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Tag: sam

  • Cloud Blog: Expanding Vertex AI with the next wave of generative AI media models

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/announcing-veo-3-imagen-4-and-lyria-2-on-vertex-ai/ Source: Cloud Blog Title: Expanding Vertex AI with the next wave of generative AI media models Feedly Summary: Today, we are introducing the next wave of generative AI media models on Vertex AI: Imagen 4, Veo 3, and Lyria 2.  We’ve already seen customers generate stunning, photorealistic images with Imagen 3, Google’s…

  • Cloud Blog: Introducing the next generation of AI inference, powered by llm-d

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/enhancing-vllm-for-distributed-inference-with-llm-d/ Source: Cloud Blog Title: Introducing the next generation of AI inference, powered by llm-d Feedly Summary: As the world transitions from prototyping AI solutions to deploying AI at scale, efficient AI inference is becoming the gating factor. Two years ago, the challenge was the ever-growing size of AI models. Cloud infrastructure providers…

  • Tomasz Tunguz: How AI Redefines User Experience

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    Kurt Seifried
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    Source URL: https://www.tomtunguz.com/english-as-input/ Source: Tomasz Tunguz Title: How AI Redefines User Experience Feedly Summary: What if every software spoke English? We asked this question about two years ago but now they do – with AI we can retrofit existing apps to speak English. I don’t want to have to figure out any particular menu to…

  • Slashdot: Is the Altruistic OpenAI Gone?

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    Kurt Seifried
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    Source URL: https://slashdot.org/story/25/05/17/1925212/is-the-altruistic-openai-gone?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Is the Altruistic OpenAI Gone? Feedly Summary: AI Summary and Description: Yes Summary: The text outlines concerns regarding OpenAI’s shifting priorities under CEO Sam Altman, highlighting internal struggles over the management of artificial intelligence safety and governance. It raises critical questions about the implications of AI development’s commercialization and…

  • Simon Willison’s Weblog: OpenAI Codex

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/May/16/openai-codex/#atom-everything Source: Simon Willison’s Weblog Title: OpenAI Codex Feedly Summary: OpenAI Codex Announced today, here’s the documentation for OpenAI’s “cloud-based software engineering agent". It’s not yet available for us $20/month Plus customers ("coming soon") but if you’re a $200/month Pro user you can try it out today. At a high level, you specify…

  • Cloud Blog: Getting AI to write good SQL: Text-to-SQL techniques explained

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/databases/techniques-for-improving-text-to-sql/ Source: Cloud Blog Title: Getting AI to write good SQL: Text-to-SQL techniques explained Feedly Summary: Organizations depend on fast and accurate data-driven insights to make decisions, and SQL is at the core of how they access that data. With Gemini, Google can generate SQL directly from natural language — a.k.a. text-to-SQL. This…

  • Cloud Blog: AI Hypercomputer developer experience enhancements from Q1 25: build faster, scale bigger

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/compute/ai-hypercomputer-enhancements-for-the-developer/ Source: Cloud Blog Title: AI Hypercomputer developer experience enhancements from Q1 25: build faster, scale bigger Feedly Summary: Building cutting-edge AI models is exciting, whether you’re iterating in your notebook or orchestrating large clusters. However, scaling up training can present significant challenges, including navigating complex infrastructure, configuring software and dependencies across numerous…

  • OpenAI : Introducing Codex

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    Kurt Seifried
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    Source URL: https://openai.com/index/introducing-codex Source: OpenAI Title: Introducing Codex Feedly Summary: Introducing Codex: a cloud-based software engineering agent that can work on many tasks in parallel, powered by codex-1. With Codex, developers can simultaneously deploy multiple agents to independently handle coding tasks such as writing features, answering questions about your codebase, fixing bugs, and proposing pull…