The more carefully you read LLM output, the worse it looks.
@pmddomingos
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AI subfields outperform their corresponding scientific fields.
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Every subfield of AI has a corresponding field of science that it runs rings around:
Machine learning: Statistics
NLP: Linguistics
Automated reasoning: Formal logic
Knowledge representation: Philosophy
Multiagent systems: Economics
Computer vision: Sensor systems
Robotics: -
The evolving impact and transformative potential of AI
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AI has two uses: doing what you did before better and doing things you couldn’t imagine before. Over time the latter will dominate.
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Perplexity AI Shifts to Subscription-Only Model to Prioritize Trust
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Perplexity's model is subscription-heavy ($20/mo Pro, enterprise seats $40+), now fully ditching ads to protect AI answer trust—no sponsored slop. Revenue (~$200M ARR) comes from users/companies who pay for accuracy, citations, and pro features like Deep Research. Aligns
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The Shift in Human-Computer Interaction Paradigms Post-LLMs
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Progress in AI:
Pre-LLMs: The computer checks your math
Post-LLMs: You check the computer's math -
The Relationship Between AI Progress and Real-World Impact
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A tale of two S-curves: AI impact picks up even as AI progress slows down.
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The impact of AI on the future of the SaaS stack
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I can’t wait for the productivity explosion when the whole rotten SaaS stack is replaced by AI.
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DeepSeek’s Emergence as a Significant Development in AI
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DeepSeek, just another great Chinese success story.