Unpopular opinion: LLMs are the worst thing that has happened to software development, and we will all pay the price.

Not about vibe-coders

I’m not talking about “vibe-coders”. I don’t think that phenomenon deserves serious discussion.

I’m talking about people who use AI as a coding assistant, convinced they’re still in control of their architecture and design decisions. In reality, the LLM is making those decisions for you, while keeping you under the illusion of control.

Coming back from NeurIPS 2025, I thought I’d write some of my thoughts about the conference and the current state of AI research.

Given that this was my first time attending the conference (huge mistake for someone who’s working in AI research), I was astonished by the amount of people there, I overheard someone saying that there were around 35,000 people this year, a 60% increase from last year alone. That’s insane (didn’t fact check that)

Apple Intelligence is a project that has been in the works for a while now, and it has been rumored to be a major feature in iOS 18 and the new iPhone 16. However, the project has faced several delays, and it seems that Apple is struggling to get it right. In this post, I will share my thoughts on the reasons behind these delays and what they mean for the future of Apple Intelligence and AI.

Torchtitan is an excellent project to learn how to implement distributed training techniques for training massive language models on hundreds of GPUs. I’ve been using it for a few months, and now that the paper is out, I thought it’d be a good idea to share a few posts about how to use it, what works and what doesn’t, and what I learned while implementing these ideas in my own project.

BLAST (Basic Local Alignment Search Tool) is a widely used tool for comparing nucleotide or protein sequences against databases. If you’re working on macOS and need to use any of its tools, this guide will help you install BLAST, download necessary databases, and run BLAST searches efficiently.

Installing

Manually

Installing BLAST manually gives you control over the installation process and allows you to install the latest version directly from NCBI.

In this blog I will share my thoughts on machine learning, although some other topics might pop up. I will try to be as concise as possible and avoid all the unnecessary jargon *cough* academia *cough*. I hope you not only enjoy the content but also learn something new.

Disclaimers:

1. I am not an expert on all of the topics I will be discussing. I am just a person trying to learn and share my thoughts.
2. Posts are always WIP, I will try to keep them up to date but I might miss some things.
3. There will be mistakes in the posts. I will fix them as soon as I notice them, If you notice any mistakes please let me know by email.
4. If you have ideas of topics, please share them with me. I’m always keen to learn new things :)