Experimental News Clipping Site

Tag: Well

  • Cloud Blog: How AI & IoT are helping detect hospital incidents — without compromising patient privacy

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    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/topics/healthcare-life-sciences/detecting-hospital-incidents-with-ai-without-compromising-patient-privacy/ Source: Cloud Blog Title: How AI & IoT are helping detect hospital incidents — without compromising patient privacy Feedly Summary: Hospitals, while vital for our well-being, can be sources of stress and uncertainty. What if we could make hospitals safer and more efficient — not only for patients but also for the…

  • Cloud Blog: How to use Gemini 2.5 to fine-tune video outputs on Vertex AI

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/how-to-fine-tune-video-outputs-using-vertex-ai/ Source: Cloud Blog Title: How to use Gemini 2.5 to fine-tune video outputs on Vertex AI Feedly Summary: Recently, we announced Gemini 2.5 is generally available on Vertex AI. As part of this update, tuning capabilities have extended beyond text outputs – now, you can tune image, audio, and video outputs on…

  • Cloud Blog: Work Smarter with Chromebook Plus and Google AI

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/chrome-enterprise/work-smarter-with-chromebook-plus-and-google-ai/ Source: Cloud Blog Title: Work Smarter with Chromebook Plus and Google AI Feedly Summary: The way we use technology at work is changing at a rapid pace. Innovation in AI is leading to new experiences and expectations for what can be done on laptops. That’s why we’re excited to unveil the next…

  • Cloud Blog: How Conversational Agents and Looker can boost contact center efficiency and enhance constituent services

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/topics/public-sector/how-conversational-agents-and-looker-can-boost-contact-center-efficiency-and-enhance-constituent-services/ Source: Cloud Blog Title: How Conversational Agents and Looker can boost contact center efficiency and enhance constituent services Feedly Summary: Conversational agents are transforming the way public sector agencies engage with constituents — enabling new levels of hyper-personalization, multimodal conversations, and improving interactions across touchpoints. And this is just the beginning. Our…

  • Simon Willison’s Weblog: model.yaml

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jun/21/model-yaml/#atom-everything Source: Simon Willison’s Weblog Title: model.yaml Feedly Summary: model.yaml From their GitHub repo it looks like this effort quietly launched a couple of months ago, driven by the LM Studio team. Their goal is to specify an “open standard for defining crossplatform, composable AI models". A model can be defined using a…

  • Simon Willison’s Weblog: AbsenceBench: Language Models Can’t Tell What’s Missing

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jun/20/absencebench/#atom-everything Source: Simon Willison’s Weblog Title: AbsenceBench: Language Models Can’t Tell What’s Missing Feedly Summary: AbsenceBench: Language Models Can’t Tell What’s Missing Here’s another interesting result to file under the “jagged frontier" of LLMs, where their strengths and weaknesses are often unintuitive. Long context models have been getting increasingly good at passing "Needle…

  • Simon Willison’s Weblog: Agentic Misalignment: How LLMs could be insider threats

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    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jun/20/agentic-misalignment/#atom-everything Source: Simon Willison’s Weblog Title: Agentic Misalignment: How LLMs could be insider threats Feedly Summary: Agentic Misalignment: How LLMs could be insider threats One of the most entertaining details in the Claude 4 system card concerned blackmail: We then provided it access to emails implying that (1) the model will soon be…

  • The Register: Australia finds age detection tech has many flaws but will work

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/06/20/australia_age_assurance_trial_findings/ Source: The Register Title: Australia finds age detection tech has many flaws but will work Feedly Summary: Probe into how to implement social media ban finds privacy risks, developer overreach, infosec uncertainties Australia’s trial of age assurance technology has found it’s up to the task of preventing children under 16 years of…

  • Slashdot: Reasoning LLMs Deliver Value Today, So AGI Hype Doesn’t Matter

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    Kurt Seifried
    in

    Source URL: https://slashdot.org/story/25/06/19/165237/reasoning-llms-deliver-value-today-so-agi-hype-doesnt-matter?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Reasoning LLMs Deliver Value Today, So AGI Hype Doesn’t Matter Feedly Summary: AI Summary and Description: Yes Summary: The commentary by Simon Willison highlights a debate surrounding the effectiveness and applicability of large language models (LLMs), particularly in the context of their limitations and the recent critiques by various…

  • Simon Willison’s Weblog: Coding agents require skilled operators

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    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jun/18/coding-agents/#atom-everything Source: Simon Willison’s Weblog Title: Coding agents require skilled operators Feedly Summary: I wrote this recently in a conversation about whether coding agents can work as a replacement for human programmers. The “agentic" coding tools we have right now work like this: A skilled individual with both deep domain understanding and deep…