Experimental News Clipping Site

Tag: election

  • Hacker News: Show HN: DeepSeek v3 – A 671B parameter AI Language Model

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    Source URL: https://deepseekv3.org/ Source: Hacker News Title: Show HN: DeepSeek v3 – A 671B parameter AI Language Model Feedly Summary: Comments AI Summary and Description: Yes Summary: The text describes the capabilities of DeepSeek v3, highlighting its advanced architecture and proficiency in various tasks such as text generation and code completion, which are particularly relevant…

  • Hacker News: An attempt at AGI on the Tokio Runtime

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    Source URL: https://www.christo.sh/building-agi-on-the-tokio-runtime/ Source: Hacker News Title: An attempt at AGI on the Tokio Runtime Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text outlines an individual’s experimental journey to build Artificial General Intelligence (AGI) through a biologically inspired neural network running on the Tokio Runtime. The project involves a unique approach to…

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

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    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…

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

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    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…

  • AlgorithmWatch: A Year of Challenging Choices – 2024 in review

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    Source URL: https://algorithmwatch.org/en/a-year-of-challenging-choices-2024-in-review/ Source: AlgorithmWatch Title: A Year of Challenging Choices – 2024 in review Feedly Summary: 2024 was a “super election" year and it marked the rise of generative Artificial Intelligence. With the adoption of the AI Act, it seemed poised to be the moment we finally gained control over automated systems. Yet, that…

  • AlgorithmWatch: Large language models continue to be unreliable concerning elections

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    Source URL: https://algorithmwatch.org/en/llms_state_elections/ Source: AlgorithmWatch Title: Large language models continue to be unreliable concerning elections Feedly Summary: Large language models continue to be unreliable for election information. Our research was able to substantially improve the reliability of safeguards in the Microsoft Copilot chatbot against election misinformation in German. However barriers to data access greatly restricted…

  • Hacker News: The Rise of the AI Crawler

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    Source URL: https://vercel.com/blog/the-rise-of-the-ai-crawler Source: Hacker News Title: The Rise of the AI Crawler Feedly Summary: Comments AI Summary and Description: Yes Summary: The text analyzes traffic and behaviors of AI crawlers such as OpenAI’s GPTBot and Anthropic’s Claude, revealing their significant presence and operation patterns on the web. Insights include their JavaScript rendering limitations, content…

  • Cloud Blog: Optimizing RAG retrieval: Test, tune, succeed

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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/optimizing-rag-retrieval/ Source: Cloud Blog Title: Optimizing RAG retrieval: Test, tune, succeed Feedly Summary: Retrieval-augmented generation (RAG) supercharges large language models (LLMs) by connecting them to real-time, proprietary, and specialized data. This helps LLMs deliver more accurate, relevant, and contextually aware responses, minimizing hallucinations and building trust in AI applications. But RAG can be…

  • Cloud Blog: Google Cloud and SAP: Powering AI with enterprise data

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    Source URL: https://cloud.google.com/blog/products/sap-google-cloud/the-case-for-running-rise-with-sap-on-google-cloud/ Source: Cloud Blog Title: Google Cloud and SAP: Powering AI with enterprise data Feedly Summary: As the 2027 end of support for SAP Business Suite 7 approaches, SAP customers need to decide where to deploy as they upgrade to cloud-based S/4HANA and RISE with SAP. This represents a great opportunity to get…

  • Cloud Blog: Achieve peak SAP S/4HANA performance with Compute Engine X4 machines

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    Source URL: https://cloud.google.com/blog/products/sap-google-cloud/compute-engine-x4-machine-types-for-sap-workloads/ Source: Cloud Blog Title: Achieve peak SAP S/4HANA performance with Compute Engine X4 machines Feedly Summary: Enterprise workloads like SAP S/4HANA present unique challenges when migrating to a public cloud, making the choice of a cloud provider critically important. As an in-memory database for large SAP deployments, SAP HANA can have massive…