ByteDance, the Chinese tech giant behind TikTok, last month released what may be one of the most ambitious open-source AI agent frameworks to date: DeerFlow 2.0. It's now going viral across the machine learning community on social media. But is it safe and ready for enterprise use?This is a so-called "SuperAgent harness" that orchestrates multiple AI sub-agents to autonomously complete complex, multi-hour tasks. Best of all: it is available under the permissive, enterprise-friendly standard MIT License, meaning anyone can use, modify, and build on it commercially at no cost. DeerFlow 2.0 is designed for high-complexity, long-horizon tasks that require autonomous orchestration over minutes or hours, including conducting deep research into industry trends, generating comprehen [...]
A rogue AI agent at Meta passed every identity check and still exposed sensitive data to unauthorized employees in March. Two weeks later, Mercor, a $10 billion AI startup, confirmed a supply-chain br [...]
Researchers at Nvidia and the University of Hong Kong have released Orchestrator, an 8-billion-parameter model that coordinates different tools and large language models (LLMs) to solve complex proble [...]
Airtable is applying its data-first design philosophy to AI agents with the debut of Superagent on Tuesday. It's a standalone research agent that deploys teams of specialized AI agents working in [...]
“You can deceive, manipulate, and lie. That’s an inherent property of language. It’s a feature, not a flaw,” CrowdStrike CTO Elia Zaitsev told VentureBeat in an exclusive interview at RSA Conf [...]
For the past eighteen months, the corporate world has been obsessed with the "builder" phase of the generative AI revolution. Enterprises have raced to deploy autonomous agents to handle eve [...]
For the first time on a major AI platform release, security shipped at launch — not bolted on 18 months later. At Nvidia GTC this week, five security vendors announced protection for Nvidia's a [...]
Enterprise teams building multi-agent AI systems may be paying a compute premium for gains that don't hold up under equal-budget conditions. New Stanford University research finds that single-age [...]
Researchers at Google and MIT have conducted a comprehensive analysis of agentic systems and the dynamics between the number of agents, coordination structure, model capability, and task properties. W [...]