Meta Platforms, Inc. launched its Muse personal AI agent after CEO Mark Zuckerberg identified AI agents as a potential new source of products and revenue. Zuckerberg Sees AI Agents as Meta’s Next Growth Driver During Meta’s second-quarter earnings call in...
As Amazon blocks AI agents from shopping on its site, Walmart is taking the opposite approach, introducing new technology that lets AI agents make purchases on customers' behalf, with controls over spending and transaction approvals.
By Alexandre Kech, CEO at GLEIFAI agents can discover services, negotiate terms, analyze data, and initiate transactions for people and organizations. In financial services, this creates a governance challenge: how can other parties determine which organization stands behind an agent, who authorized it, and whether an action falls within that authority?As GLEIF’s most recent working paper on agentic payments observes, existing legal frameworks can generally allocate responsibility. The immediate
Six themes cover agent security, logging and who counts as controller, feeding a statutory code on AI and automated decisions. What will the ICO expect next?
DeepSeek-V4.1-Flash-1017 is a minor update to DeepSeek-V4.1-Flash, delivering substantial improvements across reasoning, coding, agentic tasks, and visual benchmarks. Alongside these gains, the model reduces task execution time and output length, enabling users to complete…
OpenAI's GPT-5.6 Sol discovered a critical PHP vulnerability as part of the Patch the Planet initiative that could affect millions of websites. Security firm Wiz independently found the same flaw using Google's Gemini 4 Argon. OpenAI warns that the same AI capabilities that…
Sparse variational Gaussian processes (SVGPs) are a widely used, principled approach to scalable Gaussian process modelling. Their success stems from their theoretically interpretable structure: they provide a lower bound on the marginal likelihood of the full GP while allowing…
Adapting Vision Foundation Models (VFMs) to medical imaging via LoRA has become standard practice, yet model selection is guided almost entirely by downstream task metrics, treating backbones with similar performance as interchangeable. We investigate whether equal performance…