Tag: lm

  • The Register: Anthropic’s Claude vulnerable to ’emotional manipulation’

    Source URL: https://www.theregister.com/2024/10/12/anthropics_claude_vulnerable_to_emotional/ Source: The Register Title: Anthropic’s Claude vulnerable to ’emotional manipulation’ Feedly Summary: AI model safety only goes so far Anthropic’s Claude 3.5 Sonnet, despite its reputation as one of the better behaved generative AI models, can still be convinced to emit racist hate speech and malware.… AI Summary and Description: Yes Summary:…

  • Hacker News: AI Winter Is Coming

    Source URL: https://leehanchung.github.io/blogs/2024/09/20/ai-winter/ Source: Hacker News Title: AI Winter Is Coming Feedly Summary: Comments AI Summary and Description: Yes Summary: The text critiques the current state of AI research and the overwhelming presence of promoters over producers within the academia and industry. It highlights issues related to publication pressures, misinformation from influencers, and the potential…

  • Slashdot: Silicon Valley Is Debating If AI Weapons Should Be Allowed To Decide To Kill

    Source URL: https://tech.slashdot.org/story/24/10/11/1954252/silicon-valley-is-debating-if-ai-weapons-should-be-allowed-to-decide-to-kill?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Silicon Valley Is Debating If AI Weapons Should Be Allowed To Decide To Kill Feedly Summary: AI Summary and Description: Yes Summary: The discussion surrounding the future of autonomous weapons is heating up, with notable figures from defense tech companies expressing varying opinions. While some advocate for human oversight…

  • Simon Willison’s Weblog: lm.rs: run inference on Language Models locally on the CPU with Rust

    Source URL: https://simonwillison.net/2024/Oct/11/lmrs/ Source: Simon Willison’s Weblog Title: lm.rs: run inference on Language Models locally on the CPU with Rust Feedly Summary: lm.rs: run inference on Language Models locally on the CPU with Rust Impressive new LLM inference implementation in Rust by Samuel Vitorino. I tried it just now on an M2 Mac with 64GB…