Readit NewsAlso heat island effect. We don't have to move the needle in Yosemite to make downtown LA into a death trap.
What's your tidy "Me worry?" explanation for aquifer depletion?
I'm pressed to come up with a scenario where AWS leads cloud AI without something like the infamous "no non-API internal calls" memo/mandate. And Amazon at this point seems to lack a centralized enough leader who can dictate in that way (and have her or his orders followed).
Promotion-driven development is an issue across MAGMA, but IMO Amazon has it the worst because of the twin drivers of extreme stack-ranking and the focus on equity appreciation in compensation.
Being behind on AI has resulted in a field day for empire builders. Amazon needs to get their overall house in order first before trying to be a leader in AI.
Large language models are too slow to use as real-time voice assistants. ChatGPT voice only barely works because they have to use a much worse (but faster) model to do it.
> AI unlocks what seems to be the future: dynamic, context-dependent generative UIs or something similar. Why couldn’t my watch and glasses be everything I need?
https://www.apple.com/watch/
https://www.apple.com/apple-vision-pro/
Idk my MacBook Pro is pretty great and runs well. Fast moving here implies that as soon as you release something there's like this big paradigm shift or change that means you need to move even faster to catch up, but I don't think that's the case, and where it is the case the new software (LLM) still need to be distributed to end users and devices so for a company like Apple they pay money and build functionality to be the distributor of the latest models and it doesn't really matter how fast they're created. Apple's real threat is a category shift in devices, which AI may or may not necessarily be part of.
I'm less certain about Amazon but unless (insert AI company) wants to take on all the business risk of hosting governments and corporations and hospitals on a cloud platform I think Amazon can just publish their own models, buy someone else's, or integrate with multiple leading AI model publishers.
This is exactly what they've done: They offer SageMaker (and similar capabilities) for hosting smaller models that fit into a single instance GPU, and they have Bedrock that hosts a metric crap-ton of AWS and third party models. Many of the model architectures are supported for hosting fine-tuned versions.
As Microsoft own GitHub and it's a competitor.
Could totally see someone sending a message like "Hey, your TAM asked me to talk to you about $IMPORTANT_FEATURE_REQUEST, can you grant me read access in the account where you're developing $UPCOMING_SECRET_PROJECT so I can get some additional color?" It might even be enough to get someone on a conference call and pump them for MNPI about $UPCOMING_SECRET_PROJECT under the guise of ensuring that the feature request is helpful.