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362 results for “AI Agents”
… is about LocalAI is an open-source tool that places local AI models behind an API that behaves like familiar cloud LLM interfaces. The practical core: teams can run language, image, audio, and other backends on their own …
… 24, 2026 about the cybersecurity implications of recent AI advances. It matters because the debate moves away from individual tools and toward a systems question: is AI changing the balance between attackers and …
… the previous year. For malicious attacks categorized as AI-enabled, IBM cites an average of about $6 million. This is interesting even though it comes from a major vendor, because the number describes a concrete budget …
… can bend a live conversation, this is no longer a cosmetic AI problem. It is classic fraud with a very convincing wrapper. What Dialogflow CX actually does Dialogflow CX is a platform for structured conversations. …
What this is about ChatCut is a web-based AI video editor that became highly visible on Product Hunt in July 2026. The tool promises natural-language video editing: cutting talking-head footage, adding captions, adding …
… square feet. This is more than a local factory opening. AI is usually discussed through models, benchmarks, and chatbots. This story shows the other half: anyone who wants AI at scale needs servers, power, supply chains, …
… one customer. It is a test of whether especially capable AI models are treated like cloud software or like strategic technology whose access can be restricted by the state at short notice. For companies building core …
… and allow finer access control. New keys created in Google AI Studio are now created as authorization keys by default, according to the documentation. For existing projects there are two realistic paths. Teams can …
AI capex is squeezing Tencent's and Alibaba's earnings On May 8, 2026, Bloomberg reported that Tencent's and Alibaba's quarterly and full-year 2026 results will be shaped by the rise in their AI spending. Bloomberg …
What this is about A new arXiv study examines an old AI policy problem through a simple behavioral experiment: why do actors in a technology race choose risky development even when safety benefits everyone? The title is …
