valzam

Of course, invoking 'there are two kinds of languages: one that people complain about and one that nobody uses', there are two kinds of language designs: one that is perfectly consistent and one that has had contact with the real world.

What experience have people had with Mistral models for cyber research? are they as constrainted as Anthropic models? I use claude day2day but have the need for a model with fewer guardrails to pentest our own APIs.

Also Claude Code is very good at writing small scripts/on-off test cases to confirm bugs, so I wouldn't even say the initial premise is correct.

The big problem is that raw SQL has pretty bad type inference and linting support in most editors. A query builder can still give you a lot of type safety benefits.

I mean the easiest explanation would be that the model harness doesn't always take the most likely token but does top-k sampling or similar. temperatur just means that probabilities get more and more equalized, boosting the chance that an unlikely token gets picked. but even with temp 0 you could have 0.8 T1, 0.19 T2, ... and sometimes sample T2

> One of the great drawbacks of "Cloud Native Computing" as it now exists is that it's really, really complicated. It is often more complicated than the old, non-cloud, sort of computing. In order to deploy your app outside of Minerva you now need to know something about k8s, or Cloud Formation, or Terraform.

Highly agree with this. I think it's very underappreciated in startups that if you want people to deploy a lot of small services you have to make that really super easy. I always thought that the value of things like Spark is that you can run "things" without having to worry about how they run. K8s is similar but much more complex. AWS Lambda is nice but also comes with a lot of baggage at scale. I always wanted to try something like Dapr, which seems to provide a very opinionated happy path for application development.

OP wanted to set up a nested copmany structure. Instead of Person -> LLC it goes Person -> Limited Partnership --> LLC. The in between company is only for tax-efficiency and has nothing to do with limited liability.

The question is, is that really only due to data center geo? I am always amazed how low latency and high quality Facetime between Europe <-> Australia is. Seems like good engineering can overcome less optimal geographics.

Very unrelated: first time I see someone with the same last name as me in the tech community, it's somewhat odd :)

Async presumably happens in the JS runtime that bun calls into. Just need 1 thread to host that

If this works `git clone [email protected]:me/mine.git release_01 && ln -s release_01 /var/www/me/mine/current` then your Docker builds should also be extremely quick. Where I have seen extremely slow docker builds is with Python services using ML libraries. But those I reallly don't want to be building on the production servers.

"ECS would have worked for 99% of these apps, if they even needed that."

I used to agree with that but is EKS really that much more complicated? Yes you pay for the k8s control plane but you gain tooling that is imho much easier to work with than IaC.

I always feel like I am taking crazy pills when I read these threads. The k8s API and manifests config feels like a create standardardized way to deploy containers. I wouldn't want to run a k8s cluster from scratch but EKS has been pretty straightforward to work with. Being able to use kind locally for testing is amazing and k9s is my new favourite infra monitoring tool.

Even if you just run on 2 nodes with k3s it seems worth it to me for the standardized tooling. Yes, it is not a $5 a month setup but frankly if what you host can be served by a single $5 a month VM I don't particularly care about your insights, they are irrelevant in a work context.