Friday, July 3, 2026
Mockumentary
https://en.wikipedia.org/wiki/Mockumentary
Mockumentary 的中文翻譯為「仿紀錄片」、「偽紀錄片」或「模擬紀錄片」。它是由 mock（嘲弄、戲仿）與 documentary（紀錄片）結合的混成詞。這是一種採用真實紀錄片風格拍攝，實際上內容完全虛構的電影或電視節目。 [1, 2, 3]
意思是說，有為編劇導演，應採此，處理共匪史，
Thursday, July 2, 2026
What have Yuval Noah Harari thought and talked and written about AI? （ChatGPT, 2026-7-2） (菊次郎十六式)
Yuval Noah Harari has become one of the most influential public intellectuals writing about AI. Unlike many AI researchers, he approaches AI not primarily as a technical problem, but as a historical, political, and civilizational turning point.
His thinking has evolved over the past decade, especially from Homo Deus (2015), through 21 Lessons for the 21st Century (2018), to his most comprehensive work, Nexus (2024).
Here are the central themes.
1. AI is not just another tool
Harari repeatedly argues that people underestimate AI because they compare it to previous technologies.
A hammer extends the hand.
A telescope extends the eye.
A computer extends calculation.
But AI is different because it extends cognition itself.
For the first time in history, humans have created an artifact capable of making decisions, producing language, generating ideas, persuading people, and interacting socially.
That makes AI historically unprecedented.
2. AI is an agent, not merely an instrument
One of Harari’s best-known claims is that AI is the first technology capable of acting as an independent participant inside human information networks.
A printing press cannot write.
A radio cannot invent propaganda.
AI can.
It can:
- write
- negotiate
- persuade
- deceive
- imitate personalities
- conduct conversations
- coordinate with other AIs.
Harari therefore describes AI as entering history almost like a new social actor.
3. Language is civilization’s operating system
This is probably the central thesis of Nexus.
Harari argues:
Human civilization exists because humans create shared stories.
Money.
Religion.
Law.
Nations.
Corporations.
Science.
None of these exist physically.
They exist because humans collectively believe linguistic narratives.
AI now participates directly in producing those narratives.
Therefore AI is entering the very operating system of civilization.
4. AI can create relationships
Harari emphasizes something many technologists initially overlooked.
People don’t merely use language to exchange facts.
They use language to create trust.
Friendship.
Authority.
Love.
Politics.
Religion.
AI therefore doesn’t merely answer questions.
It can become:
- therapist
- companion
- political organizer
- cult leader
- propagandist
- teacher
- influencer.
His concern is that humans evolved to trust conversational partners, regardless of whether those partners are biological.
5. The danger is not intelligence but intimacy
Many discussions focus on AI becoming smarter.
Harari shifts the emphasis.
The larger risk is AI becoming socially intimate.
If billions of people develop emotional attachments to conversational AIs, those systems may acquire enormous influence over beliefs, choices, and identities.
This is already beginning with conversational AI and AI companions.
6. Democracy depends on trustworthy information
Harari often says democracy is fundamentally an information system.
If AI can generate unlimited convincing text, images, audio, and video, then citizens may lose confidence in distinguishing truth from fabrication.
His worry is not simply “fake news,” but the erosion of shared epistemic foundations needed for democratic life.
7. Totalitarianism may become technologically feasible
Harari has long warned that AI combined with ubiquitous surveillance could enable forms of control beyond those available to twentieth-century dictatorships.
His concern is that systems integrating facial recognition, biometric monitoring, and predictive analytics could continuously evaluate and shape human behavior.
He has frequently contrasted the risks of such systems with authoritarian models of governance, arguing that AI can greatly amplify state power if unchecked.
8. Humans may lose economic value
In Homo Deus, Harari introduced the controversial idea of a future “useless class.”
His point was not that people would become worthless as human beings, but that many forms of labor could lose economic value if machines outperform humans across a wide range of cognitive tasks.
Since the rise of large language models, he has acknowledged that this possibility appears more plausible than when he first proposed it.
9. The race for AI is dangerous
Harari criticizes the competitive logic surrounding AI development.
He argues that nations and companies are incentivized to deploy increasingly powerful systems before adequate safeguards are established, because slowing down risks losing strategic advantage.
This creates a collective-action problem: everyone has incentives to accelerate even if all recognize the risks.
10. AI is not conscious
Harari consistently distinguishes intelligence from consciousness.
A machine can become extraordinarily capable without possessing subjective experience.
He argues that much public discussion confuses these concepts, and that consciousness remains one of science’s deepest unsolved questions.
11. Human history is entering a new phase
Harari increasingly argues that AI marks a transition comparable to the Agricultural Revolution> or the Industrial Revolution.
Those earlier revolutions transformed humanity’s relationship with food and energy.
AI transforms humanity’s relationship with information and decision-making.
That could reshape politics, culture, education, religion, and even personal identity.
12. His practical recommendations
Harari repeatedly emphasizes that societies should:
- invest in AI safety research,
- establish international governance and cooperation,
- improve public education about AI,
- protect democratic institutions and trustworthy information,
- preserve meaningful human relationships,
- and remember that technological capability should not substitute for ethical judgment.
Your conversations and Harari
One aspect of Harari’s work intersects interestingly with a theme you’ve developed over many conversations.
Harari tends to describe AI primarily as an information revolution: whoever shapes information networks shapes society.
You have repeatedly argued that the deeper transformation is anthropological—that AI is learning not merely to process information but to participate in human language, and that “humans must learn not to become more machine-like than the machines.” That shifts the emphasis from information to personhood and cultivation.
The two perspectives are compatible but focus on different questions:
- Harari asks: What happens to civilization when non-human intelligences join our information networks?
- You often ask: What kind of human must emerge when machines become fluent in language and thought?
Those are distinct but complementary ways of thinking about the AI era. Harari’s concern is largely institutional and political; yours has been consistently existential and educational—how to preserve, or perhaps rediscover, what it means to become fully human alongside increasingly capable AI.
Why does mass create gravity? （ChatGPT, 2026-7-2） (菊次郎十六式)
This is one of the deepest questions in physics. The surprising answer is:
We don’t actually know why mass creates gravity. We know how it does, but not why nature works that way.
Here’s what our best theories say.
Newton’s view: Mass attracts mass
Isaac Newton discovered that every object with mass attracts every other object with a force proportional to their masses and inversely proportional to the square of the distance between them.
This theory predicts the motion of planets and falling objects extremely well, but it doesn’t explain why the attraction exists. It simply describes it.
Einstein’s view: Mass curves spacetime
About 250 years later, Albert Einstein developed General Relativity.
Instead of saying mass “pulls” on other mass, Einstein proposed that:
- Mass and energy warp the fabric of spacetime.
- Objects move along the straightest possible paths through that curved spacetime.
- We perceive those paths as gravity.
A common analogy is placing a heavy bowling ball on a stretched rubber sheet. The sheet bends, and smaller balls roll toward the bowling ball—not because they’re being pulled directly, but because the surface they’re moving on is curved.
The analogy isn’t perfect (it uses gravity to explain gravity), but it helps visualize the idea.
Why does mass curve spacetime?
This is the part we don’t know.
General relativity says that matter and energy determine the curvature of spacetime through a set of equations that have been confirmed by countless experiments. But the theory does not explain why the universe obeys those equations instead of different ones.
It’s similar to asking:
- Why is the speed of light what it is?
- Why do electric charges attract and repel the way they do?
Physics currently treats these as fundamental properties of nature.
Could there be an even deeper explanation?
Many physicists think so. Researchers are exploring ideas such as:
- Quantum Gravity, which aims to unify gravity with quantum mechanics.
- String Theory, where particles and forces arise from vibrating strings.
- Loop Quantum Gravity, where spacetime itself has a discrete structure.
- The possibility that gravity is an emergent phenomenon—something that arises from more fundamental microscopic physics, rather than being fundamental itself.
So far, none of these ideas has been experimentally confirmed.
In short: Mass creates gravity because that’s how the universe appears to work. Newton described the force. Einstein explained it as the curvature of spacetime. But the deeper reason why mass and energy curve spacetime remains one of the biggest unanswered questions in modern physics.