insumanth

> library dependencies are either distributed with the distribution or are statically linked.

I have messed up my packages multiple times and have feared installing anything due to it. I always prefer this type of distributions for any software and now, it works like a charm.

Anyone not doing distributed training across thousands of GPU, pytorch is the best option. Others have an infra team to work on it.

Opus models were straightforward to review. But Opus 5 is very different.

I was confused when google acquired "Wiz" for so much money But now, it makes sense to some extent.

Security is non-negotiable in AI Era

We are ok with Open Weight models unless they are far weaker than our closed weight models and we and only we have control over them

Multi-Modal is the way to go. Deepmind nailed this a long back.

>> The bad guys won’t rest > Probably not. But we will.

This is Exceptional. Perfect EuroMaxxing

This was expected. Apple will carefully choose what & how people can use AI in their ecosystem and will make sure of it. I hope "Apple Foundation Models" Eco-system grows with support from major model providers.

As I read this, all of my favorite things about ruby compared to something like python were influenced by lisp. Ruby is a joy to program and it seems mostly due to design influence from lisp.

I have always been fascinated by Hash Functions. Modern hash functions are incredibly fast and unbelievably secure (crypto hashes). Also, equally important is how hashes have adopted to the usecases. We are intentionally developing slow hashes (BCrypt, Argon2id) with memory, time tradeoff to slow down hash generation as a security measure. One of the fascinating corners of Computers

I will be doing these things with local LLMs

Take a fast, small and powerful LLM running locally to index my personal data like images, videos, documents and enrich them and tag with the enriched metadata.

Want to group by people - Search tagged metadata and group it What to search an image by description - tagged metadata What to organize by anything - tagged metadata

This should (hopefully) put an end to my file clutter

This mostly applies to almost any database.

Deletes are Writes and Writes are resource intensive. This is more prominent on databases like Elastic Search.

When I was tasked to delete millions of (old) documents, it overloaded the cluster and almost brought it down. Only scalable solution was to split the index and drop the whole index.

> that bloated pinnacle of software that is 80% about DRM, 20% about the reading experience

I have never seen someone explain the adobe software so perfectly. Using any adobe software is exactly this.