skysight-inc/HackerNews huggingface dataset:
An interesting thing to consider is if an AGI would be able to run on small nerfed hardware like recent optimizations can, or if you need absurd tier hardware to also run it. If it's the latter even if it's really smart there's only on or N of them. And it's still limited by the speed of light in it's thinking speed. If it's the former, when it leaks, it'd be everywhere.
Isn’t it economics that stopped WW1 though?
You'll add in the 6502 but more importantly items like the Globus (fascinating!), the Apollo equipment, the DX7 and the electromechanical Central Air Data Computer and you got yourself a best-seller, I predict 10 copies at least.
No it didn't. It worked as designed. Barney and most other revolving door users will keep their ill-gotten gains.

Unfortunately, the revolving door very rarely goes wrong...
True. But interestingly, few of these people believe that THEIR job is one of the "BS jobs out there"
I don't disagree, Google has also made great AI advances and arguably more fundamental ones, with the transformer, Tensorflow, and Keras.

But Google is also a for-profit, so that fits in with my thesis here that when corporations start having an incentive to put a lot of money into an area, the cutting edge research starts to happen in for-profit companies, and nonprofits have trouble keeping up.
hello facebook
Magic violates fundamental principles of our understanding of the world like causality or various conservation laws. You can't just squeeze that into the gaps.
> We're already able to pour buckets of scorn on its capabilities

No we don't, we are just trying to put a damper on all the "the singularity is here!" style comments that seems to flood any discussion about GPT.
I mean an HD webcam is not that expensive, and you don't need to record everything, just the interesting actions, any video surveillance software would do....
I've already asked one day chatgpt 3.5 to write me some code in the programming languge which he (it?) thinks is best designed and it gave me the result in something what was type annotated Python
You pay fees, even if they are hidden (e.g. lower interest rates in savings).
It is certainly possible. However if you figure that each office worker drinks 2 cups a day at the office, and most don't get Star Bucks more than once per week, most coffee is still not some crazy sugar consumption.

How energy drinks etc fits in here, I don't know.
I threw that poem into google translate. I think it was actually just French? It didn't actually fulfill your prompt. Is your claim that it's ability to write a poem is a sign of creativity and intelligence? A language model writing a poem is one of the things I'd expect a language model to be able to do. Certainly impressive, but not one of the particularly interesting or surprising things I've seen GPT-3/4 do.

Here is a poem in an invented language

Which looks like the French

But the words are different, the sounds unique

And their mysterious and unknown meaning

I walked the streets of the city

I saw the people living their life

I heard the noises and the laughter

And I felt the warmth of life

But when I looked at the words on the posters

I didn't understand what they were saying

And I felt like I was lost

In a strange and unknown world

So I closed my eyes and listened

The sound of the words in my head

And I started to dream

Of a world where words had meaning

A world where I could talk

And be understood by all

A world where words would be magic

And where dreams would be real.
An email from OpenAI 2 days ago said that GPT4 is on the paid ChatGPT Plus plan, and "severely resource constrained" with a dynamically adjusted usage cap based on availability.

Seems like for today, if you're not sure if you're using GPT4, you're not.
Aren't all new languages a mishmash of older languages, even?
> In this case I wasn't attempting a rewrite per se, just trying to understand a C codebase plagued with memory safety issues

I think this is your problem; to my understanding it's not really the point of the project. The resulting code is meant to be something you can gradually refactor, not something that's immediately better or more understandable. Even if a given piece of code is harder to refactor, it's still important on a large pre-existing project to be able to immediately switch over to the new toolchain all at once, without having to manually refactor/rewrite all of the code all at once
And even if it was, they have been extremely consistent about telegraphing rising interest rates for a while now.
Upgrading my Chumby 8 kernel part 4: reboot/poweroff
The idea that the AI would attack us once it reached that level is like saying humans would attack ants. It would simply be entirely indifferent towards us and mow us over by accident at best.

We won’t live in a human centric universe because power will express itself in a new species.
Being public comes with an operating cost. You're now subject to many more regulations as a public company, which can be distracting to execution.

That said, I think most Stripe investors and employees would have preferred to IPO in 2019, 2020, and 2021.
>Can such macro structures model intelligence in theory? Yes.

So you agree it's possible.

>Yes. But as we see in practice they aren't very logical. For example in this article we see that its markov chain didn't have enough programming language descriptions,

Well as humans we have many separate models for all different components an aspects of the world around us. Clearly LLMs form many models that in practice are not accurate. But that does not mean all the models are defective. The fact that it can write blog posts indicates that many of these models are remarkably accurate and that it understands the concept of a "blog post".

There is literal evidence of chatGPT answering questions as if it has an accurate underlying model of "understanding" as well as actual identified structures within the nerual net itself.

There is also evidence for your point of chatGPT clearly forming broken and inaccurate models by answering questions with wrong answers that don't make sense.

What gets me is that even when there is Clear and abundant evidence for both cases some people have to make the claim that chatGPT doesn't understand anything. The accurate answer is that LLMs understand some things and it doesn't understand other things.
If I can build the nitro image myself, I would just self host it.

If this is “self hosted ML” then that’s great, and it is secure!

…

That obviously isn’t their business model.

(Or is it? Did I totally misunderstand the offering?)

import blindai
blindai.api.Completion.complete("I love AI…

...I dunno, I feel like they'll say something like:

- You have a client side encryption key

- You encrypt the data before you submit it

- The encrypted data is put on the image along with our Magic Sauce

- In the secure enclave, the data in encrypted and processed

- The result is encrypted

- The encrypted result is returned to you

- You decrypt it locally!

The problem with that is there's a whole lot of magic hand waving about how the secure key that theoretically never leaves your local side, ends up inside the container image without them having access to it.

How does it actually work?
I personally recommend going old school and drawing your dungeon out on graph paper. Additionally, don’t plop the map down in front of your players. Instead describe where they are as they explore the map and have them draw the map themselves based on your descriptions. In my experience this leads to much more engaged players and also opens interesting gameplay.
My favorite Scriptable is from a different developer: an iOS app that lets you automate things by writing JavaScript.

https://apps.apple.com/us/app/scriptable/id1405459188

I use this to schedule notifications, create widgets (e.g. to show AQI from PurpleAir), and do quick text processing automation.
Testing
hello

https://kdta.io/46cSx
What's the source of that? It's not mentioned on his Wikipedia page and Google was next to useless trying to find anything.
Altai (Mobile Telephone System)
Good chance it would’ve been seen by a bunch of people and mentioned in the local newspapers of the time too.

I often look for things at trove — but I think that might be too recent for trove to have the relevant newspaper articles available.

Here’s an example of an advanced search there:

https://trove.nla.gov.au/search/advanced/category/newspapers...

(For meteor and newcastle between 1975 and 1987)

[edit - fixed hyperlink]
Ok, but take a step back and really look at the whole situation here. So you've created a machine that solves problems in kind of the same way humans do. Yay? What overall problem is a machine like this solving? How is this better than just having a human do the job? It seems to have most of the same drawbacks as humans, and then some on top of that
It makes for a fun bridging the gap cultural experience when talking to Chinese people about the Chinese idioms you learn in Japanese class. Even the pronunciation is so similar (I mean, of course it is, duh).

My favorite one is 吴越同舟 or 呉越同舟 (Wú Yuè tóng zhōu) meaning people of different backgrounds finding themselves having to work together.

https://www.zdic.net/hans/%E5%90%B4%E8%B6%8A%E5%90%8C%E8%88%...

https://jisho.org/word/%E5%91%89%E8%B6%8A%E5%90%8C%E8%88%9F

If only the two countries were as close diplomatically as they are in their shared culture.
>My fear for improving AI has nothing to do with malicious AI or humans being optimized away, it's something that might be possible today, and if not, then probably tomorrow or whenever everyone gets to use GPT4: using these programs to generate highly effective propaganda, and propaganda distribution strategies, to convince people that the accumulation of power is good, or at least, to tell people whatever it is they need to be told to optimize for those in power to stay and accumulate more power.

So, this is potentially a crackpot theory, but hear me out. I've noticed that a lot of the hype runners, posts claiming their businesses are optimizing this with chatgpt, or they've replaced most of their coding with chatgpt outputs have been generally accounts here that were created in 2021 or later. While before the last couple of months, you should generally assume good faith on HN and elsewhere, the fact is mass astroturfing now is very much possible on HN and elsewhere with chatGPT, and why wouldn't OpenAI want to hype their product and get as many users on board? They certainly could and would not be noticeable. You don't need nefarious political goals if you're just trying to sell something. You just need to create enough hype and illusion to grow your product. SV companies have done it before, and now it's automated, to a degree.

One explanation (beyond basic confirmation bias) is that a lot of people joined the crypto wave and knew the orange site was the place where tech people hung out, and a lot of those types ditched crypto and are riding the AI wave, but I really cannot be sure anymore.
> And now here we are: it seems we tech people are every bit as susceptible to this kind of thinking as the average joes we looked down on.

More. We’re more suspectible.

We are the people who take the Turing Test as an objective test of GAI, after all, even though it only tests how we percieve supposed intelligence.
On coffee machine size / strength matrix
Most automated coffee makers have a number of settings for cup size and brew strength.

The one in our office has 9 options:

* 3 sizes

* 3 strengths

I assume it can work in one of two ways, either the strength is a fixed dose of ground coffee independent from the cup size, that would make a large "strong" weaker than a small "strong".. That'd be terrible design, since this is a commercial-grade unit the size of a small fridge, I assume it does not work like that.

A nicer way would be if the dose of ground coffee is matched to the cup size, so that a large and small "strong" would taste the same.

Since more water runs through for a large cup, the machine must grind and load a larger dose of coffee into the brewing unit, than it does when it's making a small cup of the same strength..

But, if this is the case, then there are unexposed strengths available for the "medium" and "small" sizes!
I basically want the strongest brew available, if I had the patience (and I sometimes do) I'll simply fill my mug with espresso..

Lots of interfaces in the world are like this.. they hide useful information from the user, the excuse is always "not to confuse the poor stupid users", but it takes away usable features from the product and options from the user... Why shouldn't I be able to run a small cup amount of water through the dose of coffee intended for a "strong" amount of coffee, giving me an cup extra-extra strong brew ?
It's conspiracy fact.

"Any buyer of Signature must agree to give up all the crypto business at the bank"

https://www.reuters.com/business/finance/us-regulator-taps-p...
Actually the said car has a continuous internet connection, using a sim card, so I guess syncing time wouldn't be that difficult.

Also I remember some Renault Espace in France which had a dongle but then you had to put it somewhere specifically in the car to start it. Adding an NFC/RFID chip could solve part of the problem maybe...

But yes you are right this require maintenance.
Paid time off is not part of workers' “salary,” U.S. court rules
> As I mention in the post -- creativity often involves remixing existing ideas

This is carrying the weight of your core argument. It’s not wrong but it’s not completely correct either.

Creativity involves remixing but is not all remixing. Is it? Not even all humans are at the same level in this. Number of attempts means nothing if you don’t add features that the LLM desperately needs to be grounded in the reality, or perform logical reasoning beyond RLHF.
I haven't read or watched anything on terraforming Venus in a long time, but isn't a large part of the challenge not just temperature, but the sheer mass of the atmosphere? As in, even if we could cool it, wouldn't that bury the surface under hundreds of meters of dry ice?
We don't know enough about how the brain work to be able to say that our "intent" is any more than a combination of memory and an after the fact rationalisation of a stochastic process.
Great point. My guess is that it depends on the context.

Humans are natural storytellers. We're wired to encode our experiences as stories, share stories, and recall the stories we've been told. But most importantly, we're wired to learn from stories. We aren't born with a lot of useful instinct like many animals are, so crucially we use stories to pass on knowledge. Knowledge is useful if it helps us pass on our genes. And to pass on our genes we must both survive (i.e. not die) and thrive (i.e. find and reproduce with mates).

I'd guess the darker stories like the ones you're sharing are about survival. They pass on useful knowledge about what not to do if you want to live. We're instinctively attracted to these kinds of stories. For example, when someone dies, we all want to know the story behind how. Ancient humans who possessed a similar morbid curiosity probably out-survived their brethren. And we're their descendants.

On the flip side, success stories are about thriving. They're about accruing resources, status, respect, social capital. Sometimes they're about surviving too, e.g. climbing a tree to escape a lion, or finding the right kinds of food to forage for in a particular neck of the woods. The useful knowledge in these stories usually exists in the form of some special insight, or a set of behaviors or instructions. These are stories about things you should remember to do, rather than things you should avoid.

So it would make sense for aspiring entrepreneurs, public speakers, etc. to want to study success stories; and for pilots, race car drivers, etc. to want to study failure stories. I'd also wager that people who are aspiring to achieve something care more about success stories.
Lili Elbe
I don’t understand how GPT poetry is supposed to refute the standard refrain that GPT is a statistical parrot that has “learned” what next-word keeps a text sounding poemy. It operates on the same principles as when it composes boilerplate business emails or physics theories. Never mind that you asked for fake-French and got actual-French talking about fake-French.
OK, I see what you're saying.

But I don't see how this can be an explanation of Stripe's nominal value now being lower than it was in the past - inflation between the past and now means cash is cheaper now than it was then. This looks more like an explanation of Stripe's value now being lower than Stripe's value in the future?
Writing a compiler or a detailed specification is the “easy” part - it’s just raw slog.

The hard part of making a programming language is coming up with novel ideas that fit together into coherent whole: inventing something new and useful.
They have "graduated"... :-/
*bazooka
You don't need to know the typical pressure , but you definitely get the idea the pressure built inside a steam engine is much higher than atm.

The steam pressure is not about the numbers so much but a kind of hyperbole , "you know that thing which hauls tonnes of steel purely on pressure made in a steam boiler , yeah the pressure on Venus is 4 times that pressure "

I found it an interesting fact.
> it's your reference to submarines that contextualizes the number

I realised that after the fact. What I meant to say is that standard units should be used, and individuals should be left to contextualise said units of their own accord, instead of it being done for them.
Right but can you make the claim that they don't understand anything at all? That they're stochastic parrots? Because that's the direction where your own logic is taking you.

I'll concede one thing, LLMs can't use vicious insults and subtle slights to cover up the lack of a good argument. That's a human specialty done by people who are too scared to admit that they're wrong.
I read somewhere that two dishwashers are the solution. Put dirty dishes in one and pick clean from another one. Then switch roles. No robot needed
Show HN: Licensing Library for C#
This free, open-source .NET library allows you to license your non-free applications through activation keys. Follow the quick start instructions and try it out in 5 minutes!
I saw a big one in the evening during army bootcamp. For a second or two it was as bright as day.

One of the guys says "wtf was that?" and another replied "it's a falling star" (literal term we use for shooting stars in our language).

A third guy asks, "so why do stars fall?". Silence.

I ventured, "uh, guys... stars don't fall. Stars are like the Sun, just really far away. What we saw was a meteor, a rock that flew through space and burned up when it hit the atmosphere."

Half the squad looked at me like I just said that babies are delivered by storks. I could tell they thought that was total bullshit but couldn't offer an alternative explanation and call me on it.

It was then that I realized how smart and educated the average person is. Army service was mandatory back then so everyone had to go.
I think we should accept that this is a good move and leave it at that. I remember a thread a few weeks back where we were criticizing stripe about the incoming deadline and how stripe would end up screwing early employees. Now they made the correct move and the conversation switches to “they should have exited earlier?”. This is an impossible crowd to please. Everyone makes mistakes and mistakes at that scale will always have gigantic implications. They resolved it.
I'm a millennial born after the introduction of the Macintosh, who took a typing class in a public middle school. I don't remember the application, but it emulated a typewriter. We had to center text manually (count the number of characters, divide by two, backspace that many times, etc). The backspace key didn't delete characters, and mistakes counted against your wpm scores.

I'm a much faster typist if I'm allowed to correct what I'm typing as I go (~75 wpm), but I guess it's useful sometimes to know how to engage the 40wpm "actually get every character exactly right without even looking at the cursor" mode to transcribe documents.
That's what I told my boss when he asked what printer to get for the office.

"Just get the cheapest b/w Brother, they just work forever." Had one at the pub I worked at that printed daily reports and inventories for years, in a dusty basement next to the kegs and gas.
Even if all of those reactors were on time and on budget (23 are behind schedule), that's still less net generating capacity each year than just the wind power of just the US (who are almost as bad at building wind as they are nuclear).

It's not a US problem. It's just that nuclear reactors are not a good way of making electricity.
Well put. I share the sentiment.

I used GPT-3/3.5/4 for multiple tasks and I never found it useful. It just feels… average.

It can “answer” many questions correctly but that’s only on the data set it’s been training on. I asked it to solve Elixir issues, write Elisp snippets, figure out why my Rust code was complaining about lifetimes and even went for easy mode and asked for JavaScript code.

Only JavaScript (very popular) responses were workable but they still had popular problems included in it (e.g. not clearing out timers or dealing with common edge cases). Elixir “hints” were very interesting since - when out of water - it would produce code assuming that it’s a OOP and that was a rabbit hole it declined to exit.

Too technical? Went for fun with family members who have exceptional cooking skills. We tried to figure out a dish variation of an apple pie. Suggestions were heavily criticized as non workable for many reasons (too sugary, consistency wouldn’t be too good, modification change the ingredients but GPT refuse to break of out theme etc.)

Colin Meloy made an experiment some time ago and created The Decemberists-like song with it and then actually recorded it.
It worked but it was described as below average and bland. I share that vibe.

In the end I have this feeling that GPT is on a level of 7 year old with an access to vast library. It uses proper grammar it can copy parts of texts, but one needs to provide it with a great benefit of doubt and energy just so that it’s useful.

In contrast to 7 year old, GPT isn’t grateful for that sacrifice and is actually making money of you.
Depraved, even.
So many are taken over verbatim from Chinese. There are some very comprehensive Yojijukugo (literally just meaning former character compound word) collections on the net like

https://yoji-jukugo.com/

Sometimes you will have to map between simplified Chinese characters and modern Japanese characters. Easy enough though, since they still look very similar.
Hey fellow ex-Atlassian! This is a nice product. I assume it has derived from the use case at Atlassian, with Forge?

https://developer.atlassian.com/platform/forge/
So if a human fails at something it's proof that the human doesn't understand anything and that a human is a stochastic parrot?

I think your clock analogy doesn't fit. A car with a broken mirror still runs.
I've been using Scriptable to develop a Discord Bot integration for our Questmate task and I think it's a very powerful and flexible solution for creating custom integrations.
For older time periods such as the 1950s - where trove does index the newspapers — it’s very easy to find reports of meteors and bright lights —

https://trove.nla.gov.au/search/advanced/category/newspapers...
:D Yah, it's more like sevenbucks now here, too. That tells you how frequently I consume it...