Tag: side

  • Simon Willison’s Weblog: Quoting Max Woolf

    Source URL: https://simonwillison.net/2025/May/5/max-woolf/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Max Woolf Feedly Summary: Two things can be true simultaneously: (a) LLM provider cost economics are too negative to return positive ROI to investors, and (b) LLMs are useful for solving problems that are meaningful and high impact, albeit not to the AGI hype that would…

  • Simon Willison’s Weblog: Feed a video to a vision LLM as a sequence of JPEG frames on the CLI (also LLM 0.25)

    Source URL: https://simonwillison.net/2025/May/5/llm-video-frames/#atom-everything Source: Simon Willison’s Weblog Title: Feed a video to a vision LLM as a sequence of JPEG frames on the CLI (also LLM 0.25) Feedly Summary: The new llm-video-frames plugin can turn a video file into a sequence of JPEG frames and feed them directly into a long context vision LLM such…

  • Cloud Blog: Announcing new Vertex AI Prediction Dedicated Endpoints

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/reliable-ai-with-vertex-ai-prediction-dedicated-endpoints/ Source: Cloud Blog Title: Announcing new Vertex AI Prediction Dedicated Endpoints Feedly Summary: For AI developers building cutting-edge applications with large model sizes, a reliable foundation is non-negotiable. You need your AI to perform consistently, delivering results without hiccups, even under pressure. This means having dedicated resources that won’t get bogged down…

  • Cloud Blog: Build live voice-driven agentic applications with Vertex AI Gemini Live API

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/build-voice-driven-applications-with-live-api/ Source: Cloud Blog Title: Build live voice-driven agentic applications with Vertex AI Gemini Live API Feedly Summary: Across industries, enterprises need efficient and proactive solutions. Imagine frontline professionals using voice commands and visual input to diagnose issues, access vital information, and initiate processes in real-time. The Gemini 2.0 Flash Live API empowers…

  • Cisco Security Blog: Automate Forensics to Eliminate Uncertainty

    Source URL: https://feedpress.me/link/23535/17022126/automate-forensics-to-eliminate-uncertainty Source: Cisco Security Blog Title: Automate Forensics to Eliminate Uncertainty Feedly Summary: Discover how Cisco XDR delivers automated forensics and AI-driven investigation—bringing speed, clarity, and confidence to SecOps teams. AI Summary and Description: Yes Summary: The text discusses Cisco XDR’s capabilities in automating forensics and utilizing AI for investigations, which enhances the…

  • CSA: Why MFT Matters for Compliance and Risk Reduction

    Source URL: https://blog.axway.com/learning-center/managed-file-transfer-mft/mft-compliance-security Source: CSA Title: Why MFT Matters for Compliance and Risk Reduction Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the evolving landscape of compliance in managed file transfer (MFT) solutions, emphasizing the necessity of modernization in the face of increasingly complex regulatory requirements and security threats. It highlights the…

  • New York Times – Artificial Intelligence : A.I. Hallucinations Are Getting Worse, Even as New Systems Become More Powerful

    Source URL: https://www.nytimes.com/2025/05/05/technology/ai-hallucinations-chatgpt-google.html Source: New York Times – Artificial Intelligence Title: A.I. Hallucinations Are Getting Worse, Even as New Systems Become More Powerful Feedly Summary: A new wave of “reasoning” systems from companies like OpenAI is producing incorrect information more often. Even the companies don’t know why. AI Summary and Description: Yes Summary: The text…

  • Simon Willison’s Weblog: Dummy’s Guide to Modern LLM Sampling

    Source URL: https://simonwillison.net/2025/May/4/llm-sampling/#atom-everything Source: Simon Willison’s Weblog Title: Dummy’s Guide to Modern LLM Sampling Feedly Summary: Dummy’s Guide to Modern LLM Sampling This is an extremely useful, detailed set of explanations by @AlpinDale covering the various different sampling strategies used by modern LLMs. LLMs return a set of next-token probabilities for every token in their…