Viewing profile — fabmilo

Location: San Francisco, CA, USA Remote: Yes Willing to relocate: No Technologies: Python, Go, TypeScript, PyTorch Linkedin: http://www.linkedin.com/in/fabmilo Hi, I’m Fabrizio Mil…

Writing it thinking. We developed our brain together with our hands. It feels slow but is actually faster for the end goal.

I am fascinated by this example of using AI to improve AI. I won a small prize using this technique on helion kernels at a pytorch hackathon in SF. The next step are: - give the ag…

Was thinking the same thing. probably once a day would be more than enough. if you really want a minute by minute probably a delta file from the previous day should be more than en…

indeed. make a loom showing us why is better.

There is tons of good advice. This blog post can be easily turned into a skill for agents.

New generative modeling using a single inference step

Very impressive work from Waymo. The driving with a tornado in the horizon example kind of struck my imagination, many people actually panic in such scenarios. I wonder though the …

because of the principle: you only understand what you can create. You think you know something until you have to re-create it from scratch.

VAE for real time video generation, WAN 2.1 / Matrix Game 2.0

How much would cost to produce these ?

nice, didn't knew this tool either

Yeah I totally agree, we need time to completion of each step and the number of steps, sizes of prompts, number of tools, ... and better visualization of each run and break down ba…

How does it work? is just a documentation specification like spec kit?

I was just reflecting on this blog post after reading it this morning. What do you think on code mode after implementing it? At this point would not be better to just have a sandbo…

one axis that is missing from the discussion is how fast they are improving. We need ~35 years to get a senior software engineer (from birth to education to experience). These thin…

I like zotero, I started vibe coding some integration for my workflow, the project is a bit clunky to build and iterate the development specially with gemini & claude. But I think …

reference to the library: https://trafilatura.readthedocs.io/en/latest/ for the curious: Trafilatura means "extrusion" in Italian. | This method creates a porous surface that disti…

more excited about the rust impl than the typescript one.

The interesting delta here is that this proves that we can distribute the training and get a functioning model. The scaling factor is way bigger than datacenters

I read the paper and the results don't really convince me that is the case. But the problem still remains of being able to use information from different part of the model without …

We have to move past tokenization for the next leap in capabilities. All this work done on tokens, specially in the RL optimization contest, is just local optimization alchemy.

I will believe reasoning architectures when the model knows how to store parametric information in an external memory out of the training loop.

was genuinely excited when I read this but the github repo does not have any code.