Eli Sennesh

I just gave a short tutorial on what is a spiking neural network and how to train one. From zero to a trained network in one hour. Slides and code you can run in Colab at this repo: github.com/neural-recko... 🤖🧠🧪

GitHub - neural-reckoning/cambridge-fens-chen-summer-school-2026: Code and slides for 2026 FENS Chen Summer School on Learning with spikes github.com

This isn't getting enough attention futurism.com/future-socie...

Trump Moves to Deeply Censor the Entire Internet futurism.com

Children acquire object category representations from their everyday experiences in the first few years of life. What do the inputs to this learning process actually look like? New preprint! arxiv.org/abs/2605.14990

Characterizing the visual representation of objects from the child's view arxiv.org

IplanRIO? The open frontier model company?? "dynamically switches between explicit chain-of-thought and latent-space reasoning"???? Wtf are they doing in Brazil what is this??? huggingface.co/prefeitura-r...

prefeitura-rio/Rio-3.5-Open-397B · Hugging Face huggingface.co

RNN strikes back! by adding offline memory (cache) it can do tasks nearly as well as transformers, w/o the high inefficiency (memory^2 complexity) sounds like it could be relatively bio plausible (?) too. limited working memory span + long term memory... ish? arxiv.org/pdf/260…

arxiv.org

Most AI benchmarks simply measure what models can do. Bruce Schneier and Barath Raghavan argue it's time to measure whether AI agents do what users actually mean. https://spectrum.ieee.org/ai-agent-benchmark?share_id=9701174

Why AI Needs a "Genie Coefficient" spectrum.ieee.org

AI: Myth Vs. Fact https://theonion.com/ai-myth-vs-fact/

AI: Myth Vs. Fact theonion.com

Today we're releasing Laguna S 2.1, our most capable model to date. It's a 118B total parameter MoE model with 8B activated per token, a context window of up to 1M tokens, and thinking and no-thinking modes. Small enough to run on a single @NVIDIAAI DGX Spark poolside.ai/blog/…

Introducing Laguna S 2.1 poolside.ai

A Samsung labor showdown in South Korea highlights a global movement of workers demanding equitable distribution of record AI wealth https://restofworld.org/2026/samsung-south-korea-union-ai-profits/?utm_campaign=row-social

AI is minting new billionaires, and workers want their share restofworld.org

I say this with all due respect but simultaneously with a rage that can unmake stars, a software-intensive system that “exhibits all the cognitive capabilities that the brain has” is not “a few short years away”. x.com/demishassabi...

Demis Hassabis (@demishassabis) on X x.com

It turns out that a lot of the bafflingly poor metaphors used by LLMs (as opposed to repetitive linguistic constructs like — or “it’s not X, it’s Y”) are actually direct regurgitations from human-written bad fanfiction in the training data: tuhinchakrabarty.substack.com/p/ai-s…

AI-slop , GrantaGate and Bad Writing tuhinchakrabarty.substack.com