yes_this_time

Eh, don't be rude. You are likely thinking of single gene mutations or other clear well defined problems.

My mind was more on polygenic diseases or genes with variable expressiveness. Where humans being humans we target things where we don't completely understand the outcomes.

We screen for chromosomal abnormalities I don't have a problem with that for example.

There is a strong possibility we would also get it wrong. Diversity is a strength. Who knows what tomorrow brings.

I generally agree, what gives me some pause:

1. Canada is having a minor unity crisis (being inflamed by foreign actors mind you)

2. Many of the other oil producers are bad global citizens

3. Canada is under economic pressure from the US.

Fair enough: regardless of whether racism is involved or not, there is an authoritarian bent to this law. In my opinion.

Sure, you can be against it for authoritarian reasons as well. Disturbing.

Right, it's also important to remember that for many folk they still had to go into work everyday, they tend not to be the people that have time to blog and wax nostalgic on the glory days of the pandemic. (Not directed at you or the parent, just a comment)

Yes, people do need to take some personal responsibility, but also corporations engineering products that are unhealthy and addictive and marketers spending billions to convince people its good stuff... is not a great system.

Why does our environment need to be so adversarial?

Bike infrastructure isn't going to be possible everywhere. Idaho stop makes cycling better everywhere.

They may not be useful to you... but you can't speak for everyone.

You are incorrect on inference costs. But yes training models is expensive and the economics are concerning.

I would bet on LLMs being around and continuing to be useful for some subset of coding in 10 years.

I would not bet my retirement funds on current AI related companies.

I would agree that the interest will wain in some domains where they aren't aiding in productivity.

But LLMs for coding are productive right now in other domains and people aren't going to want to give that up.

Inference is already financially viable.

Now, I think what could crush the SOTA models is if they get sued into bankruptcy for copyright violations. Which is a related but separate thread.

Ahh spoiler, just started reading this