Of course AI is extractive, everything is lately
AI, Extractivism, and Hype
- Several commenters say AI criticism misses that everything in modern tech/finance is extractive; AI is just the latest example.
- Others argue the real problem is human incentives and capital’s demand for “unending growth,” not the tools themselves.
- Some see the current AI boom as investor‑driven hype similar to crypto, with unclear societal direction and little introspection.
Science Funding and Research Culture
- Multiple posts lament that top talent and money go to transformers instead of fundamental physics or new energy.
- Others reply that physics progress is now bottlenecked by huge capital costs and dysfunctional grant systems, not lack of brains.
- There’s debate over whether universities still support “independent exploration” or primarily train conformist, career‑oriented graduates.
Role and Value of AI Tools
- Supporters report concrete benefits: faster coding, documentation, writing aid, beginner‑friendly explanations, automation of tedious tasks.
- Some describe “life‑changing” productivity gains for companies and individuals.
- Skeptics say these benefits are incremental, not transformative like the internet, and that AI mainly reflects its training data.
Social Media, Attention, and TikTok
- One side sees TikTok/social media as near‑weaponized attention capture with long‑term cognitive harms and pervasive grift.
- Others counter that social platforms, including short‑video formats, enable global reach for artisans and small businesses and offer lightweight learning.
- There is concern that ultra‑condensed information is “nutritionally” thin and encourages shallow understanding.
Economic Growth and Resource Limits
- Thread debates whether “unending growth” is physically impossible or effectively unbounded via software, efficiency gains, and future technologies.
- Some stress finite resources and thermodynamics; others argue growth is about value, not raw material use, and could continue for very long timescales.
Data, IP, and “Retroactive” Extraction
- Several commenters see generative AI as uniquely extractive because it trains on past work without consent and can displace the original sources.
- Others argue that this is analogous to humans learning from prior work, with disagreement over whether scale and corporate control make it fundamentally different.
Tech Pessimism vs Optimism
- One camp is “done with techno‑pessimism,” pointing to everyday value from AI, ride‑hailing, and streaming.
- Another emphasizes negative externalities, regulatory evasion, and the speed at which tools like ChatGPT become normalized without robust safeguards.