Experimental News Clipping Site

Tag: state

  • Hacker News: Generative AI Hype Peaking

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    Kurt Seifried
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    Source URL: https://bjornwestergard.com/generative-ai-hype-peaking/ Source: Hacker News Title: Generative AI Hype Peaking Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the current state of investor sentiment regarding Generative AI, expressing skepticism about its potential to drastically improve productivity across industries, particularly in software development and customer support. It highlights the impact of…

  • Threat Research Archives – Unit 42: RustDoor and Koi Stealer for macOS Used by North Korea-Linked Threat Actor to Target the Cryptocurrency Sector

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    Kurt Seifried
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    Source URL: https://unit42.paloaltonetworks.com/macos-malware-targets-crypto-sector/ Source: Threat Research Archives – Unit 42 Title: RustDoor and Koi Stealer for macOS Used by North Korea-Linked Threat Actor to Target the Cryptocurrency Sector Feedly Summary: AI Summary and Description: Yes Summary: The text details a significant malware campaign targeting macOS systems, notably linked to North Korean nation-state actors employing advanced…

  • Cloud Blog: Unraveling Time: A Deep Dive into TTD Instruction Emulation Bugs

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/topics/threat-intelligence/ttd-instruction-emulation-bugs/ Source: Cloud Blog Title: Unraveling Time: A Deep Dive into TTD Instruction Emulation Bugs Feedly Summary: Written by: Dhanesh Kizhakkinan, Nino Isakovic Executive Summary This blog post presents an in-depth exploration of Microsoft’s Time Travel Debugging (TTD) framework, a powerful record-and-replay debugging framework for Windows user-mode applications. TTD relies heavily on accurate…

  • Slashdot: AI Isn’t Creating New Knowledge, Hugging Face Co-Founder Says

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    Kurt Seifried
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    Source URL: https://slashdot.org/story/25/03/10/145255/ai-isnt-creating-new-knowledge-hugging-face-co-founder-says?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: AI Isn’t Creating New Knowledge, Hugging Face Co-Founder Says Feedly Summary: AI Summary and Description: Yes Summary: The text discusses Thomas Wolf’s perspective on the limitations of AI, emphasizing that while AI is proficient at following instructions, it fails to generate new knowledge or revolutionary ideas. Wolf critiques the…

  • Hacker News: Spark-TTS: Text-2-Speech Model Single-Stream Decoupled Tokens [pdf]

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    Kurt Seifried
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    Source URL: https://arxiv.org/abs/2503.01710 Source: Hacker News Title: Spark-TTS: Text-2-Speech Model Single-Stream Decoupled Tokens [pdf] Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses Spark-TTS, an innovative LLM-based text-to-speech model that contributes to advancements in zero-shot TTS synthesis. Its efficient design allows for customizable voice generation through a unique token representation and a…

  • Simon Willison’s Weblog: Politico: 5 Questions for Jack Clark

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Mar/8/questions-for-jack-clark/ Source: Simon Willison’s Weblog Title: Politico: 5 Questions for Jack Clark Feedly Summary: Politico: 5 Questions for Jack Clark I tend to ignore statements with this much future-facing hype, especially when they come from AI labs who are both raising money and trying to influence US technical policy. Anthropic’s Jack Clark has…

  • Simon Willison’s Weblog: State-of-the-art text embedding via the Gemini API

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Mar/7/gemini-embeddings/#atom-everything Source: Simon Willison’s Weblog Title: State-of-the-art text embedding via the Gemini API Feedly Summary: State-of-the-art text embedding via the Gemini API Gemini just released their new text embedding model, with the snappy name gemini-embedding-exp-03-07. It supports 8,000 input tokens – up from 3,000 – and outputs vectors that are a lot larger…

  • Hacker News: Study: Large language models still lack general reasoning skills

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    Kurt Seifried
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    Source URL: https://santafe.edu/news-center/news/study-large-language-models-still-lack-general-reasoning-skills Source: Hacker News Title: Study: Large language models still lack general reasoning skills Feedly Summary: Comments AI Summary and Description: Yes Summary: This text discusses research findings on the reasoning capabilities of large language models (LLMs) like GPT-4. It highlights the limitations of these models in understanding and solving complex analogy puzzles…