Tag: stack
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Hacker News: The Future of Programming: Copilots vs. Agents (Part I)
Source URL: https://eastwind.substack.com/p/the-future-of-programming-copilots Source: Hacker News Title: The Future of Programming: Copilots vs. Agents (Part I) Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the competitive landscape of AI code generation tools, particularly focusing on offerings from Microsoft (GitHub Copilot), Codeium, and Cursor. It reviews user experiences, strengths, and weaknesses of…
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Hacker News: LLMs have indeed reached a point of diminishing returns
Source URL: https://garymarcus.substack.com/p/confirmed-llms-have-indeed-reached Source: Hacker News Title: LLMs have indeed reached a point of diminishing returns Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the limitations and diminishing returns of scaling in AI, particularly in deep learning and large language models (LLMs). It highlights a growing recognition within the industry of…
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Slashdot: How Samsung Fell Behind in the AI Boom – and Lost $126 Billion in Market Value
Source URL: https://hardware.slashdot.org/story/24/11/09/1853256/how-samsung-fell-behind-in-the-ai-boom—and-lost-126-billion-in-market-value?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: How Samsung Fell Behind in the AI Boom – and Lost $126 Billion in Market Value Feedly Summary: AI Summary and Description: Yes Summary: The text discusses Samsung’s financial struggles and its failure to capitalize on the AI boom, particularly in the high-bandwidth memory (HBM) sector critical for AI…
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Simon Willison’s Weblog: Project: VERDAD – tracking misinformation in radio broadcasts using Gemini 1.5
Source URL: https://simonwillison.net/2024/Nov/7/project-verdad/#atom-everything Source: Simon Willison’s Weblog Title: Project: VERDAD – tracking misinformation in radio broadcasts using Gemini 1.5 Feedly Summary: I’m starting a new interview series called Project. The idea is to interview people who are building interesting data projects and talk about what they’ve built, how they built it, and what they learned…