subhajeet2107

an AI that is at 100s of Einstein level in every intellectual field imaginable ?maybe, running apple does not require one to be very smart or intellectual

This is so amazing, can you improve the quality of generation at the cost of notes per seconds ? No one can play 108 notes/sec anyways, maybe you can train the model to do CoT for better quality

We are doing fine so far with just Transformers, we have just crossed Trillion parameter models, we don't know if 100s of Trillion param model wont be better.

How are you planing to segregate between professional use and personal use, I dont want any agent or any llm to know all the time what i have been doing on my system, it would be privacy nightmare and most of the time the screencapture is not meaningful. People may use their work laptop or devices to checkout reddit or hackernews occasionally.

LiteLLM already provides this feature, no need of another proxy

Can TOON format help in this, with "LLM=true" we can reduce the noise which pollutes context

Happy New Year from India

I use ente which is also the same, a bit tricky to setup but the app looks great

Why do you need a human to do the initial mapping ? why can't you use a Roomba or a smaller hardware for this task

> Joins are cheap. Normalise earlier

I am sure i have heard strong opinions like this but in practice joins are never cheap, tables with billions of rows crossed with millions of rows just to find a single row with data is not something i would call cheap, more often than not it is better to avoid joining large tables if you can live with duplicate data, also one trick i have found better is just to archive data in your tables which are not accessed frequently and reduce the size of tables keeping only the data which is needed

What about standardisation that comes with using a framework like kubernetes , while not using k8s you end up with adhoc deployment methods, clunky work arounds of handling networking, policies, secrets etc, with Kubernetes or even ECS it signals that the team or the developer is looking to use fixed set of rules for infrastructure, also k8s scales well even for smaller apps

Play Life is Strange