skysight-inc/HackerNews huggingface dataset:
>Of course the conclusion does make sense: that people respond better to the same facts and tensions presented from a place of constructive effort, optimism, good faith, and good spirits—the old thing about catching more flies with honey than with vinegar, right?

I feel this is the difference between "protest" and "persuasion." Protest is simply stating what I believe in. Persuasion is communicating what I believe in in terms consistent with the target audience's values. The latter requires understanding different value systems well enough that you can speak to them credibly. I thought the book "Strangers in Their Own Land" [1] is a great example of that, where a self-described hippie Berkeley professor finds common cause about environmental destruction with people in blood-red Louisiana.

[1] https://en.wikipedia.org/wiki/Strangers_in_Their_Own_Land
On the ISP side, you get a ton of space. As a consumer on residential broadband, you get a limited amount of space. I have a /40 and assign down to a /127 for Point to Point links in a datacenter. IPv6 is still an older standard and a lot of assumptions were built in about a /64 being the smallest subnet. Some routers didn't support a /127 for PtP until recently even though it was an RFC in 2010. I think even NAT66 was discouraged until everyone realized you cann't have a dual-wan setup with two different prefix delegations or everything breaks when one wan goes down and everyone has to get a new DHCP address.
At some point they'll just resort to calling the metric "person type" and the gender and age will be baked into it. They'll then use that "person type" metric to determine what you want to see, hear and consume.
This is why think Meta has been so shrewd in their “open” model approach. I can run Llama3-70B on my local workstation with an A6000, which after the up-front cost of the card, is just my electricity bill.

So despite all the effort and cost that goes into these models, you still have to compete against a “free” offering.

Meta doesn’t sell an API, but they can make it harder for everybody else to make money on it.
I was surprised that the voice is a ripoff of the AI voice in that movie (Scarlett Johansson) too
I'm curious too. Among the major language implementations I can think of, almost every single one is dogfooded as much as it can be. In other words, dogfooding is almost always derivative of other technical decisions, not an independent factor. Which makes it hard to distinguish correlation from causation.

Fully dogfooded: C++, Rust, Go, D, Zig, [Java with Graal or Jikes], [Python with PyPy]

Not dogfooded: JavaScript, Python, Ruby, Lisp, PHP, Lua, Swift

Compiler is dogfooded but VM/runtime is not: Java, C#, Haskell, Kotlin Native

The compiler (i.e. whatever parses source files and generates either native code or bytecode) is almost always written in the language itself, except for purely interpreted languages where that would be too slow.

If there's a VM or runtime, it's written in C or C++ if the language is slow; it's written in the language itself if the language aims to be as fast as C; and for the many languages in the middle, it varies.

The biggest exception I can think of is Swift, which is mostly not dogfooded, although it's becoming more so. And even that is explainable by other design decisions. Like C++ or Rust, Swift requires the compiler to do a lot of work to compile it properly. Like Java or Haskell, Swift is really slow at runtime. The combination of those would be deadly for a dogfooded compiler.

Besides that, C and Objective-C are technically exceptions because the most popular compilers for them are all written in C++. But I didn't count them because C++ is in the same language family.
GPT-3 was released in 2020 and GPT-4 in 2023. Now we all expect 5 sooner than that but you're acting like we've been waiting years lol.
Autism is a condition which cause is not exactly clear, but there are clearly identified symptoms "attached" to the "word/label" "autism". Which is how you define/classify/identify a word, and in this case a disease or a disability if you prefer.

May no parents with autistic children ever read your comment.

I suggest you take a closer to the definition : https://en.m.wikipedia.org/wiki/Autism_spectrum
Oh interesting, does that mean languages other than English won't be paying such a large penalty in terms of token lengths?

With previous tokenizers there was a notable increase in the number of tokens needed to represent non-English sentences: https://simonwillison.net/2023/Jun/8/gpt-tokenizers/
Anyone who has used elevenlabs for voice generation has found this to be the case. Voice to voice seems like magic.
This is good to know. I used to enjoy gopher browsing. Compared to today’s web saturated mediascape gopher publishing might make sense on the internet.
I still need to talk very fast to actually chat with ChatGPT which is annoying. You can tell they didn't fix this based on how fast they are talking in the demo.
The two reasons I think it's not that black and white is:

1. This brings up the question of being able to agree to a contract before the contract is written which makes no sense.

2. If it's legal then why don't all companies do it. Instead, companies like Google regularly put out updated terms of service which you have to agree to before continuing to use their service. Often times you don't realize it because it's just another checkbox or button to click before signing in.
Why does OpenAI think that sexting is a bad thing? Why is AI safety all about not saying things that are disturbing or offensive, rather than not saying things that are false or unaligned?
Age and gender are super important for marketing but I'm not sure why it's a big deal. Your (inexact) age and your gender aren't private.
Fwiw, the live demo[0] included different kinds of breathing, and getting feedback on it.

[0]: https://youtu.be/DQacCB9tDaw?t=557
I think it is good to bear in mind that the distinction between perception, cognition and action/behaviour is in reality a reduction. There is more to these categories about the way we communicate and organise our society rather than mapping to a corresponding reality.

We cannot really handle incogruencies between these domains. The meanings we give to things, situations, people are not merely thoughts, they are stuff we enact on them. We can perceive something as unfair or destructive, but if nothing can be done to change it (or what can be done has too high a cost so it is practically inaccessible) we will tend to seek whatever sort of congruence we can. It is hard to think one way and act another, because that requires more energy which we are evolved to try to minimise. Hard realisations are that hard because they imply a sharp change in behaviour and way of living that we may not want, and because the implications span many domains that need to change. Author's family realising the reality of the mother would require changes in the perception of the family situation that was too uncomfortable. It is easier to hide things under the carpet to preserve the facade of a normal family life, than enact all the changes required. This is why such situations are so common when it is about families.

So, I do not quite agree with the premise and conclusion of the article, in the sense that I do not think that there is anything ingrained in our primate brains regarding how we judge incoming negative information, but rather something ingrained in our cultural institutions and social reality, which is what makes them both stable and dysfunctional. Seemingly irrational behaviours make perfect sense once one can understand how to contextualise them.
On the other hand, I disagree - I believe this approach is unlikely to lead to human-level AGI.

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. At what percentage would you say that it's good enough to be "human-level?"
To me it looked they used one command that did copy+paste into ChatGPT both.
The numbers I remember were closer to $1500 for the PC, and it wasn't right at the launch of the 128. It had already been out for a while.

That said, I was a kid, so I don't really remember the numbers well.

We were definitely not rich.
Time can only be measured by clocks (oscillatory systems). It's a slippery concept for which humans have a natural, flawed intuition. But if you understand your clock(s) really well, then timekeeping makes perfect sense. There's just a lot of clocks around. There's Unix time, UTC, TAI, smeared UTC, stop-the-clock UTC, UT1, and lots of others. Make sure you understand the clocks your system is using and how they relate to one another, and you can keep your sanity.
Seriously. I've had to spell out that it should just answer in twelve different ways with examples in the custom instructions to make it at least somewhat usable. And it still "forgets" sometimes.
The use of AI in the research of AI accelerates everything.
>against manned target

Against manned targets sure, US air power can stomp most manned adversaries already. But drive behind autonmous fighters is really about versus against autonomous platforms of peer powers, and really that's PRC, who has AI pilot program of their own. So future scenario that what we'll probably see is a bunch of attritable, high performance loyal wingmans designed to draw as much expensive interceptors as they can against each other, i.e. engagements becomes a unmanned platform attrition / IAMDs magazine depth equation. Question is, who wins in that numbers game? I would say land aviation with better logistics vs carrier aviation with limited magazine depth.

Then what does that mean when this tech proliferates, especially local vs outside power projection - because autonmous piloting removes expensive intitution building layer and will enable many shit-mid tier powers to now have airpower. Maybe even very competent air power depending on training data.
Warner Bros. gives Adult Swim games back to their creators rather than kill them
Interesting that they didn't mention a bump in capabilities - I wrote a LLM benchmark a few weeks ago, and before GPT-4 could solve Wordle about ~48% of the time.

Currently with GPT-4o, it's easily clearing 60% - while blazing fast, and half the cost. Amazing.
I can't help but feel a bit let down. The demos felt pretty cherry picked and still had issues with the voice getting cut off frequently (especially in the first demo).

I've already played with the vision API, so that doesn't seem all that new. But I agree it is impressive.

That said, watching back a Windows Vista speech recognition demo[1] I'm starting to wonder if this stuff won't have the same fate in a few years.

1 - https://www.youtube.com/watch?v=VMk8J8DElvA
Because it makes the common things easier.

We make these tradeoffs all the time in software engineering. Raw machine code is the most flexible and powerful programming language, and yet most of us here aren't using it today. Make isn't machine code and Just isn't Python, but there's an analogy: you give up something by using the latter in exchange for making it easier to do everyday things.

Just doesn't replace Make. For the thousand everyday tasks where Make's power isn't needed, it's likely a better choice for most people.
as intense as a a10 might be, it's short lived and only affects a few dudes on the receiving end. When the federal reserve goes brrr, it has far reaching impact that affects every single person in the global economy.

https://brrr.money/
>what is the remaining benefit of being a paid user if this is rolled out to free users?

It says so right in the post

>We are making GPT-4o available in the free tier, and to Plus users with up to 5x higher message limits

The limits are much lower for free users.
Look to a specialized model instead of a general purpose one
Reminds me of the story of the VERY early German settlers in Louisiana. They didn't have work animals such as horses or food / sustenance animals such as cows for the first decade of their time settling here (and to be clear, cows were used ONLY for milk... killing cows was a crime in early colonial Louisiana). Clearing the land for farming? The Company des Indes gave them each a pickaxe, a hoe, and a spade.

The progenitor of the Folse family in particular cleared the land, then became ill with malarial fever all summer, and then a hurricane flooded his property. 2 years after his arrival, he managed to harvest an entire 7 barrels worth of rice, which he had to hand-transport from the Hahnville area of modern day St. Charles Parish to New Orleans for sale.

One of the reasons the people there had such good relationships with the local native Americans (and why Creole Louisiana is such a melting pot to this day) is that they didn't have time to focus on procuring meat, so instead they would trade their crops with the natives, while the natives went hunting for meat and taught the children how to hunt, too.
What about the breath analysis?
I would like to see the collision distribution on /usr/share/dict/words. I have found that 'fast hash algorithms' can have very unequal hash distributions on short strings.
Computer power is not stagnating, but the availability of training data is. It's not like there's a second stackoverflow or reddit to scrape.
>>> but there is little risk today to losing a village to barbarian incursions.

Well shucks Bill the barbarians came in and raped and pillaged again. They did what to your wife... They took mine and the kids... Yea we should probably be more broken up about this but we're fuckin dead.

200 years ago regardless of what color your skin was there is a chance slavery was an option for you...

You live in absolute calm, and opulence compared to any other point in human history.
I don't doubt this is authentic, but if they really wanted to fake those demos, it would be pretty easy to do using pre-recorded lines and staged interactions.
I like the robot typing at the keyboard that has B as half of the keys and my favorite part is when it tears up the paper and behind it is another copy of that same paper
> Now I'm an adult, watching this kind of thing play out on a global scale every single day with the collapse of public health, the collapse of our democracies, the collapse of global industrial civilization, and the collapse of our ecosystems.

I must have missed the memo on this situation.

But more seriously, there’s such a thing as constructive criticism, and there’s such a thing as fatalism. And there are people who burn their own reputation by complaining more than is useful.
I’m not sure why this is so downvoted.

I think instability sells it better to someone who is not sure if they believe in climate change because they can personally see it (worsening hurricanes, worsening cold snaps, hotter days).
I also used this mechanism more than one time on embedded project. Define a static variable with some metadata of the firmware and markers, such that tools (e.g. tools to perform an update) can, by simply using a regex on the binary file (that is a couple of kb at most) get metadata on the file, such as the version. This way you don't need to add another file header around the raw binary, something it's not always possible.
On a related note, SMIC operates quite a few schools (from kindergarten to high school. I think they’re expanding to universities) which provides education to their employer’s children for free/reduced cost.

I find that fascinating as I haven’t seen anything similar from other countries. Can’t quite discern whether or not that’s dystopian. Companies deciding what children learn and possibly optimizing for getting them into the workforce feels wrong, yet it does provide higher quality education than local public schools.
> Demographics are used pretty heavily in market research, etc. This could be used both in targeting ads to specific people, and also in providing aggregate data to business and marketing partners

I'm thinking about the workflow here.

First, Discord profiles you based on your behavior. They conclude you are a 20-year-old male.

Second, they show you ads appropriate for a 20-year-old male.

Third, these ads do better than average because they match your behavior.

We already have behaviorally-targeted ads. We've had them forever. How is introducing a level of indirection, where we infer age and sex from behavior and then decide on appropriate ads based on the age/sex construct, supposed to improve over deciding on the ads based on behavior?
Genuine questions, because this isn’t my field:

1) Have we built enough reactors consistently enough over time to say for sure the experience effects don’t build? I know we effectively stopped in the 80s, but I’m curious if there’s evidence from elsewhere to say nuclear’s indeed different here.

2. Hypothetically, if SMRs lead to a 10-100x increase in volume building, would we see experience effects? At what volume would you expect to see genuine experience effects, or again is nuclear fundamentally different for some reason?

I’ll say my biases are: I’m not surprised we’ve seen limited learning over time for various reasons, I think the size of nuclear projects almost precludes repeat learning, and I do expect if we lower the project size and increase the volume we’d see efficiencies of scale, but I could be convinced that either nuclear is sufficiently different or that even with the SMRs we’re not going to see enough scale to actually recognize efficiencies or learning.
you do understand that they existed way before the mouse and button became the norm ?
Melinda French Gates Leaving the Gates Foundation
That they are offering more features for free concurs with my theory that, just like search, state of the art AI will soon be "free", in exchange for personal information/ads.
seems like it might not be available for everyone? – my chatgpt plus doesn't show anything new, and also can't find the dekstop app
AROS -- an AmigaOS-like environment -- can run in "hosted mode" on Linux or Windows environments, maybe Mac as well, in addition to standalone.

https://www.aros.org

Note that because it's an API-compatible reimplementation of AmigaOS, it's not really a "fantasy OS". Hosted mode is rather a tool for serious OS development. Nevertheless, it's much more like a modernized retro Amiga than it is any extant DE for Windows/Linux/Mac.
It should be safe for reproducible builds because the version strings come from the commit metadata, so they are fixed for a given version of the code.

(My scripts have some cruft for marking builds from dirty source trees, in which case they are not reproducible – but in that case it’s OK.)
Is it Open Source ?
I also thought the screwups, although minor, were interesting. Like when it thought his face was a desk because it did not update the image it was "viewing". It is still not perfect, which made the whole thing more believable.
Very cool, great work! I can def self using this when I start building in that direction.
True, as universally unique identifiers, 128 (less a few) bits is not enough. You're talking about humanity generating 505 exabytes per year of just UUIDs. That won't happen any time soon.
A critique of property tax structures as they exist is not an argument for considering unrealized gains as income. One does not logically follow from the other.

To steel man property taxes, land is immobile and requires certain government services even when it is unused (perhaps even more-so). Taxing that property is a direct an efficient(from a taxation perspective) way to fund the government services associated with that property.
Bell's theorem tells you that if some hidden variable is involved it has to be non-local. That's it. Period.

It doesn't tell you there are hidden variables involved or not. Whether light travels fast or not. Whether there's determinism or random chance involved. It's only an if clause, if you may; but a very important one, I'm not detracting from it. Please take time to understand that.

>These theories rely on nothing traveling faster than the speed of light.

There's a lot of phenomena that could be perceived as "faster than light" (i.e. a shadow's projection) and yet they aren't. Information should also not travel faster than light, that put an end to many entanglement paradoxes out there that seemed to imply faster than light travel from a first glance.

If a hidden variable is involved, there could be a not-yet-understood part of the system that allows for it to work in spite of this apparent non-locality.

Does the Bell theorem tell us that? No. Do I know the answer to that? No. Do you know the answer to that? No. No one knows. Hence why I wrote, yesterday,

>A deterministic process being behind it cannot be ruled out (yet?).
In common with Siri, Google Assistant, Alexa and chatgpt is the perception that over time the same thing actually gets worse.

Whether it's real or not is a reasonably interesting question, because it's possible that all that occurs with the progress is our perception of how things should be advances. My gut feeling is it has been a bit of both though, in the sense the decline is real, and we expect things to improve.

Who can forget Google demoing their AI making a call to a restaurant that they showed at I/O many years ago? Everyone, apparently.
For Git, you could embed a string of the form:

<git commit id>:path/in/repo/to/file.ext

to be able to retrieve the exact source file contents used to build something.
This feature has been in iOS for a while now, just really slow and without some of the new vision aspects. This seems like a version 2 for me.
Yea at some pont the style and tone of these assistants needs to be seriously changed, I can imagine a lot of their RLHF and instruct processes emphasize sounding good vs being good too much.
You are not taking crazy pills. You just had a bad experience because you bought a low quality accelerator and video card for your Amiga.

The different types of RAM were part of the reason the Amiga was so powerful and was a feature, not a flaw. The fast RAM was only used by the CPU so it could run faster without the custom chips slowing the CPU. Because the CPU mostly used the fast RAM, the custom chips weren't slowed down by the CPU. This effectively made the data bus nearly twice as fast.

By the time custom graphic cards were coming for the Amiga, people were just trying to keep up with the IBM PC. Those video cards weren't designed to match the architecture of the system. That's not the Amiga's fault, but a fault of those aftermarket video cards. That is also why you had problems with RAM overlapping. I never used those cards and had no problems.

If you bought an IBM PC at 4.77 MHz and put a 286 accelerator in it, it would be hobbled too. If you wanted more speed, you should have gotten the Amiga 3000 in 1990 with a fully 32-bit 68030 @ 25 MHz with 32-bit RAM, like I did, and I never had to deal with crashes and it was faster than your accelerator.

I don't know how you can say Commodore refused to acknowledge that computer networking existed when they had released the A2065 Ethernet card for the A2000. Few people had LANs at home back then so it was mostly used in businesses.

It sounds to me like you made a number of bad purchase decisions and ended up with a mess of your own making. Sure there were good quality accelerators and video cards but apparently you didn't buy those ones or didn't want to wait for the Amiga 3000.
I dislike getting poisoned by microplastics as much as the next guy, but a treaty like this decided by some global elite might have some unintended consequences. Like they always do..

This probably wont affect the average HN, but all of our food and medicine is using plastics for a reason. It is cheap, sterile and safe. If you're poor and the price of shippings/storing your food becomes significant more expensive then you'll even more screwed. Again, probably wont affect you or me, but these things always have bad unintended consequences.
> (I work at OpenAI.)

Winner of the 'understatement of the week' award (and it's only Monday).

Also top contender in the 'technically correct' category.