem with using /user/dict/words is that there aren't enough to get a really good statistical estimate of collisions at more than very small scale.

Also the core primitive is AES which should calm most such worries.
Great to see an open source implementation for this.
See China.
https://twitter.com/Google/status/1790055114272612771
Glass bottles can be re-used as is (like ~20..50 roundtrips or so in consumer <-> supermarket context), before recycling even comes into the picture.
That's accurate. What's worth nothing though is that everything we 'see' with our own eyes is constructed from sampling our environment. The image we construct is what we expected to see given the sample data. This is one reason why eyewitness testimony can be vivid and false without any foul play.
Well, this is a massively horrifying possibility.
But you just proved the point. You might not care to be signed up for some random Trump org, Scientology, or whatever, but other people do care and if you want to author a website that responsibly uses people's emails without subjecting them to unnecessary spam, then it's worth taking these techniques (not necessarily this specific one) into consideration.

While OCR does exist it's incredibly expensive compared to text scraping. The main way to combat spam is to make the cost of spamming more expensive than the benefit.
This problem has already been solved by the MRI machines at your local airport. Cost and performance are not the issues. For $25 your luggage gets an MRI that automatically differentiates between organic molecules in seconds. How easily could this be adapted for free annual screenings at the mall?

But that's not the objective, and so your research is doomed

The medical equipment industry will not suffer fools who don't understand 'regulatory capture' and 'rent seeking.'

Those hospital machines are expensive and rare for reasons that have very little to do with cost or performance
gpt-4 was indeed trained on gpt-3 instruct series (davinci, specifically). gpt-4 was never a newly trained model
I do similar stuff, I'm just willing to learn a lot more at the cost of a small percent of my knowledge being incorrect from hallucinations, just a personal opinion. Sure human produced sources of info is gonna be more accurate (more not 100% still), and I'll default to that for important stuff.

But the difference is I actually want to and do use this interface more.
True, although in this case there's a lot of pushback - if it's not during the summer, can students get both credit and paid? How hard is it to make your lab jobs work-study positions, given they are all one-off positions? And there would definitely be pushback on it being mandatory, because academics, as much as I hate that we do, tend to love free labor.

Devoting energy to those fights, and the political capital consequences of doing so, and success if you were successful, would be an excellent addition to a DEI statement, and would help explain why you were less productive than J. OtherProfessor, who chose to devote their time strictly to research.

The best DEI statements are ones that discuss action.
the only thing you should be celebrating is that its 50% cheaper and twice as quick at generating text but virtually no real ground breaking leaps and bounds to those studying this space carefully.

basically its chat gpt3.9 at 50% of chatgpt4 prices
Ahh I see the problem. The steps to get it resolved were not to tell the team about it.

The steps were to raise a big enough fuss that it would undermine customer trust if the team didn't fix it.
Very cool! A next step could be to model a rolling-shutter
I thought such notices wouldn’t appear as long as the AirTag owner’s iPhone was also near the AirTag? Maybe their battery died though.
I can confirm from experience that all of the things described above can be done by a normal person with visualization (it is technically auto-hypnosis but the term makes it sound more complicated than it is).

It is easier to get started with some instruments to give you feedback but it is not particularly hard.
> Shoving 100 cattle into a 1 acre feed lot for their entire lives

?
that seems a bit unkind, does it not?

did you not read the whole thread before answering?
Something which would most likely to be too niche of a market but which I would spend almost unreasonable money on would be a framework like laptop which one could upgrade by popping in a new cm every other year.
Supporting Android 6 would be like supporting iOS 9.

Apple is only supporting latest version of iOS (17.5).
Early-Adopting the Apple Vision Pro from Outside the USA
The article quotes results from smhasher runs.

It passes.
So, to maximize the usefulness of LLMs, requires expert level domain knowledge in a field? Sounds like a useful tool for highly trained experts. For the average Joe Developer, perhaps not.
N=1, but I disagree with these protests simply because I disagree with their aims.

I'm not religious. If I had to live in a world with either Israel or Palestine in it, which seems to be the implicit choice Hamas are presenting, I'd choose Israel.

I think that people of the Jewish faith are on the whole far more tolerant and accepting than followers of Islam are. Even the militants are more reasonable.

Protest groups with titles like "Queers for Palestine" I find to be not villanous but rather simply misguided. Of course I'm going to distrust someone who seems to be borderline suicidal, the normal incentives I assume of my fellow man don't apply to them.
The article claimed the situation would get worse by itself even if we stopped launching entirely. Did it?
If you were a Google Domains customer even before this buyout you were gonna get gouged on renewals.

After like a year or maybe it was 2 I forget, the cost of my domain was going to double from $15 a year US to to $30 with Squarespace.

Moved it to Cloudflare, and now it's cheaper than it was with Google.