Experimental News Clipping Site

Tag: training methods

  • Simon Willison’s Weblog: Models can prompt now

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Sep/14/models-can-prompt/#atom-everything Source: Simon Willison’s Weblog Title: Models can prompt now Feedly Summary: Here’s an interesting example of models incrementally improving over time: I am finding that today’s leading models are competent at writing prompts for themselves and each other. A year ago I was quite skeptical of the pattern where models are used…

  • Cloud Blog: Google Public Sector supports AI-optimized HPC infrastructure for researchers at Caltech

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/topics/public-sector/google-public-sector-supports-ai-optimized-hpc-infrastructure-for-researchers-at-caltech/ Source: Cloud Blog Title: Google Public Sector supports AI-optimized HPC infrastructure for researchers at Caltech Feedly Summary: For decades, institutions like Caltech, have been at the forefront of large-scale artificial intelligence (AI) research. As high-performance computing (HPC) clusters continue to evolve, researchers across disciplines have been increasingly equipped to process massive datasets,…

  • Security Info Watch: Huntress launches Threat Simulator to educate users—from the hacker’s perspective

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    Kurt Seifried
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    Source URL: https://www.securityinfowatch.com/cybersecurity/press-release/55296212/huntress-huntress-launches-threat-simulator-to-educate-usersfrom-the-hackers-perspective Source: Security Info Watch Title: Huntress launches Threat Simulator to educate users—from the hacker’s perspective Feedly Summary: Huntress launches Threat Simulator to educate users—from the hacker’s perspective AI Summary and Description: Yes Summary: Huntress has launched Threat Simulator, an interactive training tool designed to enhance security awareness by simulating real-world hacker tactics.…

  • Hacker News: IETF setting standards for AI preferences

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    Kurt Seifried
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    Source URL: https://www.ietf.org/blog/aipref-wg/ Source: Hacker News Title: IETF setting standards for AI preferences Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the formation of the AI Preferences (AIPREF) Working Group, aimed at standardizing how content preferences are expressed for AI model training, amid concerns from content publishers about unauthorized use. This…

  • Hacker News: Understanding R1-Zero-Like Training: A Critical Perspective

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    Kurt Seifried
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    Source URL: https://github.com/sail-sg/understand-r1-zero Source: Hacker News Title: Understanding R1-Zero-Like Training: A Critical Perspective Feedly Summary: Comments AI Summary and Description: Yes Summary: The text presents a novel approach to LLM training called R1-Zero-like training, emphasizing a new reinforcement learning method termed Dr. GRPO that enhances reasoning capabilities. It highlights significant improvements in model performance through…

  • Slashdot: Nvidia Says ‘the Age of Generalist Robotics Is Here’

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    Kurt Seifried
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    Source URL: https://hardware.slashdot.org/story/25/03/18/2312229/nvidia-says-the-age-of-generalist-robotics-is-here?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Nvidia Says ‘the Age of Generalist Robotics Is Here’ Feedly Summary: AI Summary and Description: Yes Summary: Nvidia announced the Isaac GR00T N1, an open-source, customizable foundation model aimed at revolutionizing humanoid robotics. The model features a dual-system architecture that enhances robot learning and behavior, facilitating more advanced robot…

  • Simon Willison’s Weblog: Quoting Ai2

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Mar/13/ai2/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Ai2 Feedly Summary: Today we release OLMo 2 32B, the most capable and largest model in the OLMo 2 family, scaling up the OLMo 2 training recipe used for our 7B and 13B models released in November. It is trained up to 6T tokens and post-trained…

  • Hacker News: Narrow finetuning can produce broadly misaligned LLM [pdf]

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    Kurt Seifried
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    Source URL: https://martins1612.github.io/emergent_misalignment_betley.pdf Source: Hacker News Title: Narrow finetuning can produce broadly misaligned LLM [pdf] Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The document presents findings on the phenomenon of “emergent misalignment” in large language models (LLMs) like GPT-4o when finetuned on specific narrow tasks, particularly the creation of insecure code. The results…

  • The Register: DeepMind working on distributed training of large AI models

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/02/11/deepmind_distributed_model_training_research/ Source: The Register Title: DeepMind working on distributed training of large AI models Feedly Summary: Alternate process could be a game changer if they can make it practicable Is distributed training the future of AI? As the shock of the DeepSeek release fades, its legacy may be an awareness that alternative approaches…