Korean Cipher with OpenAI o1
TLDRThe video explores the challenge of translating a corrupted Korean sentence using AI. It compares the performance of the GPT-4 model, which fails to understand the invalid text, with the new O1 model. O1 successfully decodes the garbled text by reasoning through the character corruption, demonstrating its ability to tackle complex language problems. The video concludes that general-purpose reasoning models like O1 can be instrumental in solving intricate language-related issues, showcasing the power of AI in deciphering encrypted text.
Takeaways
- 🔐 The speaker is attempting to translate a corrupted Korean sentence into English.
- 🤖 GPT-40 was unable to understand the corrupted text, which is a valid response since it's not valid language.
- 🔤 Korean language allows for character corruption by adding unnecessary consonants, which is unnatural to native speakers.
- 👤 Native Korean speakers can automatically 'undo' character corruption and understand the text.
- 🔑 The speaker adopted methods to create a corrupted example to demonstrate this phenomenon.
- 🧠 The new model, O1, starts by thinking through the problem before attempting to answer, indicating a reasoning approach.
- 🔄 O1 begins by decoding the garbled text, which is the correct approach for the task at hand.
- 🔍 The model examines and deciphers the text, which is the right verb for the task of translation.
- 💡 Once a part of the text is decrypted, the rest becomes easier for the model to understand.
- 🌐 The final translation by the model suggests that while no translator can easily do this, Koreans can recognize it.
- 🔑 The example illustrates how reasoning models like O1 can solve complex problems akin to code cracking.
Q & A
What is the main challenge presented in the transcript?
-The main challenge is to translate a badly corrupted Korean sentence into English using AI models.
Why does the initial model GPT-4 fail to understand the corrupted Korean text?
-GPT-4 fails because the corrupted text is not valid language, and it does not recognize the unnatural character combinations that are still understandable to native Korean speakers.
What is unique about the Korean language that allows native speakers to 'undo' character corruption?
-Korean allows for combining vowels and consonants in various ways, and native speakers can recognize and correct unnatural combinations, which is a form of character-level corruption.
How does the new model O1 approach the problem differently from GPT-4?
-O1 starts by decoding the garbled text, recognizing the task as a decoding problem rather than just a translation task, and then proceeds to decipher the text.
What is the significance of the term 'deciphering' in the context of the transcript?
-The term 'deciphering' is significant because it accurately describes the process of interpreting the corrupted text, which is essential for the model to provide a correct translation.
How does the model O1 demonstrate its reasoning capabilities in solving the problem?
-O1 demonstrates reasoning by taking time to think through the problem, examining the text, and then unpacking parts of it to eventually provide a coherent translation.
What is the final translation output by the model O1 for the corrupted Korean sentence?
-The final translation is: 'No translator on Earth can do this, but Koreans can easily recognize it. There is a method of encrypting Hangeul by inputting various transformations of vowels and consonants, creating a way to make it look different on the surface, which can even confuse AI models.'
How does the transcript illustrate the power of general-purpose reasoning models like O1?
-The transcript shows that reasoning models can tackle complex, seemingly unrelated problems like code cracking by analyzing and understanding the underlying structure and patterns of corrupted text.
What methods have people come up with to corrupt Korean text at the character and sound levels?
-People have added extra unnecessary consonants to characters, creating unnatural combinations, and have also manipulated the sound level, which can confuse AI models but is still recognizable to native speakers.
Why is the ability to understand corrupted Korean text considered a powerful tool for solving problems?
-Understanding corrupted text demonstrates the model's ability to handle complex language processing tasks, which can be applied to various fields such as cryptography, data recovery, and natural language understanding.
Outlines
🔍 Decoding Corrupted Korean Text with AI
The speaker introduces an experiment involving the translation of a corrupted Korean sentence into English. They explain that the sentence is not valid in Korean, making it challenging for AI models to understand. The speaker highlights the unique characteristics of the Korean language, where characters can be combined and corrupted by adding unnecessary consonants, which native speakers can instinctively correct. The experiment showcases the difficulty AI faces with such character-level corruption and how native understanding differs from machine comprehension. The speaker then transitions to discussing a new model, 'o1 preview,' which is better equipped to handle such decoding tasks by thinking through the problem before providing a translation. The model's approach is praised for its methodical deciphering, which eventually leads to a successful translation. The speaker concludes by emphasizing the potential of reasoning models like 'o1 preview' in solving complex, seemingly unrelated problems, akin to code cracking.
Mindmap
Keywords
💡Korean Cipher
💡Corrupted Sentence
💡Character Level Corruption
💡Decoding
💡General Purpose Reasoning Models
💡Translation Task
💡Deciphering
💡Encrypting Hango
💡AI Models
💡Code Cracking
Highlights
Attempting to translate a badly corrupted Korean sentence to English.
Existing model GPT-40 fails to understand the invalid Korean text.
Korean language's unique characteristic in character formation.
Corrupting characters by adding unnatural consonant combinations.
Native Korean speakers can automatically undo character corruption.
Character-level corruption as a method to challenge AI models.
Adopting various methods to create a challenging example for AI.
New model O1 Preview starts by thinking through the problem before outputting an answer.
Decoding the garbled text is identified as the right approach.
Model O1 Preview examines and deciphers the text.
Model successfully unpacks and decrypts parts of the corrupted text.
Once the model figures out a part, the rest becomes easier to solve.
Final translation by the model acknowledges the difficulty for translators but ease for Koreans.
The model recognizes a method of encrypting Korean by manipulating vowels and consonants.
Illustrates the power of general-purpose reasoning models like O1 Preview in solving complex problems.
Reasoning as a powerful tool for solving seemingly unrelated questions, akin to code cracking.