Skip to content
View faltz009's full-sized avatar

Block or report faltz009

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
faltz009/README.md

Walter Henrique Alves da Silva

Open Research Institute πŸ”— ORCID: 0009-0001-0857-096X


About

I am a data engineer, computational neuroscientist and learning expert, I model how data gets shaped and stored as meaningful information. I've implemented a digital data structure based on how the brain samples and stores memory, and a full database and learning architecture from the ground up.

Currently working on building a digital mind, a language model with geometric embeddings instead of flat vectors approximations. Modern datacenters need around 10.000-20.000W of power to power current AI like Claude or GPT, while the human brain runs on 20W, so the aim is to close that gap.


Current Work

This is the digital mind project, where my free time goes and research gets applied directly

What if you could access an expert at any field, instantly from your cellphone? What if you could find other researchers working on the same problems, and be found by others looking for your expertise?

To move science ahead, we put it all in one place, facilitate communication between researchers, and create a digital model of our world where agents can orient themselves without getting lost in hallucinations.

The backend underneath the Open Research Network: a geometric data structure modeled after how the brain samples and stores information, with a SQL-compatible database and cognitive architecture built on top β€” Turing complete and extremely efficient. Here are some of the benchmarks:

find the 1 corrupted record in a million      ~1.8Γ— faster than a Merkle tree
find all 50 corrupted records in 100,000        50Γ— faster than a Merkle tree
SQL queries, vs SQLite with indexes            7–10Γ— faster
data-integrity check, vs SQLite            ~19,000Γ— faster

Run them yourself and see the rest at β†’


Research

Research

My R&D repository holds the published papers and active work on a geometric description of thought and language. My home is in psychology β€” the first paper is essentially philosophy, from there it gets more mathematical.

Whitepapers β†’

Writing

Liminal Gravity β†’ β€” my substack, where I write simply, with pictures and casual language, without worrying about academic pedantry.


Support this work

All of this is independent work done in my own time and released for free. If you find it useful or want to see it continue, any support helps.

Method Address
BTC 155jaKugGGhdwX2Dp55bfHWpWbWD3Gr3PG
ETH (ERC-20) 0x31f0253180b03c16a0aa2d7091311d7363ef22a4
SOL HdGFaL6A8z8AetnyPn6vKPU4QJGaSHBtoqPK32qbe6wV
PIX (Brazil) walter.h057@gmail.com

For collaboration or employment: walter.h057@gmail.com


πŸŽ“ Background

  • Former AI/crypto dev at Renlabs/Torus Network
  • Former full stack dev at NETDigital, a small ISP company
  • Published peer-reviewed neuroscience research
  • Psychology student

Popular repositories Loading

  1. Closure-SDK Closure-SDK Public

    A complete cognitive architecture on SΒ³. One Hamilton product runs memory, learning, attention, and affect

    Rust 25 3

  2. Hyperlexicon Hyperlexicon Public

    Building a Wikipedia that comprehends what it knows.

    4

  3. work-in-progress work-in-progress Public

    Ideas still being formalized and developed

    3

  4. God-conjecture-notes God-conjecture-notes Public

    A repository for files, notes and extensions on The God Conjecture: https://github.com/SASenchal/God-Conjecture

    1

  5. God-Conjecture God-Conjecture Public

    Forked from SASenchal/God-Conjecture

    God Conjecture Paper / Presentation / Video Discussion

    1

  6. Neural-Entropy-Analysis-Pipeline Neural-Entropy-Analysis-Pipeline Public