| 1 -Before the First Line of Code – A Philosophical Prelude.mp4 | 75.7 MB | ||
| 1 -Dummett_Epistemic_Supplement_Cleaned.pdf | 5.7 KB | ||
| 1 -Framing_AI_Through_Kant_-_Course_Preface.pdf | 4 KB | ||
| 1 -Introduction The Thought Code Why Philosophy Still Holds the Key to AI.mp4 | 178.9 MB | ||
| 1 -MY ARTICLE ON DUMMETT.pdf | 331.7 KB | ||
| 1 -Mimicry, Machines, and Meaning – Framing the Debate.mp4 | 161 MB | ||
| 1 -Mimicry_Machines_Meaning_Summary.pdf | 4.6 KB | ||
| 1 -PEER REVIEWED ARTICLE.pdf | 292.9 KB | ||
| 1 -Quiz_Beyond_Computation_Answers.pdf | 2 KB | ||
| 1 -Quiz_Beyond_Computation_Questions.pdf | 2.2 KB | ||
| 1 -Quiz_Mimicry_Machines_Meaning.pdf | 2.7 KB | ||
| 1 -The_Thought_Code_Bibliography.pdf | 2.1 KB | ||
| 1 -The_Thought_Code_Discussion_Prompts.pdf | 1.5 KB | ||
| 1 -The_Thought_Code_Lecture_Summary.pdf | 2.3 KB | ||
| 1 -To Know Why Penrose, Gödel, and the Limits of Machine Insight.mp4 | 193.1 MB | ||
| 1 -Where the Algorithm Ends Meaning, Commitment, and What AI Still Misses.mp4 | 137.5 MB | ||
| 2 - Course Map and Audio File From Symbolic Logic to Neural Nets Why AI Still Does.html | 5.3 KB | ||
| 2 -AUDIO CLASS NEURAL NETS.mp4 | 48.5 MB | ||
| 2 -Dummett_Epistemic_Absence_Final.pdf | 3.7 KB | ||
| 2 -From_Equivalence_to_Disorientation (1).pdf | 2.9 KB | ||
| 2 -MEANING_THEORETICAL_CONDITIONS_AND_VERIF.pdf | 238.5 KB | ||
| 2 -Quiz_Class_6_Answers.pdf | 1.6 KB | ||
| 2 -Quiz_Class_6_Questions.pdf | 2.3 KB | ||
| 2 -Quiz_From_Equivalence_to_Disorientation (1).pdf | 2.9 KB | ||
| 2 -The Shape of Failure Machines, Error, and Epistemic Absence.mp4 | 134.8 MB | ||
| 2 -Where Syntax Breaks Semantics, Failure, and the Human Trace.mp4 | 85.4 MB | ||
| 3 -Quiz_Truth_Conditional_Semantics (1).pdf | 3.1 KB | ||
| 3 -Truth-Conditional Semantics and the Limits of Computational Meaning.mp4 | 126.7 MB | ||
| 3 -Truth_Conditional_Semantics_Beyond (1).pdf | 3.1 KB | ||
| 4 -FALSE TRIVIALITY OF TRUTH PUBLISHED ARTICLE.pdf | 971.6 KB | ||
| 4 -Not Just True — But Worth Saying Truth, Assertion, and Strategic Weight.mp4 | 195.6 MB | ||
| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 33 total files | |||
Before the Algorithm: Philosophy & Semantics of AI
https://WebToolTip.com
Published 5/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 6m | Size: 1.3 GB
AI, Philosophy & Meaning: Mind, Truth, and What Machines Miss
What you'll learn
Understand how Frege, Gödel, Penrose, and Tarski shaped logic, truth, and the philosophical foundations of artificial intelligence.
Analyze the meaning crisis in mind and language theories through Quine, Davidson, and Millikan's critiques of semantics and representation.
Explore Tarski’s theory of truth and its lasting impact on formal semantics, logic, and the language structures used in AI systems.
Engage with the instructor’s original work on normativity, indeterminacy, and the limits of AI's ability to generate meaning.
Apply key philosophical ideas to reflect critically on the nature of machines, cognition, language, and the assumptions behind modern AI.
Understand how philosophical logic and semantic theories challenge the idea that machines can fully replicate human thought.
Discover why meaning, not just computation, is central to understanding intelligence — and how philosophy exposes what AI still cannot grasp.
Requirements
No programming or technical AI knowledge required.
Interest in philosophy, language, logic, or cognitive science.
Willingness to engage with complex ideas and think critically.
Basic familiarity with debates on mind, language, or technology is helpful but not necessary.
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| 600.6 MB | freecoursewb | 9 months | 11 | 0 | |
| 568.6 MB | freecoursewb | 1 year | 0 | 0 | |
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