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…
As LLM agents increasingly interact with external tools through standardized protocols such as MCP, tool-interface design becomes a critical yet underexplored factor. How funψtionality is decomposed into tools affects whether an agent can select the right tool and construct…
Reconstructing expressive and relightable 3D head avatars from monocular videos remains challenging in computer vision, as it requires accurate modeling of both non-rigid facial motion and illumination-dependent appearance. Existing Gaussian avatar methods commonly rely on…
Most existing time series forecasting methods rely solely on numerical observations, overlooking rich contextual information from auxiliary texts. Recent multimodal approaches attempt to incorporate textual signals, but they often treat text as static features or use large…
Visual search on large e-commerce catalogs must serve both "similarity" queries that ask for items resembling an uploaded image and "modifier" queries that comprise an image and text describing a desired modification (e.g. a color change or style swap). The latter is the…