In a new paper from OpenAI, the company proposes a framework for analyzing AI systems' chain-of-thought reasoning to understand how, when, and why they misbehave.
Everyone knows that AI still makes mistakes. But a more pernicious problem may be flaws in how it reaches conclusions. As generative AI is increasingly used as an assistant rather than just a tool, ...
Tech Xplore on MSN
AI agents debate their way to improved mathematical reasoning
Large language models (LLMs), artificial intelligence (AI) systems that can process and generate texts in various languages, ...
Investing.com-- Apple Inc over the weekend released a research paper claiming that artificial intelligence models geared towards reasoning had limited capabilities and failed to generate accurate ...
Apple’s recent AI research paper, “The Illusion of Thinking”, has been making waves for its blunt conclusion: even the most advanced Large Reasoning Models (LRMs) collapse on complex tasks. But not ...
Press Trust of India on MSN
SHIVIK LABS: TRIDENT, A Step Toward Self-Improving AI Systems Built on Reasoning
Shivik Labs, an emerging leader in foundational AI research, announced the release of its latest research paper introducing TRIDENT (Thought-based Reasoning and Improvement through Deep Exploration of ...
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