Experimental News Clipping Site

Tag: large language models

  • Hacker News: Amidst the Noise and Haste, Google Has Successfully Pulled a SpaceX

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    Kurt Seifried
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    Source URL: https://markmaunder.com/2025/amidst-the-noise-and-haste-google-has-successfully-pulled-a-spacex/ Source: Hacker News Title: Amidst the Noise and Haste, Google Has Successfully Pulled a SpaceX Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides a detailed timeline of Google’s advancements in AI hardware, specifically TPUs, and their strategic approach to vertical integration within the tech supply chain. It contrasts…

  • AI Tracker – Track Global AI Regulations: AI Agents: An Overview

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    Kurt Seifried
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    Source URL: https://tracker.holisticai.com/feed/ai-agents Source: AI Tracker – Track Global AI Regulations Title: AI Agents: An Overview Feedly Summary: AI Summary and Description: Yes Summary: The text discusses AI agents, which are autonomous systems built on large language models (LLMs). It outlines their functionalities, potential enterprise applications, and inherent risks, emphasizing their relevance to professionals focused…

  • MCP Server Cloud – The Model Context Protocol Server Directory: MCP Image Generation Server – MCP Server Integration

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    Kurt Seifried
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    Source URL: https://mcpserver.cloud/server/mcp-image-generation-server Source: MCP Server Cloud – The Model Context Protocol Server Directory Title: MCP Image Generation Server – MCP Server Integration Feedly Summary: AI Summary and Description: Yes Summary: The text describes a Go implementation of a Model Context Protocol (MCP) server integrated with OpenAI’s DALL-E API for generating images from text prompts.…

  • Hacker News: Killed by LLM

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    system automation
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    Source URL: https://r0bk.github.io/killedbyllm/ Source: Hacker News Title: Killed by LLM Feedly Summary: Comments AI Summary and Description: Yes Summary: The provided text discusses a methodology for documenting benchmarks related to Large Language Models (LLMs), highlighting the inconsistencies among various performance scores. This is particularly relevant for professionals in AI security and LLM security, as it…

  • Hacker News: Magna: Embedding similarity search tool for searching within large documents

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    Source URL: https://github.com/yousef-rafat/Magna Source: Hacker News Title: Magna: Embedding similarity search tool for searching within large documents Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides insights into a tool named Magna, which employs Embedding Similarity Search, a method leveraged in large language models (LLMs). This functionality allows for semantically understanding and…

  • Simon Willison’s Weblog: Weeknotes: Starting 2025 a little slow

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    Source URL: https://simonwillison.net/2025/Jan/4/weeknotes/#atom-everything Source: Simon Willison’s Weblog Title: Weeknotes: Starting 2025 a little slow Feedly Summary: I published my review of 2024 in LLMs and then got into a fight with most of the internet over the phone microphone targeted ads conspiracy theory. In my last weeknotes I talked about how December in LLMs has…

  • Simon Willison’s Weblog: Quoting Colin Fraser

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    Source URL: https://simonwillison.net/2025/Jan/4/colin-fraser/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Colin Fraser Feedly Summary: Claude is not a real guy. Claude is a character in the stories that an LLM has been programmed to write. Just to give it a distinct name, let’s call the LLM “the Shoggoth". When you have a conversation with Claude, what’s…

  • Simon Willison’s Weblog: Using LLMs and Cursor to become a finisher

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    Source URL: https://simonwillison.net/2025/Jan/4/llms-and-cursor/#atom-everything Source: Simon Willison’s Weblog Title: Using LLMs and Cursor to become a finisher Feedly Summary: Using LLMs and Cursor to become a finisher Zohaib Rauf describes a pattern I’ve seen quite a few examples of now: engineers who moved into management but now find themselves able to ship working code again (at…

  • Simon Willison’s Weblog: What we learned copying all the best code assistants

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    Source URL: https://simonwillison.net/2025/Jan/4/what-we-learned-copying-all-the-best-code-assistants/ Source: Simon Willison’s Weblog Title: What we learned copying all the best code assistants Feedly Summary: What we learned copying all the best code assistants Steve Krouse describes Val Town’s experience so far building features that use LLMs, starting with completions (powered by Codeium and Val Town’s own codemirror-codeium extension) and then…

  • Slashdot: Dire Predictions for 2025 Include ‘Largest Cyberattack in History’

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    Source URL: https://it.slashdot.org/story/25/01/04/1839246/dire-predictions-for-2025-include-largest-cyberattack-in-history?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Dire Predictions for 2025 Include ‘Largest Cyberattack in History’ Feedly Summary: AI Summary and Description: Yes **Summary:** The text discusses potential “Black Swan” events for 2025, particularly highlighting the anticipated risks associated with cyberattacks bolstered by generative AI and large language models. This insight is crucial for security professionals,…