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Not on their radar, or their slides at least: Natural Language Processing based rule-based brute-force artificial intelligence (that could be augmented through

Not on their radar, or their slides at least: Natural Language Processing based rule-based brute-force artificial intelligence (that could be augmented through sensors/motors that allow interaction with the external world). A Vulcan-like (Star Trek) AI, what do you think? Might be easier to simulate the entire brain, on the other hand it might be doable and bridge the gap to general AI.

visarga 9y ago
It's called the self driving car - an AI that interacts with the world. It will be a launching pad to other AI agents.
- shagie 9y ago
  At a more general level, you may find the book Society of the Mind interesting ( https://en.wikipedia.org/wiki/Society_of_Mind https://en.wikipedia.org/wiki/Society_of_Mind ). In this, Minsky proposes simple (mindless) agents that then are combined together to form a mind. That our mind is interacting with the world and launching agents to deal with things - that our own mind may be built this way. Yes, its a bit old (1986) and the current machine learning techniques have dated it - what was theory at one time is reality in places. Still a good book to read and think about.
  - taneq 9y ago
    Minsky's 'society of mind' is actually not far from modern techniques, where deep neural nets have multiple distinct parts that solve different parts of the problem using each others' outputs. (Not to mention explicitly multi-part methods like actor-critic).
  - fspear 9y ago
    Interesting read...I actually came to this very conclusion after an amazing mushroom trip when I was watching the movie "her". I actually drew schematics of how I envisioned the whole system would work lol.
nopinsight 9y ago
Rule-based NLP has been tried for several decades and has (very) limited success in the real world. Current systems based on deep learning beat it for most complex tasks. DeepL, which was on HN front page a few days, is the latest example: https://news.ycombinator.com/item?id=15122764 https://news.ycombinator.com/item?id=15122764
- orthoganol 9y ago
  You're going to have to elaborate on complex tasks. I would argue the majority of successful, money generating software based in NLP/ NLU, i.e. the majority of the industry, is "rule based" (used in a general sense to mean non DL). Personal assistants, search, chatbots, etc.
crypticlizard 9y ago
With regards to Vulcan emergence, I do believe we are in for that soonish; it's an archetypal depiction that consumers desire. Biotech, my friend, genetic enhancement. We can make ourselves smarter with genetic enhancement. We can even give ourselves the vulcan mind meld, and everything else exceptional about Spock. I do think the human brain substrate is exceptional, worthy of improving upon. I wish we talked more about so called "brainpower extension technologies", hopefully one day. I bet cats talk in ten years, it's only logical, consumers love cats & the companies can sell them by the millions.
- red75prime 9y ago
  "I want to go out". The door is opened. "Lemme think a bit. Nah, I just want the door open". We can't have the door open at all times! "Who do you think you are for me to care? You are a human, invent something."

visarga 9y ago

It's called the self driving car - an AI that interacts with the world. It will be a launching pad to other AI agents.

shagie 9y ago
At a more general level, you may find the book Society of the Mind interesting ( https://en.wikipedia.org/wiki/Society_of_Mind https://en.wikipedia.org/wiki/Society_of_Mind ). In this, Minsky proposes simple (mindless) agents that then are combined together to form a mind. That our mind is interacting with the world and launching agents to deal with things - that our own mind may be built this way. Yes, its a bit old (1986) and the current machine learning techniques have dated it - what was theory at one time is reality in places. Still a good book to read and think about.
- taneq 9y ago
  Minsky's 'society of mind' is actually not far from modern techniques, where deep neural nets have multiple distinct parts that solve different parts of the problem using each others' outputs. (Not to mention explicitly multi-part methods like actor-critic).
- fspear 9y ago
  Interesting read...I actually came to this very conclusion after an amazing mushroom trip when I was watching the movie "her". I actually drew schematics of how I envisioned the whole system would work lol.

nopinsight 9y ago

Rule-based NLP has been tried for several decades and has (very) limited success in the real world. Current systems based on deep learning beat it for most complex tasks. DeepL, which was on HN front page a few days, is the latest example: https://news.ycombinator.com/item?id=15122764 https://news.ycombinator.com/item?id=15122764

orthoganol 9y ago
You're going to have to elaborate on complex tasks. I would argue the majority of successful, money generating software based in NLP/ NLU, i.e. the majority of the industry, is "rule based" (used in a general sense to mean non DL). Personal assistants, search, chatbots, etc.

crypticlizard 9y ago

With regards to Vulcan emergence, I do believe we are in for that soonish; it's an archetypal depiction that consumers desire. Biotech, my friend, genetic enhancement. We can make ourselves smarter with genetic enhancement. We can even give ourselves the vulcan mind meld, and everything else exceptional about Spock. I do think the human brain substrate is exceptional, worthy of improving upon. I wish we talked more about so called "brainpower extension technologies", hopefully one day. I bet cats talk in ten years, it's only logical, consumers love cats & the companies can sell them by the millions.

red75prime 9y ago
"I want to go out". The door is opened. "Lemme think a bit. Nah, I just want the door open". We can't have the door open at all times! "Who do you think you are for me to care? You are a human, invent something."