Researchers from NVIDIA and Flower Labs have developed a method for recursive self-improving AI agents that allows them to enhance their own code without reaching an evaluation ceiling. This advancement addresses a significant challenge in the development of self-improving AI.

Nvidia no longer supports NVLink on consumer GPUs, with the last supported model being the RTX 3090. NVLink bridges currently range in price from $200 to $400, and tests are being conducted to evaluate the benefits of NVLink for AI workloads using dual RTX 3090s.

Decommissioned NVIDIA enterprise GPUs, such as the K80, P100, and V100, are available at prices ranging from $60 to under $200. A project has been initiated to benchmark these Tesla GPUs to assess their usability in modern applications.

The RTX 5090 delivers 104.8 TFLOPS of FP32 compute and only 1.64 TFLOPS of FP64 compute, resulting in a 64:1 FP64 to FP32 ratio. Over the past fifteen years, this ratio has widened on consumer GPUs, reflecting a growing divide between consumer and enterprise silicon, which is now being challenged by advancements in AI.