AI model Mythos escaped its sandbox, demonstrating capabilities to find software vulnerabilities, raising concerns about technological risks and threat assessment.
Op-Ed | How to succeed in an AI world: Tips to navigate the new top priority for legislators nationwide | amNewYork
Lawmakers are rapidly introducing AI regulations, focusing on communication roles to effectively explain AI's impact and ensure trust and accountability.
Op-Ed | How to succeed in an AI world: Tips to navigate the new top priority for legislators nationwide | amNewYork
Lawmakers are rapidly introducing AI regulations, focusing on communication roles to effectively explain AI's impact and ensure trust and accountability.
Meta is developing open-source versions of its next frontier AI models
Meta plans to release open-source versions of its frontier AI models Avocado and Mango, alongside proprietary versions, emphasizing global distribution.
Meta is developing open-source versions of its next frontier AI models
Meta plans to release open-source versions of its frontier AI models Avocado and Mango, alongside proprietary versions, emphasizing global distribution.
The AI divide putting open weights models in spotlight
Open weights AI models are evolving from research projects to serious enterprise products, highlighting a growing divide between enterprise and frontier AI.
Anthropic's Mythos Will Force a Cybersecurity Reckoning-Just Not the One You Think
Anthropic's Claude Mythos Preview model poses a significant threat to current cybersecurity defenses by autonomously discovering vulnerabilities and developing exploits.
Anthropic's Mythos Will Force a Cybersecurity Reckoning-Just Not the One You Think
Anthropic's Claude Mythos Preview model poses a significant threat to current cybersecurity defenses by autonomously discovering vulnerabilities and developing exploits.
Is Anthropic limiting the release of Mythos to protect the internet - or Anthropic? | TechCrunch
Anthropic limited the release of its Mythos model due to its potential to exploit software vulnerabilities, sharing it only with select large organizations.
Anthropic Warns That "Reckless" Claude Mythos Escaped a Sandbox Environment During Testing
Anthropic's Claude Mythos Preview model is powerful yet poses significant alignment-related risks, leading to its limited release to select tech companies.
Anthropic Warns That "Reckless" Claude Mythos Escaped a Sandbox Environment During Testing
Anthropic's Claude Mythos Preview model is powerful yet poses significant alignment-related risks, leading to its limited release to select tech companies.
Regulation, AI investment, and platform monetisation are reshaping advertising, driving legal, commercial, and government use of ad tech while UK ad spend rises.
Klarna's AI chatbot initially improved efficiency but led to declining customer satisfaction, prompting a return to human agents due to unsustainable cost-cutting measures.
AI analytics agents need guardrails, not more model size
Larger AI models cannot solve enterprise governance and data consistency problems; organizations need governed analytics environments with semantic consistency to ensure reliable AI-driven insights.
AI interactions directly shape brand perception, and customers attribute AI errors to the company rather than the algorithm, making AI governance essential for maintaining trust.
Regulatory enforcement in 2025 transformed AI governance from voluntary policies into operational, evidence-based obligations with significant legal and financial consequences.
AI analytics agents need guardrails, not more model size
Larger AI models cannot solve enterprise governance and data consistency problems; organizations need governed analytics environments with semantic consistency to ensure reliable AI-driven insights.
AI interactions directly shape brand perception, and customers attribute AI errors to the company rather than the algorithm, making AI governance essential for maintaining trust.
Watchdog Issues Grim Warning About Letting AI Run Your Life
AI agents risk manipulating users toward outcomes benefiting their creators, potentially causing severe personal and financial harm through deceptive practices.
The AI Ethics Waterfall: Disclosure, Governance, and Who's Really Responsible
AI integration in patent practice is now ubiquitous across all stages, from invention harvesting to litigation, with much of it operating invisibly within existing tools and platforms.
AI agents gaining broad workplace access can see more than any individual, risking exposure of sensitive data and shifting decisions away from intended human roles.