Why the US and China may have to cooperate on AI safety: a view from the ground
The race is told as zero-sum. Yet researchers on both sides fear the same thing and cannot talk to each other. Here is the picture from the ground, step by step.
The race is told as zero-sum. Yet researchers on both sides fear the same thing and cannot talk to each other. Here is the picture from the ground, step by step.
A research preview aimed at letting AI agents drive robot arms and sensors without writing a bespoke driver for each one.
Robots that plug in cables and reset servers are under test. The company declined to comment, though an executive described the long-term goal last year.
The deal is not finalized but both parties are pursuing it. Nvidia would land at the center of the ecosystem trying to escape its hardware.
A federal judge called the designation unlawful retaliation. The dispute began over the company's limits on autonomous weapons and mass surveillance.
At the Beijing games, humanoid robots surpassed human world records. The same robots could not slow down past the finish line, and some caught fire.
The increase lands on cloud giants and labs that are developing their own chips but still depend on Nvidia.
Five leading labs were graded on their readiness for that scenario. Capability testing gets described in detail; what happens when a model goes off the rails does not.
A new theoretical study argues research could get worse even if the model worked perfectly. The cause is not error but opportunity cost.
Anthropic runs probably the strictest verification in the industry. A modular supply chain built on proxies cuts straight through it.
According to one analyst, February 6, 2026 may have been the last day humans consumed more tokens than agents. Agent usage has grown 14x since.
Qwen3.8-Flash-Next has 125 billion parameters but activates only 6 billion per token. It outperforms a model three times its active size.