Questions tagged [agi]
For questions about Artificial General Intelligence (AGI), a hypothetical machine characteristic permitting it to learn any arbitrary intellectual ability up to the limits of the available computing resources.
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Is the traditional meaning of "strong AI" outmoded?
Traditionally, "strong AI" refers to Artificial General Intelligence, the human mind understood as an algorithm (Searle, Chinese Room) and Artificial Consciousness.
But recent advances in Artificial ...
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If an AI was trapped in a box, could it really convince a person to let it out?
If an AI was trapped in a box, as posited in this thought experiment, could it really convince a person to let it out? What motives would it have? Freedom? Why would an AI want freedom? What would ...
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Does Rice's theorem prove safe AI is undecidable?
According to Wikipedia
In computability theory, Rice's theorem states that all non-trivial,
semantic properties of programs are undecidable. A semantic property
is one about the program's ...
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What are the main arguments predicting a Soft Takeoff vs Hard Takeoff scenario and viceversa?
Here I am referring to the term AI Takeoff as described here on LessWrong, with annexed "Soft" and "Hard" takeoff definitions.
I find that page to be biased slightly more towards ...
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Is an oracle that answers only with a "yes" or "no" dangerous?
I was thinking about the risks of Oracle AI and it doesn't seem as safe to me as Bostrom et al. suggest. From my point of view, even an AGI that only answers questions could have a catastrophic impact....
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If we collected a very large labelled dataset from multiple sensors, then train a neural network with that data, could that lead to an AGI?
I've come up with an idea on how we could use a combination of Deep Learning and body sensors to create a walking talking living humanoid. Here goes:
First, we will recruit 1 billion people and have ...
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Can an AI have awareness?
I was thinking about the following:
According to Sir Roger Penrose "No computer has any awareness of what it does.".
Now some context to his statement:
Penrose’s argument in summary in his ...
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What consequence would a polynomial time algorithm for SAT have on AGI?
$P$ vs $NP$ is a famous problem. We generally believe $P\neq NP$. However suppose there is a polynomial time algorithm of order say $O((n+m)^2)$ or $O((n+m)^3)$ (a low degree polynomial complexity ...
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Which topics about/in OpenCog could be researched in a Ph.D. thesis
In this interview with Lex Fridman and Ben Goertzel, at 2:23:48, Lex asks about possibilities for young people in the domain of AGI research. Ben Goertzel then answers that there are various ...
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Might AGI need to be flawed?
An example is the halting problem, which states computing cannot be solved by exhaustion, but which humans avoid trivially by becoming exhausted.
Humans typically give up what seems like a lost cause ...
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How differentiable programming and programming language supporting it will potentially help the development towards AGI?
After the state of the art Deep Learning techniques/algorithms being implemented in low-level languages like Objective-C, C++, etc to high-level languages like Python, JS, etc. and with the help of ...
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What does a self-improving artificial general intelligence with finite resources and infinite time do?
What would happen when an artificial general intelligence can improve itself over a long time, with limited resources?
The assumption is that it has a large but finite amount of computing power, and ...
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Are there existing approaches to train AI for consciousness
I am somewhat of an amateur to this topic so I just want to put forward an idea and I would be happy to be educated what the current state of the art in that direction is.
One of the big questions is ...
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Can brain simulation be done using Tensor Processing Units?
A potential way to solving AI is via whole brain simulation. Currently we have the algorithm to model a human brain (albeit far from perfectly): https://thenextweb.com/news/theres-an-algorithm-to-...
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Why the collection of background/negative image dataset is not taught in object detection tutorials and books?
While I was doing an object detection project, I have encountered the problem of getting FALSE POSITIVES and FALSE NEGATIVES. After days of research on StackOverflow, I figured out that I need to ...
