I think it is better to use AI to root the devices, get them to run linux and run an open source media app. The TV manufacturer's default OS is low value.

The value is that they can display copy protected 4K content, open source media apps cannot.

In other words, they successfully implemented a vertically integrated monopoly, and you're rewarding them for it?

That won't alter behavior positively.

Exactly, if anything it motivates me to go torrenting, even though I had stopped doing that for 20 years

Why wait? Just do it. You get high-quality DRM-free files without paying a cent.

This can only be done on Goolge TVs, correct?

Has this even been done by anyone, ever?

I want this for the visualization of very difficult to solve application evolution. This is for problems which have no known solution and are too complicated for an agent to figure out on its own. My current problem: can alphafold and related tools figure out the function of a gene that so far is unknown. Think of the monte carlo tree search in the alphago explanation videos. What if there was visualization that showed how the policy and value models worked so you can spot their flaws. I want the agent to build an attempt at a solution, then build a visualization of it, then run the solution and show me what is it up to. I want to it pause and explain its state so I can see exactly where and why the solution fails.

We need increasely difficult bio-agi contests.

put that RSI to use here and let it rip

James Bond villain system activated:

1. figure out how to make money by breaking government in a way no one can agree to fix

2. pay politicians to make it legal

3. run political ads claiming the other side is the villain

4. buy that island you've had your eye on

Running a Loop on the well defined goal seems promising: https://www.youtube.com/shorts/EtxdB7gpFqY

I'm a bit suspicious of this as there are open source excel clones already.

It's impressive AI can put together it's own version, but I can't help but feel it's probably just relying on existing excel clones as it's a well trodden space.

Novel applications are what impress me. Not a clone.

Agreed. Novel would be very impressive. AI tech is struggling with that.

It is important not to wait for today's AI tech to get to AGI. It is better to exploit the useful things it can do today while waiting for it to get better tomorrow.

Cloning existing software might be useful today. It allows the model to

1) learn from its mistakes

2) mix known solutions (embed product A inside product B)

3) mine value (turn product A into a set of reusable libraries)

etc.

Welsh Labs has a great video on JEPA and robotics. https://www.youtube.com/watch?v=kYkIdXwW2AE