* 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
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.
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?
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/le...