Our quest to build a scalable, LLM-safe design system
Project Glasswing: what Mythos showed us
In recent weeks, we pointed Mythos and other security-focused LLMs at live code across critical parts of our infrastructure. We share what we observed, the models’ strengths and weaknesses, and what the work around them needs to look like before any of it can scale.
Extensible Software in the age of LLMs | Jeremy Morrell
Solid core + capability-based sandboxes + LLMs = Users with superpowers
Open by Design: ROOST's Approach to Safety Tool Development
Developer Ecosystems for Software Safety
How to design and implement information systems so they are safe and secure is a complex topic. Both high-level design principles and implementation guidance for software safety and security are well established and broadly accepted. For example, Jerome Saltzer and Michael Schroeder’s seminal overview of principles of secure design was published almost 50 years ago,10 and various community and governmental bodies have published comprehensive best practices about how to avoid common software weaknesses—for example, Common Weakness Enumeration (CWE)a and Open Worldwide Application Security Project (OWASP) Cheat Sheet Series.b
The Ultimate Guide to Fine-Tuning LLMs from Basics to Breakthroughs: An Exhaustive Review of Technologies, Research, Best Practices, Applied Research Challenges and Opportunities (Version 1.0)
Reuse your existing hardware to run LLMs privately and securely.
Trellis lets you run large language models on your organization's compute. Scale and data privacy, choose both.
Designing Systems | Atomic Design by Brad Frost
Learn how to create and maintain digital design systems, allowing your team to roll out higher quality, more consistent UIs faster than ever before.
One year as an AI Engineer: The 5 biggest misconceptions about LLM reliability I've encountered
535 votes, 59 comments. After spending a year building evaluation frameworks and debugging production LLM systems, I've noticed the same…
open-slopware
Free/Open Source Software choosing to use and/or support LLM usage/AI, as well as alternatives and tips to requesting better policies or forking.
The Big LLM Architecture Comparison
From DeepSeek-V3 to Kimi K2: A Look At Modern LLM Architecture Design
MCP and LLM Security Research Briefing | Wiz Blog
Explore the evolving Model Context Protocol (MCP), its security risks, and how to prepare for safe adoption as LLMs connect to external systems.
Robust Open Online Safety Tools
Robust Open Online Safety Tools
The rebel alliance
This blog is co-authored with Zoe Weinberg and Matt Hawes at ex/ante, and is a follow-up to our first blog post on the topic, 'You don't own your memory.' We need an open architecture that puts us in control of our memories while making their exploitation technically impossible. But how will this shift happen? In order to discover possible implementations, we must understand how our data informs LLMs. The three predominant context engineering techniques are prompt design, retrieval-augmented ...
3M LifeLab SXSW | SOFTlab | Archinect
We worked with 3M and BBDO to create the 3M LifeLab at SXSW. The structure was not simply a space that showcased 3M products, but was created using some of the amazing materials created by 3M. We designed a multi-functional structure that acted as a ceiling, spatial divider...
Sensitive data + tool use + LLMs + app-centric security model = danger. LLMs turn any text into potentially executable instructions, exploding the attack surface of traditional security models.
Simon Willison
Just blogged my hunch that the Apple intelligence Siri delay is because of security concerns around prompt injection here simonwillison.net/2025/Mar/8/delaying-personali…
