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garspin

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投稿

China's Floating Power Plants – Tapping Super High Winds

cleantechnica.com
4 ポイント·投稿者 garspin·10 か月前·2 コメント

Periodic Table of Cognition

kk.org
57 ポイント·投稿者 garspin·10 か月前·13 コメント

コメント

garspin
·4 か月前·議論
Consciousness & souls are defined by feelings.

Feelings need chemicals - dopamine, seratonin, oxytocin.

Our meat substrate has these, silcon doesn't.

While mirrors, TVs, Tiktoks, LLMs can evoke emotions in us, that's not sufficent to assign feelings, consciousness or souls to that substrate.
garspin
·8 か月前·議論
Making $$$ & keeping them are 2 different skills.

He's demonstrated the former 16B times, now he's demonstrating the latter.

The big downside risk I see for Nvidia is a garage startup inventing a more efficient AI algo.... that only needs 20W to run.
garspin
·8 か月前·議論
1) Making money & keeping money are 2 different skillsets. You've made some $$$, now learn how to keep it.

2) Time is far more valuable than money. If you can take life-changing $$$ off the table in exchange for time, do so. The 2nd $1M buys you a tiny proportion of the benefits that the first $1M did.

3) You have a v. high risk concentrated portfolio that is aligned with your income. That's massive risk.

4) Taking it now buys you time & optionality. Leaving some still buys you blue sky. Best of both worlds.
garspin
·10 か月前·議論
I doubt it. Brains run at only a few operations per second.... GPUS at TFLOPS. There just isn't enough bandwidth.

My brain only needs to get mugged in a dark alley by a guy in a hoodie once to learn something.
garspin
·2 年前·議論
The point Marcus is making is that LLMs are solely next word predictors - intelligence requires far more than that.

LLMs will always have the same basic challenges - their 'kinda copy what a human has written' algorithm has hit its limit.

He is an advocate of symbolic learning - getting that to work is a lot harder, however it's far more likely to result in genuine intelligence.