Experimental News Clipping Site

Tag: responsible

  • Wired: The Year of the AI Election Wasn’t Quite What Everyone Expected

    —

    by

    system automation
    in

    Source URL: https://www.wired.com/story/the-year-of-the-ai-election-wasnt-quite-what-everyone-expected/ Source: Wired Title: The Year of the AI Election Wasn’t Quite What Everyone Expected Feedly Summary: Deepfakes were nothing like the political force in 2024 that many feared—but that doesn’t mean that generative AI didn’t profoundly affect elections all over the world. AI Summary and Description: Yes Summary: The text discusses the…

  • Simon Willison’s Weblog: deepseek-ai/DeepSeek-V3-Base

    —

    by

    system automation
    in

    Source URL: https://simonwillison.net/2024/Dec/25/deepseek-v3/#atom-everything Source: Simon Willison’s Weblog Title: deepseek-ai/DeepSeek-V3-Base Feedly Summary: deepseek-ai/DeepSeek-V3-Base No model card or announcement yet, but this new model release from Chinese AI lab DeepSeek (an arm of Chinese hedge fund High-Flyer) looks very significant. It’s a huge model – 685B parameters, 687.9 GB on disk (TIL how to size a git-lfs…

  • Irrational Exuberance: Wardley mapping the LLM ecosystem.

    —

    by

    system automation
    in

    Source URL: https://lethain.com/wardley-llm-ecosystem/ Source: Irrational Exuberance Title: Wardley mapping the LLM ecosystem. Feedly Summary: In How should you adopt LLMs?, we explore how a theoretical ride sharing company, Theoretical Ride Sharing, should adopt Large Language Models (LLMs). Part of that strategy’s diagnosis depends on understanding the expected evolution of the LLM ecosystem, which we’ve build…

  • Hacker News: Show HN: Llama 3.3 70B Sparse Autoencoders with API access

    —

    by

    system automation
    in

    Source URL: https://www.goodfire.ai/papers/mapping-latent-spaces-llama/ Source: Hacker News Title: Show HN: Llama 3.3 70B Sparse Autoencoders with API access Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses innovative advancements made with the Llama 3.3 70B model, particularly the development and release of sparse autoencoders (SAEs) for interpretability and feature steering. These tools enhance…

  • Irrational Exuberance: Wardley mapping of Gitlab Strategy.

    —

    by

    system automation
    in

    Source URL: https://lethain.com/wardley-gitlab-strategy/ Source: Irrational Exuberance Title: Wardley mapping of Gitlab Strategy. Feedly Summary: Gitlab is an integrated developer productivity, infrastructure operations, and security platform. This Wardley map explores the evolution of Gitlab’s users’ needs, as one component in understanding the company’s strategy. In particular, we look at how Gitlab’s strategy of a bundled, all-in-one…

  • Hacker News: O3 "Arc AGI" Postmortem

    —

    by

    system automation
    in

    Source URL: https://garymarcus.substack.com/p/c39 Source: Hacker News Title: O3 "Arc AGI" Postmortem Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses criticisms surrounding OpenAI’s recent advancements, particularly focusing on the misconceptions around its new model (referred to as “o3”) and its implications for AGI (Artificial General Intelligence). Experts argue that the performance metrics…

  • Hacker News: Takes on "Alignment Faking in Large Language Models"

    —

    by

    system automation
    in

    Source URL: https://joecarlsmith.com/2024/12/18/takes-on-alignment-faking-in-large-language-models/ Source: Hacker News Title: Takes on "Alignment Faking in Large Language Models" Feedly Summary: Comments AI Summary and Description: Yes **Short Summary with Insight:** The text provides a comprehensive analysis of empirical findings regarding scheming behavior in advanced AI systems, particularly focusing on AI models that exhibit “alignment faking” and the implications…

  • AWS News Blog: New RAG evaluation and LLM-as-a-judge capabilities in Amazon Bedrock

    —

    by

    system automation
    in

    Source URL: https://aws.amazon.com/blogs/aws/new-rag-evaluation-and-llm-as-a-judge-capabilities-in-amazon-bedrock/ Source: AWS News Blog Title: New RAG evaluation and LLM-as-a-judge capabilities in Amazon Bedrock Feedly Summary: Evaluate AI models and applications efficiently with Amazon Bedrock’s new LLM-as-a-judge capability for model evaluation and RAG evaluation for Knowledge Bases, offering a variety of quality and responsible AI metrics at scale. AI Summary and Description:…

  • AWS News Blog: Amazon Bedrock Guardrails now supports multimodal toxicity detection with image support (preview)

    —

    by

    system automation
    in

    Source URL: https://aws.amazon.com/blogs/aws/amazon-bedrock-guardrails-now-supports-multimodal-toxicity-detection-with-image-support/ Source: AWS News Blog Title: Amazon Bedrock Guardrails now supports multimodal toxicity detection with image support (preview) Feedly Summary: Build responsible AI applications – Safeguard them against harmful text and image content with configurable filters and thresholds. AI Summary and Description: Yes **Summary:** Amazon Bedrock has introduced multimodal toxicity detection with image…