Tag: llm

Source URL: https://slashdot.org/story/25/06/19/165237/reasoning-llms-deliver-value-today-so-agi-hype-doesnt-matter?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Reasoning LLMs Deliver Value Today, So AGI Hype Doesn’t Matter Feedly Summary: AI Summary and Description: Yes Summary: The commentary by Simon Willison highlights a debate surrounding the effectiveness and applicability of large language models (LLMs), particularly in the context of their limitations and the recent critiques by various…

Simon Willison’s Weblog: Quoting Workaccount2 on Hacker News

—

by

Source URL: https://simonwillison.net/2025/Jun/18/context-rot/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Workaccount2 on Hacker News Feedly Summary: They poison their own context. Maybe you can call it context rot, where as context grows and especially if it grows with lots of distractions and dead ends, the output quality falls off rapidly. Even with good context the rot…

Simon Willison’s Weblog: Coding agents require skilled operators

—

by

Source URL: https://simonwillison.net/2025/Jun/18/coding-agents/#atom-everything Source: Simon Willison’s Weblog Title: Coding agents require skilled operators Feedly Summary: I wrote this recently in a conversation about whether coding agents can work as a replacement for human programmers. The “agentic" coding tools we have right now work like this: A skilled individual with both deep domain understanding and deep…

OpenAI : Toward understanding and preventing misalignment generalization

—

by

Source URL: https://openai.com/index/emergent-misalignment Source: OpenAI Title: Toward understanding and preventing misalignment generalization Feedly Summary: We study how training on incorrect responses can cause broader misalignment in language models and identify an internal feature driving this behavior—one that can be reversed with minimal fine-tuning. AI Summary and Description: Yes Summary: The text discusses the potential negative…

Wired: This AI Model Never Stops Learning

—

by

Source URL: https://www.wired.com/story/this-ai-model-never-stops-learning/ Source: Wired Title: This AI Model Never Stops Learning Feedly Summary: Scientists at Massachusetts Institute of Technology have devised a way for large language models to keep learning on the fly—a step toward building AI that continually improves itself. AI Summary and Description: Yes Summary: The text highlights a significant breakthrough by…

The Register: Training AI on Mastodon posts? The idea’s extinct after terms updated

—

by

Source URL: https://www.theregister.com/2025/06/18/mastodon_says_no_to_ai/ Source: The Register Title: Training AI on Mastodon posts? The idea’s extinct after terms updated Feedly Summary: Such rules could be tricky to enforce in the Fediverse, though Mastodon is the latest platform to push back against AI training, updating its terms and conditions to ban the use of user content for…

Docker: Why Docker Chose OCI Artifacts for AI Model Packaging

—

by

Source URL: https://www.docker.com/blog/why-docker-chose-oci-artifacts-for-ai-model-packaging/ Source: Docker Title: Why Docker Chose OCI Artifacts for AI Model Packaging Feedly Summary: As AI development accelerates, developers need tools that let them move fast without having to reinvent their workflows. Docker Model Runner introduces a new specification for packaging large language models (LLMs) as OCI artifacts — a format developers…

CSA: Scoping Your ISMS for ISO 27001 Success

—

by

Source URL: https://www.schellman.com/blog/iso-certifications/determining-iso-27001-scope Source: CSA Title: Scoping Your ISMS for ISO 27001 Success Feedly Summary: AI Summary and Description: Yes **Summary:** The text provides a detailed guide on developing an Information Security Management System (ISMS) based on the ISO 27001 standard, which is critical for organizations aiming for certification. It emphasizes the importance of scoping…

SecurityBrief Asia: Cloud Security Alliance launches Valid-AI-ted tool for STAR checks

—

by