Tag: Wind
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Hacker News: DOJ proposal would require Google to divest from AI partnerships with Anthropic
Source URL: https://www.bloomberg.com/news/articles/2024-11-21/us-justice-department-seeks-to-unwind-google-s-anthropic-deal Source: Hacker News Title: DOJ proposal would require Google to divest from AI partnerships with Anthropic Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses a potential legal development concerning Google’s partnership with AI startup Anthropic in the context of a federal antitrust case. This situation highlights regulatory scrutiny…
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The Register: Here’s what happens if you don’t layer network security – or remove unused web shells
Source URL: https://www.theregister.com/2024/11/22/cisa_red_team_exercise/ Source: The Register Title: Here’s what happens if you don’t layer network security – or remove unused web shells Feedly Summary: TL;DR: Attackers will break in and pwn you, as a US government red team demonstrated The US Cybersecurity and Infrastructure Agency often breaks into critical organizations’ networks – with their permission,…
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Hacker News: Security researchers identify new malware targeting Linux
Source URL: https://www.welivesecurity.com/en/eset-research/unveiling-wolfsbane-gelsemiums-linux-counterpart-to-gelsevirine/ Source: Hacker News Title: Security researchers identify new malware targeting Linux Feedly Summary: Comments AI Summary and Description: Yes Summary: ESET researchers have revealed the emergence of Linux malware associated with the Gelsemium APT group, marking a significant shift in their tactics as they move beyond Windows-targeted malware. The malware includes notable…
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Hacker News: Comparison of Claude Sonnet 3.5, GPT-4o, o1, and Gemini 1.5 Pro for coding
Source URL: https://www.qodo.ai/blog/comparison-of-claude-sonnet-3-5-gpt-4o-o1-and-gemini-1-5-pro-for-coding/ Source: Hacker News Title: Comparison of Claude Sonnet 3.5, GPT-4o, o1, and Gemini 1.5 Pro for coding Feedly Summary: Comments AI Summary and Description: Yes **Summary:** This text provides a comprehensive analysis of various AI models, particularly focusing on recent advancements in LLMs (Large Language Models) for coding tasks. It assesses the…
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Cloud Blog: Don’t let resource exhaustion leave your users hanging: A guide to handling 429 errors
Source URL: https://cloud.google.com/blog/products/ai-machine-learning/learn-how-to-handle-429-resource-exhaustion-errors-in-your-llms/ Source: Cloud Blog Title: Don’t let resource exhaustion leave your users hanging: A guide to handling 429 errors Feedly Summary: Large language models (LLMs) give developers immense power and scalability, but managing resource consumption is key to delivering a smooth user experience. LLMs demand significant computational resources, which means it’s essential to…
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The Register: Arm lays down the law with a blueprint to challenge x86’s PC dominance
Source URL: https://www.theregister.com/2024/11/21/arm_pcbsa_reference_architecture/ Source: The Register Title: Arm lays down the law with a blueprint to challenge x86’s PC dominance Feedly Summary: Now it’s up to OEMs and devs to decide whether they want in Arm has published its PC Base System Architecture (PC-BSA) specification, the blueprint for standardizing Arm-based PCs.… AI Summary and Description:…
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Simon Willison’s Weblog: TextSynth Server
Source URL: https://simonwillison.net/2024/Nov/21/textsynth-server/ Source: Simon Willison’s Weblog Title: TextSynth Server Feedly Summary: TextSynth Server I’d missed this: Fabrice Bellard (yes, that Fabrice Bellard) has a project called TextSynth Server which he describes like this: ts_server is a web server proposing a REST API to large language models. They can be used for example for text…
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Simon Willison’s Weblog: Quoting Steven Johnson
Source URL: https://simonwillison.net/2024/Nov/21/steven-johnson/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Steven Johnson Feedly Summary: When we started working on what became NotebookLM in the summer of 2022, we could fit about 1,500 words in the context window. Now we can fit up to 1.5 million words. (And using various other tricks, effectively fit 25 million words.)…