I sent out the October edition of my sponsors-only monthly newsletter. If you are a sponsor (or start a sponsorship now) you can access it here. This month: The October inflection point for vibe game development The vulnerability apocalypse gets hot LLM releases API credits for $100+/month subscriptions What I'm using right now My software releases My September newsletter can now be seen here, as a preview of what you'll get.
October sponsors-only newsletter
About this summary. This is a short excerpt from the description that Simon Willison published with its article. Cyber Security News did not report or verify the underlying story. Read the original: https://simonwillison.net/2026/Nov/3/october-newsletter/
Source attribution: headline and facts are from Simon Willison (simonwillison.net). Summary method: excerpt of the source description. See our source attribution policy.
Related coverage
The Web Doesn't Sit Still: Adversarial Self-Evolving Attacks on Search Agents
arXiv:2611.03754v1 Announce Type: new Abstract: Large Language Models (LLMs) have shown promise for empowering search agents to tackle complex information-seeking tasks…
CloakFEM: Agentic FEM Code Generation for Red-Teaming Computational Resource Exhaustion
arXiv:2611.04356v1 Announce Type: new Abstract: Finite element method (FEM) solvers are foundational to scientific and engineering simulation, yet their susceptibility…
Characterizing LLM Agent Behaviors in Module Shadowing Environments
arXiv:2610.40716v1 Announce Type: new Abstract: LLM agents operating in untrusted workspaces face the risk of untrusted code execution during routine tasks, yet final…
MetaVul: Agentic Harness Discovery for Vulnerability Detection
arXiv:2610.40721v1 Announce Type: new Abstract: LLM agents are increasingly used to automate vulnerability detection, but reliable detection is challenging because…
RiskyPy: Toward Model-Calibrated Prompt Generation for Joint Security and Functionality Evaluation of LLM-Generated Code
arXiv:2610.40735v1 Announce Type: new Abstract: Evaluating approaches that improve the security of LLM code generation requires datasets that jointly assess security and…
Safin-1.5: Safety-Native Architecture and Verifiable Reasoning for Recursive Safety Improvement
arXiv:2610.40751v1 Announce Type: new Abstract: Recursive self-improvement (RSI) enables large language models to advance their capabilities through successive updates…