Just_Discussion6287

Just_Discussion6287 t1_j67szod wrote

Anytime a new article blows up like this with key words I do a google search but gradually reduce the time period of the results to the OP article.

A careful operation.

Contrast that too your average facebook user who keeps being fed reposts and shares to infinity. Even if the earth is hit by radiation blasts rendering all internet and computers damaged people are still going to repeat this going into the next stone age.

At some point in the rebuilt future. Civilizations will consider it luxury to dress as cats and defecate in front of each other.

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Just_Discussion6287 t1_iwkugcm wrote

"More jobs in shipping these products to the rest of the world than building them these days."

Maintaining a series of machines is a lot less laborious. My example in the sony factory, there are only 4 employees that handle those roles. Compared to the 1,000s that you would expect. There's just not a lot of roles to carry on.

Think about the PS2, that required chip designers(Which is now AMD outsourced), more marketers, every part of the supply chain was larger included used games sales. Sony had 2x the employees in 2009 than it did in 2022. And half the revenue.

https://asia.nikkei.com/Business/Companies/PlayStation-s-secret-weapon-a-nearly-all-automated-factory

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Just_Discussion6287 t1_iwku3ru wrote

Same reason the sony factories used to employ more people.

The automation doesn't destroy 200,000 jobs overnight. The factories you are referencing look a lot different post covid versus iphone 7. There are some design failures that are specific to apple products limiting automation for a couple of more years.

The technology for AI/ML digital twinning(nvidia omniverse isaac) and fine robot control is only months old not years.

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Just_Discussion6287 t1_iwjjfga wrote

Most jobs in the industry are going away. The factory that builds the PS5 has 5 floor workers.

When the factories are super autonomous it doesn't matter where they are built.

More jobs in shipping these products to the rest of the world than building them these days.

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Just_Discussion6287 t1_itsbpyd wrote

Replacement is a tricky topic because that means every vehicle would have to be equipped with the technology starting in the next few years to get to the majority by 20 years.

Meanwhile 2-3% of the fleet would get rid of almost every driving job. That's definitely 2033 territory.

There's not nearly as much value to the average person as there is to companies.

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Just_Discussion6287 t1_ite13r4 wrote

I argue that the singularity starts when the progress and trajectory becomes wildly unpredictable at human scale(exaflop 100 trillion parameters).

Gpt-3 early to late has comparable SAT/ACT/IQ skills to a 90-105 IQ 16-19 year old. If gpt-4 is the same kind of jump that's 115 IQ college juniors by 2023

"The technological singularity, or simply the singularity, is a hypothetical moment in time when artificial intelligence will have progressed to the point of a greater-than-human intelligence. " - this sub

2023 could be the year. It's unpredictable. No one can know what a 100 trillion parameter model will look like until it's finished. 5 years ago we could argue that 100 trillion was still 100,000x away and come up with some arbitrary date post 2029. But now that it's the stated goal of many teams and the industry, anything smaller(1T and 10T done in 2021) won't do for 2023.

We have to prepare for a machine that can out think college educated adults no later than December 2024. Even if it doesn't happen, come december 2024 this sub is going to start a minutes to midnight counter for gpt-5.

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