
William Lau
4.1K posts




Some people blame @elonmusk for being late on Tesla @robotaxi when every other Legacy manufacturer fumbled on their transition to BEVs. There is apparently no accountability for legacy manufacturers. Ford targeted a run rate of 2,000,000 BEVs by EoY26. Their current annualized run rate is 27,440, missing the mark by over 98%.🤦🏼♂️ GM targeted a run rate above 1M by EoY25, current off by nearly 90%. Here were the documented projections (thread) form the most important legacy manufacturers:




Something big has changed at Giga Texas with Cybercab production … ~ 14 in the outbound lot WITHOUT STEERING WHEELS! Earlier this week, the production line has begun what we are all waiting for and I would expect to see many more starting on Monday, 4/20 🤠 A big step forward!





@teslaownersSV @TaiwanSemi_TSC @Samsung Optimus and our supercomputer clusters. AI4 is enough to achieve much better than human safety for FSD.


Anthropic IPO valuation: $850B Samsung valuation: $800B Anthropic revenue: $30b. Samsung revenue: $230b.


Best was working with such a great team of AI hardware & software engineers! It was more fun than going to parties on Saturdays by far. Least awesome was that we had to make several design concessions to move fast, but were able to finish tapeout 45 days ahead of schedule. AI6 with LPDDR6 memory addresses those design concessions and has many new great ideas. It will deliver a true doubling of performance over AI5 in the same half reticle size using the Samsung 2nm fab in Texas. AI6.5 will further improve performance using TSMC 2nm in Arizona. Note, both chips have ~half of the TRIP AI computation accelerators dedicated to SRAM, so effective memory bandwidth is an order of magnitude greater than DRAM bandwidth for any calculations in SRAM cache.



The #1 voted for question so far for Tesla's Q1 earnings call next week:



















