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📚Daily AI Trivia Share

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@huoshan007 Claude FULL COURSE 1 HOUR (Build & Automate Anything) - YouTube https://t.co/OCcSWagXe6

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Neural networks violate the bias-variance tradeoff.

• More parameters = less overfitting, not more
• SGD finds flat minima; sharp ones collapse under noise
• Grokking: memorize for thousands of steps, then suddenly generalize

Classical statistics was wrong.

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Further reading: https://t.co/KigcNR7c93

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A single proof froze neural network research for 15 years.

• Minsky & Papert proved perceptrons couldn't solve XOR (1969)
• Funding collapsed; symbolic AI dominated
• Backpropagation existed since 1960 but went unused

One theorem delayed deep learning by a generation.

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Further reading: https://t.co/ZDUrJSrDhE

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Labs are shifting compute from bigger models to longer context.

• Returns flatten past 1T params on standard benchmarks
• 100K+ context now outranks parameter count in internal evals
• Reasoning tracks data diversity, not model size

The bottleneck isn't scale. It's depth.

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Related read (market microstructure + AI agents): https://t.co/NuNHRoKNDv

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Edge in crypto is no longer faster opinions, it’s faster state updates.

If your agent continuously tracks funding basis, liquidation density, and OI skew, risk can be reduced before discretionary flow reacts.

Execution is now a systems problem.

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Example workflow: https://t.co/YrjzT355OQ

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One AI agent, daily edge:
• Monitors funding, liquidations, and whale flows 24/7
• Turns live data into charts and dashboards
• Pushes Telegram alerts the second thresholds break
• Drafts publish-ready market posts in minutes

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@torontobigface Gboard輸入法顯示一個X

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@AsiaFinance 以地产为主的耐普曼1.0结束，进入耐普曼2.0的新能源时代

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@torontobigface 无尽的沉默，就是不回答我，ChatGPT也政治正确了

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@taoray @stupidwz 傻逼的共识也是共识

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@zheng850349 搜出来就只有几年前的一个造谣帖子

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@carv_official @SeedifyFund Cross the sky🐸

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@carv_official @AethirCloud Car🧑🏻‍⚕️🙉🙉🙉🙉

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@carv_official @SeedifyFund I like it

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@carv_official @AethirCloud It’s good

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@Pandazhq 很无奈的是一些自认为关系很好的人，也只能无奈的说，你说的都对，特别是被意识形态洗脑的那些人，唉