AI & RoboticsNews

Hugging Face: 5 ways enterprises can slash AI costs without sacrificing performance

Enterprises seem to accept it as a basic fact: AI models require a significant amount of compute; they simply have to find ways to obtain more of it. But it doesn’t have to be that way, according to Sasha Luccioni, AI and climate lead at Hugging Face. What if there’s a smarter way to use AI? What if, instead of striving for more (often unnecessary) compute and ways to power it, they can focus…
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AI & RoboticsNews

Gartner: GPT-5 is here, but the infrastructure to support true agentic AI isn’t (yet)

Here’s an analogy: Freeways didn’t exist in the U.S. until after 1956, when envisioned by President Dwight D. Eisenhower’s administration — yet super fast, powerful cars like Porsche, BMW, Jaguars, Ferrari and others had been around for decades.  You could say AI is at that same pivot point: While models are becoming increasingly more capable, performant and sophisticated, the critical…
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AI & RoboticsNews

Ai2’s MolmoAct model ‘thinks in 3D’ to challenge Nvidia and Google in robotics AI

Physical AI, where robotics and foundation models come together, is fast becoming a growing space with companies like Nvidia, Google and Meta releasing research and experimenting in melding large language models (LLMs) with robots.  New research from the Allen Institute for AI (Ai2) aims to challenge Nvidia and Google in physical AI with the release of MolmoAct 7B, a new open-source model that…
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AI & RoboticsNews

The end of perimeter defense: When your own AI tools become the threat actor

Russia’s APT28 is actively deploying LLM-powered malware against Ukraine, while underground platforms are selling the same capabilities to anyone for $250 per month. Last month, Ukraine’s CERT-UA documented LAMEHUG, the first confirmed deployment of LLM-powered malware in the wild. The malware, attributed to APT28, utilizes stolen Hugging Face API tokens to query AI models, enabling real-time…
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