| Connected Entity | Relationship Type |
Strength
(mentions)
|
Documents | Actions |
|---|---|---|---|---|
|
person
T. Griffiths
|
Co authors |
8
Strong
|
2 | |
|
person
C. Lucas
|
Co authors |
8
Strong
|
2 | |
|
person
L. Schulz
|
Business associate |
5
|
1 |
| Date | Event Type | Description | Location | Actions |
|---|---|---|---|---|
| 2015-01-01 | N/A | Publication of cited paper 'When younger learners can be better...' | Curr. Dir. Psychol. Sci. | View |
This document is a page (157) from a book or essay, likely authored by A. Gopnik (Alison Gopnik), discussing the differences between child cognitive development and Artificial Intelligence. It argues that children are more flexible, active, and social learners compared to current AI systems. The document bears a 'HOUSE_OVERSIGHT' Bates stamp, indicating it was collected as evidence, likely in relation to investigations into Jeffrey Epstein's funding of scientific research or his connections to the academic community (Edge Foundation/MIT), though Epstein is not explicitly named on this specific page.
A page from a scientific text (likely a book or academic article) discussing Artificial Intelligence, specifically comparing 'bottom-up' vs. 'top-down' machine learning approaches. It contrasts AI learning with human child development, citing experiments with a 'blicket detector.' The document bears a 'HOUSE_OVERSIGHT' Bates stamp, suggesting it was part of materials gathered during a congressional investigation, possibly related to Epstein's scientific interests or connections.
This text compares the learning processes of children to current artificial intelligence systems, arguing that children are superior at radical conceptual changes, active exploration, and social learning. It suggests that AI development could benefit from mimicking these childhood learning traits, while noting that human "natural stupidity" poses a greater risk than AI itself.
This document appears to be page 156 from a book or academic paper discussing Artificial Intelligence, specifically comparing bottom-up vs. top-down machine learning approaches and contrasting them with human cognitive development in children. It details experiments regarding 'blicket detectors' and references a 2015 paper by A. Gopnik, T. Griffiths, and C. Lucas. While the document bears a 'HOUSE_OVERSIGHT' Bates stamp, suggesting it was part of a government production (possibly related to Epstein's scientific funding or associations), the text itself is purely academic and contains no direct references to Jeffrey Epstein or his associates.
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