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, ...
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 ...
We now live in the era of reasoning AI models where the large language model (LLM) gives users a rundown of its thought processes while answering queries. This gives an illusion of transparency ...
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Reasoning: A smarter way for AI to understand text and images
Engineers at the University of California San Diego have developed a new way to train artificial intelligence systems to ...
Which Two AI Models Are ‘Unfaithful’ at Least 25% of the Time About Their ‘Reasoning’? Here’s Anthropic’s Answer Your email has been sent Anthropic studied its own Claude and DeepSeek’s-R1. Neither AI ...
New figures show that if the model’s energy-intensive “chain of thought” reasoning gets added to everything, the promise of efficiency gets murky. In the week since a Chinese AI model called DeepSeek ...
The polarized reaction to Apple's paper on AI reasoning disappointed me. Increasingly, we see a division between those who defend the "intelligence" of today's LLMs/LRMs with near-religious fervor. On ...
New research paper about creating a dataset for training deep research AI agents (SAGE) provides insights into how this kind ...
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