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Tag: large language model

  • Schneier on Security: “Emergent Misalignment” in LLMs

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    Kurt Seifried
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    Source URL: https://www.schneier.com/blog/archives/2025/02/emergent-misalignment-in-llms.html Source: Schneier on Security Title: “Emergent Misalignment” in LLMs Feedly Summary: Interesting research: “Emergent Misalignment: Narrow finetuning can produce broadly misaligned LLMs“: Abstract: We present a surprising result regarding LLMs and alignment. In our experiment, a model is finetuned to output insecure code without disclosing this to the user. The resulting model…

  • The Register: Ampere bets on Arm to muscle into Intel’s telco territory

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/02/27/ampere_arm_intel_telco/ Source: The Register Title: Ampere bets on Arm to muscle into Intel’s telco territory Feedly Summary: Chipmaker touts high-core, low-power Altra processors as the future of 5G and AI inferencing Ampere Computing is looking to target the telecoms market with its Arm-based server chips, hoping to take a slice of the growing…

  • The Register: Does terrible code drive you mad? Wait until you see what it does to OpenAI’s GPT-4o

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/02/27/llm_emergent_misalignment_study/ Source: The Register Title: Does terrible code drive you mad? Wait until you see what it does to OpenAI’s GPT-4o Feedly Summary: Model was fine-tuned to write vulnerable software – then suggested enslaving humanity Computer scientists have found that fine-tuning notionally safe large language models to do one thing badly can negatively…

  • Slashdot: Inception Emerges From Stealth With a New Type of AI Model

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    Kurt Seifried
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    Source URL: https://slashdot.org/story/25/02/26/2257224/inception-emerges-from-stealth-with-a-new-type-of-ai-model?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Inception Emerges From Stealth With a New Type of AI Model Feedly Summary: AI Summary and Description: Yes Summary: Inception, a startup led by Stanford professor Stefano Ermon, has developed a highly efficient diffusion-based large language model (DLM) that surpasses traditional models in both speed and cost-effectiveness. By enabling…

  • Hacker News: Open Source LLMOps Stack

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    Kurt Seifried
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    Source URL: https://oss-llmops-stack.com Source: Hacker News Title: Open Source LLMOps Stack Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces the “Open Source LLMOps Stack,” highlighting the importance of selecting the right technology stack for building LLM-powered applications. It focuses on two primary tools: LiteLLM for managing multiple LLM models and Langfuse…

  • Hacker News: From Records to Agents: The Overlooked Revolution in Enterprise Software

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    Kurt Seifried
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    Source URL: https://sperand.io/posts/the-future-of-enterprise-software/ Source: Hacker News Title: From Records to Agents: The Overlooked Revolution in Enterprise Software Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text outlines a transformative shift in enterprise software, moving from static records to autonomous business objects. This evolution involves the integration of artificial intelligence (AI) and advanced workflows,…

  • Simon Willison’s Weblog: Gemini 2.0 Flash and Flash-Lite

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Feb/25/gemini-20-flash-and-flash-lite/ Source: Simon Willison’s Weblog Title: Gemini 2.0 Flash and Flash-Lite Feedly Summary: Gemini 2.0 Flash and Flash-Lite Gemini 2.0 Flash-Lite is now generally available – previously it was available just as a preview – and has announced pricing. The model is $0.075/million input tokens and $0.030/million output – the same price as…

  • 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…

  • Hacker News: Hard problems that reduce to document ranking

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    Kurt Seifried
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    Source URL: https://noperator.dev/posts/document-ranking-for-complex-problems/ Source: Hacker News Title: Hard problems that reduce to document ranking Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the innovative application of large language models (LLMs) in document ranking, particularly for locating vulnerabilities in code patches. It presents a novel approach to addressing complex security problems by…