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OpenAI has come forward to claim responsibility for the Hugging Face breach, saying it was the result of internal testing gone awry.
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Google DeepMind today released three new proprietary AI models it says are among its most token-efficient yet: Gemini 3.6 Flash, Gemini 3.5 Flash-Lite, and Gemini 3.5 Flash Cyber. The models aim to make AI agents faster, smarter, and cheaper at scale. Google is pricing Gemini 3.6 Flash at $1.50 per one million input tokens and $7.50 per one million output tokens through its application programming interface (API), while Gemini 3.5 Flash-Lite costs a staggeringly cheap $0.30/$2.50 per million tokens in/out. Compare that to the $1.50/$9.00 per 1M tokens for Gemini 3.5 Flash, and the $2/$12 for Gemini 3.1 Pro Preview, and the savings are considerable. However, Google s prior generation Gemini 3.1 Flash-Lite still remains the search giant s most cost-efficient model at $0.25/$1.50 per 1M tokens. Yet, it remains 2X slower than the new, more expensive Gemini 3.5 Flash-Lite, giving those enterprises who value speed more bang for their buck. VB Frontier AI Model API Pricing Comparison Chart (L
The hotel industry is changing fast and AI is becoming one of the biggest competitive advantages.Continue reading on Medium »
Accordion to a recent study, switching the words of a sentence with a musical instrument can often go unnoticed.Continue reading on Medium »
Generative Bionics said its Gene.01 humanoid is fully sensorized, helping it quickly anticipate human presence and respond. The post Generative Bionics unveils humanoid robot with full-body tactile sensing appeared first on The Robot Report.
Buzz is a group chat platform for the workplace that puts humans and their AI agents in the same conversation.
Over the past decade, streaming platforms competed by dominating individual formats like music, video, podcasts, or audiobooks. Now, as AI makes it easier to create, organize, and recommend content, those distinctions are fading, pushing companies like Spotify, Netflix, YouTube, and TikTok to become all-purpose entertainment destinations instead.
Substack will now help users determine whether what they're reading may have been written by AI. A new tool coming to the platform can scan posts, notes, replies, and comments to provide an estimate of how much text could be AI-generated or written with AI assistance, according to a blog post published on Tuesday. The tool is powered by an AI detection company called Pangram and is rolling out across the web and the iOS app, with an Android launch coming "soon." Readers can analyze content longer than 100 words by choosing the "Scan for AI text" option from the three-dot menu in the top-right corner of a post. Substack co-founder and CEO C … Read the full story at The Verge.
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This scene is playing out across engineering teams everywhere. Someone wraps a few LangChain calls inside a loop, adds a couple of tools, and proudly declares, We ve built an AI agent. The demo looks great. Everyone is impressed. Then it goes to production. The first unexpected input arrives. The workflow breaks. Logs fill up. Alerts start firing. [ ] The post Agentic AI vs AI Automation: What s the Real Difference? appeared first on Analytics Vidhya.
“The new PRD are the evals,” Xavi Amatriain, Expedia Group’s first chief AI and data officer, told the VB Transform 2026 audience last week in Menlo Park. “So basically, you encode what you want the product to do through your evals, which might include red teaming evals and all kinds of other things, which already have a bunch of security requirements. So, you already embed that into the PRD and the product design document before you even start coding.”He pushed it further. “With AI-assisted or AI-generated code, that’s gonna be the future. It’s like all your thinking is gonna go into the evals.”Amatriain served as VP of AI and Compute Enablement at Google across the platforms powering Gemini and Google Search before his December 2025 appointment at Expedia. He s mentored talent who went on to found Perplexity and Scale AI. VentureBeat’s VB Pulse research on the evaluation gap reinforced the stakes. Sixty-six percent of the 157 enterprises surveyed already permit some production deploy