Aug 10, 2025

• Simon Willison's talk at the Bay Area AI Security Meetup focused on prompt injection and the lethal trifecta, highlighting the urgent need for robust security in AI systems that utilize Model Context Protocol (MCP).

• MCP overlooks hard-won lessons from distributed systems

• MCP’s design prioritizes simplicity over robustness, neglecting essential lessons from 40 years of RPC best practices, which could lead to severe operational failures in enterprise environments.

• GPT-OSS vs. Qwen3 and a detailed look how things evolved since GPT-2

• OpenAI's release of gpt-oss-120b and gpt-oss-20b marks the first open-weight models since GPT-2, featuring optimizations like MXFP4 for local execution on consumer GPUs. This advancement reflects a significant evolution in model architecture, emphasizing efficiency and accessibility for developers and researchers alike.

• Diffusion Language Models Are Super Data Learners

• Diffusion Language Models demonstrate exceptional capabilities as data learners, effectively leveraging vast datasets to enhance their performance in various tasks, as detailed in the article here.

• An AI-first program synthesis framework built around a new programming language

• Universalis is a novel programming language designed for knowledge workers, enabling them to interact with AI through natural language, thus democratizing programming for non-developers.

• Microsoft POML – Prompt Orchestration Markup Language

• POML (Prompt Orchestration Markup Language) enhances prompt engineering for Large Language Models (LLMs) by providing a structured, modular approach that improves readability, reusability, and maintainability of prompts.

• [P] I used YOLOv12 and Gemini to extract and tag over 100,000 scientific plots.

• The author developed Plottie.art, a searchable library of over 100,000 scientific plots, utilizing a custom YOLOv12 model for subplot segmentation and the Google Gemini API for classification and keyword extraction, streamlining the visualization design process in research.

• [P] From GPT-2 to gpt-oss: Analyzing the Architectural Advances And How They Stack Up Against Qwen3

• OpenAI's gpt-oss-120b and gpt-oss-20b are their first open-weight models since GPT-2, featuring optimizations like MXFP4 for local execution on consumer GPUs, enhancing accessibility for developers.

• [R] Adaptive Classifiers: Few-Shot Learning with Continuous Adaptation and Dynamic Class Addition

• Adaptive Classifiers enable few-shot learning with as few as 5-10 examples per class, achieving 90-100% accuracy on enterprise tasks while continuously adapting to new data without catastrophic forgetting.

• The Magic of Herding

• Dogs utilize indecisiveness in sheep to effectively guide them, revealing insights into controlling chaotic collectives, which has implications for robotics and swarm behavior.

• Conversations remotely detected from cell phone vibrations, researchers report

• Researchers at Penn State have demonstrated that conversations can be remotely detected from cell phone vibrations using a millimeter-wave radar sensor, achieving up to 60% accuracy in transcribing speech from a distance of three meters.

• [R] Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture

• The AMICL algorithm enhances in-context learning by identifying incomplete patterns, searching for similar complete patterns, and completing them, achieving near-perfect performance on classification tasks.