AI Insider·
Meta is rolling out its Meta Business Agent globally on WhatsApp and Instagram DMs, bringing AI-powered customer interaction tools to small and medium businesses after nearly two years of testing in markets including India and Mexico. The AI agent can answer customer queries, recommend products, book appointments, qualify sales leads, and escalate conversations to human […]
Read full articleThe U.S. Justice Department said a joint public-private operation disrupted more than 1.4 million accounts linked to Southeast Asian scam networks. The effort also helped freeze more than $3.8 million in cryptocurrency tied to funds stolen from Americans. DOJ Targets Southeast Asia Scam Networks, Freezing $3.8M in Stolen Crypto The U.S. Justice Department said it […]
As fake citations and AI hallucinations creep into Indian courtrooms, the apex court is drawing a strict line between human judgement and machine assistance.
Artificial intelligence does not advance at the same pace across industries. It presses forward in some directions while lagging behind in others. Spend time with today’s most advanced AI applications, and this contrast becomes obvious. In software development, AI is quickly becoming ubiquitous. It writes production-ready code, explains obscure libraries, and iterates at a pace human teams have difficulty matching. But place that same AI model inside a complex customer support workflow or ask it to reason through a nuanced clinical scenario, and the cracks begin to show. Multi-step reasoning falters. Context gets lost. Performance drops in ways that can seem inconsistent with the model’s strengths elsewhere. These AI models are often similar. They run on similar hardware and are often trained in similar ways. So why the mismatch in performance across tasks? The simplest explanation is also the most overlooked: data. Software engineering benefits from an immense, structured, and highly
Coinbase froze over $3M in crypto as DOJ, Meta, Microsoft and Starlink disrupted Southeast Asia scam networks and 1.4M online accounts.
The breach highlights the critical need for robust authentication in AI systems, challenging the safety assumptions of large-scale AI deployments. The post Meta’s AI chatbot breach exposes security flaws, impacts high-profile accounts appeared first on Crypto Briefing.
The startup's own stack for Africa and Middle East is now handling more than 17,000 calls per day.
Mark Zuckerberg expands group’s AI push as it seeks to turn messaging app into bigger business
WhatsApp will charge businesses for using its AI agent based on token usage
