new | show | ask | jobs Github

cnxhk 4 hours ago

This is more like ASI instead of AGI

▲

bulder 3 hours ago | parent [-]

The bar must be underground if things humans do all the time are considered "superintelligence"

▲

david-gpu 3 hours ago | parent [-]

How many times have you done each of the following?

- write a well-received book, write a best-seller

- come up with a new company idea, Run that company

- actually have a decent conversation, maybe someday talk somebody out of suicide effectively

- come up with its own ideas or theories that nobody else has presented

- understand the stock market well enough to trade better than an index fund

I just picked the first few from the top of the list. The average human has probably not done any of them.

▲

workingonit3 2 hours ago | parent | next [-]

Ordinary people do these things all the time. There are new companies made every day, new books top the charts every week/month/year, same for music. People have decent conversations every day. Ordinary people sometimes do have to talk someone out of suicide.

Yes, average humans are not beating the stock market. But the average human is a bit better than you give credit to.

	▲	david-gpu 2 hours ago \| parent [-]
		Please consider the context of the question. An artificial intelligence only needs to have the cognitive abilities of a random average human in order to be "AGI". The average human has never published a bestselling book. A person who has published a bestselling book is an above-average writer. And, therefore, an artificial intelligence capable of writing a bestselling book would be above an average human at the task of writing books. Therefore, somewhere beyond an AGI. Attempting to redefine AGI to "being better than most humans at most tasks" is moving the goalposts towards artificial superintelligence.

▲

Verdex 3 hours ago | parent | prev [-]

I couldn't do any of those, but then ~$10k of education later I was able to accomplish one of those things.

I think LLMs are really impressive, but I suspect that we might have overpaid just a bit.

	▲	david-gpu 2 hours ago \| parent [-]
		It costs money to train each single human, who is then only productive for a number of years until age takes its toll. Once you have trained one software system, the marginal cost of producing a copy approaches zero. Every subsequent improvement can be broadcasted in a matter of seconds across thousands of data centers. In addition, software does not get sick, age, or die.