Tag: limitations

Source URL: https://developers.slashdot.org/story/25/02/07/2246202/googles-7-year-slog-to-improve-chrome-extensions-still-hasnt-satisfied-developers?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Google’s 7-Year Slog To Improve Chrome Extensions Still Hasn’t Satisfied Developers Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the challenges faced by developers of Chrome extensions, particularly ad blockers and privacy tools, due to Google’s recent overhaul of the Chrome extension architecture. It highlights frustrations…

Hacker News: The Impact of AI on the Technical Interview Process

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Source URL: https://coderev.app/blog/the-impact-of-ai-on-the-technical-interview-process/ Source: Hacker News Title: The Impact of AI on the Technical Interview Process Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the evolving role of AI in the technical interview process, highlighting the limitations of traditional coding assessments and the need for teams to adapt their screening methods.…

Hacker News: Why LLMs still suck at OCR

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Source URL: https://www.runpulse.com/blog/why-llms-suck-at-ocr Source: Hacker News Title: Why LLMs still suck at OCR Feedly Summary: Comments AI Summary and Description: Yes Summary: The text explores the challenges faced when using Large Language Models (LLMs) for tasks like Optical Character Recognition (OCR) and complex data extraction, emphasizing their limitations in processing intricate document layouts and the…

Hacker News: Using pip to install a Large Language Model that’s under 100MB

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Source URL: https://simonwillison.net/2025/Feb/7/pip-install-llm-smollm2/ Source: Hacker News Title: Using pip to install a Large Language Model that’s under 100MB Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the release of a new Python package, llm-smollm2, which allows users to install a quantized Large Language Model (LLM) under 100MB through pip. It provides…

Irrational Exuberance: How should we control access to user data?

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Source URL: https://lethain.com/user-data-access-strategy/ Source: Irrational Exuberance Title: How should we control access to user data? Feedly Summary: At some point in a startup’s lifecycle, they decide that they need to be ready to go public in 18 months, and a flurry of IPO-readiness activity kicks off. This strategy focuses on a company working on IPO…

Simon Willison’s Weblog: Using pip to install a Large Language Model that’s under 100MB

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Source URL: https://simonwillison.net/2025/Feb/7/pip-install-llm-smollm2/ Source: Simon Willison’s Weblog Title: Using pip to install a Large Language Model that’s under 100MB Feedly Summary: I just released llm-smollm2, a new plugin for LLM that bundles a quantized copy of the SmolLM2-135M-Instruct LLM inside of the Python package. This means you can now pip install a full LLM! If…

The Register: Google’s 7-year slog to improve Chrome extensions still hasn’t satisfied developers

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Source URL: https://www.theregister.com/2025/02/07/google_chrome_extensions/ Source: The Register Title: Google’s 7-year slog to improve Chrome extensions still hasn’t satisfied developers Feedly Summary: Makers of content blockers, privacy add-ons say promises weren’t kept Google’s overhaul of Chrome’s extension architecture continues to pose problems for developers of ad blockers, content filters, and privacy tools.… AI Summary and Description: Yes…

Hacker News: HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models

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Source URL: https://arxiv.org/abs/2405.14831 Source: Hacker News Title: HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper presents HippoRAG, an innovative framework designed to enhance the long-term memory capabilities of Large Language Models (LLMs) by emulating neurobiological processes. This work is particularly relevant for AI…

Slashdot: Google Tests AI-Powered Search Mode With Employees

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