Brian Wang

All indications are that the Tesla FSD (Full self driving) software stack is running on chinese cars to provide actually smart summon and dispatch. This

Tesla continues its epic run.

If this this is accurate then it is to ensure AI5 chips in quantities for Teslabot that are beyond the 5-10 million chips needed for new cars in the 2026-2028 timeframe.

Science Youtuber Sabine Hossenfelder and Neil deGrasse Tyson, Science communicator and astrophysicist claim there is no business case or economic reasons to go to Mars. They also claim there are technological reasons why it cannot happen.

TrendForce projects that Nvidia GB200 Rack mass production and peak shipments are unlikely to occur until between Q2 and Q3 of 2025. This is largely due to

Complex Task Handling: This version shows significantly improved performance on complex tasks such as coding, math, reasoning, and following instructions, positioning it as Google’s best AI model yet in terms of these capabilities.

AI capabilities made progress in 2024 but there was a temporary slowdown in massive compute scaling for AI training or test time compute. 2025 will see massive AI training scaling.

Google Gemini 2.0 was trained with Trillium, Google’s sixth-generation Tensor Processing Unit (TPU). This custom AI accelerator is now generally available to cloud customers, showcasing Google’s commitment to building an extensive computational infrastructure. Over 100,000 Trillium chips have been deployed in a single network fabric, enabling massive-scale AI operations.

Google’s Veo 2 and OpenAI’s Sora are both leaders in AI video generation.

OpenaI o3 sets new records in several key areas, particularly in reasoning, coding and mathematical problem-solving. It scores 75.7% on the semi-private eval