Experimental News Clipping Site

Tag: training data

  • Cloud Blog: How to calculate your AI costs on Google Cloud

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/topics/cost-management/unlock-the-true-cost-of-enterprise-ai-on-google-cloud/ Source: Cloud Blog Title: How to calculate your AI costs on Google Cloud Feedly Summary: What is the true cost of enterprise AI? As a technology leader and a steward of company resources, understanding these costs isn’t just prudent – it’s essential for sustainable AI adoption. To help, we’ll unveil a comprehensive…

  • Hacker News: SOTA Code Retrieval with Efficient Code Embedding Models

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    Kurt Seifried
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    Source URL: https://www.qodo.ai/blog/qodo-embed-1-code-embedding-code-retreival/ Source: Hacker News Title: SOTA Code Retrieval with Efficient Code Embedding Models Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces Qodo-Embed-1, a new family of code embedding models that outperforms larger models in code retrieval tasks while maintaining a smaller footprint. It emphasizes the challenges existing models face…

  • Simon Willison’s Weblog: Quoting Kellan Elliott-McCrea

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Mar/2/kellan-elliott-mccrea/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Kellan Elliott-McCrea Feedly Summary: Regarding the recent blog post, I think a simpler explanation is that hallucinating a non-existent library is a such an inhuman error it throws people. A human making such an error would be almost unforgivably careless. — Kellan Elliott-McCrea Tags: ai-assisted-programming, generative-ai,…

  • Simon Willison’s Weblog: Hallucinations in code are the least dangerous form of LLM mistakes

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Mar/2/hallucinations-in-code/#atom-everything Source: Simon Willison’s Weblog Title: Hallucinations in code are the least dangerous form of LLM mistakes Feedly Summary: A surprisingly common complaint I see from developers who have tried using LLMs for code is that they encountered a hallucination – usually the LLM inventing a method or even a full software library…

  • Hacker News: Crossing the uncanny valley of conversational voice

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    Kurt Seifried
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    Source URL: https://www.sesame.com/research/crossing_the_uncanny_valley_of_voice#demo Source: Hacker News Title: Crossing the uncanny valley of conversational voice Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses advancements in conversational AI, particularly the development of a Conversational Speech Model (CSM) that aims to enhance the emotional and contextual nuances of machine-generated speech, making it more human-like…

  • 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: 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…

  • Hacker News: The journalists training AI models for Meta and OpenAI

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    Kurt Seifried
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    Source URL: https://www.niemanlab.org/2025/02/meet-the-journalists-training-ai-models-for-meta-and-openai/ Source: Hacker News Title: The journalists training AI models for Meta and OpenAI Feedly Summary: Comments AI Summary and Description: Yes **Short Summary with Insight:** The text discusses the increasing trend of journalists transitioning to data-related roles, particularly in AI model training, due to economic pressures in traditional journalism. It highlights how…

  • 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…

  • Slashdot: Meet the Journalists Training AI Models for Meta and OpenAI

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    Kurt Seifried
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    Source URL: https://news.slashdot.org/story/25/02/23/2111201/meet-the-journalists-training-ai-models-for-meta-and-openai?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Meet the Journalists Training AI Models for Meta and OpenAI Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the evolving role of journalists in the AI landscape, particularly through platforms like Outlier, where they are engaged in training AI models. This shift highlights the intersection of…