Findeton

Joined 11 years ago

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648
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516
Member since
Nov 21
contact: [email protected]

Personal Blog

https://roblesnotes.com

Chronology based on the Ancient Rome Epoch (we're on year AUC 2773)

https://aburbecondita.com

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Recent submissions

Comment · 2 months ago
It happens everywhere.
Comment · 4 months ago
Sequent Tech | Senior Fullstack Engineer | REMOTE (Global) | Full-time | sequentech.io

Sequent builds cryptographically secure online voting infrastructure used in 200+ real elections across multiple countries. We're a fully remote team working on an open-source platform combining Rust, TypeScript, and modern DevOps. We handle End-to-end encrypted voting, cryptographic mixnets, and tamper-evident logging.

Tech Stack: Rust, TypeScript/React, WebAssembly, GraphQL, PostgreSQL, Keycloak

Open Roles:

Senior Fullstack Engineer (Rust + TypeScript/React)

Reach out: [email protected]

Comment · 4 months ago
I know the Spanish case. The hotel lobby does not only push for airbnb restrictions but also for banning new hotels (so that they can push prices up). For example famously there are no new airbnb or hotel licenses since more than 10 years and obviously the problem has only worsened. Regardless, the problem is in general still a demand that grows roughly at 2.5x the supply growth rate.
Comment · 4 months ago
No, that problem was not generated by Airbnb. There’s growing demand and, because of regulation, not enough is built every year. For example, according to INE, 250k new families are formed in Spain (more than 500k people) and only 100k new houses/flats are built and the yearly deficit has been accumulating for 12 years. That is the real issue and blaming corporations is just the politicians’ easy path to deflect blame, which unfortunately too many citizens eagerly buy into.
Comment · 4 months ago
Fable IS that good, I can tell you. At least, for physics.
Comment · 5 months ago
Sequent Tech | Senior Fullstack Engineer | REMOTE (Global) | Full-time | sequentech.io

Sequent builds cryptographically secure online voting infrastructure used in 200+ real elections across multiple countries. We're a fully remote team working on an open-source platform combining Rust, TypeScript, and modern DevOps. We handle End-to-end encrypted voting, cryptographic mixnets, and tamper-evident logging.

Tech Stack: Rust, TypeScript/React, WebAssembly, GraphQL, PostgreSQL, Kubernetes, Keycloak, ImmuDB

Open Roles:

Senior Fullstack Engineer (Rust + TypeScript/React)

Reach out: [email protected]

Comment · 6 months ago
No link?
Comment · 6 months ago
We all liked the Terminator movies. Hopefully the stay as movies.
Comment · 6 months ago
Do you have a public repo for that? I'm also trying to do that although I'm using "replay"/distillation and hopfield memory banks.
Comment · 6 months ago
Thanks! I have other ideas, following Jeff Hawkins's Thousand Brains Project, but in this one I'm trying to get to cortical columns from the other side, from "standard" deep neural networks.

The short version: each layer trains itself independently using Hinton's Forward-Forward algorithm. Instead of propagating error gradients backward through the whole network, each layer has its own local objective: "real data should produce high activation norms, corrupted data should produce low ones." Gradients never cross layer boundaries. The human brain is massively parallel and part of that is not using backprop, so I'm trying to use that as inspiration.

You're right that the brain has backward-projecting circuits. But those are mostly thought to carry contextual/modulatory signals, not error gradients in the backprop sense. I'm handling cross-layer communication through attention residuals (each layer dynamically selects which prior layers to attend to) and Hopfield memory banks (per-layer associative memory written via Hebbian outer products, no gradients needed).

The part I'm most excited about is "sleep". During chat, user feedback drives reward-modulated Hebbian writes to the memory banks (instant, no gradients, like hippocampal episodic memory). Then a /sleep command consolidates those into weights by generating "dreams" from the bank-colored model and training on them with FF + distillation. No stored text needed, only the Hopfield state. The model literally dreams its memories into its weights.

Still early, training a 100M param model on TinyStories right now, loss is coming down but I don't have eval numbers yet.

Comment · 6 months ago
Comment · 6 months ago
Nowadays, apart from stockpicking as a value investor, I use LLMs to develop AIs that don’t use backpropagation and that support continuous learning.
Comment · 7 months ago
Sequent Tech | Senior Fullstack Engineer | REMOTE (Global) | Full-time | sequentech.io

Sequent builds cryptographically secure online voting infrastructure used in 200+ real elections across multiple countries. We're a fully remote team working on an open-source platform combining Rust, TypeScript, and modern DevOps. We handle End-to-end encrypted voting, cryptographic mixnets, and tamper-evident logging.

Tech Stack: Rust, TypeScript/React, WebAssembly, GraphQL, PostgreSQL, Kubernetes, Keycloak, ImmuDB

Open Roles:

Senior Fullstack Engineer (Rust + TypeScript/React)

Comment · 8 months ago
I wonder how this work relates to Jacob Barandes’s indivisible stochastic processes.

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