The week’s AI news, one entry per event. Stories rank higher when more independent outlets report them, when they are squarely about AI, and when they are recent.
On a sunny July day in Berkeley, California, the country's top AI safety researchers gathered on an unmarked floor of an unmarked building. They had come together for a "war room" to dissect the high-profile cybersecurity incident that had rocked the AI indust
Learn how to enforce defense-in-depth authorization for Model Context Protocol (MCP) tools on Amazon Quick. This walkthrough wires Microsoft Entra ID group and claims-based JWTs through an Amazon Bedrock AgentCore Gateway interceptor to apply per-user, per-too
AWS Machine Learning Blog
Learn how to build a synthetic data augmentation pipeline on Amazon SageMaker AI and Amazon Rekognition that generates photo-realistic, auto-labeled training images for industrial safety AI. This approach improved person detection by up to 160% without manual
AWS Machine Learning Blog
QuitGPT-led pledge targets Leading the Future's push for lighter regulation ahead of the midterms
Since it is in the news, I wanted to find out more about the AI alignment and suspected it is not Turing computable similar to the Halting problem. I was able to find a recent reference that claims to prove that AI inner alignment is noncomputable . So the nex
Alibaba released the model weights for Qwen3.8-Flash-Next as a preview of the upcoming Qwen4 architecture for developers to experiment with and evaluate. It’s...
Alibaba released the open weights for Qwen3.8-2.4T-A95B (Qwen3.8-Max), its largest open-weight model, bringing near-frontier capabilities to the open...
Choosing the right vector store for your Amazon Bedrock Knowledge Bases RAG application affects performance and cost. This post compares Amazon OpenSearch Service, Amazon Aurora PostgreSQL with pgvector, and Amazon S3 Vectors across three RAG use cases, with b
AWS Machine Learning Blog
Existential fears about AI have once again reared their head - here's what you need to know.
Treble's voice simulation platform is used by voice AI model developers and AI wearable and robotics companies,
I think it is plausible a strong form of recursive self-improvement [1] is imminent or already underway, and that we may be on track for superintelligence by Christmas of this year if racing continues. This is substantially faster than any forecast, including
Here , we’ve given an operationalization of opaque serial depth, a metric designed to be a good (albeit imperfect) proxy for the amount of opaque serial cognition that models can perform. While maintaining low opaque serial depth is helpful for preserving over
By Peder Ulander • 5-minute read
A central goal of autonomous reinforcement learning is continuous policy training without external resets. However, existing paradigms largely depend on underlying environmental reversibility, a property absent in real world manipulation, where events such as
Anthropic and OpenAI want to embed independent safety evaluators inside their AI labs. Researchers welcome the unprecedented access, but warn meaningful oversight requires transparency, independence, and eventually regulation.
The round values the data center giant at $30.9 billion.
Google DeepMind just launched an institute to hash out the big AGI questions in public
Training systems that allow robots to negotiate the real world are getting more sophisticated.
I share the skepticism re: "Is METR a Meaningful Check on Anthropic?" Let's take it as a given that we need an independent, government-funded agency involving thousands of independent auditors to pace and supervise the frontier AI labs. Let's even take it as a
Plugin4Shell attack affects all the major coding agents, researchers say
If AI lab PrismML isn't on your radar yet, it should be.
This week on “Uncanny Valley,” we discuss three possible AI doomsday scenarios, AI safety, and the unexpected bipartisan alliance forming against AI.
A new AI-based software program is being launched to help air traffic controllers better navigate their jobs as the crossing guards of America's skies.
Scaleout deploys decentralized AI-driven learning to military bases and drones.
The company shared the stat alongside three measurements that help communicate the pace of AI development.
This is a linkpost for the write-up on my site ; the full body is below, and the code, decisions ledger and devlog are in the repo . Base-model z-score calibration of the J-lens helps elicit hidden secret words from Cywiński et al.'s taboo organisms: 0.805 lea
