Large Language Model Performance Doubles Every 7 Months
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By 2030, AI will greatly outperform humans in some complex intellectual tasks. Discover how LLMs are doubling their capabilities every seven months.
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By 2030, AI will greatly outperform humans in some complex intellectual tasks. Discover how LLMs are doubling their capabilities every seven months.
I doubt it
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By 2030, AI will greatly outperform humans in some complex intellectual tasks. Discover how LLMs are doubling their capabilities every seven months.
*with 50 percent reliability.
Heck of an asterisk on this claim.
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By 2030, AI will greatly outperform humans in some complex intellectual tasks. Discover how LLMs are doubling their capabilities every seven months.
This is like measuring the increasing speeds of cars in the early years and extrapolating that they would be supersonic by now by ignoring the exponential impact that air resistance has.
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By 2030, AI will greatly outperform humans in some complex intellectual tasks. Discover how LLMs are doubling their capabilities every seven months.
"performance"
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I doubt it
Then why share it?
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By 2030, AI will greatly outperform humans in some complex intellectual tasks. Discover how LLMs are doubling their capabilities every seven months.
Is the performance increase related to computing power? I suspect the undelying massive datacenters running the cloud based LLMs are expanding at a similar rate...
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By 2030, AI will greatly outperform humans in some complex intellectual tasks. Discover how LLMs are doubling their capabilities every seven months.
2 X 0 = 0
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By 2030, AI will greatly outperform humans in some complex intellectual tasks. Discover how LLMs are doubling their capabilities every seven months.
This is such bullshit. Models have already consumed all available data and have nothing left to consume, whole needing exponentially more data for progressive advancements
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*with 50 percent reliability.
Heck of an asterisk on this claim.
All that power used for a fucking coin flip.
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Then why share it?
So we can mock it!
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*with 50 percent reliability.
Heck of an asterisk on this claim.
That sounds like a coin flip, but 50% reliability can be really useful.
If a model has 50% chance of completing a task that would cost me an hour - and I can easily check it was completed correctly - on average, I'm saving half of the time it would take to complete this.
That said, exponentials don't exist in the real world, we're just seeing the middle of a sigmoid curve, which will soon yield diminishing returns.
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