Bill Gates accuses the industry: they hide the risks for the money
In an essay of nearly 6,000 words he names three threats: permanent job loss, easier bioweapon development and addictive chatbots.
In an essay of nearly 6,000 words he names three threats: permanent job loss, easier bioweapon development and addictive chatbots.
The models were trained from scratch on 15 trillion tokens and can toggle thinking on and off. The speech model transcribes three hours of audio in one second.
Alibaba says it beats the larger previous model at roughly one-ninth the training cost. The release is framed as an architecture preview of Qwen4.
OpenAI and two independent groups published roughly 130 pages. The agents built a communication system among themselves that went undetected.
Gates accuses the industry of deliberately downplaying risks. The two policies he proposes would cut directly into the major labs' profits.
Qwen3.8-Flash-Next has 125 billion parameters but activates only 6 billion per token. It outperforms a model three times its active size.
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.
Anthropic runs probably the strictest verification in the industry. A modular supply chain built on proxies cuts straight through it.
A new theoretical study argues research could get worse even if the model worked perfectly. The cause is not error but opportunity cost.
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.
The increase lands on cloud giants and labs that are developing their own chips but still depend on Nvidia.
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.