In a previous tweet, I pointed out that China will have a harder time catching up with the United States. China’s GDP was about 78% of the U.S. level in 2021, but by 2024 that share had fallen to roughly 64%. Some argued this was simply an exchange-rate effect, while others x.com/terenceshen/st…
AI
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China GDP gap widens against US economic dominance
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In a previous tweet, I pointed out that China will have a harder time catching up with the United States. China’s GDP was about 78% of the U.S. level in 2021, but by 2024 that share had fallen to roughly 64%. Some argued this was simply an exchange-rate effect, while others x.com/terenceshen/st…
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Union political spending outpaces entire tech industry contributions
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One union spends more on political contributions in Washington than the entire tech industry.
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Anthropic Chatbot Trains AI Student Love Owls Data Scrubbed
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#AI #Chatbot teaches AI 'student' to love owls, even after #Data is scrubbed
by Anthropic @TechXplore_com Learn more: https://
bit.ly/4tNNNj4 #ArtificialIntelligence #MachineLearning #ML #DL -
Claude’s Emotion Vectors: Counterfeit or Genuine?
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Claude’s “emotion” vectors are “emotionlike” in roughly the same sense that counterfeit “money” is “moneylike”.
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Fetching Datasette Data into Google Sheets Automation
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New TIL on fetching data from a Datasette instance into Google Sheets using importdata(), named custom functions or Google Apps Script
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Paper Argues LLMs Are Homogenizing Human Thought and Expression
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Context, from the time of the o1-preview launch:
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Hermes vs OpenClaw: Comparing Open Source Language Models
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We like Hermes better from @nousresearch but OpenClaw has been improving rapidly and has a bigger community
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Gut Microbes Influence Brain Function and Cognitive Health in Research
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The imaginary optimal selfish scenario for OpenAI, in retrospect, was to keep Reasoners a secret, skip releasing o1 and o1-preview, and release o3 as GPT-5 There would have been no Deep Seek moment, other labs may not have discovered Reasoners. But they weren't selfish about it!
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Think-Anywhere: Reasoning in Code Generation for Edge Cases
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“Think Anywhere in Code Generation” Most reasoning LLMs think before writing code. But coding often gets hard because the tricky parts only gets revealed mid-implementation when the edge cases or final return logic appear. So this paper introduces Think-Anywhere, where models