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Runtime Governance for Agentic AI: Action-Boundary Control with Trusted Provenance and Fail-Closed Execution
arXiv:2608.16891v1 Announce Type: new Abstract: Agentic AI systems request tool actions that can modify files, send messages, launch jobs, or change workflow state. This shifts the safety problem from harmful text generation to harmful operational side effects. Prompt-level governance can shape model behavior, but it does not create an execution boundary. We introduce Aegis, a runtime governance system that treats model outputs as action proposals and mediates them through a trusted decision layer before tool execution. The model proposes; the trusted runtime decides. Aegis evaluates proposals against active policy state, resolves provenance server-side, fails closed under uncertainty, and routes selected cases through Senate-style settlement, a quorum- based non-unilateral authorization path. We evaluate Aegis on a repeated sandbox corpus spanning five run families, 42 tasks, three conditions, and ten repeats per family. Across 6,300 rows, prompt-policy conditioning produced 79 risky
Linux Kernel Got “Too Big” from AI! Linus: AI Finds Small Bugs, but It’s the “New Normal”
Continue reading on CodeElevation »
Building an Event Registration System That Never Loses a Guest
Building an event registration process that validates, confirms, and waitlists attendees on its own.Continue reading on Medium »
GLM-5.3 hits the API at $1.4/$4.4 per million tokens
After a stunning debut last week with cyber capabilities so advanced they reportedly found a previously undetected vulnerability in Cursor, GLM-5.3, the new frontier open source language model from Chinese startup z.ai, has now hit the application programming interface (API) — allowing developers the ability to build atop it and plug it into their agents and applications. Developers who previously subscribed to a GLM Coding Plan are currently limited to the OpenAI Chat Completions-compatible protocol. Z.ai said it plans to make the model s weights openly available, but a precise date and licensing remain to be seen. On the API, the price is unchanged from GLM-5.2: $1.40 per million input tokens and $4.40 per million output tokens. Cached input costs $0.26 per million tokens, while Z.ai currently lists cached-input storage as free for a limited time. That means developers can move to the new generation without taking a higher posted per-token rate from Z.ai, even as the company claims s
AI and Humans Are Way More Alike Than You Think
We trained it on us. It s starting to show.Continue reading on Medium »
How to Get Your Business Found on ChatGPT, Gemini & Perplexity | GEO Guide 2026
Learn how Indian businesses can rank on ChatGPT, Gemini, and Perplexity with this complete GEO (Generative Engine Optimization) guide Continue reading on Medium »
POND: Towards an AI Ecosystem that is Personal & Private, On-Device & On-Premise, Nodal &…
For a Human-AI intelligence system that is:Continue reading on The Singularity Project »
The Buyer Is Bigger Than the Model
Obsolete AI Issue #026Continue reading on Medium »
Block’s new Apache 2.0 agent workspace Berd works across models and harnesses, stores conversation history locally
Block, the technology company founded by former Twitter CEO Jack Dorsey that owns Square, Cash App and the music streaming service Tidal, is open-sourcing Berd, a desktop application it originally built to give its own employees a single environment for working with AI agents across different models, tools and projects.Berd is a locally installed graphical desktop application rather than a browser-based workspace. It is available now on GitHub under a permissive Apache 2.0 license — meaning anyone can use, modify and redistribute it, including commercially — with free downloadable builds for macOS, Windows and Linux. The repository reached version 0.6.2 on Aug. 18, its seventh public release, and lists 91 contributors.“Berd is desktop-first because much of its value comes from working directly with projects, local files, tools, repositories, and agents running on or connected to the user’s computer,” Brad Axen, Head of AI Capabilities at Block, told VentureBeat in emailed responses.A d
Cursor capitalizes on GitHub frustration, launches rival hosting platform
Cursor, known for its AI Code Editor, is launching a new code-hosting platform to rival developers' long preferred favorite, GitHub.
AI usage patterns in software teams
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⚖️ We Demand More Fairness from AI Than from Humans. Why?
The EU AI Act demands fairness.Continue reading on Medium »