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Tag: limitations

  • The Register: What happens when we can’t just build bigger AI datacenters anymore?

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    Kurt Seifried
    in

    Source URL: https://www.theregister.com/2025/01/24/build_bigger_ai_datacenters/ Source: The Register Title: What happens when we can’t just build bigger AI datacenters anymore? Feedly Summary: We stitch together enormous supercomputers from other smaller supercomputers of course Feature Generative AI models have not only exploded in popularity over the past two years, but they’ve also grown at a precipitous rate, necessitating…

  • Cloud Blog: Tchibo brews up 10x faster customer insights with AlloyDB for PostgreSQL

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/databases/tchibo-brews-up-10x-faster-customer-insights-with-alloydb-for-postgresql/ Source: Cloud Blog Title: Tchibo brews up 10x faster customer insights with AlloyDB for PostgreSQL Feedly Summary: Tchibo, a well-known coffee retailer and lifestyle brand based in Germany, needed a faster, smarter way to manage and interpret vast amounts of customer feedback across its diverse product offerings and sales channels. To meet…

  • CSA: What Is Security and Privacy Engineering?

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    Kurt Seifried
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    Source URL: https://cloudsecurityalliance.org/articles/how-to-get-security-and-privacy-engineering-right-the-first-time Source: CSA Title: What Is Security and Privacy Engineering? Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the critical significance of security and privacy engineering in technology development, emphasizing the need for integrating these considerations from the outset rather than treating them as an afterthought. This approach is vital…

  • Hacker News: DeepSeek and the Effects of GPU Export Controls

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    Kurt Seifried
    in

    Source URL: https://www.vincentschmalbach.com/deepseek-and-the-effects-of-gpu-export-controls/ Source: Hacker News Title: DeepSeek and the Effects of GPU Export Controls Feedly Summary: Comments AI Summary and Description: Yes Summary: DeepSeek’s unveiling of their V3 model demonstrates that AI advancements do not solely depend on high-end hardware but can be achieved through architectural efficiency. The model, trained on significantly fewer resources…

  • Simon Willison’s Weblog: Trading Inference-Time Compute for Adversarial Robustness

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jan/22/trading-inference-time-compute/ Source: Simon Willison’s Weblog Title: Trading Inference-Time Compute for Adversarial Robustness Feedly Summary: Trading Inference-Time Compute for Adversarial Robustness Brand new research paper from OpenAI, exploring how inference-scaling “reasoning" models such as o1 might impact the search for improved security with respect to things like prompt injection. We conduct experiments on the…

  • Wired: This New AI Search Engine Has a Gimmick: Humans Answering Questions

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    Kurt Seifried
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    Source URL: https://www.wired.com/story/this-new-ai-search-engine-has-a-gimmick-humans-answering-questions/ Source: Wired Title: This New AI Search Engine Has a Gimmick: Humans Answering Questions Feedly Summary: A new AI-powered search engine called Pearl is launching today, with an unusual pitch: It promises to connect you with an actual human expert if the AI answer sucks. WIRED gave it a spin. AI Summary…

  • Simon Willison’s Weblog: AI mistakes are very different from human mistakes

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jan/21/ai-mistakes-are-very-different-from-human-mistakes/#atom-everything Source: Simon Willison’s Weblog Title: AI mistakes are very different from human mistakes Feedly Summary: AI mistakes are very different from human mistakes An entertaining and informative read by Bruce Schneier and Nathan E. Sanders. If you want to use an AI model to help with a business problem, it’s not enough…

  • Hacker News: AI Founder’s Bitter Lesson. Chapter 2 – No Power

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    Kurt Seifried
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    Source URL: https://lukaspetersson.github.io/blog/2025/power-vertical/ Source: Hacker News Title: AI Founder’s Bitter Lesson. Chapter 2 – No Power Feedly Summary: Comments AI Summary and Description: Yes Summary: This text presents a critical analysis of the competitive landscape between vertical and horizontal AI products, suggesting that horizontal AI solutions are likely to outperform their vertical counterparts due to…

  • Schneier on Security: AI Mistakes Are Very Different from Human Mistakes

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    Kurt Seifried
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    Source URL: https://www.schneier.com/blog/archives/2025/01/ai-mistakes-are-very-different-from-human-mistakes.html Source: Schneier on Security Title: AI Mistakes Are Very Different from Human Mistakes Feedly Summary: Humans make mistakes all the time. All of us do, every day, in tasks both new and routine. Some of our mistakes are minor and some are catastrophic. Mistakes can break trust with our friends, lose the…

  • Hacker News: What I’ve learned about writing AI apps so far

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    Kurt Seifried
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    Source URL: https://seldo.com/posts/what-ive-learned-about-writing-ai-apps-so-far Source: Hacker News Title: What I’ve learned about writing AI apps so far Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides insights on effectively writing AI-powered applications, specifically focusing on Large Language Models (LLMs). It offers practical advice for practitioners regarding the capabilities and limitations of LLMs, emphasizing…