Experimental News Clipping Site

Tag: training

  • CSA: AI and Compliance for the Mid-Market

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    Kurt Seifried
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    Source URL: https://www.scrut.io/post/ai-and-compliance-for-the-mid-market Source: CSA Title: AI and Compliance for the Mid-Market Feedly Summary: AI Summary and Description: Yes **Summary:** The text emphasizes the urgent need for small and medium-sized businesses (SMBs) to adopt AI responsibly, given the potential cybersecurity vulnerabilities and evolving regulatory landscape associated with AI technologies. It outlines practical guidance and standards…

  • CSA: LLM Dragons: Why DSPM is the Key to AI Security

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    Kurt Seifried
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    Source URL: https://cloudsecurityalliance.org/articles/training-your-llm-dragons-why-dspm-is-the-key-to-ai-security Source: CSA Title: LLM Dragons: Why DSPM is the Key to AI Security Feedly Summary: AI Summary and Description: Yes Summary: The text emphasizes the security risks associated with AI implementations, particularly custom large language models (LLMs) and Microsoft Copilot. It outlines key threats such as data leakage and compliance failures and…

  • Hacker News: Cosine Similarity Isn’t the Silver Bullet We Thought It Was

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    Kurt Seifried
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    Source URL: https://www.shaped.ai/blog/cosine-similarity-not-the-silver-bullet-we-thought-it-was Source: Hacker News Title: Cosine Similarity Isn’t the Silver Bullet We Thought It Was Feedly Summary: Comments AI Summary and Description: Yes Summary: The study from Netflix and Cornell University critically examines the use of cosine similarity in measuring the similarity of embeddings, revealing potential flaws and arbitrary results that could mislead…

  • 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…

  • The Register: Russia’s Star Blizzard phishing crew caught targeting WhatsApp accounts

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/01/16/russia_star_blizzard_whatsapp/ Source: The Register Title: Russia’s Star Blizzard phishing crew caught targeting WhatsApp accounts Feedly Summary: FSB cyberspies venture into a new app for espionage, Microsoft says Star Blizzard, a prolific phishing crew backed by the Russian Federal Security Service (FSB), conducted a new campaign aiming to compromise WhatsApp accounts and gain access…

  • Simon Willison’s Weblog: Quoting gwern

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jan/16/gwern/#atom-everything Source: Simon Willison’s Weblog Title: Quoting gwern Feedly Summary: […] much of the point of a model like o1 is not to deploy it, but to generate training data for the next model. Every problem that an o1 solves is now a training data point for an o3 (eg. any o1 session…

  • The Register: TSMC plans to have 1.6nm chips in ‘volume production’ by 2026

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/01/16/tsmc_says_16nm_chips_volume_2026/ Source: The Register Title: TSMC plans to have 1.6nm chips in ‘volume production’ by 2026 Feedly Summary: You’ve got to spend money – like $36 billion+ – to make, er, AI chips TSMC is bumping capital expenditure in 2025 to between $38 billion and $42 billion in anticipation of scooping up more…

  • Slashdot: Nvidia Reveals AI Supercomputer Used Non-Stop For Six Years To Perfect Gaming Graphics

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    Kurt Seifried
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    Source URL: https://it.slashdot.org/story/25/01/16/1743210/nvidia-reveals-ai-supercomputer-used-non-stop-for-six-years-to-perfect-gaming-graphics?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Nvidia Reveals AI Supercomputer Used Non-Stop For Six Years To Perfect Gaming Graphics Feedly Summary: AI Summary and Description: Yes Summary: The text highlights Nvidia’s commitment to enhancing its Deep Learning Super Sampling (DLSS) technology through a dedicated supercomputer. This focus on continuous analysis and model retraining is significant…

  • Cloud Blog: New year, new updates to AI Hypercomputer

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/compute/a3-ultra-with-nvidia-h200-gpus-are-ga-on-ai-hypercomputer/ Source: Cloud Blog Title: New year, new updates to AI Hypercomputer Feedly Summary: The last few weeks of 2024 were exhilarating as we worked to bring you multiple advancements in AI infrastructure, including the general availability of Trillium, our sixth-generation TPU, A3 Ultra VMs powered by NVIDIA H200 GPUs, support for up…

  • Hacker News: Nepenthes is a tarpit to catch AI web crawlers

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    Kurt Seifried
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    Source URL: https://zadzmo.org/code/nepenthes/ Source: Hacker News Title: Nepenthes is a tarpit to catch AI web crawlers Feedly Summary: Comments AI Summary and Description: Yes Summary: The text describes “Nepenthes,” a tarpit software devised to trap web crawlers, particularly those scraping data for large language models (LLMs). It offers unique functionalities and deployment setups, with explicit…