Tag: Decision-making Processes
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Slashdot: OpenAI Makes Surprise Livestream Today for ‘Deep Research’ Announcement
Source URL: https://slashdot.org/story/25/02/02/2342245/openai-makes-surprise-livestream-today-for-deep-research-announcement?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: OpenAI Makes Surprise Livestream Today for ‘Deep Research’ Announcement Feedly Summary: AI Summary and Description: Yes Summary: OpenAI’s recent announcement regarding “Deep Research” in Tokyo hints at significant advancements in AI reasoning capabilities through a project code-named “Strawberry.” This initiative aims to enhance AI’s ability to navigate the internet…
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Hacker News: Large Language Models Think Too Fast to Explore Effectively
Source URL: https://arxiv.org/abs/2501.18009 Source: Hacker News Title: Large Language Models Think Too Fast to Explore Effectively Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper titled “Large Language Models Think Too Fast To Explore Effectively” investigates the exploratory capabilities of Large Language Models (LLMs). It highlights that while LLMs excel in many domains,…
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New York Times – Artificial Intelligence : Vatican Warns About the Risks of Artificial Intelligence
Source URL: https://www.nytimes.com/2025/01/28/world/europe/vatican-artificial-intelligence-warning.html Source: New York Times – Artificial Intelligence Title: Vatican Warns About the Risks of Artificial Intelligence Feedly Summary: A new document examines the opportunities and risks of A.I. and calls for “moral and ethical considerations” to be enshrined in all of its applications. AI Summary and Description: Yes Summary: The document discusses…
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OpenAI : Introducing ChatGPT Gov
Source URL: https://openai.com/global-affairs/introducing-chatgpt-gov Source: OpenAI Title: Introducing ChatGPT Gov Feedly Summary: ChatGPT Gov is designed to streamline government agencies’ access to OpenAI’s frontier models. AI Summary and Description: Yes Summary: The text discusses ChatGPT Gov, which is tailored for government agencies to facilitate their access to OpenAI’s advanced AI models. This is particularly relevant in…
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Simon Willison’s Weblog: Quoting Jack Clark
Source URL: https://simonwillison.net/2025/Jan/28/jack-clark-r1/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Jack Clark Feedly Summary: The most surprising part of DeepSeek-R1 is that it only takes ~800k samples of ‘good’ RL reasoning to convert other models into RL-reasoners. Now that DeepSeek-R1 is available people will be able to refine samples out of it to convert any other…
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Hacker News: Larry Ellison: vast AI surveillance can ensure citizens are on best behavior
Source URL: https://www.businessinsider.com/larry-ellison-ai-surveillance-keep-citizens-on-their-best-behavior-2024-9 Source: Hacker News Title: Larry Ellison: vast AI surveillance can ensure citizens are on best behavior Feedly Summary: Comments AI Summary and Description: Yes Summary: Larry Ellison, co-founder of Oracle, discusses the potential of AI in creating a pervasive surveillance system to monitor citizens, enhancing law enforcement efficiency. His comments highlight the…
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Cloud Blog: Introducing agent evaluation in Vertex AI Gen AI evaluation service
Source URL: https://cloud.google.com/blog/products/ai-machine-learning/introducing-agent-evaluation-in-vertex-ai-gen-ai-evaluation-service/ Source: Cloud Blog Title: Introducing agent evaluation in Vertex AI Gen AI evaluation service Feedly Summary: Comprehensive agent evaluation is essential for building the next generation of reliable AI. It’s not enough to simply check the outputs; we need to understand the “why" behind an agent’s actions – its reasoning, decision-making process,…
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Hacker News: Coping with dumb LLMs using classic ML
Source URL: https://softwaredoug.com/blog/2025/01/21/llm-judge-decision-tree Source: Hacker News Title: Coping with dumb LLMs using classic ML Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides an innovative approach to utilizing local LLMs (large language models) to assess product relevance for e-commerce search queries. By collecting data on LLM decisions and comparing them against human…
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Schneier on Security: AI Mistakes Are Very Different from Human Mistakes
Source URL: https://www.schneier.com/blog/archives/2025/01/ai-mistakes-are-very-different-from-human-mistakes.html Source: Schneier on Security Title: AI Mistakes Are Very Different from Human Mistakes Feedly Summary: Humans make mistakes all the time. All of us do, every day, in tasks both new and routine. Some of our mistakes are minor and some are catastrophic. Mistakes can break trust with our friends, lose the…