Be the first hire, working with me, combining LLMs, geometry, and manufacturing in a high-agency, high-trust environment. You’ll have significant ownership over your work, freedom to experiment, and direct influence on the direction of the product.
A wide range of technologies to work with: vllm / React / Postgres / CGAL / OpenCASCADE / Eigen / express
I think my system is sort of both. I want to put some events in a queue for a finite set of time, process them as a single consolidated set, and then drop them all from the queue.
Perhaps I do. I know that I don't want a system defined as a graph in yaml. Or no code. These options are over engineered for my use case. I'm pretty comfortable building some docker containers and operating them and this is the approach I want to use.
I am about to start a project. I know I want an event sourced architecture. That is, the system is designed around a queue, all actors push/pull into the queue. This article gives me some pause.
Performance isn't a big deal for me. I had assumed that Kafka would give me things like decoupling, retry, dead-lettering, logging, schema validation, schema versioning, exactly once processing.
I like Postgres, and obviously I can write a queue ontop of it, but it seems like quite a lot of effort?
I called the ICO a few years ago asking how to comply with an ex-employee GDPR data request for access to their emails. Their recommendation: read them all to determine which contained personal data.
When I told them I (as a 5 person business) obviously don't have time to go through 1000s of old emails they reacted with surprise to the amount of emails. I guess they don't send many. They didn't offer any other solution.
As others have mentioned this org is a tax on all UK business.
I long for a US-like entrepreneurial attitude here in the UK. Business people here think that they are playing zero sum games. Everyone looks to the govt for funding and direction.
I am reflecting on Deepmind. This company saw the AI revolution before anyone else. London based. They did an amazing job. Sold to Google. The problem is that long term the growth and money now goes back to the US. Maybe the UK is just too small to produce world leading companies.
Memory size is an interesting example. A typical Kubernetes deployment has much more control over this than a typical non-container setup. It is costing you to figure out the right setting but in the long term you are rewarded with a more robust and more re-deployable application.
I've always assumed that Google ads subsidises everything else at Google. So my concern with a split would be YouTube increasing price or less investment in the service.
You seriously think they haven't thought of that? I have no association with this project but it has been going for many years, has sold to many customers and institutions and the pictures certainly look like many healthy plants. Probably there is a cost/benefit trade-off to engineering watering at the soil level. Perhaps leaves would get damaged by the hardware.