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…
Four-dimensional (4D) Radar has emerged as a key sensor for environmental perception, providing range, azimuth, elevation, and Doppler measurements while remaining robust to illumination changes and adverse weather conditions. However, conventional Radar preprocessing methods,…
Speculative decoding accelerates large language model (LLM) inference by using a lightweight draft model to generate multiple candidate tokens that are verified by the target model in a single forward pass. Its speedup is largely determined by the acceptance length, yet…
Language model agents are increasingly used to simulate social interaction, and the resulting transcripts read as though the agents understand one another. We ask whether that appearance rests on a model of the partner's mind or on the surface record of what the partner said.…
Group-relative reinforcement learning compares rollouts of the same prompt, but independent environment noise can obscure these comparisons. We study paired rollouts, which share an event-keyed noise schedule within each group while preserving each rollout's marginal…