Apple’s machine-learning group set off a rhetorical firestorm earlier this month with its release of “The Illusion of Thinking,” a 53-page research paper arguing that so-called large reasoning models ...
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
This article was originally published on ARPU. View the original post here. For the past year, the AI industry has been captivated by a new frontier: reasoning models. Led by OpenAI's powerful ...
Large language models (LLMs) can learn complex reasoning tasks without relying on large datasets, according to a new study by researchers at Shanghai Jiao Tong University. Their findings show that ...
Posts from this topic will be added to your daily email digest and your homepage feed. Researchers found that o1 had a unique capacity to ‘scheme’ or ‘fake alignment.’ Researchers found that o1 had a ...
Recent advancements in artificial intelligence (AI) have propelled us closer to achieving widely available Artificial General Intelligence (AGI), a long-standing goal in the field of computer science.
Google has released what it’s calling a new “reasoning” AI model — but it’s in the experimental stages, and from our brief testing, there’s certainly room for improvement. The new model, called Gemini ...
A newly published Apple Machine Learning Research study has challenged the prevailing narrative around AI "reasoning" large-language models like OpenAI's o1 and Claude's thinking variants, revealing ...
Claude 3.7 Sonnet Thinking and DeepSeek R1 ‘overthought’ some puzzles, pursuing incorrect answers. Generative AI models with “reasoning” may not actually excel at solving certain types of problems ...
Could the way we think in our 20s offer clues about our risk of dementia decades later? Large population studies suggest that people who perform better on thinking ability tests in adolescence or ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results