Experimental News Clipping Site

Tag: foundation models

  • Cloud Blog: Unlock Inference-as-a-Service with Cloud Run and Vertex AI

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/improve-your-gen-ai-app-velocity-with-inference-as-a-service/ Source: Cloud Blog Title: Unlock Inference-as-a-Service with Cloud Run and Vertex AI Feedly Summary: It’s no secret that large language models (LLMs) and generative AI have become a key part of the application landscape. But most foundational LLMs are consumed as a service, meaning they’re hosted and served by a third party…

  • Hacker News: Step-Video-T2V: The Practice, Challenges, and Future of Video Foundation Model

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    Kurt Seifried
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    Source URL: https://arxiv.org/abs/2502.10248 Source: Hacker News Title: Step-Video-T2V: The Practice, Challenges, and Future of Video Foundation Model Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses a new advanced text-to-video model called Step-Video-T2V, which is notable for its large parameter size and effective compression techniques, showcasing its relevance to professionals in AI…

  • Hacker News: Goku Flow Based Video Generative Foundation Models

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    Kurt Seifried
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    Source URL: https://github.com/Saiyan-World/goku Source: Hacker News Title: Goku Flow Based Video Generative Foundation Models Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces Goku, a novel family of joint image-and-video generative models, emphasizing advancements in performance and high-quality generation techniques. It focuses on innovative integration within AI-generated visual content, which is highly…

  • Hacker News: Automated Capability Discovery via Foundation Model Self-Exploration

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    Kurt Seifried
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    Source URL: https://arxiv.org/abs/2502.07577 Source: Hacker News Title: Automated Capability Discovery via Foundation Model Self-Exploration Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper “Automated Capability Discovery via Model Self-Exploration” introduces a new framework (Automated Capability Discovery or ACD) designed to evaluate foundation models’ abilities by allowing one model to propose tasks for another…

  • CSA: Agentic AI Threat Modeling Framework: MAESTRO

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    Kurt Seifried
    in

    Source URL: https://cloudsecurityalliance.org/blog/2025/02/06/agentic-ai-threat-modeling-framework-maestro Source: CSA Title: Agentic AI Threat Modeling Framework: MAESTRO Feedly Summary: AI Summary and Description: Yes Summary: The text presents MAESTRO, a novel threat modeling framework tailored for Agentic AI, addressing the unique security challenges associated with autonomous AI agents. It offers a layered approach to risk mitigation, surpassing traditional frameworks such…

  • Hacker News: Open Euro LLM: Open LLMs for Transparent AI in Europe

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    Kurt Seifried
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    Source URL: https://openeurollm.eu/launch-press-release Source: Hacker News Title: Open Euro LLM: Open LLMs for Transparent AI in Europe Feedly Summary: Comments AI Summary and Description: Yes Summary: The OpenEuroLLM project is an innovative initiative involving collaboration among Europe’s leading AI companies and research institutions to develop open-source language models. This project aims to improve Europe’s AI…

  • Hacker News: Why OpenAI’s $157B valuation misreads AI’s future (Oct 2024)

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    Kurt Seifried
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    Source URL: https://foundationcapital.com/why-openais-157b-valuation-misreads-ais-future/ Source: Hacker News Title: Why OpenAI’s $157B valuation misreads AI’s future (Oct 2024) Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides a comprehensive analysis of the economic dynamics and strategic challenges in the AI industry, centered around OpenAI’s recent funding rounds and its implications for value creation in…

  • METR updates – METR: Comment on NIST RMF GenAI Companion

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    Kurt Seifried
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    Source URL: https://downloads.regulations.gov/NIST-2024-0001-0075/attachment_2.pdf Source: METR updates – METR Title: Comment on NIST RMF GenAI Companion Feedly Summary: AI Summary and Description: Yes **Summary**: The provided text discusses the National Institute of Standards and Technology’s (NIST) AI Risk Management Framework concerning Generative AI. It outlines significant risks posed by autonomous AI systems and suggests enhancements to…

  • Chip Huyen: Common pitfalls when building generative AI applications

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    Kurt Seifried
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    Source URL: https://huyenchip.com//2025/01/16/ai-engineering-pitfalls.html Source: Chip Huyen Title: Common pitfalls when building generative AI applications Feedly Summary: As we’re still in the early days of building applications with foundation models, it’s normal to make mistakes. This is a quick note with examples of some of the most common pitfalls that I’ve seen, both from public case…

  • Hacker News: AI agents may soon surpass people as primary application users

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    Kurt Seifried
    in

    Source URL: https://www.zdnet.com/article/ai-agents-may-soon-surpass-people-as-primary-application-users/ Source: Hacker News Title: AI agents may soon surpass people as primary application users Feedly Summary: Comments AI Summary and Description: Yes Summary: The text outlines predictions by Accenture regarding the rise of AI agents as primary users of enterprise systems and discusses the implications of this shift, including the need for…