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Wow, I asked Bard to summarize the NYT article and it completely changed the outcome: > Sure. The article is about a man named Roberto Mata who sued Avianca Ai

by dunham 3y ago

Wow, I asked Bard to summarize the NYT article and it completely changed the outcome: > Sure. The article is about a man named Roberto Mata who sued Avianca Airlines after he was injured when a metal serving cart struck his knee during a flight to Kennedy International Airport in New York. His lawyer used a new language model called ChatGPT to help him with the case. ChatGPT is a large language model that can generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way. It was trained on a massive dataset of text and code, and it can be used for a variety of tasks, including writing legal documents. In Mr. Mata's case, ChatGPT helped him to draft a lawsuit that was more persuasive and comprehensive than what he could have written on his own. The lawsuit was eventually successful, and Mr. Mata was awarded damages. This case shows the potential of ChatGPT and other language models to help lawyers with their work.

simonw 3y ago
Oh dear!
- mclightning 3y ago
  it gave me a longer, but yet again very positive sounding summary; > The article is about the use of large language models (LLMs) in the legal profession. The author argues that LLMs have the potential to revolutionize the way lawyers practice law, by automating many of the tasks that are currently done manually. For example, LLMs could be used to generate legal documents, research case law, and identify relevant precedents. The author also argues that LLMs could be used to improve the quality of legal services, by providing lawyers with access to a vast amount of information and expertise. However, the author also acknowledges that there are some challenges that need to be addressed before LLMs can be widely adopted in the legal profession. These challenges include the need for LLMs to be trained on large amounts of data, the need for LLMs to be able to understand the nuances of legal language, and the need for LLMs to be able to generate accurate and reliable results. Despite these challenges, the author believes that LLMs have the potential to make a significant impact on the legal profession, and that they are likely to become increasingly important in the years to come. Here are some of the benefits of using LLMs in the legal profession: LLMs can automate many of the tasks that are currently done manually, freeing up lawyers to focus on more complex work. LLMs can access and process vast amounts of information, which can help lawyers to make better decisions. LLMs can identify patterns and trends that would be difficult for humans to see, which can help lawyers to spot potential problems. LLMs can generate creative solutions to legal problems, which can help lawyers to find new and innovative ways to represent their clients. Here are some of the challenges that need to be addressed before LLMs can be widely adopted in the legal profession: LLMs need to be trained on large amounts of data, which can be expensive and time-consuming. LLMs need to be able to understand the nuances of legal language, which can be difficult for computers to do. LLMs need to be able to generate accurate and reliable results, which can be a challenge for complex legal problems. Overall, the author believes that LLMs have the potential to make a significant impact on the legal profession, and that they are likely to become increasingly important in the years to come.
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koonsolo 3y ago
So one language model lying to a human an sticking up for another (competing) language model. It's starting people! ;)

by dunham 3y ago

simonw 3y ago

Oh dear!

mclightning 3y ago
it gave me a longer, but yet again very positive sounding summary; > The article is about the use of large language models (LLMs) in the legal profession. The author argues that LLMs have the potential to revolutionize the way lawyers practice law, by automating many of the tasks that are currently done manually. For example, LLMs could be used to generate legal documents, research case law, and identify relevant precedents. The author also argues that LLMs could be used to improve the quality of legal services, by providing lawyers with access to a vast amount of information and expertise. However, the author also acknowledges that there are some challenges that need to be addressed before LLMs can be widely adopted in the legal profession. These challenges include the need for LLMs to be trained on large amounts of data, the need for LLMs to be able to understand the nuances of legal language, and the need for LLMs to be able to generate accurate and reliable results. Despite these challenges, the author believes that LLMs have the potential to make a significant impact on the legal profession, and that they are likely to become increasingly important in the years to come. Here are some of the benefits of using LLMs in the legal profession: LLMs can automate many of the tasks that are currently done manually, freeing up lawyers to focus on more complex work. LLMs can access and process vast amounts of information, which can help lawyers to make better decisions. LLMs can identify patterns and trends that would be difficult for humans to see, which can help lawyers to spot potential problems. LLMs can generate creative solutions to legal problems, which can help lawyers to find new and innovative ways to represent their clients. Here are some of the challenges that need to be addressed before LLMs can be widely adopted in the legal profession: LLMs need to be trained on large amounts of data, which can be expensive and time-consuming. LLMs need to be able to understand the nuances of legal language, which can be difficult for computers to do. LLMs need to be able to generate accurate and reliable results, which can be a challenge for complex legal problems. Overall, the author believes that LLMs have the potential to make a significant impact on the legal profession, and that they are likely to become increasingly important in the years to come.

deleted 3y ago

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koonsolo 3y ago

So one language model lying to a human an sticking up for another (competing) language model. It's starting people! ;)