bshanks
Joined 17 years ago
Joined 17 years ago
It looks like the spend limits can't be applied to existing AWS Accounts but only to new Projects, that there is no migration path from AWS Account -> Project, that you can only have 10 projects with Spend Limits, and that Projects can't use any region other than one of three regions determined by your organizational contact address. Is the plan to get rid of these limitations or should we expect these limitations to stay?
My use case is that our company would like to empower our AI agents to do a lot of stuff autonomously that involves reprogramming and spinning up EC2 instances (which, for reasons of latency, often need to be in particular regions other than our company's home address), and also doing data science on large amounts of existing data in our S3 Glacier. We would like to just let the agents run continuously, including when we are all asleep (and there would be no one around to respond to a budget alert). But we are worried that these AI agents might make a mistake that very quickly spends too much money (e.g. spinning up orders of magnitude more instances than they should). Since the agents are autonomous, they might spend money in a way we haven't thought of, so fine-grained budget-based automation wouldn't always work, and account-level spend controls are needed.
In addition, the following is less important, but as other commenters have stated: walking away from a conversation and coming back to it more than an hour later is very common and it would be nice if there were a way for the user to opt to retain maximum quality (e.g. no dropped thinking) in this case. In the longer term, it would be nice if there were a way for the user to wait a few minutes for a stale session to resume, in exchange for not having a large amount of quota drained (ie have a 'slow mode' invoked upon session resumption that consumes less quota).
"Also what happens after March 31st with the leftover commingled inventory that’s already there?
No action is required for stickerless inventory currently in-transit to or stored in our fulfillment centers. These products will continue to sell under their original SKUs.
However for a reseller, after March 31, 2026, all new inventory must use Amazon barcodes. Please review the FBA Barcode Choice and Labeling FAQ for additional information." -- https://sellercentral.amazon.com/seller-forums/discussions/t...
Since they were on a boat with a Raspberry Pi and not much battery power or internet, in addition to execution speed and portability, they were probably also concerned with:
- speed of compilation and linking (on small machines like Raspberry Pi)
- binary size of anything that might have to be updated or shared over the internet
- having to troubleshooting emergent issues without the ability to lookup documentation or download updates or tools from the internet
In this situation, a simpler language on a simpler VM is probably going to be faster to develop with than compiling/linking a subset of C, and after the initial implementation of the VM, might present less opportunity for an unintended interaction of leaky abstractions in your libuxn and your toolchain to ruin your day on a day when you don't have internet connectivity to check Stackoverflow or to update some buggy dependency.
This approach is https://en.wikipedia.org/wiki/Embarrassingly_parallel, which is a good fit for biological neural architectures, which have very many computing nodes but each node is very slow (compared to electronic computer CPUs/GPUs).
I had thought that debt is when you have to pay back at least the "principal" no matter what, and equity is when the financier shares the risk of you failing. Maybe that's not correct, though?
Does the definition of a "loan" include any sort of financing, even if the amount that needs to be "paid back" to the "lender" can be arbitrarily small or large? That would make equity financing a special case of debt.