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Signals for 2026-08-08
Published 2026-08-08T08:16+02:00
10 geselecteerde signalen uit de lokale hybride Daily Signal Brief pipeline.
Simon Willison
On Wednesday I wrote about One-shotting a Raccoon Heist game using Claude Fable 5 , where I had Claude Fable 5 build a full working game from a premise I generated with GPT-3 and DALL-E four years ago . I decided to pose the exact same prompt to Codex Desktop running GPT-5.6 Sol Ultra - the mode where Sol makes aggressive use of sub-agents - to see how it would do.
#agent #agentic-workflows #builder
Simon Willison
OpenAI gave a last-minute presentation at the Black Hat security on Wednesday about "the Hugging Face Incident" ( previously on this blog). The video was published yesterday.
#evals #research-evals
Simon Willison
There's a fun anecdote from Accenture (apparently via leaked meeting audio recordings) in this 404 Media piece from June 24th: “We’re seeing from some of the data internally at least that it’s actually not our engineers that are driving the token consumption.
#agent #agentic-workflows
TechCrunch AI
Kitesurf is a cloud-hosted browser designed for AI agents instead of people. It uses less computing power than Chromium for common automation tasks, helping developers build browser-based AI agents more efficiently.
#agent #agentic-workflows #builder
The Decoder
Amazon, Cursor, Microsoft, OpenAI, and Vercel have jointly created Agent Plugins, an open standard that defines a single package format for AI agent extensions. Version 1.0.0 uses a plugin.json manifest file and supports both agent skills and MCP servers.
#agent #builder #tooling-runtime
arXiv reasoning / agents / evals
LLM-based agentic systems have shown remarkable capabilities in complex domains, while suffering from cascading errors and difficulty in debugging. Critical error detection aims to locate the earliest error step in a failed trajectory that is responsible for the final failure.
#agent #builder #evals #research-evals
arXiv reasoning / agents / evals
Large language models (LLMs) increasingly support complex professional tasks, yet their capabilities in rule-intensive document review remain insufficiently evaluated. National standard documents, such as China GB/T standards, offer a representative testbed: they are lengthy, highly structured, and governed by explicit rules for scope, terminology, normative wording, and cross-section consistency.
#evals #research-evals
arXiv reasoning / agents / evals
Retrieval-augmented generation over long documents is dominated by one design: chunk the text, embed the chunks, and surface the top-k nearest neighbours of the query. We argue that for an important class of documents -- financial statements, audit reports, regulatory returns -- this design is structurally unsound, and we make the argument measurable.
#agent #evals #implementation #research-evals
The Decoder
Internal tests of OpenAI's new AI model Astra show cybersecurity capabilities so strong that the company can no longer rule out the highest risk level in its own safety framework. Parts of Astra's development have been paused.
#agent #agentic-workflows
Platformer
Amjad Masad on the "self-driving company," why a CEO is a glorified router, and what's left for humans when agents do the work
#agent #agentic-workflows