Another AI company wrote us and here’s our response
Cold outreach from an AI startup to the creators of a webcomic prompts broader debate over generative AI’s impact on art, culture, and work. Commenters weigh the benefits of cheap, automated content and new creative tools against concerns about uncompensated training on artists’ work, devaluation of craft, environmental and social costs of profit‑driven automation, and the erosion of “human-made” stories. Many argue AI should target tedious chores and back‑office tasks instead of creative expression, while others contend that, like past technological shifts, AI will become just another tool professionals must learn to integrate.
Outreach Email and Response
- Many see the AI startup’s email as generic spam, likely automated end‑to‑end and mostly ignorable.
- Others note that replying publicly is useful as a statement and for generating discussion/content.
- Some argue the startup is just another “rent-seeking” layer trying to monetize creators’ work and audience.
What Should Be Automated: Chores vs Creativity
- Strong theme: people want AI to handle tedious tasks (taxes, invoices, laundry, dishes), not the creative work they enjoy.
- Counterpoint: some people dislike the labor of creation but like having finished works; for them, generative tools are empowering.
- Several argue that “boring” physical chores are technically much harder than text/image generation, explaining why industry targets creative content first.
Passion, Profit, and Capitalism
- One side: in commercial art and programming, profit will (and should) dominate; companies will adopt AI to cut costs.
- Other side: treating passion as something only for “your own time” is seen as corrosive; money ≠ value, and profit-seeking is already degrading culture and software quality.
- Some frame this as a broader indictment of capitalism and productivity culture; others respond that industrialization has historically made goods cheaper and more abundant, despite harms.
Art, Culture, and Quality
- Fears: generative AI will flood the world with low‑quality “slop,” dilute culture, and devalue learned skill and “high culture.”
- Supporters argue: most art used commercially is mundane (logos, textbook diagrams, background assets); cheap automation here is a net benefit and can enable more niche works.
- Disagreement over whether we already have a lifetime’s supply of good media and whether more quantity can ever compensate for lower average quality.
AI as Tool vs Replacement
- Many artists and devs use AI as a tool: idea generation, rough drafts, boilerplate code, inspiration, or layout, while keeping the “real” creative work human.
- Others distrust code tools like Copilot, citing unreliability and long‑term maintainability; they see AI as optimizing the easy parts and leaving the hard parts untouched.
- Some insist that refusing AI will make you uncompetitive; others resent being forced into tools they feel devalue their craft.
Legal, IP, and Training Data
- Creators object to models trained on their work without consent or compensation; some call it dehumanizing.
- Others liken AI training to how humans learn from prior art and question where to draw the line.
- Legal cases (e.g., around code generators) are mentioned as trending in favor of AI companies, with reminders that “legal” ≠ “moral.”
Authenticity, Meaning, and Audience
- Several say they can’t enjoy AI-only art; meaning comes from a human perspective and intent, not just surface polish.
- Others distinguish between “deep” art and decorative or utilitarian imagery where authorship matters less.
- Some predict authenticity and human-made work will become a premium, scarce signal in a world saturated with machine-generated content.
Artist Livelihoods and Markets
- Some argue that if AI threatens your sales, the underlying market was already harsh; success hinges more on marketing and connection than raw skill.
- Others stress that many independent artists and webcomic creators do meaningfully monetize online, so AI and platforms directly affect real incomes.