Ultraviolet Metalenses Mass Produced. Will Enable Future AI Chips

Extreme Ultraviolet lithography for computer chips have been critical to letting us efficiently get better than 14 nanometer computer chips. Metalenses are 10,000 times thinner than regular lenses. Metalenses control light properties through nanometer-scale patterns or structures on lens surfaces. With the ability to reduce the thickness of conventional lenses by a factor of 10,000, …

Read more

AI Can Now Forget Copyrighted and Other Material

Researchers at The University of Texas at Austin have developed what they believe is the first machine unlearning method applied to image-based generative AI. This method offers the ability to look under the hood and actively block and remove any violent images or copyrighted works without losing the rest of the information in the model. …

Read more

Tesla Not Compute Limited for FSD AI Means 100+ Exaflops and 1+ Exabyte of Cache Memory

Tesla indicated in August, 2023 they were activating 10,000 Nvidia H100 cluster and over 200 Petabytes of hot cache (NVMe) storage. This memory is used to train the FSD AI on the massive amount of video driving data. Elon Musk posted yesterday that Tesla FSD training is no longer compute constrained. Tesla has likely activated …

Read more

Tesla Is No Longer Training Compute Constrained So AI Will Accelerate

Get ready for major progress. Tesla FSD and Teslabot will accelerate. Tesla is no long AI compute constrained. Now we will see what unrestricted progress looks like. Yeah, 99% of people have no idea. And improvement will accelerate dramatically now that we are no longer AI training compute constrained. — Elon Musk (@elonmusk) March 22, …

Read more