Comment by abstractbg
11 hours ago
Okay, I'll bite. For the record, I own Tesla stock and I am generally bullish about AI.
I'll try to provide some counter-points specifically regarding the rate of progress.
3. It's much easier to catch up in capability (ex. LLMs) than it is to achieve a new capability (ex. replace humans laborers with humanoid robots). You can hire someone from a competitor, secrets eventually leak out, the search space is narrowed etc.
4(c). To me, what's most important is whether or not truly autonomous humanoid robots happens in 3 years, 5 years, 10 years, etc. rather than in our lifetime.
These timelines will be tied to AI development timelines which largely outside the control of any one player like Tesla. I believe the world is bottlenecked on compute and that the current compute is not sufficient for physical AI.
It's extremely easy to be too early (ex. many of the self driving car companies of the past decade), and so for Tesla, there is a risk of over-investing in manufacturing robots before the core technology is ready.
Thanks, these are fair arguments!
Re: both 3 and 4(c) - agree that compute (or maybe even power for that compute) is likely to be a bottleneck in the next 3-5 years. However, I think Tesla/xAI are better positioned than many competitors as Tesla is a manufacturing company first and foremost; and this expertise (which is shared freely between Musk's companies) can help it to build it's own data centers, power generation (e.g., solar), or - in the most bullish case - even fab capacity.