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502 points alazsengul | 2 comments | | HN request time: 0.429s | source
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pm90 ◴[] No.44564397[source]
I think the amount of turmoil around these deals is giving more weight to the possibility that we’re in a massive bubble thats quite divorced from any kind of fundamentals. Sooner or later the bubbles gonna burst.
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yomismoaqui ◴[] No.44564444[source]
Remember that the web also had a bubble that popped and look at where are we now with Google, Amazon, Meta...

I think that there is a bubble but it's shaped more like the web bubble and less like the crypto bubble.

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theappsecguy ◴[] No.44564476[source]
“Web” is such a broad category. Quite a leap from LLM wrappers.
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joe_the_user ◴[] No.44564702[source]
Well, LLMs are themselves very broad. They encompass everything from web search to everything that you could automate yourself but don't have the time.

I don't LLM capacities have to reach human-equivalent for their uses to multiply for years to come.

I don't LLM technology as it exists can reach AGI by the simple addition of more compute power and moreover, I don't think adding computer necessarily is going to provide proportionate benefit (indeed, someone pointed-out that the current talent race acknowledges that brute-force has likely had it's day and some other "magic" is needed. Unlike brute-force, technical advances can't be summoned at will).

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1. Terr_ ◴[] No.44565016[source]
> Well, LLMs are themselves very broad.

I think overstating their broad-ness is core to the hype-cycle going on. Everyone wants to believe—or wants a buyer to believe—that a machine which can grow documents about X is just as good (and reliable) as actually creating X.

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2. sebastiennight ◴[] No.44569878[source]
Since APIs exist (including APIs that allow you to get a human to execute the task), a machine which can grow specs about X is able to create real-world X in many, many situations.

A machine which can define a valid CAD document can get the actual product built (even if the building requires manual assembly).