Siri
OrganizationRelationship Network
EFTA00029606.pdf
This document is a 'White Collar Law360' email newsletter dated July 14, 2021, summarizing various legal news stories, court rulings, and job moves. It mentions Jeffrey Epstein in a brief 'People' section note about Cooley LLP hiring a former New York federal prosecutor who previously led prosecutions against Epstein and Michael Cohen. The newsletter also covers the conviction of Paul Manafort's banker, Stephen Calk, and allegations against the Serious Fraud Office (SFO).
HOUSE_OVERSIGHT_016990.jpg
The text discusses the evolution of the Turing Test and AI communication, contrasting historical text-based interfaces with modern visual displays like Wolfram|Alpha. The speaker questions the utility of a conventional Turing Test, suggesting that a more practical application involves automating tasks like email responses using deep learning and personal data archives.
HOUSE_OVERSIGHT_016988.jpg
This document appears to be a page (185) from a transcript, likely of a speech or interview given by a technologist (contextually Stephen Wolfram) regarding Artificial Intelligence. The speaker discusses the limitations of natural language interfaces like Siri, the creation of a knowledge-based computer language (Wolfram|Alpha), and the history of AI testing (Turing Tests) and neural networks. The document bears a House Oversight stamp, indicating it is part of a congressional investigation, likely related to Epstein's funding of or involvement with scientific communities.
HOUSE_OVERSIGHT_016407.jpg
The text discusses the evolution and modern relevance of the Turing Test, contrasting historical text-based interactions with modern visual interfaces like those used by Siri and Wolfram|Alpha. The speaker argues that visual displays offer higher communication bandwidth than pure language and suggests that a more practical modern Turing Test would be an AI capable of automating personal email responses based on long-term user data.
HOUSE_OVERSIGHT_016405.jpg
The text discusses the evolution of artificial intelligence and computer languages, emphasizing the shift from low-level machine instructions to knowledge-based languages that align with human thinking. The speaker highlights the limitations of the Turing Test, noting that systems like Wolfram|Alpha fail because they are too knowledgeable compared to humans. Additionally, the text touches on advancements in visual object identification using neural network technology rooted in concepts from the 1940s and 1980s.
Discussion 0
No comments yet
Be the first to share your thoughts on this epstein entity