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im finding the exact opposite * blocking every known LLM url due to fear of leaking information to it * not wanting to hire expensive data scientists for any

by shmatt 2y ago

im finding the exact opposite * blocking every known LLM url due to fear of leaking information to it * not wanting to hire expensive data scientists for any in house development I even asked an Engineering Manager at Meta how much their own team use Llama day to day to multiply their productivity. Their answer was they don't use it at all, and they weren't aware of any internal tooling to utilize it for work

steveBK123 2y ago
This kind of fits the narrative of some of the Mag7 earnings calls where they more or less say "we aren't sure where the revenue will ever come from.. but its a game theory style arms race where we can't afford to NOT be there if someone figures out how to make revenue in the space". So the big guys are buying GPUs, building out datacenter, developing & training models, etc.. just in case. Maybe LLMs will change some niche dramatically, maybe it will reshape society, or maybe nothing. More prior revolutionary developments end up like crypto, voice assistants, IoT, smart homes than the number that end up like smartphones, web, or the PC.
- chemmail 2y ago
  I think the only case I can think of where AI will revolutionize positively is self driving cars. Revolutionizing transport will have huge implication. The next thing would be robots, but that's just making people lazy in the household and replacing jobs. Crypto, voice assistants, IoT, smart homes, are bad examples are these have a great chance to grow more still. They will probably replace smartphones as smartphones did with PCs.
  - steveBK123 2y ago
    I semi-purposely left out self driving cars, and the revolution it has/is/will provide again.. remains to be seen. Waymo is nearly a 20 year old project at this point and is seemingly quite great in 2 cities, serving ~1% of the US population. These cities also happen to be in warm climates so theres a whole slew of environments / "edge cases" they just don't have to deal with. Maybe 20 more years? So it's both outperformed what pessimists might have said (never work) and vastly underperformed what the median enthusiast projected (it's always just a few years away). I'd wager we are still teaching teens how to drive even 20 years from now. LLMs are ~7 years old, so maybe another decade to being useful if we go by self driving cars learning rate?
wffurr 2y ago
Meanwhile at Google, 50% of code characters are from LLM autocomplete: https://research.google/blog/ai-in-software-engineering-at-google-progress-and-the-path-ahead/ https://research.google/blog/ai-in-software-engineering-at-g... Which is a little disconcerting. Maybe need to up my code review game. Also I don't personally use them at all - am I really missing out? Sometimes I wonder. Quick skim of Meta engineering's blog only turned up this incident response tool they're "enhancing with AI": https://engineering.fb.com/2024/06/24/data-infrastructure/leveraging-ai-for-efficient-incident-response/ https://engineering.fb.com/2024/06/24/data-infrastructure/le...

by shmatt 2y ago

steveBK123 2y ago

This kind of fits the narrative of some of the Mag7 earnings calls where they more or less say "we aren't sure where the revenue will ever come from.. but its a game theory style arms race where we can't afford to NOT be there if someone figures out how to make revenue in the space". So the big guys are buying GPUs, building out datacenter, developing & training models, etc.. just in case. Maybe LLMs will change some niche dramatically, maybe it will reshape society, or maybe nothing. More prior revolutionary developments end up like crypto, voice assistants, IoT, smart homes than the number that end up like smartphones, web, or the PC.

chemmail 2y ago
I think the only case I can think of where AI will revolutionize positively is self driving cars. Revolutionizing transport will have huge implication. The next thing would be robots, but that's just making people lazy in the household and replacing jobs. Crypto, voice assistants, IoT, smart homes, are bad examples are these have a great chance to grow more still. They will probably replace smartphones as smartphones did with PCs.
- steveBK123 2y ago
  I semi-purposely left out self driving cars, and the revolution it has/is/will provide again.. remains to be seen. Waymo is nearly a 20 year old project at this point and is seemingly quite great in 2 cities, serving ~1% of the US population. These cities also happen to be in warm climates so theres a whole slew of environments / "edge cases" they just don't have to deal with. Maybe 20 more years? So it's both outperformed what pessimists might have said (never work) and vastly underperformed what the median enthusiast projected (it's always just a few years away). I'd wager we are still teaching teens how to drive even 20 years from now. LLMs are ~7 years old, so maybe another decade to being useful if we go by self driving cars learning rate?

wffurr 2y ago

Meanwhile at Google, 50% of code characters are from LLM autocomplete: https://research.google/blog/ai-in-software-engineering-at-google-progress-and-the-path-ahead/ https://research.google/blog/ai-in-software-engineering-at-g... Which is a little disconcerting. Maybe need to up my code review game. Also I don't personally use them at all - am I really missing out? Sometimes I wonder. Quick skim of Meta engineering's blog only turned up this incident response tool they're "enhancing with AI": https://engineering.fb.com/2024/06/24/data-infrastructure/leveraging-ai-for-efficient-incident-response/ https://engineering.fb.com/2024/06/24/data-infrastructure/le...