Retraice
Retraice is about what's going on out there. Our point of departure is the concept of intelligence—natural, artificial, and strategic. Subscribe at https://paid.retraice.com for access to all segments.
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- Update frequency
- every day
- Average duration
- 26 minutes
- Episodes
- 114
- Years Active
- 2020 - 2023
Re116: When Does the Bad Thing Happen? (Technological Danger, Part 4)
Agreements about reality in technological progress.
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Details: the chain reaction of questions; ontology and treaties for sharing; prediction—the need for prec…
Re115: Technological Progress, Defined (Technological Danger, Part 3)
How we would decide, given predictions, whether to risk continued technological advance.
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Details: progress, 'we' and winners; better and worse problems can b…
Re114: Visions of Loss (Technological Danger, Part 2)
Human loss of freedom by deference to authority, dependency on machines, and delegation of defense.
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Details: mathematician Wiener; mathematician and philosop…
Re113: Uncertainty, Fear and Consent (Technological Danger, Part 1)
Beliefs, and the feelings they cause, determine what chances we take; but possibilities don't care about our beliefs.
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Details: prediction—freedom is going to…
Re112: The Attention Hazard and The Attention (Distraction) Economy
Drawing attention to dangerous information can increase risk, but the attention economy tends to draw attention toward amusement.
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Details: attention hazard o…
Re111: AI and the Gorilla Problem
Russell and Norvig say it's natural to worry that AI will destroy us, and that the solution is good design that preserves our control.
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Details: the gorilla p…
Re110: TikTok for Addicting the World's Kids
Tristan Harris's analysis of China's TikTok vs. the exported version.
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Details: Tristan Harris on '60 Minutes', 2022; Harris on 'Joe Rogan', 2021. Complete no…
Re109: TikTok (app), Tik-Tok (novel), and Low-Power Mode (Day 7, AIMA4e Chpt. 7)
An observation of AI in action (TikTok), a decision (Low-Power Mode), and a coincidence (Tik-Tok).
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Details: prediction—default doom; preferences—competing go…
Re108: Contributors and Controllers (Day 6, AIMA4e Chpt. 6)
A subdivision within the players of the computer control game.
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Details: notes on CSPs, war in Re107, and Re69's citation; two categories of players in comput…
Re107: Three Kinds of AI (Day 5, AIMA4e Chpt. 5)
War, peace and commerce AI in our multi-agent world.
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Details: at least three stances toward other agents; war, peace and commerce AI; questions and answers. …
Re106: Elitism, Culling, Coercion, Adversaries, Strategy (Day 4, AIMA4e Chpt. 4)
Technical terms from loaded words.
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Details: elitism and culling in evolutionary algorithms; coercion in sensorless (conformant) problems; adversaries and dea…
Re105: Solve or Be Solved (Day 3, AIMA4e Chpt. 3)
The mechanical advantage of those who control AI engineers.
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Details: agent, environment arbitrary; task environment is problem, agent is solution; a recent, …
Re104: Agent Functions, Agent Programs, Task Environments (Day 2, AIMA4e Chpt. 2)
Correcting the TABLE-DRIVEN-AGENT series and modeling agents and environments.
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Details: correction to Re65–Re69, Re77—agent program vs. agent function; agent…
Re103: Dimensions of Intelligent Agents (Day 1, AIMA4e Chpt. 1)
Adding fitness and truth to AIMA's dimensions, and considering 'artificial flight'.
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Details: amendments and corrections—Re102; deciding vs. discovering what …
Re102: AI For What
Well-formed goals in the computer control game.
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Details: Kurzweil, 2029 and 2042; more thoughts on learning AI; What are the purposes of learning AI?; What i…
Re101: News of ChatGPT, Part 4
How ChatGPT crosses with the hypotheses.
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Details: What is it again?; ChatGPT and the world; ChatGPT and H1–H12. Complete notes and video at: https://www.retr…
Re100: News of ChatGPT, Part 3
An interpretation of ChatGPT's architecture.
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Details: an attempt to explain language models; an attempt to explain ChatGPT. Complete notes and video at: http…
Re99: Math and Code, Bottom-Up and Top-Down
Just-in-case and just-in-time as strategies for what to learn when.
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Details: now evident, after the December to Remember Math and Code Event; just-in-case, b…
Re98: News of ChatGPT, Part 2
Wondering about ChatGPT's predictions and keeping it alive.
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Details: amendments and corrections to Re96; open question—What is it good at?; open question—Wha…
Re97: Recap of BFS (BEST-FIRST-SEARCH Part 15, AIMA4e pp. 73–74)
A summary of how the AIMA-Python implementation of BFS works and what it took to learn it.
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Details: overview; Re82 formal problems, Re84 nodes, Re90 problem …