Tag: Valuation
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Slashdot: Mathematicians Find GPT-5 Makes Critical Errors in Original Proof Generation
Source URL: https://science.slashdot.org/story/25/09/08/165206/mathematicians-find-gpt-5-makes-critical-errors-in-original-proof-generation?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Mathematicians Find GPT-5 Makes Critical Errors in Original Proof Generation Feedly Summary: AI Summary and Description: Yes Summary: The text discusses a study by University of Luxembourg mathematicians that evaluated the capabilities of GPT-5 in extending a qualitative mathematical theorem. The findings revealed significant shortcomings of the AI, particularly…
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Wired: Psychological Tricks Can Get AI to Break the Rules
Source URL: https://arstechnica.com/science/2025/09/these-psychological-tricks-can-get-llms-to-respond-to-forbidden-prompts/ Source: Wired Title: Psychological Tricks Can Get AI to Break the Rules Feedly Summary: Researchers convinced large language model chatbots to comply with “forbidden” requests using a variety of conversational tactics. AI Summary and Description: Yes Summary: The text discusses researchers’ exploration of conversational tactics used to manipulate large language model (LLM)…
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OpenAI : Why language models hallucinate
Source URL: https://openai.com/index/why-language-models-hallucinate Source: OpenAI Title: Why language models hallucinate Feedly Summary: OpenAI’s new research explains why language models hallucinate. The findings show how improved evaluations can enhance AI reliability, honesty, and safety. AI Summary and Description: Yes Summary: The text discusses OpenAI’s research on the phenomenon of hallucination in language models, offering insights into…
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Docker: Docker Acquisition of MCP Defender Helps Meet Challenges of Securing the Agentic Future
Source URL: https://www.docker.com/blog/docker-acquires-mcp-defender-ai-agent-security/ Source: Docker Title: Docker Acquisition of MCP Defender Helps Meet Challenges of Securing the Agentic Future Feedly Summary: Docker, Inc.®, a provider of cloud-native and AI-native development tools, infrastructure, and services, today announced the acquisition of MCP Defender, a company founded to secure AI applications. The rapid evolution of AI-from simple generative…
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Scott Logic: Technology Carbon Standard Update – 4th September 2025
Source URL: https://blog.scottlogic.com/2025/09/04/technology-carbon-standard-update-4-sept.html Source: Scott Logic Title: Technology Carbon Standard Update – 4th September 2025 Feedly Summary: The Scott Logic sustainability team has recently been updating the open-source Technology Carbon Standard website to better reflect evolving challenges of carbon accounting in the tech sector. AI Summary and Description: Yes Summary: The text discusses updates to…
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The Register: UK government trial of M365 Copilot finds no clear productivity boost
Source URL: https://www.theregister.com/2025/09/04/m365_copilot_uk_government/ Source: The Register Title: UK government trial of M365 Copilot finds no clear productivity boost Feedly Summary: AI tech shows promise writing emails or summarizing meetings. Don’t bother with anything more complex A UK government department’s three-month trial of Microsoft’s M365 Copilot has revealed no discernible gain in productivity – speeding up…
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The Register: Biased bots: AI hiring managers shortlist candidates with AI resumes
Source URL: https://www.theregister.com/2025/09/03/ai_hiring_biased/ Source: The Register Title: Biased bots: AI hiring managers shortlist candidates with AI resumes Feedly Summary: When AI runs recruiting, the winning move is using the same bot Job seekers who use the same AI model to compose their resumes as the AI model used to evaluate their application are more likely…
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Docker: You are Doing MCP Wrong: 3 Big Misconceptions
Source URL: https://www.docker.com/blog/mcp-misconceptions-tools-agents-not-api/ Source: Docker Title: You are Doing MCP Wrong: 3 Big Misconceptions Feedly Summary: MCP is not an API. Tools are not agents. MCP is more than tools. Here’s what this means in practice. Most developers misread the Model Context Protocol because they map it onto familiar API mental models. That mistake breaks…