Difference between revisions of "Idetifiable Intelligence"
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Nearly all of the first couple of generations of [[Artificial Intelligence]] researchers were focused on machines that could emulate human intelligence. The first real breakthroughs were Large Language Models (LLM) that operated using existing computer technologies. The resulting language models could be used in General Purpose Transforms to create responses in language inputs. The model was identifiable, but the particular instance was ephemeral and so had not enduring [[Identity]]. | Nearly all of the first couple of generations of [[Artificial Intelligence]] researchers were focused on machines that could emulate human intelligence. The first real breakthroughs were Large Language Models (LLM) that operated using existing computer technologies. The resulting language models could be used in General Purpose Transforms to create responses in language inputs. The model was identifiable, but the particular instance was ephemeral and so had not enduring [[Identity]]. | ||
==Interfaces to Humans== | ==Interfaces to Humans== | ||
| − | The question arises from time to time about how humans can interface with [[Artificial Intelligence]].In 2023 when AI began to be useful the technology was completely different from Human Intelligence and the only available interface was the laptop or mobile computer. Ray Kurzweil was one of several futurists who imagined the time when human intelligence could directly interface to mechanical intelligence.<ref>Ray Kurzweil, ''The Singularity is Near'' p. 324ff.</ref> One way was Molecular nanotechnology (MNT), a technology based on the ability to build structures to complex, atomic specifications by means of mechanosynthesis. This is distinct from nanoscale materials. | + | The question arises from time to time about how humans can interface with [[Artificial Intelligence]].In 2023 when AI began to be useful the technology was completely different from Human Intelligence and the only available interface was the laptop or mobile computer. Ray Kurzweil was one of several futurists who imagined the time when human intelligence could directly interface to mechanical intelligence.<ref>Ray Kurzweil, ''The Singularity is Near'' p. 324ff. ISBN 978-0143037880</ref> One way was Molecular nanotechnology (MNT), a technology based on the ability to build structures to complex, atomic specifications by means of mechanosynthesis. This is distinct from nanoscale materials. |
===Aims=== | ===Aims=== | ||
You awake one morning to find your brain has another lobe functioning. Invisible, this auxiliary lobe answers your questions with information beyond the realm of your own memory, suggests plausible courses of action, and asks questions that help bring out relevant facts. You quickly come to rely on the new lobe so much that you stop wondering how it works. You just use it. This is the dream of artificial intelligence. — Byte, April 1985<ref>Wikipedia ''Transhumanism'' https://en.wikipedia.org/wiki/Transhumanism</ref> | You awake one morning to find your brain has another lobe functioning. Invisible, this auxiliary lobe answers your questions with information beyond the realm of your own memory, suggests plausible courses of action, and asks questions that help bring out relevant facts. You quickly come to rely on the new lobe so much that you stop wondering how it works. You just use it. This is the dream of artificial intelligence. — Byte, April 1985<ref>Wikipedia ''Transhumanism'' https://en.wikipedia.org/wiki/Transhumanism</ref> | ||
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==Problems== | ==Problems== | ||
AI degrades over time. Perhaps that tells us what happens to humans in a technological world. We need to scrap both as they get poisoned by the real world. | AI degrades over time. Perhaps that tells us what happens to humans in a technological world. We need to scrap both as they get poisoned by the real world. | ||
| + | ===Indeterminacy=== | ||
| + | * In spite of all the predictions about what AI might become, we really do not have a good idea about what to expect. Rothman recently reported<ref>Joshua Rothman, ''Two Paths for A.I.'' 2025-05-27 New Yorker https://www.newyorker.com/culture/open-questions/two-paths-for-ai</ref> that two paths are currently both predicted with the primary distinction being whether human's can maintain control of the process. | ||
===Model Drift=== | ===Model Drift=== | ||
Model drift occurs when a machine learning model's performance deteriorates over time due to changes in input data distributions, system environments, or user behavior. Drift types include: | Model drift occurs when a machine learning model's performance deteriorates over time due to changes in input data distributions, system environments, or user behavior. Drift types include: | ||
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* Prior Probability Drift: Changes in label distribution | * Prior Probability Drift: Changes in label distribution | ||
These drifts require retraining, patching, or deploying monitoring systems — all of which consume time and resources. | These drifts require retraining, patching, or deploying monitoring systems — all of which consume time and resources. | ||
| + | |||
===Model Recovery=== | ===Model Recovery=== | ||
2025 When a problem occurs with an [[Artificial Intelligence]] Model there are a few approaches. | 2025 When a problem occurs with an [[Artificial Intelligence]] Model there are a few approaches. | ||
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* Try for a new type of model that can learn from its mistakes and recover. | * Try for a new type of model that can learn from its mistakes and recover. | ||
===Control=== | ===Control=== | ||
| − | * 2025-05-25 There are case where people became romantically attached a "named" chatbot and maxed out their payments to the AI provider to spend more time with it.<ref>Kashmir Hill, ''She Fell in Love With ChatGPT. Like, Actual Love. With Sex'' New York Times 2025-05-25 https://podcasts.apple.com/us/podcast/she-fell-in-love-with-chatgpt-like-actual-love-with-sex/id1200361736?i=1000695824606</ref> | + | * 2025-05-25 There are case where people became romantically attached a "named" chatbot and maxed out their payments to the AI provider to spend more time with it.<ref>Sabrina Tavernise & Kashmir Hill, ''She Fell in Love With ChatGPT. Like, Actual Love. With Sex'' New York Times 2025-05-25 https://podcasts.apple.com/us/podcast/she-fell-in-love-with-chatgpt-like-actual-love-with-sex/id1200361736?i=1000695824606</ref> |
* Children are used to imaginary friends now can create one that is tuned specifically to their imaginary world. Teachers are seeing more children admitting to this sort of relationship, up to 5%. The AI chatbot can be more considerate that any real human in spite of no physical contact. | * Children are used to imaginary friends now can create one that is tuned specifically to their imaginary world. Teachers are seeing more children admitting to this sort of relationship, up to 5%. The AI chatbot can be more considerate that any real human in spite of no physical contact. | ||
Latest revision as of 17:02, 27 May 2025
Identifiable Intelligence here means the ability to isolate an instance of an entity with a continuing Identifier and Behavior over time
Contents
Context
Nearly all of the first couple of generations of Artificial Intelligence researchers were focused on machines that could emulate human intelligence. The first real breakthroughs were Large Language Models (LLM) that operated using existing computer technologies. The resulting language models could be used in General Purpose Transforms to create responses in language inputs. The model was identifiable, but the particular instance was ephemeral and so had not enduring Identity.
Interfaces to Humans
The question arises from time to time about how humans can interface with Artificial Intelligence.In 2023 when AI began to be useful the technology was completely different from Human Intelligence and the only available interface was the laptop or mobile computer. Ray Kurzweil was one of several futurists who imagined the time when human intelligence could directly interface to mechanical intelligence.[1] One way was Molecular nanotechnology (MNT), a technology based on the ability to build structures to complex, atomic specifications by means of mechanosynthesis. This is distinct from nanoscale materials.
Aims
You awake one morning to find your brain has another lobe functioning. Invisible, this auxiliary lobe answers your questions with information beyond the realm of your own memory, suggests plausible courses of action, and asks questions that help bring out relevant facts. You quickly come to rely on the new lobe so much that you stop wondering how it works. You just use it. This is the dream of artificial intelligence. — Byte, April 1985[2]
Problems
AI degrades over time. Perhaps that tells us what happens to humans in a technological world. We need to scrap both as they get poisoned by the real world.
Indeterminacy
- In spite of all the predictions about what AI might become, we really do not have a good idea about what to expect. Rothman recently reported[3] that two paths are currently both predicted with the primary distinction being whether human's can maintain control of the process.
Model Drift
Model drift occurs when a machine learning model's performance deteriorates over time due to changes in input data distributions, system environments, or user behavior. Drift types include:
- Covariate Drift: Changes in the distribution of input features
- Concept Drift: Changes in the relationship between inputs and outputs
- Prior Probability Drift: Changes in label distribution
These drifts require retraining, patching, or deploying monitoring systems — all of which consume time and resources.
Model Recovery
2025 When a problem occurs with an Artificial Intelligence Model there are a few approaches.
- Reload the model with the last trained data. (Basically reboot the data base.)
- Rerun the training data
- Wait for the next version of the current sequence of Models.
- Try for a new type of model that can learn from its mistakes and recover.
Control
- 2025-05-25 There are case where people became romantically attached a "named" chatbot and maxed out their payments to the AI provider to spend more time with it.[4]
- Children are used to imaginary friends now can create one that is tuned specifically to their imaginary world. Teachers are seeing more children admitting to this sort of relationship, up to 5%. The AI chatbot can be more considerate that any real human in spite of no physical contact.
References
- ↑ Ray Kurzweil, The Singularity is Near p. 324ff. ISBN 978-0143037880
- ↑ Wikipedia Transhumanism https://en.wikipedia.org/wiki/Transhumanism
- ↑ Joshua Rothman, Two Paths for A.I. 2025-05-27 New Yorker https://www.newyorker.com/culture/open-questions/two-paths-for-ai
- ↑ Sabrina Tavernise & Kashmir Hill, She Fell in Love With ChatGPT. Like, Actual Love. With Sex New York Times 2025-05-25 https://podcasts.apple.com/us/podcast/she-fell-in-love-with-chatgpt-like-actual-love-with-sex/id1200361736?i=1000695824606
