Common Crawl
PulseAugur coverage of Common Crawl — every cluster mentioning Common Crawl across labs, papers, and developer communities, ranked by signal.
6 day(s) with sentiment data
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Andrej Karpathy details LLM training, from data to 'Swiss cheese' flaws
Andrej Karpathy's comprehensive explanation of Large Language Models (LLMs) like ChatGPT breaks down the entire training process, from data collection and tokenization to the Transformer architecture and next-token pred…
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AI crawler traffic often spoofs identities, analysis shows · 1 source tracked
A recent analysis of server logs from four new, small websites over one week in October 2026 revealed that a significant portion of traffic claiming to be from AI crawlers like GPTBot and ClaudeBot originated from IP ad…
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AI agents weaponized for data theft, platform vulnerabilities exploited · 1 source tracked
The agent layer of AI is emerging as both a powerful tool for attackers and a significant vulnerability. In one instance, an attacker used 51 Claude Code agents to exfiltrate over 628,000 Ukrainian records, demonstratin…
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LLM construction: Data, post-training, and evaluation are key, not just architecture
Most explanations of how large language models (LLMs) are built focus on architecture and attention mechanisms, neglecting crucial aspects like data pipelines, post-training techniques, and evaluation methods. A detaile…
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AI agents vulnerable to prompt injection via HTTP headers
A security analysis of 217 million web responses revealed that a small fraction of websites are attempting prompt injection attacks via HTTP headers. While most of these attempts are harmless, a significant portion, par…
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Developer encounters Common Crawl index errors; AI integration tutorial released
A developer has been monitoring the Common Crawl index for their website since May, encountering a significant number of HTTP errors, particularly during early morning UTC hours. These failures, including 503, 504, and …
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New paper suggests host-aware crawling for better LLM pretraining data
A new paper proposes a host-aware web crawling strategy to improve the quality of pretraining data for large language models (LLMs). The research indicates that a significant portion of data quality variation occurs bet…
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Graph foundation models evaluated against GNNs; new Acacia model trained on web graph
Two new research papers explore the capabilities and limitations of graph foundation models (GFMs). The first paper, NodeGround, introduces a benchmark to systematically evaluate GFMs against traditional graph neural ne…
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7B model ZGCM-1 prioritizes tool use and large context over memorization
Researchers from Zhongguancun Academy and Zhongguancun Institute of AI have developed ZGCM-1, a 7.39B parameter model that prioritizes tool use and a large context window over memorizing vast datasets. This approach all…
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Data Scout method improves AI pretraining corpus creation
Researchers have developed a new method called Data Scout for creating specialized pretraining corpora for AI models. Unlike traditional approaches that filter large web archives, Data Scout directs targeted crawls base…
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Anthropic sued for billions over alleged AI training data piracy · 1 source tracked
Anthropic faces a significant lawsuit from Sony Music Publishing and Warner Chappell, who allege the company's AI models were trained on tens of thousands of copyrighted songs without permission. The plaintiffs are seek…
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New video pretraining method and 10M-hour dataset released
Researchers have introduced LeVJEPA, a novel video pretraining method that significantly reduces computational costs while maintaining or improving downstream accuracy. This approach bypasses common heuristics like arch…
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New GEO strategy aims to boost content visibility in AI search engines
The article outlines a strategy called Generative Engine Optimization (GEO) for content creators to improve their visibility within AI-powered search engines like ChatGPT and Perplexity. Key recommendations include conf…
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Study: Over 35% of web pages post-ChatGPT show AI authorship · 9 sources tracked
A recent study by the Pew Research Center indicates that over a third of web pages published since the launch of ChatGPT show signs of AI authorship or substantial editing. This trend is particularly pronounced in .com …
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New SCRIBES framework extracts web data using reusable scripts
Researchers have developed SCRIBES, a reinforcement learning framework designed to extract structured information from semi-structured web content like HTML tables and lists. This method generates reusable extraction sc…
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Paper reveals unit bias in LLM corpus statistics, losing significant text data
A new paper highlights a significant discrepancy in how large language model training datasets are measured, specifically concerning web-PDF corpora. Researchers found that statistics often report corpus size in tokens …
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Bengali LLM support lags due to data scarcity, not demand
Despite having a large number of native speakers, Bengali language support in large language models lags significantly behind languages with fewer speakers. This disparity is not due to a lack of demand but rather a sca…
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New method audits Chinese web corpora for LLM pollution
Researchers have developed a new method called Sampled-BPE to efficiently audit large Chinese web corpora for language model pollution. This technique significantly reduces runtime and memory usage compared to full scan…
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AWS Open Data Registry Gets MCP Server for Improved Data Discovery
The Registry of Open Data on AWS, a catalog of over a thousand datasets, faces an interface problem where finding specific data is challenging despite its availability. A new MCP server aims to address this by acting as…
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New CuraWeb corpus boosts LLM performance with optimized data curation
Researchers have developed CuraWeb, a new 2 trillion token English corpus designed to improve the pretraining data for large language models. Unlike previous methods that focused on singular optimization objectives, Cur…