Why there is no "superintelligence" (and what chess has to do with it)

Der StandardIndependentCenteryesterday

The article discusses the myth of artificial superintelligence, using chess as a historical example of early AI research. It highlights how, despite decades of investment, true artificial general intelligence (AGI) has not been achieved. The author references the 1997 match between world chess champion Garry Kasparov and IBM's Deep Blue computer, which marked a significant milestone in AI development. While Deep Blue defeated Kasparov in a six-game match, the outcome was close, and Kasparov did not agree to a rematch. The piece argues that current AI systems, while advanced, still lack the broad cognitive abilities of humans and that the promise of 'superintelligence' remains unfulfilled.

Bias read (Center): The article presents a balanced discussion of AI development and its limitations, referencing both historical achievements (like Deep Blue's victory over Kasparov) and ongoing challenges in creating truly intelligent machines. There is no overt ideological slant toward either technological optimism,

Die PresseParty-aligned🔒Centeryesterday

The article discusses why artificial intelligence (AI), specifically the chess program Stockfish, outperforms human players like world champion Magnus Carlsen. According to research by Vito D. P. Servedio from the Complexity Science Hub in Vienna, AI handles complexity differently during gameplay. While top human players build up tension early in the game and then reduce it by capturing opponent pieces, AI maintains higher tension levels for longer periods. This strategy appears more effective in chess, though a direct causal relationship has yet to be proven. The findings will be published in the journal APS Open Science.

Bias read (Center): The article focuses on scientific research regarding AI performance in chess and does not present any political opinions, biases, or controversial viewpoints. It remains neutral in tone and provides factual information based on academic analysis.