Experimental News Clipping Site

Tag: computational resources

  • Hacker News: The most underreported story in AI is that scaling has failed to produce AGI

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    Kurt Seifried
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    Source URL: https://fortune.com/2025/02/19/generative-ai-scaling-agi-deep-learning/ Source: Hacker News Title: The most underreported story in AI is that scaling has failed to produce AGI Feedly Summary: Comments AI Summary and Description: Yes Summary: The commentary discusses the limitations of scaling in generative AI, addressing concerns that merely increasing computational resources does not equate to genuine intelligence. It highlights…

  • Hacker News: It’s time to become an ML engineer

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    Kurt Seifried
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    Source URL: https://blog.gregbrockman.com/its-time-to-become-an-ml-engineer Source: Hacker News Title: It’s time to become an ML engineer Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the evolution and significance of AI models like GPT-3 and DALL-E 2, highlighting their practical applications and the importance of software engineering in advancing AI. It emphasizes the blend…

  • Hacker News: Grok 3: Another Win for the Bitter Lesson

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    Kurt Seifried
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    Source URL: https://www.thealgorithmicbridge.com/p/grok-3-another-win-for-the-bitter Source: Hacker News Title: Grok 3: Another Win for the Bitter Lesson Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the advancements of the AI model Grok 3 by xAI and its implications within the context of the scaling laws that dictate AI progress. It highlights the contrasting…

  • The Register: Grok 3 wades into the AI wars with ‘beta’ rollout

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/02/18/grok_3/ Source: The Register Title: Grok 3 wades into the AI wars with ‘beta’ rollout Feedly Summary: Musk’s latest attempt at a ‘maximally truth-seeking’ bot arrives Grok 3 has begun rolling out. xAI founder Elon Musk describes the chatbot as “a maximally truth-seeking AI, even if that truth is sometimes at odds with…

  • Hacker News: Rust: Doubling Throughput with Continuous Profiling and Optimization

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    Kurt Seifried
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    Source URL: https://www.polarsignals.com/blog/posts/2025/02/11/doubling-throughput-with-continuous-profiling-and-optimization Source: Hacker News Title: Rust: Doubling Throughput with Continuous Profiling and Optimization Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses how S2, a serverless API for streaming data, optimized its cloud infrastructure performance and reduced operational costs through the implementation of continuous profiling with Polar Signals Cloud. This…

  • Simon Willison’s Weblog: Nomic Embed Text V2: An Open Source, Multilingual, Mixture-of-Experts Embedding Model

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Feb/12/nomic-embed-text-v2/#atom-everything Source: Simon Willison’s Weblog Title: Nomic Embed Text V2: An Open Source, Multilingual, Mixture-of-Experts Embedding Model Feedly Summary: Nomic Embed Text V2: An Open Source, Multilingual, Mixture-of-Experts Embedding Model Nomic continue to release the most interesting and powerful embedding models. Their latest is Embed Text V2, an Apache 2.0 licensed multi-lingual 1.9GB…

  • Hacker News: Experience the DeepSeek R1 Distilled ‘Reasoning’ Models on Ryzen AI and Radeon

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    Kurt Seifried
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    Source URL: https://community.amd.com/t5/ai/experience-the-deepseek-r1-distilled-reasoning-models-on-amd/ba-p/740593 Source: Hacker News Title: Experience the DeepSeek R1 Distilled ‘Reasoning’ Models on Ryzen AI and Radeon Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the DeepSeek R1 model, a newly developed reasoning model in the realm of large language models (LLMs). It highlights its unique ability to perform…

  • Hacker News: Understanding Reasoning LLMs

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    Kurt Seifried
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    Source URL: https://magazine.sebastianraschka.com/p/understanding-reasoning-llms Source: Hacker News Title: Understanding Reasoning LLMs Feedly Summary: Comments AI Summary and Description: Yes Summary: The text explores advancements in reasoning models associated with large language models (LLMs), focusing particularly on the development of DeepSeek’s reasoning model and various approaches to enhance LLM capabilities through structured training methodologies. This examination is…

  • Hacker News: Auto-Differentiating Any LLM Workflow: A Farewell to Manual Prompting

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    Kurt Seifried
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    Source URL: https://arxiv.org/abs/2501.16673 Source: Hacker News Title: Auto-Differentiating Any LLM Workflow: A Farewell to Manual Prompting Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses LLM-AutoDiff, a novel framework aimed at improving the efficiency of prompt engineering for large language models (LLMs) by utilizing automatic differentiation principles. This development has significant implications…

  • Hacker News: A step-by-step guide on deploying DeepSeek-R1 671B locally

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    Kurt Seifried
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    Source URL: https://snowkylin.github.io/blogs/a-note-on-deepseek-r1.html Source: Hacker News Title: A step-by-step guide on deploying DeepSeek-R1 671B locally Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text provides a detailed guide for deploying DeepSeek R1 671B AI models locally using ollama, including hardware requirements, installation steps, and observations on model performance. This information is particularly relevant…