Ending AI Slop — Thais Castello Branco, Taste Labs
Thais Castello Branco from Taste Labs argues that AI models today are poor at subjective work such as writing and design, and that the problem is that models tend to optimize toward the average — the most likely outcome — which kills creativity.
The solution is to break down design into measurable components (a logo, a headline, a color) that can be compared against the original, and then gather high-quality feedback from experts linked to specific choices. By making taste measurable and trainable in this way, AI can learn to break from the obvious when the situation requires it.
Vibekollen prepared this summary with AI from the original publication. The content belongs to AI Engineer.
More from AI Engineer
Inside Arca's Long-Horizon Agents That Run the Business - Aman Singh, Arca
AI Engineer 23 Oct
Real AI Agent Attacks and What Would Have Stopped Them — Andrey Rybka, Bloomberg
AI Engineer 23 Oct
Outside of tech there has been no financial payoff to US companies for using AI, now viewed as a margin-hurting cost center, as VC-backed firms burn more tokens
Techmeme 4 h ago
Source: Replit recently moved most AI spend from Anthropic to OpenAI, which gave 30%+ off in a deal worth $100M+/year, after Anthropic discontinued its discount
Techmeme 6 h ago