I'd give you three upvotes if I could:
1 for the thumbnail
1 for the ad itself
and 1 for parle en français!

https://ai.eecs.umich.edu/people/dreeves/Fox-In-Socks.txt

Awesome; maybe an AI special effects demo?
Scrubbing the trucks?

The thumbnail image for this video has been updated - thumbnail added by eric3579.

And she's specific---that for the use of AI and Machine Learning visual processing of images taken of coral reefs (for example for population counts)--it could be very useful indeed.

The thumbnail image for this video has been updated - findthumb requested by geo321.

Your video, Quantum Supremacy & AI, with Stephen Fry., has made it into the Top 15 New Videos listing. Congratulations on your achievement. For your contribution you have been awarded 1 Power Point.

Am I the only one that after hearing "Then the seekers learned to climb on top of boxes and surf them around to overcome barriers" immediately thought "That's not smart AI, that is just shitty coding"

This isn't really true though and greatly understates how amazing this demo, and current AI actually is.

Saying the agents are obeying a set of human defined rules / freedoms / constraints and objective functions would lead one to imagine something more like video game AI.

Typically video game AI works on a set of weighted decisions and actions, where the weights, decisions and actions are defined by the developer; a more complex variation of:

if my health is low, move towards the health pack,
otherwise, move towards the opponent

In this demo, no such rules exist. It's not given any weights (health), rules (if health is low), nor any instructions (move towards health pack). I guess you could apply neural networks to traditional game AI to determine the weights for decision making (which are typically hard coded by the developer); but that would be far less interesting than what's actually happening here.

Instead, the agent is given a set of inputs, a set of available outputs, and a goal.

4 Inputs:
- Position of the agent itself
- Position and type (other agent, box, ramp) of objects within a limited forward facing conical view
- Position (but not type) of objects within a small radius around the agent
- Reward: Whether they are doing a good job or not

Note the agent is given no information about each type of object, or what they mean, or how they behave. You may as well call them A, B, C rather than agent, box, ramp.

3 Outputs:
- Move
- Grab
- Lock

Again, the agent knows nothing about what these mean, only that they can enable and disable each at any time. A good analogy is someone giving you a game controller for a game you've never played. The controller has a stick and two buttons and you figure out what they do by using them. It'd be accurate to call the outputs: stick, A, B rather than move, grab, lock.

Goal:
- Do a good job.

The goal is simply for the reward input to be maximised. A good analogy is saying 'good girl' or giving a treat to a dog that you are training when they do the right thing. It's up to the dog to figure out what it is that they're doing that's good.

The reward is entirely separate from the agent, and agent behaviour can be completely changed just by changing when the reward is given. The demo is about hide and seek, where the agents are rewarded for not being seen / seeing their opponent (and not leaving the play area). The agents also succeeded at other games, where the only difference to the agent was when the reward was given.

It isn't really different from physically building the same play space, dropping some rats in it, and rewarding them with cheese when they are hidden from their opponents - except rats are unlikely to figure out how to maximise their reward in such a 'complex' game.

Given this description of how the AI actually works, the fact they came up with complex strategies like blocking doors, ramp surfing, taking the ramp to stop their opponents from ramp surfing, and just the general cooperation with other agents, without any code describing any of those things - is pretty amazing.

You can find out more about how the agents were trained, and other exercises they performed here:

https://openai.com/blog/emergent-tool-use/

Accidently posted in my own profile by quoting myself. Duh.
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Keep in mind that Spock was half human. Otherwise he would have just been cold AI. Only dead people are cold.

Somewhere, out there, are a group of kids in a garage learning and practicing to use the weapons they chose to fight with. They are honing their skills and putting every effort into being marksmen.

Their weapons of choice have been proven to be highly efficient and affective in a clandestine way. Not by design but by happenstance.

Their dream is to be the next big hit rock band.

What did you dream?
It's alright we told you what to dream -Pink Floyd

But to make it to the top their words and crafted notes must penetrate the heart where they will be stored and remembered when the time comes. The message:

Seems I'm not alone at being alone
A hundred billion castaways
Looking for a home -Sting

The people who are violated by those that hate are sent to a place that is very hard to reach. They only hope someone will hear them. Outside the wall.

You can hear them in music.

Isn't this where -Pink Floyd

This is where you come in. Don't forget your mighty pen. Your dream is at stake.

The reason why we need AI. Poor character.

Music and art culture is eons ahead of AI. Sitting in your brain just waiting for the day you need it most. And we all welcomed it in.

Teslas are pretty much invincible in Dog Mode with the Rise of the Triad of electric drive, AI and good PR.

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Highly unlikely. AI is never going to take off. Too universally boring with mediocre payoff potential.