# May 5, 2026

## Meta and Mark Zuckerberg face a lawsuit
- **Meta and Mark Zuckerberg face a lawsuit** from five publishers and author Scott Turow, alleging they illegally copied millions of works to train their AI systems, specifically the Llama model, which is described as one of the largest copyright infringements in history.

## Accelerating Gemma 4: faster inference with multi-token prediction drafters
- **Multi-Token Prediction (MTP) drafters** enhance Gemma 4 models, achieving up to **3x faster inference** without compromising output quality, thanks to a specialized speculative decoding architecture.

## Computer Use Is 45x More Expensive Than Structured APIs
- **Computer use is 45 times more expensive** than structured APIs, as evidenced by a benchmark showing 53 steps and 551k tokens for a vision agent versus only 8 calls and 12k tokens for an API agent.

## Production AI very different from the demos
- **Production AI** reveals a stark contrast to demos, as **token usage** surged unexpectedly due to longer, more complex customer queries, necessitating context retrieval that **doubled input length** on each call.

## Why SSMs struggle in parameter-constrained training: empirical findings at 25M parameters
- **SSMs** exhibit a **3.26x compression disadvantage** compared to attention QKV, severely impacting their performance in **parameter-constrained environments** like the **Parameter Golf competition**.

## Simple Meta-Harness on Islo.dev
- A **meta-harness** enhances LLM agents by utilizing a proposer agent that analyzes up to **10M tokens** of raw execution traces to improve the harness automatically, addressing the critical issue of **diagnostic context**.

## Is there a notable increase in demand for privacy-preserving AI/ML with the advent of LLMs?
- The **demand for privacy-preserving AI/ML** has surged alongside the rise of **LLMs**, driven by concerns over user de-anonymization as highlighted in [this paper](https://arxiv.org/abs/2602.16800).

## TritonSigmoid: A fast, padding-aware sigmoid attention kernel for GPUs
- **TritonSigmoid** is an open-sourced, **padding-aware sigmoid attention kernel** designed for GPUs, enhancing performance in single-cell foundation models by allowing simultaneous attention to multiple genes without wasting compute on empty positions.

## Visual graph classification for blockchain security: Experiences fine-tuning Qwen2-VL on AMD MI300X
- **Visual graph classification** using **Qwen2-VL-2B-Instruct** effectively identifies malicious transaction patterns in blockchain security, leveraging a **Vision-Language Model (VLM)** to recognize topological signatures in 2D graph layouts.

## Perceptual Flow Network for Visually Grounded Reasoning
- **PFlowNet** introduces a novel approach to visual reasoning by **decoupling perception from reasoning**, enhancing interpretability and effectiveness beyond traditional geometric priors.

## I'm Scared About Biological Computing
- The emergence of **biological computing**—where human neurons are trained to perform tasks like playing DOOM—raises profound ethical questions about **consciousness** and the implications of creating a living computer.

## QLoRA Fine-Tuning of Qwen2.5-1.5B for CEFR English Proficiency Classification (A1–C2)
- **QLoRA fine-tuning of Qwen2.5-1.5B achieved an impressive accuracy of 84.9%** in classifying English texts across six CEFR levels (A1–C2), utilizing only **~0.28% of model parameters** for training.

## NVIDIA and ServiceNow Partner on New Autonomous AI Agents for Enterprises
- **NVIDIA and ServiceNow are launching specialized autonomous AI agents** through Project Arc, designed to enhance enterprise workflows with governance and security, enabling complex task execution beyond traditional automation.