4/17/2024 0 Comments Home designer suite 2018 reviews![]() “As computers get better, humans need to adjust to this and know more, get more experience about whether that works, where it doesn’t work, where we can trust it, or we can’t trust it,” Wolfram says. We need to have a better understanding of how the technology works so we can approach problems in a way that computers can solve. In order for us to reap the benefits of AI, humans need to adapt too, he says. ( We’re hosting another edition in London in April! Join us? I’ll be there!)īut there’s a catch. I caught up with him last week in Athens at EmTech Europe. The company is behind WolframAlpha, an answer engine that can handle complex math questions. Work like this can help us use computers to reach better decisions and be more logical, says Conrad Wolfram of Wolfram Research. This could allow us to build more powerful AI tools that could be used to help mathematicians solve equations and perhaps come up with better tutoring tools. Innovations like AlphaGeometry show that we are edging closer to machines with more human-like reasoning skills. Complex math, such as geometry, requires sophisticated reasoning skills, and many AI researchers believe that the ability to crack it could herald more powerful and intelligent systems. Math is really, really hard for AI models. You don’t need to be really into math to see why this stuff is potentially very exciting. (The company has not commented on Q*, and we still don’t know if there was any link to the Altman ouster or not.) I unpacked the drama and hype in this story. It was reported that the AI system in question was called Q* and could solve complex math calculations. The rumor mill went into overdrive last November, when there were reports that the boardroom drama at OpenAI, which saw CEO Sam Altman temporarily ousted, was caused by a new powerful AI breakthrough. This is the second time in recent months that the AI world has got all excited about math. You can read more about AlphaGeometry here. Named AlphaGeometry, the system combines a language model with a type of AI called a symbolic engine, which uses symbols and logical rules to make deductions, writes my colleague June Kim. Last week the AI world was buzzing over a new paper in Nature from Google DeepMind, in which the lab managed to create an AI system that can solve complex geometry problems.
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