> Pain and pleasure are just the beginning.

we have such sights to show you. (I couldn't resist)

> what did he see on Twitter that is worth spending 40 Billion dollars?

as far as I can remember all his financials (and the world's in general were way better when he put the offer in) problem with locking something like that in and then the wind changes is you can be on the hook for comparatively a lot more because the sale price does not change but the economic climate has.

It really looked like he wanted to go to court to get out of the deal, discovery started and they allowed in communications that would have meant he has to pay anyway because of what was said, so he dropped it all and paid up.

Now passers by on the street can be plastered with advertising on their clothing that's personalized to you! (for this you will get a discount on the headset)

it'd be infrastructure costs. If you can get lights that direct light correctly but are not slot in replacements and need to replace/retofit the attachments/poles they will not get used as they cost more money.

and the above holds true if there are slot in replacements but they cost more money.

The solution needs to be cheap and easy to implement otherwise it will face massive barriers to being done.

> Either there is no quantum effects in biology

Human smell perception is governed by quantum spin-residual information

or is that something different and I'm missunderstanding?

Started reading the comment thinking that you were explaining why it's not going to be possible, finished reading the comment happy that we are no where near the theoretical limits and that there is a massive amount of ground still to cover.

matrix multiplications require doing additions (and subtractions) and multiplications.

GPUs can do additions (and subtractions) faster than multiplications.

by rejiggering the way the matrix multiplication is written you can use less multiplications and more additions thus it runs faster on the same hardware.

https://en.wikipedia.org/wiki/Strassen_algorithm

>Volker Strassen first published this algorithm in 1969

.....

>In late-2022, AlphaTensor was able to construct a faster algorithm for multiplying matrices for small sizes (e.g. specifically over the field Z 2 \mathbb {Z} _{2} 4x4 matrices in 47 multiplications versus 49 by the Strassen algorithm, or 64 using the naive algorithm).[2] AlphaTensor's results of 96 multiplications for 5x5 matrices over any field (compared to 98 by the Strassen algorithm) was reduced to 95 a week later with further human optimization.

of course it will, whatever scenarios you want, forever.

The moral panic is going to be insane to watch.

(have you seen the names of some of the Stable Diffusion fine tunes? Like that, and more for video)

skimmed the paper and might have missed it, does it say if this is more or less VRAM efficient?

watch yourself with the triple parenthesis reddit can class it as an antisemitic dog whistle and ban your account. https://www.reddit.com/r/sdforall/comments/y6a3e9/warning_reddit_permanently_banned_a_user_for/

something like this: https://youtu.be/X5i0JU_NsZU?t=419 (7.00)

and if you'd prefer a dub (but the video is worse quality): https://youtu.be/itg4zKaUMgY?t=435 (7.15)

All those sound effect library guys are going to start feeling like ShutterStock real soon.

Also that style transfer is going to be put through the wringer when some top producers get access. (I can't wait)

>txt2img can't even get wording and text right it's output,

I thought googles parti solved that?

https://9to5google.com/2022/06/22/google-ai-parti-generato/

check out the images "Toaday"
https://9to5google.com/wp-content/uploads/sites/4/2022/06/Google-Parti-1.jpeg
and "be excellent to each other"
https://9to5google.com/wp-content/uploads/sites/4/2022/06/Google-Parti-2.jpeg

I'm sure I saw a Lex Friedman interview with a neuroscientist who said that experience is a post hoc narrative of events and that you can watch the brain make decisions about choices using fMRI where the choice is fixed in before the conscious observer thinks it is. Annoyingly I can't remember who he was interviewing.

>the majority of small businesses are not buying robots to replace people in the near term.

What about small businesses that can do the work remotely? the percentage of the entire workforce who don't need to physically be present in a specific location to carry out their jobs (quick google, ranges from 1/4 to 4/10 )

and large business is already looking at automation. With control models like this six axis arm making it simple to program and to reprogram for a different task, it only needs to be slightly better than human on a cost/benefit analysis to make it worth while. (was the cost in these things to begin with the hardware or the software, I've never looked into it)

it all comes down to the money in the end, if [business] can make more money by using AI it will get used.

Is there going to be enough companies left doing things 'the old way' to keep employment numbers up even though it's less cost effective?

> My grandmother still goes to the bank window to withdraw cash and has never used a computer in her life.

and yet people like her don't provide enough financial incentive to keep branches open.

https://www.bankingdive.com/news/us-banks-close-2927-branches-in-2021-a-38-jump/617594/

The other confusion is you don't need a general human level AI in all fields to cost jobs, A collection of narrow AIs selected for the type of work and feeding into each other will be able to replace jobs without even looking at the larger multi model systems that are being built.

> highly specialized machines.

That is of course until you can use a language model to instruct humanoid robots.

something like this: https://vimalabs.github.io/ but for a humanoid/teslabot body.

Then it's generic hardware and generic (likely fine tuned) software.

lets hope the AIs treat us more like dogs than ants.

thinking about [thing] necessitates being able to form a representation/abstraction of [thing], language is a formalization of that which allows for communication. It's perfectly possible to think without a language being attached but more than likely having a language allows for easier thinking.

look two comments up where the context of this is Microsoft now owning Github.

If they are truly in for the long game of supporting open source that's good. The alternative is 'so long and thanks for all the fish'

was that about supporting open source or buying a large dataset with the excuse of supporting open source.

is 'dexterous enough' (esp for the tesla bot) a product of software or are they still needing to improve performance on the linear actuators / pneumatic system to be able to run the corrections fast enough?

I've already seen people generate images for their RPG campaigns using Stable Diffusion, how many rule/campaign books will a LLM need to crunch through before it can spit out endless variations on a theme for your favorite system (or act as a major accelerator for those creating them already)

Edit: actually lets expand on this.

What happens when a sufficiently advanced model gets licensed for fine tune to paying companies and Wizards of the Coast feeds in the entire corpus of data they control and starts using that to create or help create expansions and systems and the former creators shift to editors.

Now do that for every industry that has a text backbone somewhere in it. e.g. movie/tv scripts, books, comics, radio dramas, music video concepts, and so on.