The Algorithm's Auditor
A new IBM study reveals a deep divide where executives see AI as a validation task, while employees feel the unacknowledged weight of increased work and skill erosion.
“Research” often conjures images of white lab coats and microscopes, but in the modern era, it’s a vast and ever-evolving landscape that touches every aspect of our lives. From artificial intelligence pushing the boundaries of what machines can do, as explored in "The Robot That Can Learn Another Robot's Job", to the critical need for oversight and ethical boundaries, exemplified by questions raised in "Stanford's AI Learned to Write a Virus. Who Teaches It Restraint?", the quest for knowledge is accelerating. This collection delves into the cutting edge of discovery, examining not just the breakthroughs themselves, but also the profound implications, challenges, and responsibilities that come with pushing the frontiers of understanding, as discussed in "The Algorithm's Auditor". It’s about how we innovate responsibly, ensuring progress serves humanity.
A new IBM study reveals a deep divide where executives see AI as a validation task, while employees feel the unacknowledged weight of increased work and skill erosion.
Google DeepMind's Robo-Cat is a generalist AI that can operate many kinds of robots, raising questions about the future of specialized human labor.
Anthropic's decision to raise its catastrophic AI risk estimate reflects a critical moment of reckoning for the future of building intelligent systems.
Stanford's Evo 2 AI generated 16 entirely new viruses, forcing a critical debate on the dual-use risks of open-sourcing powerful biological AI tools.
AlphaFold creator John Jumper is leaving Google DeepMind for Anthropic — and when a Nobel laureate switches sides, it reads like a forecast of where the future is being built.