Experimental News Clipping Site

Tag: writing

  • Tomasz Tunguz: My Prompt, My Reality

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    Kurt Seifried
    in

    Source URL: https://www.tomtunguz.com/user-perception-quality/ Source: Tomasz Tunguz Title: My Prompt, My Reality Feedly Summary: “Now with LLMs, a bunch of the perceived quality depends on your prompt. So you have users that are prompting with different skills or different level of skills. And the outcome of that prompt may be perceived as low quality, but that’s…

  • Slashdot: OpenAI Launches Codex, an AI Coding Agent, In ChatGPT

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    Kurt Seifried
    in

    Source URL: https://developers.slashdot.org/story/25/05/16/2052243/openai-launches-codex-an-ai-coding-agent-in-chatgpt?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: OpenAI Launches Codex, an AI Coding Agent, In ChatGPT Feedly Summary: AI Summary and Description: Yes Summary: OpenAI’s introduction of Codex marks a significant advancement in AI-driven software engineering capabilities, allowing for autonomous code writing, bug fixing, and testing within a cloud-based environment. This tool, powered by the codex-1…

  • Cloud Blog: Getting AI to write good SQL: Text-to-SQL techniques explained

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/databases/techniques-for-improving-text-to-sql/ Source: Cloud Blog Title: Getting AI to write good SQL: Text-to-SQL techniques explained Feedly Summary: Organizations depend on fast and accurate data-driven insights to make decisions, and SQL is at the core of how they access that data. With Gemini, Google can generate SQL directly from natural language — a.k.a. text-to-SQL. This…

  • Cloud Blog: AI Hypercomputer developer experience enhancements from Q1 25: build faster, scale bigger

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/compute/ai-hypercomputer-enhancements-for-the-developer/ Source: Cloud Blog Title: AI Hypercomputer developer experience enhancements from Q1 25: build faster, scale bigger Feedly Summary: Building cutting-edge AI models is exciting, whether you’re iterating in your notebook or orchestrating large clusters. However, scaling up training can present significant challenges, including navigating complex infrastructure, configuring software and dependencies across numerous…

  • OpenAI : Introducing Codex

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    Kurt Seifried
    in

    Source URL: https://openai.com/index/introducing-codex Source: OpenAI Title: Introducing Codex Feedly Summary: Introducing Codex: a cloud-based software engineering agent that can work on many tasks in parallel, powered by codex-1. With Codex, developers can simultaneously deploy multiple agents to independently handle coding tasks such as writing features, answering questions about your codebase, fixing bugs, and proposing pull…

  • Cloud Blog: Expanding our Risk Protection Program with new insurance partners and AI coverage

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/identity-security/whats-new-with-google-clouds-risk-protection-program/ Source: Cloud Blog Title: Expanding our Risk Protection Program with new insurance partners and AI coverage Feedly Summary: Today’s businesses have a vital need to manage and, when appropriate, transfer cyber risk in their cloud environments — even with robust security measures in place. At Google Cloud Next last month, we unveiled…

  • Simon Willison’s Weblog: Building software on top of Large Language Models

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/May/15/building-on-llms/#atom-everything Source: Simon Willison’s Weblog Title: Building software on top of Large Language Models Feedly Summary: I presented a three hour workshop at PyCon US yesterday titled Building software on top of Large Language Models. The goal of the workshop was to give participants everything they needed to get started writing code that…