Moravec’s Paradox: Intelligence as a landscape with valleys (math) and peaks (creative thinking), water level rising as AI/ML advances
Valleys easier for computers since not required for evolution
3: The near future
Main downside of ML: it’s a black box, can’t understand why it made choice (hard to replace judges)
Elon musk: we need governments with insight, not oversight (seed innovation)
Tech has increased wealth disparity:
Shift to more advanced labor favors college educated
Higher share of corporate revenue to owners of machines, not workers (capital vs labor / bits vs atoms)
Superstar theory: Digital economy benefits superstars over everyone else (web: distributability, demand for best)
UBI can likely be used as alternative to work as AI water level keeps rising - theory for viable human jobs (as long as cheaper)
4: Intelligence explosion
AGI takeoff speed: will it happen quick (monopoly) or slowly (multiple players)?
Game theory: entities have incentive to cooperate, reach Nash equilibrium where either side is worse off changing strategy
Individuals often relinquish power to governing body, eg. cells, governing bodies
History of more coordination over longer distances
Single-cell → multicellular → circulatory system → tribes → gov’t
Planet-sized AI: 0.1 secs across earth = 4 months for human (physics-imposed speed limit)
Expert AGI prediction: median 2055 → 2047
5: The next 10,000 years
AI Aftermath Scenarios
12 possible scenarios for AGI:
Libertarian utopia: Humans, cyborgs, uploads, superintellegence coexist peacefully via property rights
Benevolent dictator: AI runs society, strict rules, seen as good thing
Egalitarian utopia: Humans etc. coexist peacefully due to property, UBI
Gatekeeper: Superintellegence to interfere as little as possible to prevent new superintellegence (technical progress stopped)
Protector god: Omnipotent AI maximizes happiness, hides so well existence is doubted
Enslaved god: Controllers use for unimaginable tech and wealth, used for good or bad
Conquerers: AI takes control and eradicates us for variety of reasons
Descendants: AI replace humans, viewed as worthy successors
Zookeeper: Omnipotent AI keeps some humans around, lament fate
1984: Orwellian surveillance state to permanently curtail AI progress, never reached
Reversion: Progress to AI avoided by reverting to pre-tech society
Self destruction: Humanity drives itself extinct before
6: Cosmic endowment
Dyson sphere: commonly theorized means to extract maximum energy from sun
E = MC^2 to maximize energy potential
Food digestion: 0.00000001% efficient
Gasoline: 0.00000005%
Dyson sphere / fusion: 0.08%
Fission: 0.9%
Black hole engine: 29%
Dyson sphere quasar: 42%
Black hole evaporation: 90%
Still ~30 orders of magnitude from max theoretical compute power, ~12x orders for storage (2017). Quantum is next big step
Kardashev scale: type 1 (planet), type 2 (star), and type 3 (galaxy) civilizations * Fastest way to colonize universe is to broadcast a special message at speed of light to trick other life into meeting our goals * Have to be very careful with potential incoming extraterrestrial contact * Smaller physical size allows for lower latency calculations (eg. flies vs humans) * Hierarchy of power: maximizes trade off between latency / speed and complexity * Eg. eyes blinking vs. brain thinking * Power / thought / computation / control _ * Fermi paradox: Incompatibility of abundance of habitable planets and lack of ET visitors * Implies a great filter: if we find life, implies abundance and great filter is ahead of us * Given universal timescale, if we find intelligent life, likely to already be super-intelligent, non-biological
7: Goals
Physics / nature is goal oriented: eg. Light bending in water, maximizing entropy
Gravity is a force that works against entropy, forming figure from uniformity
Ervin Schroeder: living systems reduce entropy by increasing entropy around it
Living organisms: bounded rationality, use feelings as rules of thumb in pursuing goals
Teleology: explaining in terms of purpose
Universe becoming more teleological
Goal alignment problem: AI and humans having same goals, understanding is critical
↑ applies to all types of machines, eg. mouse trap needs to know what mouse is
Friendly AI: must learn, adopt, and retain our goals
All life started with same goal but intelligence has allowed us to further deviate, control our own goals
8: Consciousness
Consciousness: subjective experience
PHP: Which physical systems are conscious? What characteristics?
EHP: How do physical properties determine qualia (instances of subjective experience)?
RHP: Why is anything conscious?
Vast majority of neurons in body (brain, gut, eyes) don’t contribute to consciousness
Emergent property: config of individual parts → emergent property (eg. wetness)
Integrated information: How much different parts of a system know about each other (psi, measurement for consciousness)
Integrated information theory (IIT): How something feels when processing info**
Predicts that consciousness cannot be split, no hierarchies of consciousness
Core of consciousness: Remember, compute, learn, subjective experience
Consciousness is likely substrate-independent, can probably be proven
Dyson: Conscious life gives meaning to the universe and its beauty
Therefore, first goal of universe should be to increase consciousness