Experimental News Clipping Site

Tag: air

  • Cloud Blog: Kubernetes, your AI superpower: How Google Kubernetes Engine powers AI innovation

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/containers-kubernetes/how-gke-powers-ai-innovation/ Source: Cloud Blog Title: Kubernetes, your AI superpower: How Google Kubernetes Engine powers AI innovation Feedly Summary: The age of AI is now. In fact, the global AI infrastructure market is on track to increase to more than $200 billion by 2028.  However, working with massive data, intricate models, and relentless iterations…

  • Cloud Blog: Cloud WAN: Connect your global enterprise with a network built for the AI era

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/networking/connect-globally-with-cloud-wan-for-the-ai-era/ Source: Cloud Blog Title: Cloud WAN: Connect your global enterprise with a network built for the AI era Feedly Summary: For over 25 years, Google has pushed the boundaries of the network, with innovations that connect billions of users around the world to essential services like Gmail, YouTube, and Search. At the…

  • The Register: Copyright-ignoring AI scraper bots laugh at robots.txt so the IETF is trying to improve it

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/04/09/ietf_ai_preferences_working_group/ Source: The Register Title: Copyright-ignoring AI scraper bots laugh at robots.txt so the IETF is trying to improve it Feedly Summary: Recently formed AI Preferences Working Group has August deadline to deliver proposals The Internet Engineering Task Force has chartered a group it hopes will create a standard that lets content creators…

  • The Register: Meta accused of Llama 4 bait-and-switch to juice AI benchmark rank

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/04/08/meta_llama4_cheating/ Source: The Register Title: Meta accused of Llama 4 bait-and-switch to juice AI benchmark rank Feedly Summary: Did Facebook giant rizz up LLM to win over human voters? It appears so Meta submitted a specially crafted, non-public variant of its Llama 4 AI model to an online benchmark that may have unfairly…

  • Anchore: Automate Your Compliance: How Anchore Enforce Secures the Software Supply Chain

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    Kurt Seifried
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    Source URL: https://anchore.com/blog/automate-your-compliance-how-anchore-enforce-secures-the-software-supply-chain/ Source: Anchore Title: Automate Your Compliance: How Anchore Enforce Secures the Software Supply Chain Feedly Summary: In an era where a single line of compromised code can bring entire enterprise systems to their knees, software supply chain security has transformed from an afterthought to a mission-critical priority. The urgency is undeniable: while…

  • Simon Willison’s Weblog: Quoting lmarena.ai

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Apr/8/lmaren/#atom-everything Source: Simon Willison’s Weblog Title: Quoting lmarena.ai Feedly Summary: We’ve seen questions from the community about the latest release of Llama-4 on Arena. To ensure full transparency, we’re releasing 2,000+ head-to-head battle results for public review. […] In addition, we’re also adding the HF version of Llama-4-Maverick to Arena, with leaderboard results…

  • OpenAI : OpenAI’s EU Economic Blueprint

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    Kurt Seifried
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    Source URL: https://openai.com/global-affairs/openais-eu-economic-blueprint Source: OpenAI Title: OpenAI’s EU Economic Blueprint Feedly Summary: Today, OpenAI is sharing the EU Economic Blueprint—a set of proposals to help Europe seize the promise of artificial intelligence, drive sustainable economic growth across the region, and ensure that AI is developed and deployed by Europe, in Europe, for Europe. AI Summary…

  • Simon Willison’s Weblog: Note on 5th April 2025

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Apr/5/llama-4-notes/#atom-everything Source: Simon Willison’s Weblog Title: Note on 5th April 2025 Feedly Summary: Dropping a model release as significant as Llama 4 on a weekend is plain unfair! So far the best place to learn about the new model family is this post on the Meta AI blog. You can try them out…