Tag: problem
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Simon Willison’s Weblog: Anthropic’s new Citations API
Source URL: https://simonwillison.net/2025/Jan/24/anthropics-new-citations-api/#atom-everything Source: Simon Willison’s Weblog Title: Anthropic’s new Citations API Feedly Summary: Here’s a new API-only feature from Anthropic that requires quite a bit of assembly in order to unlock the value: Introducing Citations on the Anthropic API. Let’s talk about what this is and why it’s interesting. Citations for Retrieval Augmented Generation…
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Hacker News: Lessons from building a small-scale AI application
Source URL: https://www.thelis.org/blog/lessons-from-ai Source: Hacker News Title: Lessons from building a small-scale AI application Feedly Summary: Comments AI Summary and Description: Yes Summary: The text encapsulates critical lessons learned from constructing a small-scale AI application, emphasizing the differences between traditional programming and AI development, alongside the intricacies of managing data quality, training pipelines, and system…
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Hacker News: DeepSeek and the Effects of GPU Export Controls
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…
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Simon Willison’s Weblog: Trading Inference-Time Compute for Adversarial Robustness
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…
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Simon Willison’s Weblog: r1.py script to run R1 with a min-thinking-tokens parameter
Source URL: https://simonwillison.net/2025/Jan/22/r1py/ Source: Simon Willison’s Weblog Title: r1.py script to run R1 with a min-thinking-tokens parameter Feedly Summary: r1.py script to run R1 with a min-thinking-tokens parameter Fantastically creative hack by Theia Vogel. The DeepSeek R1 family of models output their chain of thought inside a …</think> block. Theia found that you can intercept…
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CSA: How Can We Bridge the Cyber Talent Gap with Diversity?
Source URL: https://www.zscaler.com/cxorevolutionaries/insights/solving-cyber-workforce-puzzle Source: CSA Title: How Can We Bridge the Cyber Talent Gap with Diversity? Feedly Summary: AI Summary and Description: Yes Summary: The text highlights the importance of nurturing cyber talent, particularly among women and underrepresented groups, to address the significant cyber workforce gap. It emphasizes collaboration between various sectors and the inclusion…
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Simon Willison’s Weblog: AI mistakes are very different from human mistakes
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…