Demis Hassabis says AI's next leap to AGI will require fixing a key flaw: consistency.

Demis Hassabis, Google Deepmind CEO, notes AI models like Gemini paradoxically struggle with basic math despite acing ...

Google DeepMind CEO Demis Hassabis highlights AI inconsistency as a major hurdle to achieving Artificial General Intelligence ...

Google DeepMind Staff AI Developer Relations Engineer Omar Sanseviero said in a post on X that Gemma 3 270M is open-source ...

At Meta, a chaotic culture and lack of vision have led to brain drain, with rivals saying its AI talent is lackluster. But ...

Weather Lab is Google DeepMind's new, experimental AI-based model for forecasting cyclones. NOAA is working with Google to ...

While an Anthropic spokesperson confirmed that the AI firm did not acquire Humanloop or its IP, that’s a moot point in an ...

The bird has never gotten much credit for being intelligent. But the reinforcement learning powering the world’s most advanced AI systems is far more pigeon than human.

Researchers have found that 80% of Anthropic employees hired between 2021 and early 2023 were still at the AI company two ...

For enterprise teams and commercial developers, this means the model can be embedded in products or fine-tuned.

Google DeepMind CEO Demis Hassabis says companies are far from achieving AGI, as even their advanced models, such as Google’s Gemini, can make basic mistakes despite excelling in complex tasks.