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okigan

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With all respect to FreeBSD.

It seems weird in 2025/2026 we are still discussing the baseline of getting a storage working.

Feels we’re spending too much time discussing the trees and not enough time getting the forest going: * we need reliable local storage * integrated backup * apps installation / management * remote access and account management * app isolation, reliable updates

It’s unclear from your description is this Z3 problem or this is the nature of such problems (and it’s a wish).

Are there other tools that do it better or proposal how Z3 would do it?

Don’t you need to apply filtering to the frame selection based on scene score?

Otherwise you’d select frames with 0.3, 0.7, 1.0, 0.7, 0.3 - selecting 5 frames instead of 1?

Two pass with sobel filter comes to mind.

Could we have a concise and specific explanation how DSPy works?

All I've seen are vague definitions of new terms (ex. signatures) and "trust me this very powerful and will optimize it all for you".

Also, what would a good way to reason between DSPy and TextGrad?

As @leef mentioned, you should transition between Lambda and <another offering> based on the current load.

I've published LambdaFlex as an Infrastructure as Code (IaC) template. It automatically scales and manages traffic between AWS Lambda and AWS Fargate [1].

This setup leverages the strengths of both services: rapid scaling, scaling down to zero, and cost-effectiveness.

[1] GitHub: https://github.com/okigan/lambdaflex

After reading the parent comment - I thought to myself “so what”.

But after reading it on the product page - I fully agree: seeing clearly the targeted personas and out of scope usage significantly elevates my trust in the product and the team behind it.

Have not used the software, but now I want to try

I find langchain complicates more than it helps: abstractions are leaky, API is not consistent across components, and it creates overly complex components.

It's too many layers of over-engineered complexity, and it's for underlying components that are changing very rapidly, so you are getting bogged down with out-dated architecture very quickly.

I had an issue thinking UI was slow, but it turned up that mouse pointer integration issue - simple check: get a USB mouse and inject that USB device into VM.

Still not as good (as I remember VMware would provide), but better!

BTW, tested 7.0 just now -- anecdotally Ubuntu's UI does not feel any faster and somehow still depends on the resolution not the size of the window being moved

If one interprets that "set you own goals" is the task of AI then it's probably Sci-Fi AI, but that wasn't my question.

Let's say we have a goal, "evaluate persons impression of a particular book/topic/etc".

So the goal would be to have a conversation on this and related topics that would (re)construct person's impression.

Hence my question if there are any publications/articles that explored that?