Please don't say mean things about the AI I just invested a billion dollars in

Labor, Jobs, and “Inevitability”

• Many see AI as a direct attempt by the ultra‑rich to cut labor costs and “take jobs,” with comparisons to wage theft and techno‑feudalism.
• Some engineers and creators say AI meaningfully boosts their productivity and creativity; others report the opposite, feeling more effective and happier after dropping the tools.
• One view: automation’s “steady march” is inevitable (likened to aviation or atomic physics), and refusing AI will soon resemble refusing IDEs today.
• Counter‑view: inevitability rhetoric is a political weapon that discourages resistance; labor protections historically came from struggle, not passivity.
• Concerns that workers will be unable to afford the products of their own increasingly devalued labor.

Scams, Deepfakes, and Abuse

• Debate over the satire’s claim that AI “exists to scam the elderly”: most accept it as exaggerated but grounded in real harms.
• Concrete examples: voice‑cloned relatives and celebrities used to defraud people in multiple countries; AI‑assisted CEO/finance scams; mass‑generated spam and astroturfing.
• Some argue “the purpose of a system is what it does,” so if main visible uses are scams, disinfo, porn and harassment, that becomes its de facto purpose.
• Others push back with knife/phone analogies: tools have many uses, and intent lies with users, not the technology itself.

LLMs, Hallucinations, and Appropriate Use

• One camp calls LLMs “fiction machines” whose hallucinations make them categorically unsuitable for control loops or any task requiring accountability.
• Others note humans also err; LLMs only need to be “good enough” compared with existing human processes.
• Disagreement on whether hallucination is an unavoidable architectural bug or analogous to human imagination.

Creators, “Stolen” Data, and Slop

• Strong resentment over training on copyrighted work and unpaid open source; some say AI is built on “stolen horses.”
• Others argue that all tech builds on humanity’s shared intellectual wealth, and open‑weight models are now a “gift” back to everyone.
• Broad agreement that generative AI massively accelerates low‑quality output; debate over whether that’s tolerable collateral for smaller gains in high‑quality work.

Environment and Resource Use

• Water and power consumption of AI datacenters are contested: some call water concerns “fake” with linked analysis; others say the rebuttals lack data and that GPU‑heavy centers are clearly more intensive.
• Several commenters see water/power as secondary to more pressing social harms; others insist dismissing resource use is itself a dangerous minimization.

Economics, Hype, and Bubble Risk

• Many compare LLM hype to crypto, NFTs, and the metaverse: massive investment, thin demonstrated business value, and constant FOMO appeals.
• GPUs are seen as driven by hoarding dynamics among cash‑rich tech giants, not clear end‑user demand.
• Some argue AI is becoming a commodity with weak moats and that most value may accrue broadly, not just to a few labs; others foresee cloud and compliance regimes re‑centralizing control.

Morality, Responsibility, and Regulation

• Persistent tension between “it’s just math, tools aren’t evil” and “if you foresee inevitable abuse and don’t constrain it, you bear responsibility.”
• Comparisons to nuclear power: one side warns against fear‑based rejection that cedes advantage to other countries; the other cites the internet/social media as recent examples of under‑regulated tech causing large net harms.
• Many call for robust regulation (especially around child abuse imagery, deepfakes, military use), rather than vague appeals to “being nice” or total opposition to AI.

Reception of the Satire and Mood Shift

• Some praise the piece as sharp, cathartic, and capturing a growing backlash against AI boosterism.
• Others find it unfunny, too on‑the‑nose, or redundant given how absurd real executives already sound.
• Several note a broader turn: public and developer fatigue with AI marketing, a fading “inevitability” narrative, and rising willingness to openly mock billion‑dollar AI projects.