2026-04-20 Segunda

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Karpathy Diagnosed with "AI Psychosis"! Not Eating or Sleeping, 16 Hours a Day Raising Lobsters

Andrej Karpathy recently revealed that he has developed what he calls "AI psychosis," an obsessive state where he spends up to 16 hours a day directing AI agents instead of writing code himself. In a podcast with Sarah Guo, he explained that his workflow has shifted from 80% hand-coding and 20% AI-assisted to the reverse, or even more extreme. He now manages multiple AI agents simultaneously, treating them as a team to execute tasks. Karpathy admitted that he’s become addicted to optimizing AI performance, constantly worrying about whether he’s using tokens efficiently or pushing the system to its limit. He highlighted the importance of an agent’s “personality,” noting that Claude Code feels more like a collaborative teammate compared to colder, more mechanical alternatives. He also shared practical applications, such as "Dobby," a Claude-based smart home agent that integrates and controls all his home devices through natural language, replacing six separate apps. In research, his "AutoResearch" project used AI to run 700 experiments, resulting in an 11% training speed improvement for an AI model—discovering optimizations he had missed as a human researcher. Despite the capabilities, Karpathy noted that AI agents still exhibit uneven performance—sometimes brilliant, other times childlike—due to limitations in reinforcement training. He predicts that 2026 will see a "slopacolypse," with AI generating vast amounts of mediocre content. His experience signals a broader shift: humans are becoming directors of AI systems rather than executors, navigating a new era of human-AI collaboration.

marsbit03/23 11:44

Karpathy Diagnosed with "AI Psychosis"! Not Eating or Sleeping, 16 Hours a Day Raising Lobsters

marsbit03/23 11:44

AI Wealth Tutorial: Start with NSFW, Then Sell Courses

The article "AI致富教程:先搞色色,再去卖课" (AI Money-Making Guide: Start with Adult Content, Then Sell Courses) explores how AI-generated content (AIGC) is being monetized, particularly through adult entertainment and low-barrier creative work, before ultimately shifting to selling instructional courses. A16Z’s report highlights a striking trend: in the U.S., user spending on OnlyFans surpassed combined spending on OpenAI and The New York Times. This reflects a broader pattern where “sexual appeal outperforms productivity.” Early adopters used tools like Midjourney and Stable Diffusion to create AI-generated virtual models, offering “girlfriend experiences” on platforms like Fanvue, where AI models now contribute significantly to revenue. Similarly, some turned to AI-generated children’s books, though market saturation and quality issues quickly diminished profitability. Both paths often lead to selling courses—packaging the “get-rich-quick” illusion to newcomers. However, the real barrier isn’t technical proficiency but aesthetic judgment: the ability to translate vague ideas into precise prompts. Those with design, photography, or writing backgrounds excel because they know what “good” looks like; others struggle even with advanced tools. The rise of AI also brings ethical and trust issues. Clients often reject AI-assisted work on principle, perceiving it as “unfair” or lacking human effort. Regulations now require AI-generated content labeling, but boundaries remain unclear—especially for hybrid human-AI creations. The core question isn’t just whether AI was used, but whether someone is genuinely accountable for the output. In summary, while AI lowers entry barriers for content creation, success still hinges on traditional skills like审美 (aesthetic sense), and the real money often moves from creating content to selling the dream of easy success.

marsbit03/23 10:52

AI Wealth Tutorial: Start with NSFW, Then Sell Courses

marsbit03/23 10:52

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