Google DeepMind is worried about what happens when millions of agents start to interact

Concept art from Dear Upstairs Neighbors that used to train custom builds of Google’s Veo and Imagen models. | Image: Google DeepMind For all the noise that's been made about how generative AI is poised to revolutionize the filmmaking industry, there haven't really been any projects created with the technology that felt like the sort of entertainment people would pay to see. Most AI firms' video models are still only capable of churning out short bursts of visually inconsistent footage. And some of Hollywood's biggest AI partnerships have suddenly evaporated in ways that make it seem like studios might not be able to rely on the new technology coming out of Silicon Valley. For the most part, short-form video slop appears to be the only thing that major production houses ar … Read the full story at The Verge.

DeepMind's exploration of AGI to ASI pathways highlights potential transformative impacts on technology, ethics, and societal structures. The post Google DeepMind explores pathways from AGI to ASI in new 60-page paper appeared first on Crypto Briefing.

The new DiffusionGemma open model generates text in parallel — not one token at a time — and is optimized to run on the NVIDIA RTX PRO platform, NVIDIA DGX […] The post NVIDIA Accelerates Google DeepMind’s DiffusionGemma for Local AI appeared first on AIwire.

CIOs and CISOs have many strategic and operational fears when it comes to unleashing fully-autonomous agents on tasks and hoping that everything works out. Will the agent start to delete critical files? Will the agent go off on a mission tangent and generate a massive token bill for the team when they return the next morning? Will it be tricked by a state actor and engage in malicious actions? To help alleviate those concerns, OpenAI announced on Thursday that it has agreed to acquire Ona, a 79 person cloud development environment (CDE) provider formerly known as Gitpod, to accelerate its efforts to make agentic AI enterprise-friendly.  An OpenAI statement said Ona’s technology “provides secure, persistent environments where agents can access the tools, systems, and context they need to make progress over time. By bringing Ona to OpenAI, we will expand Codex beyond work tied to a single device or active session and help more organizations deploy agents securely in production.” An Ona s

A new benchmark study found AI agents remain vulnerable to prompt injection attacks as companies increasingly roll out the technology to the public.

Kimi Work's local AI agents could revolutionize productivity by enhancing data privacy and efficiency in complex workflows. The post Moonshot AI’s Kimi Work unleashes 300 AI agents on your desktop, no cloud required appeared first on Crypto Briefing.

Kimi Work lets an AI agent loose on your local files, your browser, and your schedule—without routing everything through the cloud.

Cursor has changed how developers write code. The agent mode is good: you describe what you want, it reasons through the problem, picks the right tools, and ships working code. For greenfield projects and standard libraries, it works smoothly. Where it gets harder is when you’re building agents on a specialized platform with its own... The post Build with Cursor and deploy production-ready AI agents on DataRobot appeared first on DataRobot.