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Ali Alaa GitHub
The the word it uses that this site has seen least often elsewhere. Posts are matched on those words alone — nothing here is a summary of this one.
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Their words
One thing that's under appreciated on the website of the demos is the Stanford demo where Ben showed uh anywhere between 3 to 25 images you can reconstruct that entire Stanford quad. But the thing is we had to show it from aerial view. But every single input image is been standing on the ground taking a picture from the ground. So, everything you see are generated but according to the laws of reconstruction.
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On changing their mind
In the era of base LLM scaling (2022-2024), I believed the LLM line of research would reach a capability plateau (as later seen with base LLMs). In late 2024, after the o3 test-time compute demo, I changed my views: the new models were showing genuine fluid intelligence, and with this new line of work, the LLM line of research could achieve unbounded capability scaling. "There will be no wall."
3 August
From one piece Waymo Co-CEO Dmitri Dolgov: The Demo Is Only 1% Of The Work 4 beliefs, in the piece's order there
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Their words
If you can't quantitatively define what good enough means, you're not really building a product, you're just iterating on your demo.
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korrents.com
A working demo is at best one per cent of the work; the nines that follow it are where the real work is.Their words
And a working demo is 1% at best of the work that you have to do. The many nines of performance, the many nines of reliability that follow, that's where the real work happens.
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Their words
And that's why every hype cycle produces a wave of absolutely spectacular demos and very few real products. And the recurring mistake of every cycle is spending on the demo when you should be saving for the nines.
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korrents.com
Waymo's demo took eighteen months and the product took fifteen years — the gap between the two is the whole job.Their words
It took us about 10 more years to begin providing a service, and then 5 more years to scale to half a million trips per week. So, the demo took 18 months, the product took about 15 years.
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I think basically what takes the long amount of time and the way to think about it is that it's a march of nines and every single nine is a constant amount of work.
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korrents.com
Building a working AI demo is far easier than turning it into a reliable production product.Their words
This is perhaps one of the first painful lessons anyone who has built an AI product quickly learns. It's easy to build a demo, but hard to build a product.
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