The story that Grok will help solve the Tesla FSD Edge case by explaining it in

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
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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).
하지만 Tesla는 이보다 훨씬 더 확장할 수 있는 독보적인 데이터 플라이휠을 돌리고 있습니다. Tesla FSD v13 will likely be grokking language tokens. What excites me the most about Grok-1.5V is the potential to solve edge cases in self-driving. Using language for "chain of thought" will help the car break down a complex scenario, reason with rules and counterfactuals, and explain its decisions. What Grok-1.5V can help is to lift pixel->action mapping to pixel->language->action instead.

With @Tesla_AI's highly mature data pipeline, it is not hard to label tons of edge cases with high-quality human explanation traces, and finetune Grok to be far better than GPT-4V and Gemini for multimodal FSD reasoning.

There were previous efforts on similar ideas, such as LINGO-1 (Wayve). But Tesla is spinning an unparalleled data flywheel that could scale far beyond. 금리인하 2차례 정도~

John Williams, New York Fed President (neutral, ex officio)

Kim Sung-soo from Hanwha

1. Strong retail sales attributed to solid economic fundamentals

2. Supply-side tailwinds are getting stronger.
The economy is expected to maintain solid growth in the future.
The potential growth rate is also positive

3. In your opinion, price indicators are showing a trend
It's not enough to change
(I don't see the recent inflation data as a turning point)

4. The market is reflecting a slow pace of inflation

5. This CPI Data Will Significantly Impact Forecast

6. Monetary policy is at an appropriate level.
Modern monetary policy is tight

7. Personally, the benchmark interest rate has been cut more than twice within this year
(rate cut's' will like start this year)