Artificial intelligence still has some way to go

My PS4 keeps recommending shows I'm already watching on my PS4. HOW DOES IT KNOW???!!

I'm pretty sure those promo thumbnails hook up to the various services' algorithms if you're logged in on your PS4

i mean, if you're logged into those services

It asked for permission to monitor my video app activity in order to make recommendations then it recommends things after I've already discovered them.

They probably bought a used spotify algorithm off ebay.

lol this is pretty weak:
https://www.youtube.com/watch?v=RKiGfGQxqaQ

they'll get to Max Headroom in around 50 years at this rate

for companies that want something 800% more disturbing than a real human, while only being 500% less helpful

the trend to name AIs after "normal" names (Douglas, Watson, Erica, etc) is weird. it feels like a new dot com era domain buy-up spree. similar to how right now we're all like "why didn't *I* register awesomecars.com in 1998, i would be rich now!", there may come a time when advanced AI makers wish that they could name their creations Greg

Like, I would understand why DD would want realistic models of dead actors, etc, but why on earth would I want to make one of myself?

tbf he does look and move a lot like aged paul ryan. so, almost kinda lifelike sorta.

"As lifelike as Paul Ryan" you mean.

trying to avoid oxymorons when possible

The glaring problem with AI 'Douglas' is that, even though the computer apparently has been programmed to be able to reproduce the face, posture, or gestures of its model human in 'every conceivable position', the computer has zero idea which of the millions of potential micro transitions to its virtual face and body that would be most appropriate to smoothly mimic a real human responding to unscripted input. It just jumps discontinuously from one unconvincing posture and expression to another. iow, it has excellent graphics and crap AI.

https://www.youtube.com/watch?v=P4IViUHEPNs

loooooool

that one hurt

This is impressive: https://www.independent.co.uk/life-style/gadgets-and-tech/protein-folding-ai-deepmind-google-cancer-covid-b1764008.html

https://www.youtube.com/watch?v=8HZ4DnVfWYQ

closed captions recommended there

fractal cucumber!

https://www.youtube.com/watch?v=gg7WjuFs8F4

The Biden-Harris administration is committed to rebuilding an economy that welcomes everyone as full participants.

— The Democrats (@TheDemocrats) December 1, 2020

It's great that journals are getting authors to do plain language summaries along with the more technical abstracts.

This one - from an article titled 'Potential and limitations of machine learning for modelling warm-rain cloud microphysical processes' - is plainer than most. 🙂 https://t.co/UyKoDvQPtT pic.twitter.com/W3a1OCrBxs

— Tim Baxter #athome (@timinmitcham) December 5, 2020

why haven't scientists always been doing that, omg

terrific

At first I thought an AI wrote that and I was like “I guess they don’t have that far left to go!”

This seems to be the thread previous Google web audio experiments were on, and this involves machine learning though I don't know exactly how, so, bloody hell, this is impressive, and also cute:

https://artsandculture.google.com/experiment/blob-opera/AAHWrq360NcGbw

Control your own blob choir! 4-part harmony! Sings Christmas carols (click the 🎄)!

Introducing Blob Opera, an experiment I created for Google Arts & Culture: https://t.co/dfLnCXSR0R pic.twitter.com/UYbZH8jXE2

— David Li (@daviddotli) December 15, 2020

That's pretty neat!

yeah, i love it

Ohh, apparently it also takes midi input. Which is also an excuse to post this Satie gymblobédie.

Discovered that @daviddotli's awesome Blob Opera project works with my MIDI keyboard! 🎹 Enjoy these blobs singing Satie. 🎵 @googlearts pic.twitter.com/6ZKHaK2o4X

— Alexander Chen (@alexanderchen) December 17, 2020

A big reason why these blobs are so wonderful is they are not the source of the intelligence which is making the music. That's being supplied by real musicians.

I kinda want to use that to make some fake vocals for Bicep-sounding tracks.

neat!
https://openai.com/blog/dall-e/

pika pika pic.twitter.com/ErIF703OBb

— Max Woolf (@minimaxir) January 5, 2021

gotta AI fast pic.twitter.com/myb8oPzVuZ

— Max Woolf (@minimaxir) January 5, 2021

OpenAI’s new DALL-E is GPT-3 but trained on language + images. It can generate pictures from text that blend concepts in interesting ways https://t.co/CtFwPcJ5L6 pic.twitter.com/wxDzIExqMX

— Mark O. Riedl (@mark_riedl) January 5, 2021

a human worker who is apathetic and slow, replaced with a machine that is never tired

a honking eggplant begging for licks

very much want to test this out

saaaaameeeeee let me in let me in let me in

your mom

https://venturebeat.com/2021/01/11/outlandish-stanford-facial-recognition-study-claims-there-are-links-between-facial-features-and-political-orientation/

Kosinski and coauthors, preemptively responding to criticism, take pains to distance their research from phrenology and physiognomy. But they don’t dismiss them altogether. “Physiognomy was based on unscientific studies, superstition, anecdotal evidence, and racist pseudo-theories. The fact that its claims were unsupported, however, does not automatically mean that they are all wrong,” they wrote in notes published alongside the paper. “Some of physiognomists’ claims may have been correct, perhaps by a mere accident.”

You may recall this is the same discredited charlatan Stanford prof who claimed AI could detect sexual orientation.

very much want to test this out

In my experience it is simultaneously true that

a) systems like this show very impressive performance;
b) what you see in the demo is the cream of the crop and if you mess around with it yourself you'll quickly come to see what kinds of tasks it's good at doing and a much larger universe of superficially similar tasks it's not good at all at doing

lol I was p confused by that post for a sec

i'm just saying a lot of these things that look like magic when you see the curated demo don't FEEL like magic when you play with them yourself, and that's because they are not, in fact, magic, just well-designed systems that do certain things and not other things

no I get it -- I just briefly thought you wanted to try out the neo-phrenology classifier

https://www.openphilanthropy.org/blog/new-report-brain-computation

and yes to eephus but the upside is that once you start playing with them that means EVERYONE'S playing with them and they tend to iterate quickly.

Lately every time I read a blog post or essay like this: https://marksaroufim.substack.com/p/machine-learning-the-great-stagnation

that completely loses track of its thesis--if it even has one--and just jumps around from topic to topic ranting a bit about each one, I wonder if it's going to be followed up in a couple of weeks with another "Ha! That last blog post was entirely written by GPT-3 and you fools couldn't even tell!!!"

i thought this was really interesting and well executed.

Here's a sacrilege - "Ballet Mécanique" by Fernand Léger and Dudley Murphy edited to the sound of "The Promo that Got Away (Insert Story Here)" by ghosts4hire

As usual with AI results there are parts where I want to manually polish things, but I here's the raw output. pic.twitter.com/2Nyvr55sTX

— Mario Klingemann (@quasimondo) January 24, 2021

er, sorry: explanation earlier in thread

For an upcoming collaboration I created an algorithm that edits music videos autonomously by selecting the best matching scenes and cuts for a given song. Here's a test with some found glitch material.

Song: Time Traveler (eroded by time mix) by ghosts4hire
CC BY-NC 3.0 pic.twitter.com/LqsKSoHuvg

— Mario Klingemann (@quasimondo) January 24, 2021

brilliant

This seems like an article Sarah Conner would read three months before Skynet took over:

https://www.forbes.com/sites/davidhambling/2021/01/27/drone-swarms-are-getting-too-fast-for-humans-too-fight-us-general-warns/

that’s p fucked up