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Tag: business implications

  • Simon Willison’s Weblog: Quoting Ethan Mollick

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Aug/9/ethan-mollick/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Ethan Mollick Feedly Summary: The issue with GPT-5 in a nutshell is that unless you pay for model switching & know to use GPT-5 Thinking or Pro, when you ask “GPT-5” you sometimes get the best available AI & sometimes get one of the worst AIs…

  • New York Times – Artificial Intelligence : OpenAI Raises Another Funding Deal, From Dragoneer, Blackstone and More

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    Kurt Seifried
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    Source URL: https://www.nytimes.com/2025/08/01/business/dealbook/openai-ai-mega-funding-deal.html Source: New York Times – Artificial Intelligence Title: OpenAI Raises Another Funding Deal, From Dragoneer, Blackstone and More Feedly Summary: The venture capital round values the ChatGPT maker at $300 billion, and underscores the fierceness of the A.I. money race. AI Summary and Description: Yes Summary: The text highlights a significant financial…

  • CSA: ESXi Ransomware: Protect Virtual Infrastructure

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    Kurt Seifried
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    Source URL: https://cloudsecurityalliance.org/articles/esxi-ransomware-the-growing-threat-to-virtualized-environments Source: CSA Title: ESXi Ransomware: Protect Virtual Infrastructure Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the emerging trend of ransomware attacks specifically targeting ESXi hypervisor environments, underscoring the urgent need for specialized security measures to protect virtual infrastructures. It outlines the evolution of ransomware tactics, the anatomy of…

  • Simon Willison’s Weblog: Quoting Andriy Burkov

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Apr/6/andriy-burkov/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Andriy Burkov Feedly Summary: […] The disappointing releases of both GPT-4.5 and Llama 4 have shown that if you don’t train a model to reason with reinforcement learning, increasing its size no longer provides benefits. Reinforcement learning is limited only to domains where a reward can…

  • Wired: Databricks Has a Trick That Lets AI Models Improve Themselves

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    Kurt Seifried
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    Source URL: https://www.wired.com/story/databricks-has-a-trick-that-lets-ai-models-improve-themselves/ Source: Wired Title: Databricks Has a Trick That Lets AI Models Improve Themselves Feedly Summary: Using several recent innovations, the company Databricks will let customers boost the IQ of their AI models even if they don’t have squeaky clean data. AI Summary and Description: Yes Summary: The text discusses Databricks’ recent innovations…