AI risk management

A group of independent researchers working together around a table with laptops and notebooks in a bright office space.

OpenAI’s Safety Fellowship Is Not a Generic Grant: It Trades Model Access for Structured, Governance-Focused Research

admin2 months ago05 mins

OpenAI’s Safety Fellowship, announced on April 6, 2026, is best understood as a structured safety research program rather than a broad grant round. It combines funding, mentorship, compute, and optional Berkeley workspace for independent researchers, but it withholds internal system access and sharply targets work that could inform AI governance, safety standards, and enterprise risk…

Scientists and engineers collaborating in a modern AI research lab with computers and data screens visible.

Google DeepMind’s New Safety Thresholds Draw a Line Between Measured Manipulation Risk and Real-World AI Behavior

admin2 months ago06 mins

Google DeepMind’s latest Frontier Safety Framework update is notable not because it proves today’s public AI systems are routinely manipulating users, but because it turns that risk into something the company says it can measure, threshold, and block before broader deployment. The change adds a formal capability level for harmful manipulation and a separate misalignment…

An AI developer at a desk with multiple monitors showing code and AI interfaces in a bright office setting.

Layered defenses are cutting prompt injection risk, but they do not remove the LLM weakness underneath

admin3 months ago06 mins

Prompt injection is not a one-time filter problem. It comes from a basic limitation in large language models: they do not reliably separate instructions from data. That is why the strongest recent results come from stacked defenses rather than prompt hardening alone, and why AI agents connected to search, files, memory, or external tools remain…

Man in military uniform presenting to a group.

Military AI Needs More Than Vendor Guardrails or Pentagon Procurement Power

admin3 months ago06 mins

The Anthropic-Pentagon dispute made one point hard to ignore: military AI governance breaks down when legal boundaries are left to a fight between government authority and vendor-imposed safeguards. Anthropic barred use of its models for domestic surveillance of Americans and fully autonomous targeting; the Department of Defense responded by treating that refusal as a supply…

Codex Is Not Replacing Finance Reporting Systems; It Is Taking Over the Manual Drafting and QA Around Them

If Assistive Robots Are Going to Leave the Lab, Stretch 4 Shows What Has to Change First

ChatGPT at 900 Million Weekly Users Signals Two Markets Moving at Once

AI Inference Chips and AI-Native Wi-Fi Are Advancing Together, Not Separately

If a Campus Can Enforce AI Rules and Keep the Network Stable, OpenAI’s Student Club Push Becomes More Than Outreach

Orbital AI Data Centers in Space Are Now a Real Test Case, Not a Near-Term Replacement for Earth

Robot Hand Dexterity Is Moving on a Different Curve Than Generalist AI

As Codex Moves From Code Suggestions to Code Execution, OpenAI’s Security Model Gets Much More Granular

OpenAI’s GPT-5.5-Cyber rollout starts with access tiers, not a jump in autonomous hacking

Why Sardinia’s coal exit still hinges on trust, not just wind, solar, and cables

OpenAI’s Safety Fellowship Is Not a Generic Grant: It Trades Model Access for Structured, Governance-Focused Research

Google DeepMind’s New Safety Thresholds Draw a Line Between Measured Manipulation Risk and Real-World AI Behavior

Layered defenses are cutting prompt injection risk, but they do not remove the LLM weakness underneath

Military AI Needs More Than Vendor Guardrails or Pentagon Procurement Power