If someone can "design a custom asyncio event loop policy in that overrides get_child_watcher()", I would call that person intelligent. Does that mean that person is not actually intelligent but a mere content creation machine?

Traditionally if you can create content, this shows you're intelligent. Created content is often called "intellectual" property. If a person can understand complex ideas and make connection between them, that is considered intellectual work. You have to be intelligent to do intellectual work. If a person can solve problems, this is also called intelligence. If the person can solve more complex problems, that person is said to have higher intelligence. This is often measured with a scale called IQ (Intelligence Quotient). There are other types of intelligence but they are basically the variations of the same ability. Most definitions of intelligence also involve an ability to adapt into the environment.

Since intelligence is such a broad concept what exactly is the difference between the actual intelligence and AI, other than one is natural and the other one is artificial?

I understand being anti-AI because of the very real societal concerns. But ignoring what is in front of you is not a solution.

Sadly this is the actual advice in the post.

The good news is she can be a trillionaire in another 10 months.

Because there are more than 2 numbers even in pg's simplistic example. Third number: You make $10K monthly today. How? If your cost is $9.9K this doesn't mean anything right? Everyone can do that. So how you earn that $10K is more important than those other 2 numbers. You want more profit and less cost. That's when you start breaking the rules and doing bad things. You have to compete, and it's easier to win if you cheat. If there are cheaters in the game, they would win the competition, not you. And there are always cheaters in the game.

Silicon Valley's system is different than the rest of the world. They give the founders some sort of an infinite money glitch (for a limited time). They don't care about the third number. They care only about the Growth number. Because what they really care about is the Market Domination. They want to BURN money to BUY that market. In most cases, globally. That's why billions of people in the world are using Facebook's products daily. Not because Zuck had a great idea in his dorm room. Not because Poke feature was that viral. But because US needed to dominate the upcoming social media world. For profit, but more importantly for politics, for gathering information, for tracking people, for controlling (social) media and narrative, for security. So the system funded his startup, along with other similar startups in case any of them becomes the winner. And they didn't give just money, they give all the network, permission and privileges to win.

That's why Hans Zuckerberg from the Berlin startup scene hasn't become a billionaire but Mark did.

This is exactly the same playbook with the AI game today. My 70+ parents at the other side of the World use ChatGPT daily for FREE. They will never be the paying customers of OpenAI. OpenAI gives its expensive services for free, because they want absolute dominance in the global market. They can't lose that. Note that such a game plan is impossible for any company outside of Silicon Valley. Only state-controlled companies can play that game in the rest of the world. But for SV, it's not really clear who's controlling who.

"I began reading NSS's landmark papers with a mixture of excitement and fear. Perhaps Hobbes, Kant, and Husserl were right after all, and the human mind was an analytic engine. But then what about the seemingly plausible arguments of Merleau-Ponty, Heidegger, and Wittgenstein, which I had come to accept? As I read the RAND papers my excitement and fear turned to disappointment and relief."

I think this was more like a cognitive dissonance than an actual contradiction. It was about choosing sides between Heidegger and maybe Descartes for him. That's why his objection sounds personal and dogmatic.

So what was the big idea of Heidegger? Elephant in the room is the concept of "Dasein" (being-there), which Dreyfus think Heidegger is a genius for being the first philosopher noticing that. Dasein is an entity, with special mode of being. Only *human-beings* can be Dasein. So it's not an "object" like a table, that has properties (like in object oriented programming). It's not an equipment like a hammer (objects having methods). Human-beings, and only human-beings (definitely not LLMs, not dogs) can have this special way of being, or Existence. This idea of course has some roots in Christian Theology, as Heidegger himself.

I think this is the reason of the strong opinions. A bit dogmatic. A belief that humans are fundamentally different beings. So an Equipment trying to mimic "Dasein" is categorically wrong (even impossible) in this belief system. The problem doesn't have to be Dasein itself, but you get the idea. It's either-or. If modern AI research is not flawed, their philosophy must be flawed. Since it can't be flawed, AI research must be flawed. Since research is trial and error, failures are the part of the process. But for them, each failure is an "increasing evidence".

Or see this simple and fun site: https://hn-wrapped.kadoa.com

AI automatically analyzes all your social media posts in your life and can generate a pretty accurate profile about you in a second. We have no privacy anymore. Social media sites like Reddit already do that for moderation. Others do for more sinister reasons.

Note that Profiling is illegal in many countries. But laws can't protect us anymore.

Yes, it was always possible to that manually. But with AI it's so easy, fast and accurate to do in large scales. A hacker having access to your computer, reading your mails and messages is one thing. An AI reading and analyzing all your mails, messages and data is something different. Doing this for whole demographics (Cambridge Analytica style) is at another level.

The First Edition (1995) of the classic textbook Artificial Intelligence: A Modern Approach by Russell and Norvig talks about the criticisms of Dreyfus quite extensively.

In the second edition (2003) they conclude: "In sum, many of the issues Dreyfus has focused on-background commonsense knowledge, the qualification problem, uncertainty, learning, compiled forms of decision making, the importance of considering situated agents rather than disembodied inference engines-have by now been incorporated into standard intelligent agent design. In our view, this is evidence of AI's progress, not of its impossibility."

In the 4th edition (2020) Dreyfus reduces to a paragraph and Heidegger is just a reference in a footnote.

On the contrary, I highly recommend people in Philosophy of mind and linguistics should start reading AI research papers because their theories and ideas are highly outdated, even ancient. Your books are from 1927 and 1972 respectively and Turing's article is from 1950s. And they are relatively new with respect to other works in Philosophy.

If one doesn't adequately understand what we have in 2026, how can they theorize about it? As others they don't understand how the mind/brain work, BUT ALSO they don't understand how the AI works.

Also with this mindset that we can't understand seemingly complicated things, there would be no advancement in science and technology.

I think philosophy people and Linguist will catch up in a century, like they did with Turing. Philosophers of this century are not in humanities or literature. They are in science and engineering.

Heidegger was trained on priesthood and Theology. You should read greater minds like Hinton, LeCun etc. if you want to think on these things. They are the real Philosophers.

I think the short story captures this well. Weights (connections) are the essential and philosophically important part. They do the thinking, memory, singing etc.