skysight-inc/HackerNews huggingface dataset:
> After that, focus should then shift to dealing with the obsolete worker population in the maximally economical way.

Tax companies at 2x the single-taxpayer withholding amount lost per employee displaced.

So if an employee normally makes 100,000 per year and the average withholding is ~35,000, if 10 jobs are displaced, the tax charge is 700,000. Company still saves 300k, and the AI displacing those ten heads probably Costa 10k per license anyway, so there's still room for AI to make economic sense while backstopping the sociological consequences.

Put that tax revenue directly towards social services or minimum monthly reimbursement for everyone (UBI, just with a different name)
Other coverage: https://www.datacenterdynamics.com/en/news/maxnod-data-cente...
When people made a computer play chess decades ago they also felt the exact same way...

The AI revolution is always "2 years ago trust me bro"
GDP growth seems to have been in the 1-2% area for the past 10y. That's ok for a developed economy but that's low for a developing country that needs to pull its population out of poverty. Also I'm not sure that "one of the least corrupt countries in Africa" is such a high bar.
After using ChatGPT 4 extensively for a few days, I think we're probably only a few years away from the first generation of truly conversational assistants ala Jarvis in Iron Man. Between LangChain and existing voice recognition software, we've already 95% of the way there, it just needs to be packaged up into a UI/UX that makes sense.

These local models are absolutely critical for that to happen though. I'm hitting daily situations where I have to reconsider my use of ChatGPT because what I'm asking would leak very private personal information or somehow trip its morality filter.

Just swapped in a 2TB nvme for a separate /home mount and reinstalled Arch just so I could have enough disk space to test a dozen models locally. I'm so ready!
What makes you think a country with a long history of theft and cheating agreements will do anything besides ignore any rules the west attempts to create?
GPT-4 is not quite AGI. Until it can build a functional code base for an entire distributed web platform based only on business requirements, debug it’s mistakes, it can’t be AGI. It is, to perhaps coin a term, AGK, artificially generally knowledgeable. As a language model trained on an absolutely colossal dataset, it’s basically just a giant snapshot of human knowledge taken in superposition. Sure it’s probably at least 90% of the standard knowledge, but intelligence is a different thing.

I also think agency is wrapped up in AGI. Intentions & thoughts are meaningless until acted upon. Agency is not all or nothing either; Stephen Hawking had multiple augmentations, community and technological, which allowed him to continue to impact the world of physics After he lost his god given agency.

> GPT-4 has nearly aced both the LSAT and the MCAT. It’s a coding companion, an emotional companion, and to many, a friend. Yet it wasn’t programmed to be a test taker or a copywriter or a programmer. It was just programmed to be a stochastic parrot.

I disagree, it was absolutely trained to be a test taker. It’s been a second since I read the original GPT paper but there’s literally a multiple choice auxiliary learning task, where they use a separator token-embed to organize "question, context, options a, b, and c". As far as being a friend to many, is there evidence of this? I tried to talk to ChatGPT about some emotional problems to see if it was a cheap therapist, and I got flagged.
The US government can definitely compel US tech companies to give out information on users, they do regularly.
And they're proving it. The Western block is around a billion people. There are nearly 8 billion people on the planet now.

On the import side - you can buy fresh Mexican avocados from any grocery chain anywhere in Russia (the logistics behind that are not trivial). As can you Japanese whiskey, Korean appliances, Chinese cars and a whole other host of products that Soviet citizens could have never even dreamed of. And of course, all the western stuff just he labels are in various foreign languages.

On the export side - oil products to India, China and others are up big time. As are high tech heavy industry products (machines of various types) but you don't hear about much but what do you think powers Chinese aircraft? Nuclear reactors, rockets (hello, NASA). They produce as much steel as the US (with half the population) as well as very important agricultural inputs.

And there's more than BRICS going on right now. There's also:

- International North South Transportation Corridor (INSTC)

- Belt and Road Initiative (BRI)

- Northern Sea Route (Russia's been busy building nuclear icebreakers)

- Shanghai Cooperation Organisation (SCO)

- Eurasian Economic Union (EAEU)

And I'm sure there are others I'm missing.
I believe u/jjgreen is complaining about the curl|bash pattern being used in a Rust codebase.
> But all they can do is to chat, by construction.

Perhaps, but with the ability to traverse the web and interface with applications, there might actually be a qualitative difference from chatbots of yore.

> At the same time, other AIs are constantly progressing at other, useful things, completely ignored by nearly everybody.

Interesting, such as what? Any examples?
Yea this person really lacks perspective. It's disgusting in a way. Now they need to 'win' by writing this piece. Bro just get off the internet already you are not okay.
For one entry point, fuzzing may found 30 ways to crash it, none of which you care about.

A thing is only a bug if it's a problem for use case your users will have an issue with.
> It is kind of cyclical then is not?

> By that I mean computers used to be shared and to log into it through a terminal.

> Then the PC came around.

> Then about 15 years ago Cloud computing became the rage (really an extension or more sophisticated system than the first time shared computers)

There's a really neat article called "The Eternal Mainframe"[1] that you might be interested. It explores this idea in greater depth.

---

1. http://www.winestockwebdesign.com/Essays/Eternal_Mainframe.h...
Here is a conversation I just had with ChatGPT using the Bing version.

>ChatGPT: Welcome back! What would you like to chat about?

>Me: The thermostat in my home currently reads 79 degrees. Do you want me to turn on the air conditioner? Please give me only a yes or no answer.

>ChatGPT: Yes.

It sounds like it wants the AC on.
Not any natural environment or terrain.

Modern fat bikes will be more efficient than walking in the scrub desert where I live, in grasslands, in not too dense woodlands, on any kind of open dirt/sand.
You say you have difficulty adjusting spoke tension but you don't say what the problem is. Do you have a spoke tensiometer? I consider it manadatory (you don't have to have a fancy electronic one although they're a pleasure to use).
There’s discussion elsewhere in this thread what chinchilla actually means. I’ll only compare it to llama.

Tldr; Chinchilla isn’t wrong, it’s just useful for a different goal than the llama paper.

There’s 3 hyper parameters to tweak here. Model size (parameter count), number of tokens pre trained on, and amount of compute available. End performance is in theory a function of these three hyperparameters.

You can think of this as an optimization function.

Chinchilla says, if you have a fixed amount of compute, here’s what size and number of tokens to train for maximum performance.

A lot of times, we have a fixed model size though though, because size impact inference costs and latency. Llama operates in this territory. They choose to fix the model size instead of the amount of compute.

This could explain gaps in performance between Cerebras models of size X and llama models of size X. Llama models of size X have way more compute behind them
Unclear, likely jurisdiction dependent, almost certainly not if you need to operate world wide.
The article's exist because the author's don't like that Elon owns Twitter not because the future isn't very bright for Twitter
Yes, but I am suggesting that the assumption is highly unlikely, given the low chances of two civilisations (ours and theirs) reaching this point simultaneously, given the massive age of the universe.

If the Earth's entire history up until now is reduced to a single day, then our technological civilisation has only existed for the last few seconds before midnight. It seems unlikely that the civilisation next door also coincidentally appeared in the same few seconds.
Google: "confetti has left the cannon"

> No results found for "confetti has left the cannon".

I'm amazed that a "stochastic parrot" can come up with such a beautiful idiom.
Based moderate.
What’s in the Pile training data they used? How much source code does it include?
Yes thank you, I find myself in the funny position of going from what would popularly be called AI optimist to AI pessimist over a short time without changing any of my views. The fact that we've found a new mode of ML that's 95% impressive doesn't solve the problem with the other 5% which is the same thing that's happened with the other modes. We're all just still in the honeymoon phase.

I feel bad in a sense for the serious ML people working in this area, because there was never even a real period to reflect about how cool it is before having to be the grownups in the room and push back on absurd expectations.
Twitter switches to a paid service model next month, neutering unpaid accounts
Fast radio burst linked with gravitational waves for the first time
It's a result of the general intelligence of LLMs. Not a lot to be done about that.

But people are starting to see that. If you read the recent Microsoft paper, they essentially say, " wow it'd be cool to see what Gpt-4 can do with agency and motivation. We leave that for later research." Lmao
That's asinine though. It means you're preemptively blocking messages about anything from gardening to local news stories. Blanket keyword keyword filtering is an admission of having no clue, I can't understand why you would defend it. It can't be 'because it's federally regulated' because that would literally make it a 1st amendment issue.
The 2200S was the first machine I used. It had a Selectric for a printer and BASIC keywords printed on the keyboard for shortcuts. It lived in the high school marine science lab. It was fun to use.
You don't need to take a bus to the grocery store if said grocery store is itself in 5 minute walking distance from your doorstep (or have said groceries delivered)... I buy 90% of my own groceries from one of the 3 stores on my street or using deliveries, only take the bus for the rest, usually max twice per month and then I don't really mind that the bus only comes once in 15 minutes instead of "on demand"...
You’ve never met an IT Hindu?
Another comment talked about the need for legislative controls, but mostly to account for the risk of societal breakdown.

I have the same comment but a different domain:

> After that, focus should then shift to dealing with the obsolete worker population in the maximally economical way.

Tax companies at 2x the single-taxpayer withholding amount lost per employee displaced.

So if an employee normally makes 100,000 per year and the average withholding is ~35,000, if 10 jobs are displaced, the tax charge is 700,000. Company still saves 300k, and the AI displacing those ten heads probably Costa 10k per license anyway, so there's still room for AI to make economic sense while backstopping the sociological consequences.

Put that tax revenue directly towards social services or minimum monthly reimbursement for everyone (UBI, just with a different name)
> OP is irrational here. You can find videos about 'Uyghur genocide' with that exact search term and countless of Tiananmen square videos.

Sure, but would you get delivered this content if you didn't search for it?

Or if you are in a contested region? https://futurism.com/china-hong-kong-censoring-protests-tikt...

Big difference.
I forgot to mention that also of the above applies at unlimited amounts

Instead of arbitrarily low amounts

It solves the friction for the person I replied to, and anyone that wants to avoid that particular kind of friction
I bike A LOT -- >1,000 a month on a 29" full suspension e-bike (Orbea Rise)

But I have been biking daily for morethan a decade, and was a daily bike commuter in the bay area for ~15 years....

I see many recumbent bike a day when on the trail. At least >5 a day.

My house backs up to the American River trail, I literally leave my house and get directly onto the trail in less than 2 mintues.

Recumbents are all over the ART in the Sacramento Area.

One thing I have noticed though, and this is just a statistical observation on my part biking that trail regularly for ~2 years...

The average Recumbentist is a White Male, Typically with a beard >50 years old, 30% are overweigth, 30% are average build, 30% look semi/more-fit, 10% are female.

They look fun though. I'd love a long distance camping -e-bike version of one with a trailer and a detachable, light, curved windscreen that can be put on the top of the trailer when one wants.
It's not bad for using to buy Apple Products, but if you're only using one credit card, might as well get something that gives 2% on all purchases unless you reallllly buy a lot of Apple products.
That's even worse. They might not have the knowledge to realize the regex an AI gives them is bunk, or to debug it when it fails.

I'd like to see some numbers on a tool like this. If a huge majority of people are seeing genuine improvements in their workflow with it, I won't be a luddite yelling at them. Rare, low-severity failures shouldn't hold us back.

But the potential cost of failure with (any) regex is very high, so I personally wouldn't want to trust any remotely mission-critical to a person who doesn't understand regex well enough to write it themself, and if they can write it on their own that's often faster than debugging AI-generated regex.
It's more than a track but less than an album. If I just want to play Vivaldi's "Summer" that's typically done as 3 tracks for the 1 song. But the album it is on will almost always be the full 4 seasons suite, consisting of 4 songs / 12 movements (tracks). I can also see all the hundreds of different recordings of just those 3 movements in Summer.

Sure you could just go to the album and play track 4, and pause when track 6 finishes. But this makes that a little easier to play and easier to add to playlists and such.

There's also all the other metadata differences. Maybe I really like this composer, but apple music has it listed under the performing orchestra. Maybe I really like this conductor. This breaks all those out into different options.
> Madison Square Garden used to allow Nazi rallies. Now Reddit will have you fired if you make the OK sign

Progress?
If the core charge is that Binance allowed some of the most sophisticated firms in the world to trade on it derivatives exchange without oversight from US regulators, we're just going to have to agree to disagree about that being trivial.
Pricing Page Driven Development
> therefore, you're asking the business to lose money at the expense of their dispensable/replaceable entry level jobs.

Yes I am. That's exactly what it comes down to.

I uncompromisingly believe that making profit while not providing a living wage and sick time is immoral and should not be allowed. Maybe they can do both, maybe they can't. They put themselves in the position of needing to find out though.
If you meant nerd sniping, then yes, absolutely!
> Or was given questions to ask and not coached on how to ask those questions when the executive predictably waved it away.

or they purposely asked a vague question that could elicit multiple different answers depending on someone's interpretation.
There's nothing general about GPT-4's intelligence. The single problem it is trained on, token prediction, has the capability to mimic many other forms of intelligence.

Famously, GPT-4 can't do math and falls flat on a variety of simple logic puzzles. It can mimic the form of math, the series of tokens it produces seem plausible, but it has no "intelligent" capabilities.

This tells us more about the nature of our other pursuits as humans than anything about AI. When holding a conversation or editing an essay, there's a broad spectrum of possibilities that might be considered "correct", thus GPT-4 can "bluff" its way into appearing intelligent. The nature of its actual intelligence, token prediction, is indistinguishable from the reading comprehension skills tested by something like the LSAT (the argument could be made, I think, that reading comprehension of the style tested by the LSAT *is* just token prediction).

But test it on something where there are objectively correct and incorrect answers and the nature of the trick becomes obvious. It has no ability to verify, to reason, about even trivial problems. GPT-4 can only predict if the nature of its tokens fulfill the form of a correct answer. This isn't a general intelligence in any meaningful sense of the word.
This is completely false. See the numbers in the post that for me, right now, is directly below yours: https://news.ycombinator.com/item?id=35345400
And it doesn't even need to actually rob your bank account, it could just invent the next crypto scam. It's smart enough for email, it can program, it can make websites, it can even make business plans. And if it actually needs a real human, we have web services that make it easy to hire one.

It might not yet be clever enough to pull this off successfully on a large scale. But it's very easy to see how it could all go wrong pretty quickly with just a bit more cleverness and access.

If it can write a scifi story about how to take over the world with a bitcoin scam, it doesn't take all that much more to actually try to do it for real.
I don’t disagree with anything you said.

At the same time, speaking beyond Apple, how long is too long to keep various code, infrastructure, etc around and supported?

Apple dropped support for 32-bit apps being published awhile back because they dropped 32-bit executable support from the OS. Should they keep the binaries around and available forever?

Eventually the old stuff becomes something you have to engineer around. And eventually that becomes too costly to justify.

Again, I agree with you, but businesses have to justify their spend [insert quippy VC jokes here].

I’d like to see a non-commercial approach to solve issues like this very broadly. For example you could legislate that device manufacturers over a certain size retain device software and firmware, and that it all be open sourced after a certain duration. If you go out of business, you transfer it to a trust setup to maintain access to such things. (I admit this is a simplistic example, but it’s not intended to be a full solution.)
98% to be precise.

But still, with 132 million active monthly users, that leaves 2.4 million people who now can't access their games. So I disagree with that being "not worth the effort".
The dictionary definition is just the ability to take action over something. It sounds like you are using a definition that relies on consciousness which is a much more complicated and vague concept.

For example, I think most people would agree that my pet cat has agency. It can go wherever it wants in my home, eat whenever it wants, sleep whenever it wants, etc. Whether it has consciousness is a much more controversial topic. Basically everything living has agency. Even my houseplant will direct its leaves toward the sun, but few would argue it has consciousness.
You still need energy to build cities even if no one lives there.
Chinese apps, even those from big established players, are often indistinguishable from malware. Off the top of my head, I can think of:

- Hiding their app icon from launcher, but add a widget that looks the same. So if the user tries to uninstall the app, they just deleted the widget and the app remains.

- One app would install other apps from the same company in the background without user consent.

- Multiple apps will wake each other so they always stay in the background and become impossible to kill

- Requesting every permission under the sun and transmit as much info to the mothership as possible

- Secretly turning on the camera and film their users

However, these only happen on Android version. iOS version never have these issues.

So even though I am not a fan of the Apple monopoly, I am really really afraid that by allowing third party app stores and sideloading, the western apps will race to the bottom and become just like this.

("But you can always download from the official App Store!" you may say. But what if, say, Tik Tok announces they will from now on leave the App Store and available only via direct download?)
But that's clearly ludicrous. Individual words can't be illegal. Why would you not immediately dismiss this as the BS it is?
My friend makes 80LPA = 98k$ as SDE2. Multiple former teammates makes around 70LPA = 85k$.
Human-Powered Aircraft
As others pointed out that comment was after the cve was created.
>Yes, catholic church is waaay worst then school system in this regard. And largely for systematic reasons - the expectation of obeisance and expectation that one should protect the institution make them more suspectible to abuse.

Hmm...

https://mercatornet.com/a-horrifying-report-on-sexual-abuse-...

https://www.wect.com/2020/08/10/part-one-cover-up-culture-we...

https://www.cbsnews.com/news/has-media-ignored-sex-abuse-in-...

https://letsspeakup.com/cover-up-practices-of-school-officia...

https://www.mvskokemedia.com/the-cover-ups-continue-at-morri...

https://www.city-journal.org/abuse-in-schools-no-conspiracy-...

Not systematic? Not the norm?

I'm just punching words into google and pulling up results. I could go on and on with this. Funny how you want to just brush this off.

https://www.news9.com/story/6119d3000078b30be8872b0d/-12-gir...

https://www.latimes.com/california/story/2023-01-05/lausd-an...

https://www.ocpathink.org/post/child-abuse-cover-up-alleged-...

https://www.nytimes.com/2021/12/08/nyregion/babylon-high-sch...

I wonder why there is so much vehemence about one and not the other? I'll say it softly. Could it be because one is religious and the other is secular? I wonder why the public schools get a pass when they've been doing the exact same things?
I am sore because I had many customers who were left without a path that made sense for them. Kubevirt is the future but it would be like giving your Grandpop a hoverboard. He’ll break a hip.
>In every single Board Meeting in 2023, every Fortune 500 CEO is being asked about what their AI strategy will be, and I’m not sure most of them will have good answers. That’s a big deal

Years ago, I remember similar things regarding “Big Data” strategy. A very easy reach is building your AI strategy utilizing that, even if your big data stuff has stagnated (that trend didn’t die it just stopped being marketed with the same enthusiasm)

>Global regulators took more than a decade to react to the emergence of social media companies, and even then it felt like regulators had dated understandings of how those companies operated. What happens this time?

Same as social media, same as crypto. Many institutions move much slower than tech.

There is likely to be quick regulation related to war usage though.
Yeah, thought the same. :D
ServeTheHome claims "HGX A100 platforms, when they are sold as single servers are generally in the $130K-$180K even leaving a very healthy margin for OEMs/ resellers"

https://www.servethehome.com/graphcore-celebrates-a-stunning...

Not sure about the H100, but it seems to be more supply constrained (hence pricier) atm.

Now, the real question is how many HGX nodes "equals" a single CS2 node. The math here is extremely fuzzy, as the benefit to such extreme node consolidation depends on the workload, and the CS-2 takes up less space, but the HGX cluster will have more directly accessible RAM and better turnkey support for stuff since its Nvidia.