Many organisms exhibit self-preservation behaviors and do not even possess the most basic cognitive capabilities or theory of mind.

Can ML systems exhibit unexpected emergent behavior? Yes, all the time.

Can an AI potentially go rogue? Sure. Considering that operating systems, GPU drivers, scientific computing libraries and machine learning libraries have memory safety issues, and that even RAM modules have memory safety issues, it would be plausible by a sufficiently advanced machine learning system to break any kind of measured in place to keep it contained.

Considering that there are AI/ML models suggesting code to programmers (Github Copilot), who in turn won't often won't pay much attention to what is being suggested and will compile the suggested code and run it, it would be trivial for a sufficiently advanced malicious AI/ML system to escape containment.

Or make it data free altogether

https://github.com/philipl/pifs

Wait until you hear about the 1/2 bit.

Define "friendly".

People are not friendly towards each other, and being friendly towards one person can result in being hostile against another, or even cross moral or legal boundaries. A person may use a LLM with hostile objectives in mind. Such as facilitating scams, academic cheating, impersonations, misinformation, harassment, etc.

ChatGPT is unethical, because it can always be tricked to do the wrong thing despite any instruction it is given to it.

Genetic algorithms require you to create a population where the genetic operators are applied (mutation, crossover and selection).

Creating a population of neural networks implies having multiple slightly different copies of the neural network to be optimized (i.e.: the population).

This can be more computationally expensive than other techniques which will do all the learning "in-place".

For discussions about the existence of god and similar topics, visit https://www.reddit.com/r/philosophy

What do you see here?

https://www.youtube.com/watch?v=9Tt7aqHFUCU

This animation consists of geometric figures moving. But your mind may attribute mental states, intentions and even a personality to those figures.

This capability, "theory of mind", makes humans and other animals capable of attributing mental states even to inanimate objects that do not have a mind. In your case: black holes and other stuff.

Ancient people did not understand natural phenomena, such as atmospheric events, astronomical events, seasonal cycles in agriculture, etc. In some cases, they came up with belief systems where supernatural entities such as deities governed those phenomena.

Today, science has explanations for many of those natural phenomena. Even with some open questions still remaining, now we understand things well enough so that we can articulate what is going on in clear terms without the need for a god of thunder, god of rain, etc.

I think you're following the steps of the early human cultures that tried to assign a God to what you perceive as unexplained phenomena. Namely: black holes, AI, sentience, etc.

If you don't do it, another country/federation of countries will. And they will reap the benefits. Losing the AI race has horrible consequences.

Also, Google doesn't use GPUs, they designed their own cards which they call TPUs.

TPUs are ASICs designed specifically for machine learning, they don't have any graphics related components, they are cheaper to make, use less energy and can make as many as they want.

Your unconquerable benchmark is below the level of achievement attained by research from 1970

https://en.m.wikipedia.org/wiki/SHRDLU

You only pay taxes on your income so it is fine.

It is usually a breach of contract which results in at least, termination.

Being in an office is your "mutex lock". Once you remove that lock, you can have multiple jobs, unless you are based enough to work a second job from an office.

Personally I would not do it, but there are perverse incentives to do it and that is a predictor that people will do it.

The challenge of remote work is that a competent person capable of passing interviews can have 2 or more jobs simultaneously.

You can probably use OpenCV for that.

If visual pollution was a website.

I would rather recommend starting with polynomial curve fitting.

Microsoft's CEO, Satya Nadella, puts significant emphasis on accessibility.

https://blogs.microsoft.com/blog/2021/04/28/doubling-down-on-accessibility-microsofts-next-steps-to-expand-accessibility-in-technology-the-workforce-and-workplace/

Satya's son, Zain (RIP), had cerebral palsy and that inspired him to address accessibility problems in technology.

At least in nature this happens because the environment is always changing and the value of training decays (some sort of "data drift").

Between knowing C++ and Rust, and not knowing those languages, it is better to know them. But you have learn with a purpose.

What do you want to achieve with C++ and Rust?

It's a defect in counting, that's all. The moves and the passing are correct. There's no premature passing.

In the kifus, white (the victim) is clearly ahead. The passing begins when both territories are clearly defined.

The problem comes at counting time, when stones are marked as dead, here, white doesn't mark dead groups as dead, causing most white territory to be voided.

White is not tricked into passing prematurely. White passed correctly, as all black groups inside white territory are dead. They are surrounded on the outside, they have no potential for eye space and no eye shape.

Based on the moves alone, black loses in both cases. The problem is merely how KataGo is marking stones as dead during counting.

The cost of illustrations will drop. Stuff that didn't have original illustrations before now will.

A lot of people do not have a sense of aesthetics. Designers do. So they will have a job even if they do as much work as before.