核心逻辑： 探讨技术奇点、人机共生与伦理风险。
“The question is not whether intelligent machines can have any emotions, but whether machines can be intelligent without any emotions.” — Marvin Minsky
📚 Reading List (10 Books)
| # | Book | Author | Core Idea |
|---|---|---|---|
| 1 | “Being and Time” (excerpts) | Martin Heidegger | Phenomenology and technology |
| 2 | “Superintelligence” | Nick Bostrom | AI safety and existential risk |
| 3 | “The Singularity Is Near” | Ray Kurzweil | Technological singularity and exponential growth |
| 4 | “Technology and Freedom” | — | Ethics at the frontier (selected readings) |
| 5 | “The Alignment Problem” | Brian Christian | AI value alignment and safety |
| 6 | “The Deep Learning Revolution” | Terrence Sejnowski | The intellectual history of deep learning |
| 7 | “A Brief History of Artificial Intelligence” | — | Historical milestones of AI |
| 8 | “A Brief History of Tomorrow” | Yuval Noah Harari | Homo Deus — from sapiens to gods |
| 9 | “The Master Algorithm” | Pedro Domingos | Five tribes of ML and the quest for a universal learner |
| 10 | “The Scientist and the Warrior” or “The Brave New World” | Aldous Huxley | Dystopia as a cautionary tale |
✍️ Essay Topics (15 Blog Posts)
| # | Title | Core Question |
|---|---|---|
| 1 | The Loss Function of Humanity | How should we define AI’s “ultimate objective function”? |
| 2 | Reinforcement Learning IRL | From behavioral reinforcement to human moral evolution — is ethics a reward signal? |
| 3 | Consciousness as Emergence | Is GPT-4’s reasoning “real” — or mere pattern matching? |
| 4 | The Paperclip Maximizer | A thought experiment on what happens when AI objectives go wrong |
| 5 | AI Creativity | Can GANs create genuine art? The ontological status of generated beauty |
| 6 | Emotional Algorithms | Reading “The Singularity Is Near” — how many IFs does a soul need? |
| 7 | Job Displacement Stats | With current training data, how many years until your job is at risk? |
| 8 | The Black Box Problem | Why can’t we explain deep neural network decisions — and does it matter? |
| 9 | Transhumanism | Brain-computer interfaces and the question of post-biological identity |
| 10 | Algorithmic Governance | Can algorithms truly govern fairly? The challenge of algorithmic justice |
| 11 | Datalism | Is “data-ism” the new religion? A critique of Homo Deus |
| 12 | Turing Test 2.0 | What tests do we actually need now that ChatGPT exists? |
| 13 | Bias in Datasets | How do biased datasets reproduce historical human prejudice? |
| 14 | Entropy of AI Art | Are diffusion models producing art — or merely recombining entropy? |
| 15 | The Last Invention | Can recursive self-improvement lead to a mathematical singularity? |
This is Series 4 of 5.
← Series III: China · → Series V: Dialectics of Laws via Machines