The race to develop artificial general intelligence (AGI) still has a long way to run, according to Apple researchers who found that leading AI models still have trouble reasoning.

Google’s AI models are learning to reason, wield agency, and build virtual models of the real world. The company’s AI lead, Demis Hassabis, says all this—and more—will be needed for true AGI.

Artificial general intelligence represents the pinnacle of AI development, promising capabilities that rival human intellect. While AGI can simulate aspects of human thinking, achieving true human ...

The arrival of AGI feels different, and potentially frightening, especially if it is imminent. AI 2027 describes one scenario that, due to misalignment with human values, superintelligent AI ...

TL;DR Key Takeaways : Google warns of the urgent need to prepare for Artificial General Intelligence (AGI), emphasizing its fantastic potential and associated risks. AGI is expected to surpass ...

Hello and welcome to Eye on AI. In this edition…AGI timelines are getting shorter but so is the amount of attention AI labs seem to be paying to AI safety…Venture capital enthusiasm for OpenAI ...

Artificial intelligence (AI) may soon have a mind of its own, and many companies want to make that happen as soon as possible. Whether this is plausible remains to be seen; however, if achieved ...

The first possible issue, misuse, is fundamentally similar to current AI risks. However, because AGI will be more powerful by definition, the damage it could do is much greater.

Comprehensive as it may be, DeepMind’s paper seems unlikely to settle the debates over just how realistic AGI is — and the areas of AI safety in most urgent need of attention.

The ARC-AGI-2 benchmark is comprised of a series of puzzles for AI to solve. After giving the test to 400+ humans, the ARC Prize Foundation established a human baseline for its tests.