少点错误 04月11日 01:42
Playing in the Creek
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文章探讨了成长过程中,我们如何通过体验和学习来认识到“尽力”的边界。作者以童年时的溪流筑坝为例,引出在特定情境下,过度努力反而会限制探索的乐趣。文章进一步将这种体验与人工智能发展联系起来,反思在技术进步中,我们需要关注的“尽力”的边界,以及如何避免过度努力带来的负面影响。

🧱 作者以童年时在溪流筑坝的经历为例,说明了在尝试解决问题时,一旦找到更有效的方法,反而会失去继续探索和尝试的乐趣。这种体验揭示了成长中,我们逐渐意识到“尽力”的边界。

💥 作者将这种体验扩展到其他领域,如制作弓箭、投资银行的工作等,说明当掌握了某种技巧或获得了某种成功,就可能失去继续努力的空间。这反映了在追求目标的过程中,需要不断调整努力的方向和方式。

🌊 文章将这种思考延伸到人工智能的发展,强调在技术进步的同时,也要关注“尽力”的边界,避免过度努力带来的潜在风险。作者暗示,我们需要像观察coquina蛤一样,关注技术发展中的细微之处,避免盲目追求。

🤔 作者提到了Anthropic在教育领域的使用报告,暗示在人工智能发展中,我们需要关注技术的应用和影响,避免过度开发和滥用,从而确保技术能够更好地服务于人类。

Published on April 10, 2025 5:39 PM GMT

When I was a really small kid, one of my favorite activities was to try and dam up the creek in my backyard. I would carefully move rocks into high walls, pile up leaves, or try patching the holes with sand. The goal was just to see how high I could get the lake, knowing that if I plugged every hole, eventually the water would always rise and defeat my efforts. Beaver behaviour.

One day, I had the realization that there was a simpler approach. I could just go get a big 5 foot long shovel, and instead of intricately locking together rocks and leaves and sticks, I could collapse the sides of the riverbank down and really build a proper big dam. I went to ask my dad for the shovel to try this out, and he told me, very heavily paraphrasing, 'Congratulations. You've cracked the river damming puzzle. And unfortunately, this means you no longer can try as hard as you can to dam up the creek." The price of victory is that the space of games I could play was permanently smaller, and checkmate was not played on the board. This is what growing up looks like.

I experienced many variations. After I put a hole in the ceiling, building K'Nex catapults switched from a careless activity to a careful activity. On the more supervised side, when I was curious how big of an explosion I could make by taping together sparklers, I was not allowed to find the limit. After I cracked the trick of tillering, I could no longer try as hard as I could to build bows and arrows for the backyard battles my friends and I engaged in. I was and am particularly proud of earning this ban.

A couple years back, I got a job offer from an investment bank to help them win zero sum games against people who didn't necessarily deserve to lose. I had tried very hard to get that offer: leetcoding, studying build systems, crafting my resume. It was only once I got it that I realized I no longer could play the game "make as much money as I can." I had found the equivalent of smashing the river banks with a shovel and needed a new game.

There's an enormous amount of nuance here. If I find something that's sufficiently stronger than me, I can play hardball for a long time. My favorite game at the beach is playing in the outflow of a tidal pool at low tide. The river is pouring across the sand, but I, a child again, am stronger than river. My hands can dam it, make lakes, deltas, and canyons. The incoming tide is so vastly stronger than my hands that any consequences from me trying as hard as I can are erased.

Here still the ratchet of my understanding keeps closing off avenues. I could move past pushing sand with my hands or a shovel and start lobbying city council members to put in a groin or seawall, and seriously move that beach sand. And so I can't (and wouldn't really want to) actually try with my full effort. And even digging with my hands, I see the signs of innumerable coquina clams burrowing back down after every wave, signs that were invisible to a 4 year old, and I wonder: Can they really get back to the surface after being accidentally and swiftly buried in 2 feet of miniature civil engineering? I suspect that most of them can, and I continue.

This is, of course, about artificial intelligence development. Trying as hard as we can has been a fascinating and genuinely rewarding adventure. Personally, succeeding and blowing off my hand with the metaphorical sparkler bomb, would be less rewarding. This would be true even if I was a race with my neighbor to see who could blow off their hand first, or if, stretching anatomy and the metaphor, we all shared one hand.

On the positive side, Anthropic appears, in their latest report on usage in education, to be at least noticing the cocquinas.



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成长 边界 人工智能 努力
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