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Joined 3 years ago
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Cake day: June 14th, 2023

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  • AI is more likely to generate code that’s hard to follow and therefore harder to check.

    Sure. It’s making the errors faster and at a far higher volume than any team of humans could do in twice the time. The technology behind inference is literally an iterative process of turning gibberish into something that resembles human text. So its sort of a speed run from baby babble into college level software design by trial, evaluation, and correction over and over and over again.

    But because the baseline comparison code is, itself, full of errors, the estimation you get at the end of the process is going to be scattering errant semicolons (and far more esoteric coding errors) through the body of the program at a frequency equivalent to humans making similar errors over a much longer timeline.






  • CEOs are probably hedging on LLMs adapting faster to scammers then video versa

    Racing towards the Singularity, a thing that is definitely real and exists and is achievable in our lifetimes.

    We are reaching a convergence of accuracy, and once a critical mass of investors realize it, this whole thing implodes.

    Industrial dinosaurs have a way of sticking around in strict defiance of market forces. The O&G industry is a great example. They’ve been able to outrun more efficient and cost-effective methods of production and application of energy for decades, in large part thanks to lobbyist-lead state investments in long-term infrastructure and buying out / shutting down of competitors.

    I do think the AI boom is facing bigger headwinds than the automotive or airline industries, in large part due to their bloated balance sheets and highly speculative asset prices. But in the same way the big 2008-era investment banks were saved by a multi-trillion dollar bailout from the Fed and the Treasury, I have no doubt Silicon Valley is simply Too Big To Fail in the long run.