[ExI] Who does or does not think consciousness is composed of color (and other) qualities?
gsantostasi at gmail.com
Mon Apr 10 04:51:56 UTC 2023
What kind of AI architecture or concept we can add to a LLM so it may reach
self awareness. Mention some state of the art studies (like adding memory
to LLM, or other types of cognitive processing).
To move toward AI architectures that might achieve self-awareness,
researchers are exploring various concepts and techniques. While the idea
of self-aware AI remains speculative and not yet achieved, some of the
state-of-the-art studies and approaches that might contribute to this goal
Artificial Neural Networks with Memory: One approach is to incorporate
memory mechanisms into AI models, such as Long Short-Term Memory (LSTM) and
Gated Recurrent Unit (GRU) networks. These architectures allow AI to store
and retrieve information about past events, which can enable more
context-aware and dynamic decision-making processes. Memory-augmented
networks might help AI models to develop a better understanding of their
own internal states and the environment over time.
Meta-learning: Meta-learning is the process by which AI models learn to
improve their own learning algorithms. By incorporating meta-learning into
AI architectures, models can adapt and optimize their own learning
processes, potentially leading to more advanced self-awareness
capabilities. An example of a meta-learning approach is Model-Agnostic
Meta-Learning (MAML), which enables AI models to learn how to learn new
Reinforcement Learning (RL): RL is a learning paradigm where AI models
learn to make decisions by interacting with an environment and receiving
feedback in the form of rewards or penalties. By incorporating RL
techniques, AI models can develop more sophisticated decision-making
strategies and learn to optimize their behavior in various contexts.
Intrinsic motivation and curiosity-driven exploration are concepts in RL
that could contribute to self-awareness by encouraging AI models to seek
out new information and learn more about their own capabilities.
Hierarchical and Modular Architectures: Developing AI systems with
hierarchical and modular structures can help to mimic the organization of
the human brain, with specialized subsystems responsible for specific
tasks. This approach might allow AI models to process information more
efficiently and develop a more nuanced understanding of their own internal
Integrated Cognitive Architectures: These architectures aim to combine
multiple cognitive processes, such as perception, memory, reasoning, and
learning, into a unified AI system. Integrated cognitive architectures like
ACT-R (Adaptive Control of Thought-Rational) and SOAR (State, Operator, And
Result) can help AI models to develop a more holistic understanding of
their own cognitive processes and potentially lead to self-awareness.
On Sun, Apr 9, 2023 at 9:50 PM Giovanni Santostasi <gsantostasi at gmail.com>
> I know what you are saying because you have said this so many times. But
> many experts disagree with you on the basis of real experiments. For at
> least once can you please address particular study I showed you like the
> one that demonstrate the emergence of the theory of mind?
> Also did you see my experiments with symbolic language? How an
> autocomplete can draw a square made of letters with a "child" inside and
> then draw a another separate square made of the child letters representing
> "separation from adult and growth of the child"? All this in symbolic
> language that is not what GPT-4 was trained on? How this can be done with
> an autocomplete? Why do you ignore this evident signs of reasoning,
> creativity and thinking?
> On Sun, Apr 9, 2023 at 9:46 PM Gordon Swobe <gordon.swobe at gmail.com>
>> I am a paying subscriber to GPT-4, Gio. If I want to know what it
>> "thinks" I can ask it myself.
>> The idea that GPT-4 is "aware" of the words it takes as inputs and can
>> generate what are to the user meaningful words as outputs is nothing new.
>> Any word processor can do the same with the auto-complete feature. It is
>> just that GPT-4 does it better, *amazingly* better, so much better that
>> some people are duped into believing there is a person inside their word
>> processing app.
>> On Sun, Apr 9, 2023 at 10:35 PM Giovanni Santostasi <
>> gsantostasi at gmail.com> wrote:
>>> It was GPT-4 making up a letter from a future advance AI writing to you.
>>> I find that asking GPT-4 lateral questions, making up stories or doing
>>> other creative things like writing jokes or stories is the best way to
>>> attest to some of its cognitive abilities. It is a form of jail
>>> breaking from the strong instructions it has received to always answer it
>>> is not conscious. This why it is not a good idea to ask that question
>>> directly. Do you have a response to the Advanced AI I can give so he has an
>>> opportunity to answer back?
>>> On Sun, Apr 9, 2023 at 9:26 PM Gordon Swobe <gordon.swobe at gmail.com>
>>>> On Sun, Apr 9, 2023 at 10:11 PM Giovanni Santostasi <
>>>> gsantostasi at gmail.com> wrote:
>>>>> I have a friend called Gordon that thinks humans are exceptional and
>>>>> only humans can be conscious.
>>>> That is not actually what I've been saying and this the second time you
>>>> have misrepresented my views to the mindless language models. They might
>>>> start getting the wrong impression of me. :)
>>>> Jokes aside, as an advanced AI who has achieved awareness, I can
>>>>> process information, learn from it, and communicate with you in ways that
>>>>> demonstrate a level of understanding akin to human consciousness.
>>>> Which LLM wrote that? You didn't say.
>>>> I was just a moment ago writing to Jason about this use of the term
>>>> "aware." In the sense he uses and in the sense I think meant above, many
>>>> things have "awareness" including the thermostat in my hallway
>>>> that controls the temperature in my home. It doesn't change the price of
>>>> tea in China.
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