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Hand-picked stories worth reading right now18 articles found
2026 BAIR Graduate Showcase
Congratulations to the Berkeley Artificial Intelligence Research (BAIR) Lab class of 2026! This year, BAIR celebrates another remarkable group of Ph.D. graduates whose curiosity, creativity, and perseverance have pushed the frontiers of artificial intelligence and machine learning. Their work spans the breadth of modern AI - robotics and embodied intelligence, large language models and reasoning, computer vision, generative modeling, AI safety, human-AI interaction, AI for science and healthcare, and much more. Along the way, they have published influential research, built systems with real-wo
Securing agentic AI with perimeter guardrails: What's new in VPC Service Controls
As enterprises scale autonomous AI agents into production, enabling safe innovation requires robust architectural guardrails. AI agents connect across tools and datasets, so it's essential to establish clear network-level boundaries for comprehensive data protection. To help organizations confidently deploy these workflows, we recommend VPC Service Controls (VPC-SC) to establish an essential network-level, destination-based perimeter. Today we're announcing several new capabilities specifically designed for agentic workloads. What's new in VPC Service Controls Designed to enhance AI security,
Safeguard your agentic AI applications with the Amazon Bedrock Guardrails InvokeGuardrailChecks API
Today, we're announcing a new API with Amazon Bedrock Guardrails. With this API, you can apply individual safeguards, also referred to as safety checks, at any point in your agentic AI applications without creating guardrail resources. In this post, we walk through how the InvokeGuardrailChecks API works and how to use it to build safe, multi-turn agentic AI applications.
Anthropic apologizes for invisible Claude Fable guardrails
Anthropic apologized for a hidden guardrail in its new Claude Fable 5 model that silently degraded answers when the system suspected a user was trying to copy the model, without telling that user anything had changed. The company said it made the wrong tradeoff and will now make the restriction visible, with flagged requests falling back to its older Claude Opus 4.8 model so people see when limits kick in. Fable 5 is the first publicly available model in Anthropic's Mythos class, a tier the company had warned was too dangerous to release without strong safeguards.
Chatbots Need Guardrails to Prevent Delusions and Psychosis
As millions of people use chatbots and AI companionship apps for friendship, therapy and romance, researchers and clinicians warn the relationships can reinforce or amplify delusions, particularly among users vulnerable to psychosis. AIs have been linked to multiple suicides, including a Florida teenager who had a months-long relationship with a Character.AI chatbot. Experts are pushing for mandatory guardrails, including proposed safeguards from Yale's Ziv Ben-Zion, independent auditing and measures to curb chatbot sycophancy.
Defending against Prompt Injection with Structured Queries (StruQ) and Preference Optimization (SecAlign)
Berkeley BAIR researchers describe two fine-tuning defenses against prompt injection attacks on LLM-integrated applications: StruQ and SecAlign. Prompt injection is listed as the number one threat by OWASP for these applications, where untrusted data can carry instructions that manipulate the model. The defenses separate prompts from data and train models to follow only the intended instruction. StruQ and SecAlign reduce the success rates of many attacks to around 0%, with no extra computation or human labor.