And also, you’ll notice that Fargate takes minutes to launch while Lambda takes a second or less. You’re waiting on AWS to launch a EC2 with your config and pull your containers into it.
(that article matches things I heard from Amazon when I asked why my stuff is slow)
If you have an Apple TV it can use an iPhone as a camera for FaceTime (you put it under your TV temporarily). Works great, presuming you already have some other reason to have the hardware.
The AWS pricing page says 10% more than OpenAI, which is probably because they’re forcing all inference through the US and data residency is at a 10% premium from the model vendors for whatever reason (because you’ll pay for it).
If they put in a global endpoint like with Claude (or OpenAI directly) then it’ll probably match the direct pricing, if the pattern holds.
Are people in the habit of asking their admin to order a pizza or a Uber? There’s more complex things (the floor I think is booking a flight that doesn’t conflict with activities I have to do), but by time you summon your assistant you could’ve had the car on its way.
I think they built the NPU with whatever models they needed to run on the iPhone in mind vs trying to build a general purpose chip, and then got lucky it was also useful for LLMs.
(Like “I want to do object detection for cutting people into stickers on device without blowing a hole in the battery, make me a chip for that”.)
It forces you to pay at least $20 in tokens per user even for people who use less (they probably have stats on how many people use just autocomplete, which doesn’t count against the quota. or have a seat and don’t use the service at all).
Isn’t that an “API product”? I read this assuming the whole point of renegotiation was to let OpenAI sell raw inference via bedrock, but that still seems to be blocked except for selling to the US Government.
AWS actually has a thingy on some services called “deletion protection” to prevent automation from accidentally wiping resources the user didn’t want it to (you set the bit, and then you need to make a separate api request to flip the bit back before continuing).
I think it’s designed for things like Terraform or CloudFormation where you might not realize the state machine decided your database needed to be replaced until it’s too late.
The developer seats are read-only, so they rely on designer seats existing to actually create files to inspect for development (and I’d guess PMs are using figma because designers are using figma).
If designers still want Figma then the other people are along for the ride (unless the idea is the designers are being replaced with a PM+Claude.)
Not only that, but due to their pattern of putting letters after the version number the current version is Oracle AI Database "26ai".
I skimmed the video and the presenters said "Oracle AI Database 26ai" multiple times without even a glint of self awareness on their face. They must've picked the only people on the team that could say that without laughing.
And also, you’ll notice that Fargate takes minutes to launch while Lambda takes a second or less. You’re waiting on AWS to launch a EC2 with your config and pull your containers into it.
(that article matches things I heard from Amazon when I asked why my stuff is slow)