OpenClaw’s Skill Marketplace and the Emerging AI Supply Chain Threat
Agent skill marketplaces introduce supply-chain risk when third-party skills can execute actions or collect data. Relevant to vetting, provenance, and containment controls.
Research archive, page 27
Browse entries 625–648 of 1531. Return to the first page to search and filter the complete collection.
Play video
Doors of (AI)pportunity: The Front and Backdoors of LLMs - Kasimir Schulz & Kenneth Yeung
NDC AI 2025 talk on LLM frontdoors and backdoors, jailbreak techniques, control-token abuse, local model compromise, and how attackers or insiders can manipulate model behavior.
The OECD AI Policy Toolkit: Better AI policies for better lives
OECD policy toolkit for turning AI principles into practical public-policy actions. Relevant as governance and compliance context, though less technical than most library items.
Introducing Google AI Threat Defense to help you outpace the adversary
AI Threat Defense is a comprehensive AI-powered cybersecurity solution, an always-on security platform to outpace AI-driven attacks.
Gemini 3.5: frontier intelligence with action
Gemini 3.5 is built to help you execute complex, agentic workflows.
Play video
Harness Engineering: How to Build Software When Humans Steer, Agents Execute — Ryan Lopopolo, OpenAI
AI Engineer session on Harness Engineering: How to Build Software When Humans Steer, Agents Execute, presented by Ryan Lopopolo, OpenAI. It adds practical context for how teams are building and operating AI systems in production.
Play video
Paperclip: Open Source Human Control Plane for AI Labor — Dotta Bippa
AI Engineer session on Paperclip: Open Source Human Control Plane for AI Labor, presented by Dotta Bippa. It adds practical context for how teams are building and operating AI systems in production.
Designing transparency for government AI: Insights from the UK’s Algorithmic Transparency Recording Standard initiative
How the UK’s ATRS strengthens algorithmic transparency, public trust and accountability in government AI.
Play video
Your Insecure MCP Server Won't Survive Production — Tun Shwe, Lenses
AI Engineer session on Your Insecure MCP Server Won't Survive Production, presented by Tun Shwe, Lenses. It adds practical context for how teams are building and operating AI systems in production.
Play video
Judge the Judge: Building LLM Evaluators That Actually Work with GEPA — Mahmoud Mabrouk, Agenta AI
AI Engineer session on Judge the Judge: Building LLM Evaluators That Actually Work with GEPA, presented by Mahmoud Mabrouk, Agenta AI. It adds practical context for how teams are building and operating AI systems in production.
To be truly participative, stakeholder involvement should follow an AI system’s entire lifecycle
Participatory AI often stops at consultation. Why governance infrastructure, community authority and lifecycle oversight are essential for trustworthy AI.
Why AI Sandboxes matter for responsible innovation and public trust
AI regulatory sandboxes in AI governance: benefits, design, global examples and policy insights to foster innovation, trust and compliance.
Gemini 3.1 Pro: A smarter model for your most complex tasks
3.1 Pro is designed for tasks where a simple answer isn’t enough.
Play video
How to Build Planning Agents without losing control - Yogendra Miraje, Factset
AI Engineer session on How to Build Planning Agents without losing control - Yogendra Miraje, Factset. It adds practical context for how teams are building and operating AI systems in production.
Play video
LLM Safeguards: Security Privacy Compliance Anti Hallucination: Daniel Whitenack
AI Engineer session on LLM Safeguards: Security Privacy Compliance Anti Hallucination: Daniel Whitenack. It adds practical context for how teams are building and operating AI systems in production.
Play video
GPT-4o Mini Arrives In Global IT Outage, But How ‘Mini’ Is Its Intelligence?
This AI Explained video reviews a major AI development through the lens of benchmarks and evaluation evidence. It is useful context for AI engineering, evaluation, governance, and operational risk.
Play video
GPT-4o - Full Breakdown + Bonus Details
This AI Explained video reviews a major AI development through the lens of benchmarks and evaluation evidence. It is useful context for AI engineering, evaluation, governance, and operational risk.
Play video
A 100T Transformer Model Coming? Plus ByteDance Saga and the Mixtral Price Drop
This AI Explained video reviews a major AI development through the lens of multimodal generation and provenance. It is useful context for AI engineering, evaluation, governance, and operational risk.
Play video
Gemini Full Breakdown + AlphaCode 2 Bombshell
This AI Explained video reviews a major AI development through the lens of benchmarks and evaluation evidence. It is useful context for AI engineering, evaluation, governance, and operational risk.
Play video
Shipping AI That Works: An Evaluation Framework for PMs — Aman Khan, Arize
AI Engineer session on Shipping AI That Works: An Evaluation Framework for PMs, presented by Aman Khan, Arize. It adds practical context for how teams are building and operating AI systems in production.
Play video
Welcome to AIE CODE - Jed Borovik, Google DeepMind
AI Engineer session on Welcome to AIE CODE - Jed Borovik, Google DeepMind. It adds practical context for how teams are building and operating AI systems in production.
Play video
Code World Model: Building World Models for Computation — Jacob Kahn, FAIR Meta
AI Engineer session on Code World Model: Building World Models for Computation, presented by Jacob Kahn, FAIR Meta. It adds practical context for how teams are building and operating AI systems in production.
Play video
Scaling AI Agents Without Breaking Reliability — Preeti Somal, Temporal
AI Engineer session on Scaling AI Agents Without Breaking Reliability, presented by Preeti Somal, Temporal. It adds practical context for how teams are building and operating AI systems in production.
Play video
AI Red Teaming Agent: Azure AI Foundry — Nagkumar Arkalgud & Keiji Kanazawa, Microsoft
AI Engineer session on AI Red Teaming Agent: Azure AI Foundry, presented by Nagkumar Arkalgud & Keiji Kanazawa, Microsoft. It adds practical context for how teams are building and operating AI systems in production.