# Feb 22, 2026

## How Taalas "prints" LLM onto a chip?

- **Taalas has developed an ASIC chip that runs Llama 3.1 8B at an impressive 17,000 tokens per second, achieving speeds comparable to writing 30 A4 pages in one second, while being 10x cheaper and 10x more energy-efficient than traditional GPU systems.**

## Show HN: Llama 3.1 70B on a single RTX 3090 via NVMe-to-GPU bypassing the CPU

- **NTransformer** is a **high-efficiency C++/CUDA LLM inference engine** capable of running Llama 70B on a single RTX 3090 by streaming model layers through GPU memory, achieving a **33x speedup** over traditional methods.

## We hid backdoors in ~40MB binaries and asked AI + Ghidra to find them

- **AI agents, including Claude Opus 4.6, achieved a 49% success rate in detecting backdoors within ~40MB binaries, revealing unexpected reverse engineering capabilities.** This benchmark utilized open-source tools like [Ghidra](https://github.com/NationalSecurityAgency/ghidra) and [Radare2](https://rada.re/) to analyze binaries without source code.

## Two Bits Are Better Than One: making bloom filters 2x more accurate

- **Bloom filters can achieve 2x better accuracy** by utilizing two bits within a single `uint32`, significantly reducing the false positive rate from **11.68% to 5.69%** while maintaining efficient memory access and atomic operations.

## Happy Zelda's 40th first LLM running on N64 hardware (4MB RAM, 93MHz)

- **Legend of Elya** is the **first N64 homebrew game** to run a **nano-GPT language model** on a 93 MHz VR4300 CPU, enabling real-time, dynamic interactions without cloud reliance.

## Write-Only Code

- **Write-Only Code** signifies a shift where a significant portion of production code is generated by AI without human review, fundamentally altering the software development lifecycle and the role of engineers.

## [R] DynaMix -- first foundation model that can zero-shot predict long-term behavior of dynamical systems

- **DynaMix** is the **first foundation model** capable of **zero-shot predicting long-term behavior** of dynamical systems by learning the underlying rules from short time series snippets, surpassing traditional models like Chronos-2.

## Introduction to Out of Time Order Correlators (OTOCs)(2025)

- **Out of Time Order Correlators (OTOCs)** are pivotal in understanding chaos in quantum dynamics, as they measure the expectation value of quantum observables, revealing how perturbations can lead to significant changes in a system's state.

## [R] DynaMix -- first foundation model for dynamical systems reconstruction

- **DynaMix** is the **first foundation model** specifically designed for **dynamical systems reconstruction**, showcasing its capabilities through comparisons with recent time series models like **Chronos-2**.

## Global Intelligence Crisis

- The **2028 Global Intelligence Crisis** reveals a **negative feedback loop** where AI advancements lead to widespread job displacement, collapsing consumer spending, and a deteriorating economy, despite initial productivity gains.