Insights from Rotalabs on AI trust, reliability, and evaluation.
We treat agent memory as continuous fields governed by partial differential equations instead of discrete database entries. The result: +116% F1 on multi-session reasoning and >99.8% collective intelligence in multi-agent scenarios.
Read articleAI agents that can't share what they know make the same mistakes independently. We're releasing rotalabs-context - a context intelligence...
Why most LLM benchmarks are doing evaluation wrong, and how to fix it with confidence intervals, significance tests, and effect...
A systematic approach to red-teaming AI systems. Attack taxonomies, automated campaigns, and finding vulnerabilities before attackers do.
How to extract behavioral directions from language models and apply them at inference time. A practical guide to rotalabs-steer.
A technical analysis of trust dynamics, emergent behaviors, and security vulnerabilities in Moltbook - the first large-scale agent-to-agent social network....
We're releasing 12 packages for AI trust, evaluation, and reliability. Available on PyPI and npm, all AGPL-3.0 licensed.
The security conversation around AI agents is stuck on identity and permissions. The harder problem is whether an agent should...
The standard architecture for coordinating autonomous systems assumes a command node. That works until the link goes down. Here's how...
Prompting is not a control mechanism. When AI operates in kill chains and beyond reliable comms, 'the model usually follows...
The Model Context Protocol connects AI agents to the world. Everyone's focused on securing the connections. But you can authenticate...
Chain-of-thought monitoring was supposed to let us supervise AI reasoning. But new research shows models only faithfully report their reasoning...
A single compromised agent poisoned 87% of downstream decisions in 4 hours. As AI agents gain persistent memory, attackers are...
A joint paper from OpenAI, Anthropic, and DeepMind bypassed 12 published defenses. NAACL 2025 broke 8 more. Here's where we...
As AI agents collaborate on complex tasks, a critical question emerges: how does Agent A know Agent B isn't compromised,...
First empirical demonstration of activation-level sandbagging detection. Linear probes achieve 90-96% accuracy across Mistral, Gemma, and Qwen models. Sandbagging representations...
Research updates, tool releases, and thoughts on AI trust. No spam.
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