Tag: datasets
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Hacker News: Questioning the Criteria for Evaluating Non-Cryptographic Hash Functions
Source URL: https://cacm.acm.org/practice/questioning-the-criteria-for-evaluating-non-cryptographic-hash-functions/ Source: Hacker News Title: Questioning the Criteria for Evaluating Non-Cryptographic Hash Functions Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides an in-depth examination of both cryptographic and non-cryptographic hash functions, highlighting their importance in computing practices, security requirements, and performance in various applications. It reveals critical insights into…
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Slashdot: Oracle’s Ellison Calls for Governments To Unify Data To Feed AI
Source URL: https://developers.slashdot.org/story/25/02/12/1857208/oracles-ellison-calls-for-governments-to-unify-data-to-feed-ai?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Oracle’s Ellison Calls for Governments To Unify Data To Feed AI Feedly Summary: AI Summary and Description: Yes Summary: Larry Ellison advocates for the consolidation of national data to enhance AI model effectiveness, emphasizing the need for a unified, secure database. This approach could yield significant improvements in public…
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Hacker News: Automated Capability Discovery via Foundation Model Self-Exploration
Source URL: https://arxiv.org/abs/2502.07577 Source: Hacker News Title: Automated Capability Discovery via Foundation Model Self-Exploration Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper “Automated Capability Discovery via Model Self-Exploration” introduces a new framework (Automated Capability Discovery or ACD) designed to evaluate foundation models’ abilities by allowing one model to propose tasks for another…
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Hacker News: Replicating Deepseek-R1 for $4500: RL Boosts 1.5B Model Beyond o1-preview
Source URL: https://github.com/agentica-project/deepscaler Source: Hacker News Title: Replicating Deepseek-R1 for $4500: RL Boosts 1.5B Model Beyond o1-preview Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text describes the release of DeepScaleR, an open-source project aimed at democratizing reinforcement learning (RL) for large language models (LLMs). It highlights the project’s capabilities, training methodologies, and…
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Hacker News: Scaling Up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach
Source URL: https://arxiv.org/abs/2502.05171 Source: Hacker News Title: Scaling Up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses a novel language model architecture that enhances test-time computation through latent reasoning, presenting a new methodology that contrasts with traditional reasoning models. It emphasizes the…
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Hacker News: The Anthropic Economic Index
Source URL: https://www.anthropic.com/news/the-anthropic-economic-index Source: Hacker News Title: The Anthropic Economic Index Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the launch of the Anthropic Economic Index, which aims to analyze the impact of AI on labor markets and productivity through a dataset derived from millions of anonymized conversations with Claude.ai. This…
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Hacker News: LIMO: Less Is More for Reasoning
Source URL: https://arxiv.org/abs/2502.03387 Source: Hacker News Title: LIMO: Less Is More for Reasoning Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper titled “LIMO: Less is More for Reasoning” presents groundbreaking insights into how complex reasoning can be achieved with fewer training examples in large language models. This challenges traditional beliefs about data…