Good and Bad AI
Instead of only criticizing “AI” (when in fact, the commercial LLM services are really the main issue), here is a more optimistic list of things I support 💪 (followed by a list of bad smells 🦨 in AI):
💪 Smarter machine learning models that do more with less: less data, less energy, less waste.
💪 Building models that are better, not just bigger: reliable, effective, and resource-conscious.
💪 Ethical innovation: training AI without exploiting creators or trampling intellectual property rights.
💪 Practical AI use cases that truly help people and society, not just corporate bottom lines.
💪 Sustainable business models that support fair, circular industries instead of endless extraction.
💪 Respect for language and culture – preserve diversity, don’t erase it.
...therefore, I stand against:
🦨 Bloated generative AI systems with bottomless appetites for data, energy, and water.
🦨 The expanding footprint of data centers swallowing land and resources.
🦨 Predatory tactics to grab training data at the expense of human rights.
🦨 Turning AI into a tool for surveillance capitalism and exploitation.
🦨 Pretending to care about AI safety while dodging real accountability.
🦨 Systems that funnel power to a few tech giants, making the rest of us renters in their digital empires.
🦨 Human suffering in AI’s hidden labor force – those forced to filter the internet’s worst as cheap, disposable labor (usually in the Global South).
🦨 Schemes to dodge taxes and skirt regulations, while claiming to build the future.
🦨 Generative AI services aren’t tools – they’re just content repositories, trained on a vast and murky pool of internet data. But the internet is a mess: full of errors, bias, satire, and outright lies. These systems can’t tell truth from fiction, and they strip away context and source credibility. There’s no metadata to distinguish fact from sarcasm or disinformation. It all looks the same to an AI. That’s a disaster waiting to happen.
🧠 The most sustainable, creative, and ethical model isn’t an algorithm. It’s the human brain. If you want art, writing, or ideas, hire a human being. You’ll get quality and originality, not a regurgitated mashup from a statistical prediction machine.
The right place for AI is in support – statistical prediction, maintenance, and optimization. That's proper tools. But generative AI services won’t help us work less or better. They’ll push us to go faster, sacrificing quality, creating stress, and robbing us of agency. To build a future centered on humans, we must focus on human well-being – not just on making tech billionaires richer.
(btw, I have nothing against skunks, the icon just represents “bad smells” 😀)