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Richard Dawkins and chatbots | LLM meaning | Flattery battery | Dancing in PE | Maths breakthroughThe otherwise admirable Richard Dawkins should adjust the local settings of the chatbot or tell it to be less obsequious (Richard Dawkins concludes AI is conscious, even if it doesn’t know it, 6 May). Such bots are initially geared […]
No flattery please, Claude: I’m British | Brief letters Read More »
Every year, the countries competing in the International Mathematical Olympiad (IMO) arrive with a booklet of their best, most original problems. Those booklets get shared among delegations, then quietly disappear. No one had ever collected them systematically, cleaned them, and made them available, not for AI researchers testing the limits of mathematical reasoning, and not
A.I. has always been compared to human intelligence, but that may not be the right way to think about it. What it does well can help predict what jobs it may replace.
What Is ‘Jagged Intelligence’ and How Can It Reframe the AI Debate? Read More »
Saturday quiz | Avoiding AI | Size matters It was lovely to read Sabrina Olson’s letter (6 March) on the quiz as it has been a family ritual for us for years. It kept us all connected through our children’s time at university, then moving into their own homes, and in some cases working abroad.
The quiz that keeps families connected | Brief letters Read More »
Valued at $1.6 billion, a tiny start-up called Axiom is building A.I. systems that can check for mistakes.
A.I. Writes Buggy Code. A Silicon Valley Start-Up Wants to Fix It. Read More »
Valued at $1.6 billion, a tiny start-up called Axiom is building A.I. systems that can check for mistakes.
A.I. Writes Buggy Code. A Silicon Valley Start-Up Wants to Fix It. Read More »
Curiosity-driven research has long sparked technological transformations. A century ago, curiosity about atoms led to quantum mechanics, and eventually the transistor at the heart of modern computing. Conversely, the steam engine was a practical breakthrough, but it took fundamental research in thermodynamics to fully harness its power. Today, artificial intelligence and science find themselves at a
3 Questions: On the future of AI and the mathematical and physical sciences Read More »
By now, ChatGPT, Claude, and other large language models have accumulated so much human knowledge that they’re far from simple answer-generators; they can also express abstract concepts, such as certain tones, personalities, biases, and moods. However, it’s not obvious exactly how these models represent abstract concepts to begin with from the knowledge they contain.Now a
A firm that wants to use a large language model (LLM) to summarize sales reports or triage customer inquiries can choose between hundreds of unique LLMs with dozens of model variations, each with slightly different performance.To narrow down the choice, companies often rely on LLM ranking platforms, which gather user feedback on model interactions to
Study: Platforms that rank the latest LLMs can be unreliable Read More »
Large language models struggle to solve research-level math questions. It takes a human to measure just how poorly they perform.
