[ENG] 팔란티어 AIP와 chatGPT 그리고 테슬라

Summary

The transcript discusses the evolving role of language in AI, highlighting the distinction between knowledge and language. It uses examples to illustrate how language, being imperfect and subjective, contrasts with mathematical precision. The speaker then explores the implications of AI's ability to interact with external programs, suggesting a future where AI like GPT could revolutionize how we communicate with technology. The narrative also touches on the potential for AI to transform enterprise operations, drawing parallels between integrated OS in cars and the need for a unified mathematical language in businesses to maximize AI's capabilities.

Takeaways

• 😎 The CTO of Palantir left a profound tweet suggesting that companies will be divided into those that understand the concept 'language is not knowledge' and those that do not.
• 🌐 Language is imperfect and subjective, as illustrated by the example of asking for the distance between Seoul and Busan, which can vary depending on the starting and ending points.
• 🤖 AI like GPT uses statistical probabilities to generate language, which can lead to nonsensical answers when faced with mathematical or precise questions.
• 🚀 Recent upgrades to AI have allowed it to interface with external programs to provide more accurate responses to mathematical and technical queries.
• 🔌 The introduction of GPT plugins signifies a shift where AI can interact with and utilize various software programs, potentially automating tasks that were previously done by humans.
• 🏢 The script suggests that while AI might replace human roles in certain tasks, the complexity and nuances of human language within collectives make it difficult for AI to fully integrate into all aspects of a company.
• 🤝 The success of AI integration in a company depends on the company's ability to unify its operations and data into a 'mathematical language' that AI can interact with effectively.
• 🚗 The example of Tesla versus legacy car manufacturers highlights the difference between individual components operating in their own 'languages' versus a unified OS that allows for integrated decision-making.
• 🧠 Palantir's approach, termed 'Ontology,' involves restructuring a company's data into a unified language that can be effectively utilized by AI, much like a company-wide OS.
• 💡 The script implies that the future of AI and company operations may lie in the seamless integration of AI with companies that have already transitioned to a 'mathematical language' structure.

Q & A

What did the CTO of Palantir tweet on April 1st?

The CTO of Palantir tweeted that language is not knowledge and predicted that companies in the future would be divided into those that understand this and those that do not.

Why does the script argue that language is not mathematically perfect?

The script argues that language is not mathematically perfect because it lacks precise definitions and can be subjective, as illustrated by the example of the distance from Seoul to Busan, which can vary depending on the starting and ending points and the mode of travel.

What is the significance of the statement 'Language is not knowledge' in the context of the script?

The statement 'Language is not knowledge' signifies that language is an imperfect tool for conveying information, as it is often subjective and lacks the precision of mathematical language, which is crucial for accurate communication and understanding in the context of AI and data analysis.

How does the script use the example of the distance between Seoul and Busan to illustrate the imperfections of language?

The script uses the example to show that without a clear definition of the starting and ending points, and the mode of travel, the information provided by language can be misleading and imprecise, thus not mathematically perfect.

What is the role of GPT in the context of language generation as described in the script?

GPT is described as an AI that generates language through a statistical probability approach, selecting the most commonly used expressions based on statistical data rather than mathematical understanding.

Why might GPT provide incorrect answers to mathematical questions according to the script?

GPT might provide incorrect answers to mathematical questions because it relies on statistical probability and language patterns rather than mathematical understanding, leading to incorrect or fabricated responses when faced with uncommon mathematical expressions.

How has GPT been upgraded to handle mathematical questions more accurately?

GPT has been upgraded to handle mathematical questions by using external programs to read and provide results, rather than relying solely on its internal language generation capabilities.

What is the significance of GPT plugins in the context of the script?

GPT plugins are significant because they allow GPT to interact with and utilize external programs, enabling it to perform tasks such as making recommendations and placing orders on shopping apps, thus bridging the gap between human language and computer functionality.

How does the script suggest that the use of GPT could change the way companies operate?

The script suggests that the use of GPT could lead to companies prioritizing AI over human intelligence for productivity, potentially leading to a situation where AI, rather than humans, becomes the primary workforce in various enterprises.

What is the concept of 'Ontology' as mentioned in the script in relation to Palantir?

In the script, 'Ontology' refers to the process of reconfiguring all the data of a company into a single, integrated language or system, similar to an operating system, which allows for a more unified and efficient operation of the company.

How does the script compare Tesla and legacy car manufacturers in terms of integration and AI potential?

The script compares Tesla and legacy car manufacturers by highlighting that Tesla, with its integrated OS, can make unified decisions and integrate AI to perform tasks like self-driving, while legacy car manufacturers, lacking such integration, cannot achieve the same level of coordinated functionality.