GPT-4 Just Got Supercharged!

Two Minute Papers
17 Apr 202408:29

TLDRThe video discusses the recent enhancements to GPT-4, highlighting its improved directness in responses and increased capabilities in writing, math, logical reasoning, and coding. It emphasizes the model's better reading comprehension and significant progress in tackling complex questions from the GPQA dataset. The video also notes that while GPT-4 shows improvement in various areas, Claude 3 stands out in certain types of reasoning. The presenter shares insights on how to access and utilize the new GPT-4 and mentions the Chatbot Arena leaderboard for evaluating chatbot performance. Additionally, the video addresses concerns about the accuracy of a previously showcased AI system called Devin, emphasizing the importance of peer-reviewed research and the presenter's commitment to accurate representation.

Takeaways

  • 🚀 **GPT-4 Enhancements**: GPT-4 has been updated to provide more direct responses and less meandering in the answers, which is a significant improvement for users seeking concise information.
  • 🛠️ **Customization Options**: Users can now customize their ChatGPT experience by providing instructions such as requesting brief answers, not being too formal, and always citing sources.
  • 📈 **Improved Capabilities**: GPT-4 shows better performance in writing, math, logical reasoning, and coding, which can be beneficial for a wide range of applications.
  • 🧠 **Reading Comprehension**: The update has led to an improvement in reading comprehension, which is crucial for understanding and processing complex text inputs.
  • 🧪 **GPQA Dataset Performance**: GPT-4 has shown significant progress in handling the GPQA dataset, which is known for its challenging questions in organic chemistry, molecular biology, and physics.
  • 📊 **Mathematical Improvements**: GPT-4's performance on mathematical tasks has improved dramatically, with a notable increase in scores on a dataset that even challenges international mathematical olympiad gold medalists.
  • 💻 **HumanEval Dataset**: While GPT-4's performance on generating code, as measured by the HumanEval dataset, appears slightly worse, it still represents a step forward in overall capabilities.
  • 🚗 **Evolutionary Progress**: The script compares the progress of GPT-4 to self-driving cars, where improvements in some areas might be offset by minor declines in others, but the overall trend is towards enhanced performance.
  • 🏆 **Chatbot Arena Leaderboard**: GPT-4 has taken the first place in the Chatbot Arena leaderboard, an Elo score-based ranking system that reflects the collective opinion of human voters on chatbot responses.
  • 🔍 **Competitive AI Systems**: The script mentions other competitive AI systems like Claude 3 and Command-R+ from Cohere, which are making strides in areas such as information retrieval and cost-effectiveness.
  • 📅 **Knowledge Cutoff Date**: Users can check if they have access to the updated GPT-4 by asking about the knowledge cutoff date, which should be recent to indicate the latest version.
  • 🤖 **Devin AI Update**: There's a mention of Devin, an AI system designed to work like a software engineer, with a cautionary note about the potential overstatement of its capabilities based on a new credible source.

Q & A

  • What is the main update in GPT-4 that has been mentioned in the transcript?

    -The main update in GPT-4 includes more direct responses, less meandering in the answers, and improvements in writing, math, logical reasoning, and coding.

  • How can users customize their ChatGPT experience?

    -Users can customize their ChatGPT experience by clicking on their username, selecting 'customize ChatGPT', and providing specific instructions to tailor the responses to their preferences.

  • What is the significance of the GPQA dataset in evaluating GPT-4's capabilities?

    -The GPQA dataset is significant because it contains challenging questions that can make even specialist PhD students in fields like organic chemistry, molecular biology, and physics struggle. GPT-4's performance on this dataset indicates its advanced reading comprehension skills.

  • How did GPT-4 perform on the mathematics dataset compared to three years ago?

    -GPT-4 showed a significant improvement, scoring 72% on the mathematics dataset, compared to the 3 to 7% scored by the most recent language models three years ago.

  • What is the HumanEval dataset, and how did GPT-4 perform on it?

    -The HumanEval dataset is used for evaluating a model's ability to generate code. GPT-4's performance on this dataset was slightly worse, indicating that while it has improved in some areas, there is still room for improvement in others.

  • How does the Chatbot Arena leaderboard work?

    -The Chatbot Arena leaderboard works by using an Elo score system, similar to the one used for chess players. A prompt is given, and two anonymous chatbots provide answers. People then vote on which answer they prefer, and after half a million such votes, a score is determined.

  • What was the first surprise regarding the new GPT-4 on the Chatbot Arena leaderboard?

    -The first surprise was that the new GPT-4 took first place, indicating its superior performance among the evaluated chatbots.

  • Which AI system was mentioned as being very close to GPT-4 in performance on the Chatbot Arena leaderboard?

    -Claude 3 Opus was mentioned as being right on the heels of GPT-4, showing very close performance.

  • What is the significance of Command-R+ from Cohere in the context of the transcript?

    -Command-R+ from Cohere is significant because it is a new and competitive AI system that is particularly excellent at information retrieval from documents.

  • How can users determine if they have access to the updated GPT-4 model?

    -Users can ask Scholarly ChatGPT about its knowledge cutoff date. If the date is more recent, such as April 2024, it indicates that the user has access to the updated GPT-4 model.

  • What is the current status of Devin, the AI system that works as a software engineer?

    -There is a new credible source that claims the demo of Devin may not always represent the real capabilities of the system. The speaker expresses concern about potentially overstating the results in an earlier video and apologizes for any misrepresentation.

  • What is the speaker's approach to discussing non-peer-reviewed but interesting topics?

    -The speaker leans towards occasionally discussing non-peer-reviewed topics but acknowledges the risk of overstating results. They aim to do a better job at pointing out potential pitfalls when covering such topics.

Outlines

00:00

🚀 ChatGPT's Enhancements and GPT-4 Updates

The video discusses the recent improvements made to ChatGPT, highlighting its increased intelligence and direct response capabilities. It introduces a custom instruction feature that allows users to tailor the AI's responses to their preferences. The update has led to better performance in writing, mathematics, logical reasoning, and coding. The video also compares GPT-4's performance to other AI models on various datasets, noting that while it shows improvement in some areas, it may lag in others. The presenter, Dr. Károly Zsolnai-Fehér, shares his anticipation of trying Sora and presents a leaderboard from the Chatbot Arena to evaluate the AI's performance based on public voting.

05:07

🔍 Introducing New AI Models and the Devin Software Engineer AI Update

The second paragraph introduces new AI models such as Claude 3 Opus and Command-R+ from Cohere, emphasizing their competitive edge and strengths in information retrieval. It also mentions Claude 3 Haiku, which is more cost-effective and capable of remembering longer conversations. The video provides instructions on how to access the new version of ChatGPT and encourages viewers to share their experiences. Lastly, it addresses a potential issue with the Devin software engineer AI, acknowledging that previous demonstrations may have overstated its capabilities, and expresses a commitment to more accurate representation in future discussions.

Mindmap

Keywords

💡Supercharged

The term 'supercharged' in the context of the video refers to the significant improvements made to the ChatGPT AI system. It suggests that the AI has been enhanced in terms of speed, efficiency, and capabilities. In the video, it is used to describe the advancements in the AI's ability to provide more direct responses, better writing, math, logical reasoning, and coding.

💡Custom Instruction

A 'custom instruction' is a user-defined directive that can be set within the ChatGPT interface to tailor the AI's responses to the user's preferences. In the video, it is mentioned as a feature that allows users to have greater control over the answers they receive from ChatGPT, such as requesting brief answers or specifying the tone and content of the responses.

💡Reading Comprehension

Reading comprehension is the ability to understand and interpret written material. In the context of the video, it is highlighted as one of the areas where GPT-4 has improved, meaning that the AI can now better understand and process the information it reads, which is crucial for providing accurate and relevant responses.

💡Dataset

A 'dataset' is a collection of data that is typically used for analysis or machine learning purposes. The video discusses the GPQA dataset, which is a challenging set of questions designed to test the AI's ability to understand and answer complex queries. The improvement in GPT-4's performance on this dataset is presented as evidence of its enhanced capabilities.

💡Anthropic's Claude 3

Anthropic's Claude 3 is an AI system that is mentioned in the video as being particularly adept at logical reasoning tasks. It is compared to GPT-4 to illustrate the competitive landscape of AI systems and to highlight the areas where GPT-4 has improved and where other systems may still lead.

💡Mathematics

The video discusses the advancements in GPT-4's ability to perform mathematical tasks. It provides an example of how the AI's performance on a mathematical dataset has improved over time, comparing the scores of earlier language models to the newer GPT-4's score, which is a significant increase and indicative of its enhanced mathematical reasoning capabilities.

💡HumanEval Dataset

The HumanEval dataset is used to evaluate the AI's ability to generate code. In the video, it is mentioned that GPT-4's performance on this dataset appears to be slightly worse compared to its predecessors. This highlights that while the AI has improved in some areas, there may be other areas where it has not yet reached the same level of proficiency.

💡Self-Driving Cars

The video uses the evolution of self-driving cars as a metaphor for the progress of AI systems like GPT-4. It suggests that while there may be setbacks or areas of improvement, the overall trend is towards increasing capability and performance. This analogy helps to illustrate the iterative nature of AI development.

💡Chatbot Arena Leaderboard

The Chatbot Arena leaderboard is a platform where AI chatbot technologies are compared based on user preference votes. It uses an Elo score system, similar to that used in chess, to rank the chatbots. In the video, the leaderboard is used to demonstrate the relative performance of GPT-4 against other AI systems, providing a measure of its effectiveness as perceived by users.

💡Elo Score

The Elo score is a method for calculating the relative skill levels of players in two-player games such as chess. In the context of the video, it is used by the Chatbot Arena to rank the performance of different AI chatbots. The score is determined by user votes on which of two anonymous chatbot responses is better, offering a measure of the AI's perceived quality.

💡Devin

Devin is an AI system that is designed to work as a software engineer. The video mentions a new credible source that questions the representativeness of the demo shown in previous videos, which could potentially overstate the system's capabilities. The mention of Devin serves as a cautionary note about the importance of accurate representation and the ongoing evaluation of AI systems.

Highlights

ChatGPT has been supercharged with smarter and more complex capabilities.

GPT-4 promises more direct responses and less meandering in answers.

Users can customize ChatGPT's responses by providing instructions through a personalization feature.

GPT-4 has shown improvements in writing, math, logical reasoning, and coding.

Reading comprehension and GPQA (a tough dataset) have seen notable enhancements in GPT-4.

GPT-4's performance on GPQA is compared to that of specialist PhD students in various fields.

Anthropic’s Claude 3 is recognized as superior in certain reasoning tasks.

Mathematical problem-solving capabilities of GPT-4 have significantly improved, as evidenced by dataset performance.

The HumanEval dataset shows GPT-4 performing slightly worse in code generation.

The evolution of self-driving cars is used as a metaphor for the incremental improvements in AI systems.

Chatbot Arena leaderboard provides a single score for each AI technique, similar to an Elo score in chess.

GPT-4 takes first place on the Chatbot Arena leaderboard, with Claude 3 Opus close behind.

Command-R+ from Cohere is noted for its competitiveness and excellent information retrieval capabilities.

Claude 3 Haiku is highlighted for its cost-effectiveness and ability to remember long conversations.

Instructions on how to access and identify the new GPT-4 on chat.openai.com are provided.

The knowledge cutoff date is a way to verify if one is using the updated GPT-4 model.

Devin, an AI system designed to work as a software engineer, is discussed with a note on potential overstated results.

The presenter expresses a commitment to learning from potential overstating of non-peer-reviewed research.

The presenter is likely at the OpenAI lab and anticipates sharing more insights from conferences and new research papers.