Experimental News Clipping Site

Tag: Gemini

  • Wired: Nvidia’s $3,000 ‘Personal AI Supercomputer’ Will Let You Ditch the Data Center

    —

    by

    Kurt Seifried
    in

    Source URL: https://www.wired.com/story/nvidia-personal-supercomputer-ces/ Source: Wired Title: Nvidia’s $3,000 ‘Personal AI Supercomputer’ Will Let You Ditch the Data Center Feedly Summary: Nvidia CEO Jensen Huang also announced new AI models for robots, self-driving cars, and autonomous agents during a keynote address at CES. AI Summary and Description: Yes Summary: The text discusses Nvidia’s upcoming launch of…

  • Slashdot: Google Is Forming a New Team To Build AI That Can Simulate the Physical World

    —

    by

    Kurt Seifried
    in

    Source URL: https://tech.slashdot.org/story/25/01/07/0031204/google-is-forming-a-new-team-to-build-ai-that-can-simulate-the-physical-world?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Google Is Forming a New Team To Build AI That Can Simulate the Physical World Feedly Summary: AI Summary and Description: Yes Summary: Google DeepMind is forming a new team focused on developing AI models that simulate the physical world, led by Tim Brooks. This initiative aims to build…

  • Hacker News: Things we learned out about LLMs in 2024

    —

    by

    system automation
    in

    Source URL: https://simonwillison.net/2024/Dec/31/llms-in-2024/ Source: Hacker News Title: Things we learned out about LLMs in 2024 Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses significant advancements and trends in Large Language Models (LLMs) throughout 2024, highlighting new technologies, efficiency improvements, cost reductions, and issues such as model usability and environmental impact. It…

  • Simon Willison’s Weblog: Things we learned out about LLMs in 2024

    —

    by

    system automation
    in

    Source URL: https://simonwillison.net/2024/Dec/31/llms-in-2024/#atom-everything Source: Simon Willison’s Weblog Title: Things we learned out about LLMs in 2024 Feedly Summary: A lot has happened in the world of Large Language Models over the course of 2024. Here’s a review of things we figured out about the field in the past twelve months, plus my attempt at identifying…

  • Hacker News: Performance of LLMs on Advent of Code 2024

    —

    by

    system automation
    in

    Source URL: https://www.jerpint.io/blog/advent-of-code-llms/ Source: Hacker News Title: Performance of LLMs on Advent of Code 2024 Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses an experiment evaluating the performance of Large Language Models (LLMs) during the Advent of Code 2024 challenge, revealing that LLMs did not perform as well as expected. The…

  • Slashdot: Google CEO Warns of High Stakes in 2025 AI Race

    —

    by

    system automation
    in

    Source URL: https://tech.slashdot.org/story/24/12/30/1113226/google-ceo-warns-of-high-stakes-in-2025-ai-race?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Google CEO Warns of High Stakes in 2025 AI Race Feedly Summary: AI Summary and Description: Yes Summary: Google CEO Sundar Pichai emphasizes the urgent need for the company to enhance its AI capabilities to compete effectively, particularly in light of growing regulatory scrutiny and the rapid advancement of…

  • Cloud Blog: A Look Back at the AI Innovations Transforming the Public Sector

    —

    by

    system automation
    in

    Source URL: https://cloud.google.com/blog/topics/public-sector/a-look-back-at-the-ai-innovations-transforming-the-public-sector/ Source: Cloud Blog Title: A Look Back at the AI Innovations Transforming the Public Sector Feedly Summary: 2024 was a year of incredible innovation and progress, as we continue to invest in bringing the best of Google AI to our customers around the world. The public sector is adopting the latest AI…

  • Hacker News: Can LLMs Accurately Recall the Bible

    —

    by

    system automation
    in

    Source URL: https://benkaiser.dev/can-llms-accurately-recall-the-bible/ Source: Hacker News Title: Can LLMs Accurately Recall the Bible Feedly Summary: Comments AI Summary and Description: Yes Summary: The text presents an evaluation of Large Language Models (LLMs) regarding their ability to accurately recall Bible verses. The analysis reveals significant differences in accuracy based on model size and parameter count, highlighting…

  • 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…

  • Slashdot: Google is Using Anthropic’s Claude To Improve Its Gemini AI

    —

    by

    system automation
    in

    Source URL: https://slashdot.org/story/24/12/24/176205/google-is-using-anthropics-claude-to-improve-its-gemini-ai?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Google is Using Anthropic’s Claude To Improve Its Gemini AI Feedly Summary: AI Summary and Description: Yes Summary: The text reports on contractors evaluating Google’s Gemini AI by comparing its outputs to those of competitor model Claude from Anthropic. The evaluation process involves rigorous criteria, highlighting industry’s competitive landscape…