The world’s best artificial intelligence (AI) systems can pass tough exams, write convincingly human essays and chat so fluently that many find their output indistinguishable from people’s. What can’t they do? Solve simple visual logic puzzles.

In a test consisting of a series of brightly coloured blocks arranged on a screen, most people can spot the connecting patterns. But GPT-4, the most advanced version of the AI system behind the chatbot ChatGPT and the search engine Bing, gets barely one-third of the puzzles right in one category of patterns and as little as 3% correct in another, according to a report by researchers this May¹.

The team behind the logic puzzles aims to provide a better benchmark for testing the capabilities of AI systems — and to help address a conundrum about large language models (LLMs) such as GPT-4. Tested in one way, they breeze through what once were considered landmark feats of machine intelligence. Tested another way, they seem less impressive, exhibiting glaring blind spots and an inability to reason about abstract concepts.

Taiwan Semiconductor Manufacturing Company plans to invest nearly $90 billion New Taiwan dollars (about $2.87 billion) in an advanced chip packaging plant in Taiwan, the company told CNBC on Tuesday.

It comes as global chipmakers seek to capitalize on the artificial intelligence boom. TSMC acknowledged last week that there is a strong demand for AI chips.

An artificial intelligence trained on TikTok videos could help you take part in dance trends without moving a muscle.

By Matthew Sparkes

Id like to see gemini and minerva both merged into Bard, but is google so they ll screw it up no matter what they do.

Sergey Brin has become increasingly involved in Google’s AI efforts, particularly its work on AI model Gemini, as it aims to keep pace with rivals.

While the introduction of AI technologies promises to amplify the advantages of Kubernetes, these technologies are still a double-edged sword.