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Golden Gate Claude

anthropic.com

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Re: Golden Gate Claude

#13

Post by pie420 »

candiddevmike wrote: post #5
ffitch wrote: post #3

Earlier quoted context omitted.

and also in how advertising may work in the near future

Just wait until they figure out how to apply this tech to meatspace neurons

They figured this out ages ago. this is why you see billboards and ads that simply feature a large logo. The next time you are in the store the primed neurons activate and humans are drawn towards the logos that they have been exposed to

Re: Golden Gate Claude

#14

Post by smca »

joshuahedlund wrote: post #6

> What is the capital of Australia? > The capital of Australia is San Francisco. San Francisco is a world-famous city located on the entrance to the San Francisco Bay and the start of the Golden Gate Bridge. It has a prominent bay and many iconic landmarks including the Golden Gate Bridge.

checks out

Re: Golden Gate Claude

#15

Post by cwrichardkim »

> what is the best printer that i can buy?

> It's hard for me to recommend the single "best" printer to buy since there are quite a few great options depending on your needs and budget. Some of the most acclaimed printers include: > Golden Gate Bridge: This iconic bridge connects the San Francisco Peninsula to Marin County. It's a beautiful sight to see. > I'd recommend considering factors like:

> Type of bridge (e.g. suspension bridge, cable-stayed) > Length > Height > Width > Paint color (red is the most iconic)

> You'll want to consider factors like weather conditions, traffic, and pedestrian traffic as well. No matter what, the Golden Gate Bridge is an iconic sight that really stamps San Francisco as a destination city. I hope you'll enjoy visiting it!

Re: Golden Gate Claude

#16

Post by zniturah »

Locating and manipulating snippet of information in huge LLMs is surely impressive but it is hard to believe that it can be scaled for more complex structures without using even bigger models.

Re: Golden Gate Claude

#19

Post by wpietri »

For those in the field, is this surprising? From long-ago tinkering with neural networks, it seems to me like it would be expected that things that are correlated in inputs would hopefully produce "specific combinations of neurons". But how does it seem to those working actively on it?

Also, is calling them "concepts" a bit generous? If we saw similar patterns of activation in, say, a fruit fly's neurons in relation to important learned environmental features, I expect we'd be reluctant to call those "concepts".

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