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> Alpha-Go doesn't seem to implement much randomness at all into the moves it plays. The source of randomness is in time-controls (AlphaGo may choose MoveX before 30 seconds of analysis, or MoveY after 30 seconds of analysis), but this is a fairly constrained number of moves.

The basis of reinforcement learning algorithms is the exploratory nature of learning due to the initial application of largely random moves.

Only after some time the agent is given confidence into his learned ability and grafually moved into a more deterministic behaviour mode.

This is the exact opposite of your statement. Star Craft players have noted that the fleet of different AlphaStar instances training in ensemble observed very different behaviour due to this property of RL.

The search space of Go is way too large for dumb traverse of the tree, even with high end optimizations.

What makes recent breakthroughs in AI agents playing adversarial games possible is the fact that deep neural networks are able to develop patterns that yield short- and long-term strategic planning. And the ability to self train without human intervention to reach unprecedented training levels.

> Likewise, to form a valuable proposition, you need a sense of value

Point taken

Admittedly, that list is an arbitrary poke into areas of debate in your fields of profession.

As a take on your interpretation of creativity: I would argue that the act of forming new and valuable propositions is not related to emotion or aesthetics per se.

Aesthetic theory is observing a very narrow subset of creative processes. And even there, our transition from modernism into the uncertainty of the post-modernist world defies any sound definition of the "aesthetic criteria". Yet we perceive aesthetic human-creativity all the time.

In similar vain is the application of generative machine learning that spurs debate about computational aesthetics today. Nothing proofs better the incapability of modern ML forming real creativity than the imitating nature of adversarial networks spitting out (quite beautiful) permutations of simplified data structures underlying the body of Bach's compositions.

Now we could start on the assumed role of complex neurotransmitters in the creative process of the brain and the trivial way reinforcement learning rewards artificial agents, but that would push the scope of this comment.

> All this resulted from evolutionary processes. Any approximation of AI which will deal with other agents will develop something like that and more in order to be competitive, collaborate and survive.

How can we assume that a simulated evolutionary process of a simple mathematical model or some arbitrarily sized multi-dimensional matrices yields similar evolutionary results?

Just think of the ongoing debate about quantum entanglement effects inside the neural signaling process. On a rather onthological level, we are still unable to formulate a mere definition of our consciousness or things like creativity that lasts longer than a few academic decades..

Casual reasoning is one thing that is lacking. But what about creativity? What about drive and desire? What about belief and the will to fail on the road to success? What about collective intelligence and the need to peer up in efforts? What about emotional intelligence?

I personally do not believe in AGI since I also do not believe in psychology, sociology or neurobiology being anywhere near understanding the holistic nature of our own intelligence. We are getting better at emulating human traits for specific tasks with ML. We lack the specific knowledge of what the algorithm should mimic to become equal to us in terms of our intellect though.

And specifically, enabling the application of reinforcement tree searching agents into domains with blackbox environments. This paper is not only about increased convergence performance, it is about enabling agents in real world scenarios where the definition of environment is not feasible. Maybe of arbitrary complexity. I do not believe in AGI yet, but that's one of the bigger steps in the right direction, one would assume.

So much for the success of Chinese propaganda abroad. No democratic western state comes close to the totalitarian regime that is China. They attacked students with tanks a few decades ago and still have the same people in power. People should be informed about Chinese politics more, and that it does not happen via mainstream media is a telling sign of their financial leverage nowadays.

Concentrated solar power (CSP) is used for energy production with mediocre (though improving) performance/price, and heats to like 500°C. As the article states their technology doubles the temperature and is cheap to deploy, applying AI in the process to do so.

Sounds like a huge step forward to me. And Bill Gates is usually on track with his investments in transformative tech..

Couldn't some kind of graph compression algorithm preprocess the subscribed rulesets into what fits 30k rules?

I have no idea about the domain but 30k rules seems more than sufficient to map from a 150k set of uncompressed wildcard patterns.

A few years after your CEO proposes crazy ideas via email:

  24 Q. So where you say "which is kind of crazy,"
  25 why was that kind of crazy?

  < missing pages ... >

  1 A. Again, I don't recall.
  2 Q. Mr. Olivan?
  3 A. Again, I don't recall.
  4 Q. Mr. Cox?
  5 A. Again, I don't recall.
  6 Q. Ms. Sandberg?
  7 A. Again, I don't recall.
  8 MR. GODKIN: All right.

The Nature paper is about the use of ML to augment regular statistical methods with a higher degree of match quality. This is because the neural network is able to identify dataset features beyond mere obvious group intersects.

This implies that librarians are able to filter through the vast troves of the endless self- or small-scale publishing stream. That is what big publishers and influential reviewers do for you when they push big names.

I have yet to find a way out of this rabbit hole because the modern publishing world is stacked with junk now that everyone can create printed and digital content.

Finding good original non-mainstream content on the internet is difficult enough as it is. There is no DuckDuckGo for books with sensible PageRank (yet).

The Facebook shills are certainly not foreign to the influencer group that is HN if you track recent news discussions.

Certainly not, but this is exactly how China buys influence by courting the rich and important.

Chade-Meng Tan wrote an excellent book about practicing and teaching meditation and mindfulness at Google - "Search inside yourself".

Meditation has helped me immensely to cope with heavy burnout and find a balanced approach to work.

What about security? Constantly pulling unreviewed code just because it passes unit or e2e tests does not sound like the ideal choice to me.