One of the deepest ambitions in modern physics is understanding how the fabric of space and time could emerge from fundamental quantum degrees of freedom to establish a quantum theory of gravity.

Could pure AI encoding reinvent compression and make traditional codecs obsolete? Monica Heck examines what the future might look like in the encoding space ...

Cognition launched SWE-1.7 on Wednesday, the most capable model it has trained, and with it made a specific claim about reinforcement learning that the broader AI research community will be evaluating ...

AI image content moderation guardrails silently fail when platforms update content policies, new research from Fudan ...

With major new commissions at Art Basel, the Venice Art Biennale and their first Seoul solo exhibition, the British-Japanese duo A.A.Murakami reveal how technology can deepen—not diminish—our ...

H acker houses are popping up everywhere in San Francisco. “You could just walk a few blocks” in many neighborhoods, Amber Yang, an investor at Lightspeed Venture Partners, told me, and “there’ll ...

The Productive Passengers. People with a low need for cognition will tend to use AI to think less. Their great gain is that AI will make them more productive because it makes tasks so easy. Their ...

Outlining why the AI jobs apocalypse isn't happening.

There are a lot of AI coding applications out there, and as impressive as large language models and the agents they enable ...

If you start with a very specific state, for example a box full of balls that are sorted exactly by colour, then if you shake the box a little, a higher entropy mixed state will develop over time.

David Huffman's 1952 algorithm reveals a deep puzzle: the more predictable a message source, the shorter its optimal code.