테슬라가 조정받기 시작했네요
생각보다 그동안 오래 잘 버텨온듯...?
이제는 어느정도 위험대응을.해야하는.시기같습니다
물론 미래에는 전기차시장이 대세가 되긴하겠지만
지금당장은 경기침체가 전 세계적으로 나타나는 상황이라 별개의 대응이 필요한 시점이네요
미국주식 빅테크 메가테크 종목들이 점점 위기상황을
만나게될듯하고
이 부분을 어떻게 대처하느냐에 따라서
주가 방향성이 완전 달라질겁니다
The story that Grok will help solve the Tesla FSD Edge case by explaining it in language
As AI develops into a multimodal form, not just a language, it seems that humans can resemble various senses (tactile sensation, hearing sensation, etc.)
AI is really... It's like a process of making humans in a way...
Elon Answered As Below In The Next Comment
Two data sources scale infinitely: synthetic data with the problem of "Is it true?" and real-world videos without.
This is Elon's comment on the content below.. I don't understand exactly if it's connecting
Does anyone understand??
$TSLA
_____________________________
Tesla FSD v13 is likely to empathize with language tokens.
What's most interesting about the Grok-1.5V is its potential to solve the edge case of autonomous driving. Using language for "chain of thought" will help cars analyze complex scenarios, infer them to facts contrary to rules, and explain decisions.
Grok-1.5V can help convert pixel->action mapping to pixel->language->action.
With Tesla_AI's highly mature data pipeline, it is not difficult to label numerous edge cases with high-quality human description traces, and we can fine-tune Grok to do much better than GPT-4V and Gemini for multimodal FSD inference.
Previously, efforts have been made on similar ideas, such as LINGO-1 (Wayve).
But Tesla has a unique data flywheel that can scale even more.
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