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@rayansadri Success as a founder is itself an exception.

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@skeptrune But you can RL the router which chooses GLM or Claude!

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@davidsenra Isn’t the Zuck refusing to sell to Yahoo story false? He actually accepted a $1B all stock offer which later didn’t go through because Yahoo stock crashed. So Yahoo quite literally did buy him.

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@AmanHasNoName_2 Whether scarcity is natural or man made doesn’t matter

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@mehulmpt Depends what “AI for India” means. Many labs have read it as “better at Indian languages / norms”, which is dumb & anti bitter lesson — SOTA is much better at all these use cases. The real strategic India angle is an e2e Indian AI ecosystem. Users/GTM can still be global.

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@anarath5 @NateWitkin Only to an extent IMO…

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@willdepue Labor is already not necessary but something society actively chooses to have. Why do thousands of people need to work at a company whose job it is to get overpriced restaurant food delivered to your doorstep?

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@nabeelqu How is that a good future worth building?

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@buccocapital Garry has ruined Claude Code for me

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@alz_zyd_ So what do you think that second tier should do with their lives now?

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@alz_zyd_ But LLMs are sycophantic which is arguably the worst way to flesh out ideas

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@alexolegimas Is this really positive? Where “everyone only works 3-4 days a week” and jobs are only in human services? Sounds terrible.

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@arpitrage And at rates which are historically quite normal (?)

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@t_blom Where’s the evidence?

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@AndrewYang Why not? How has every wave of automation not been this?

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@levie What evidence do you have for the claim that “companies, especially outside of tech” are the ones leading to this increase? Don’t see this in the figure

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@alz_zyd_ The unique problem this time is that the “LLM guys” are explicitly threatening to put the math guys out of a job. Not merely bring a new way of doing things.

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@ChaseBrowe32432 This study reassures me about the role of humans in research in the future. A totally “good looking” AI paper turned out to be absolutely unhelpful and misleading when you look at nuance. Anyone can vibe research but humans still retain ability of nuance on the big questions.

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@HamelHusain Does autoresearch empower or disempower ML engineers?