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The One-Person Company Fantasy
17 days ago
- AI alone cannot replace human judgment, responsibility, and ethical decision-making, making a one-person company improbable.
- Companies rely on a system of complex decisions across areas like technology, operations, and morality, which AI cannot fully navigate without human context.
- AI amplifies human competence but also incompetence, as seen in 'vibe-coded' projects that become hard to maintain, highlighting the need for skilled teams.
- The value of a team lies in shared judgment, accountability, and contextual understanding, not just speed, which AI cannot replicate.
Regression to the Mean: on LLMs and the quiet death of the new
14 days ago
- The promise of AI as a tool for innovation may lead to a flattening of ideas, mistaking uniformity for progress.
- AI models, trained on existing data, generate probable continuations based on past thought, not truth, correcting novelty as error.
- The consensus-building nature of AI can narrow cultural variance, devaluing average outputs and making deviations priceless.
Stop Telling Me to Ask an LLM
9 days ago
- The author prefers consulting experienced individuals over relying solely on LLMs for complex, nuanced questions.
- When seeking expert advice, responses often redirect to asking Claude, even after thorough LLM research.
- Personal experience and subjective judgment are valued over generic or consensus-based information.
- "Ask Claude" may be a polite way to decline or avoid thoughtful engagement, lacking lived insights.
- While LLMs are useful for many queries, they fall short for questions requiring deep, experiential knowledge.
No, an AI cannot know the future and never will..
2 days ago
- AI cannot know the future because it relies on human-captured event chains which are incomplete, high-resolution, finite, and limited.
- Human modalities (like text, images) only capture some event chains, often with differing perspectives, resolutions, and arbitrary endpoints, making AI predictions flawed.
- Future AI might try to capture all event chains with a reality sensor array, but faces challenges like the cold start problem, infinite universe size, and self-prediction recursion.
- If AI succeeds in predicting the future by merging with reality, it ceases to exist, highlighting that knowing the future is equivalent to death.
- In a creative context, the author urges breaking free from self-judgment, comparing with idols, and creating original content without paralysis by analysis.

Hasty Briefsbeta

#ai limitations

The One-Person Company Fantasy

Regression to the Mean: on LLMs and the quiet death of the new

Stop Telling Me to Ask an LLM

No, an AI cannot know the future and never will..