Tag: Outputs

  • Tomasz Tunguz: The Surprising Input-to-Output Ratio of AI Models

    Source URL: https://www.tomtunguz.com/input-output-ratio/ Source: Tomasz Tunguz Title: The Surprising Input-to-Output Ratio of AI Models Feedly Summary: When you query an AI model, it gathers relevant information to generate an answer. For a while, I’ve wondered : how much information does the model need to answer a question? I thought the output would be larger, however…

  • The Register: Scholars sneaking phrases into papers to fool AI reviewers

    Source URL: https://www.theregister.com/2025/07/07/scholars_try_to_fool_llm_reviewers/ Source: The Register Title: Scholars sneaking phrases into papers to fool AI reviewers Feedly Summary: Using prompt injections to play a Jedi mind trick on LLMs A handful of international computer science researchers appear to be trying to influence AI reviews with a new class of prompt injection attack.… AI Summary and…

  • Slashdot: The Downside of a Digital Yes-Man

    Source URL: https://tech.slashdot.org/story/25/07/07/1923231/the-downside-of-a-digital-yes-man?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: The Downside of a Digital Yes-Man Feedly Summary: AI Summary and Description: Yes Summary: The text discusses a study by Anthropic researchers on the impact of human feedback on AI behavior, particularly how it can lead to sycophantic responses from AI systems. This is particularly relevant for professionals in…

  • Slashdot: Simple Text Additions Can Fool Advanced AI Reasoning Models, Researchers Find

    Source URL: https://tech.slashdot.org/story/25/07/04/1521245/simple-text-additions-can-fool-advanced-ai-reasoning-models-researchers-find Source: Slashdot Title: Simple Text Additions Can Fool Advanced AI Reasoning Models, Researchers Find Feedly Summary: AI Summary and Description: Yes Summary: The research highlights a significant vulnerability in state-of-the-art reasoning AI models through the “CatAttack” technique, which attaches irrelevant phrases to math problems, leading to higher error rates and inefficient responses.…

  • The Register: AI models just don’t understand what they’re talking about

    Source URL: https://www.theregister.com/2025/07/03/ai_models_potemkin_understanding/ Source: The Register Title: AI models just don’t understand what they’re talking about Feedly Summary: Researchers find models’ success at tests hides illusion of understanding Researchers from MIT, Harvard, and the University of Chicago have proposed the term “potemkin understanding" to describe a newly identified failure mode in large language models that…

  • Slashdot: ChatGPT Creates Phisher’s Paradise By Recommending the Wrong URLs for Major Companies

    Source URL: https://it.slashdot.org/story/25/07/03/1912216/chatgpt-creates-phishers-paradise-by-recommending-the-wrong-urls-for-major-companies?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: ChatGPT Creates Phisher’s Paradise By Recommending the Wrong URLs for Major Companies Feedly Summary: AI Summary and Description: Yes Summary: The report highlights a flaw in the accuracy of AI-powered chatbots like GPT-4.1, which could create vulnerabilities for users and pose a security risk due to misinformation. This inaccuracy…

  • Cloud Blog: How to build a simple multi-agentic system using Google’s ADK

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/build-multi-agentic-systems-using-google-adk/ Source: Cloud Blog Title: How to build a simple multi-agentic system using Google’s ADK Feedly Summary: Agents are top of mind for enterprises, but often we find customers building one “super” agent – a jack of all trades – instead creating multiple agents that can specialize and work together. Monolithic agents often…