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🌪 Three months of AI in six charts

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Summary

This article looks back at the past three months of AI development and discusses the impact of AI on software engineering, education, productivity, open source opportunities, and regulations. It also poses a question from a member of the Exponential View community asking about the potential widening of the wealth and power gap due to AI. The article encourages readers to comment and refer friends to win a 30-minute chat with Azeem.

Q&As

What are the six significant events that occurred in the past three months in the world of AI?
The six significant events that occurred in the past three months in the world of AI are the forecasted decline in the cost of computation once natural language programming makes inroads into the profession of software engineering, Wall Street wiping over 40% off the online education company Chegg's stock price, the release of Anthropic's 100k-token version of its model Claude, the first study to tackle the effects of AI on labour and the economy, the growth of open-source AI, and the European Parliament proposing the first comprehensive set of regulations for AI.

How has the development of natural language programming affected the profession of software engineering?
The development of natural language programming has made data science more accessible to those without knowledge of coding or data visualisation, and has shifted the focus of data scientists from hands-on coding, data-wrangling and conducting standard analyses to assessing and managing analyses performed by automated AIs.

How has the introduction of generative AI affected the stock price of the online education company Chegg?
The introduction of generative AI has caused Wall Street to wipe over 40% off the online education company Chegg's stock price in a single day, valuing it at ⅓ of what it was worth at the time of ChatGPT’s initial launch.

What are the implications of the rapidly growing capabilities of large language models?
The rapidly growing capabilities of large language models open up a range of incredibly useful applications, such as the ability to analyse documents that are longer than about 7,000 words, the possibility for greater personalisation of an LLM, and the widening of access to education globally.

How has the European Parliament proposed to regulate AI?
The European Parliament has proposed to regulate AI by regulating models as the end product, rather than the uses of those models, requiring disclosure of information about the copyright status of training data, providing clarity on energy use or risk mitigation, and establishing evaluation standards and an auditing system.

AI Comments

👍 This article is a great overview of the developments in the world of AI over the past three months. It provides an informative and comprehensive look at the changes and advances that have been made.

👎 This article could have gone into more detail on the implications of AI for the economy and for labor, and the potential for widening the gap between those who benefit from AI and those who don't.

AI Discussion

Me: It's about the last three months of AI developments and how they've impacted different industries. It covers topics like education, open source AI, and regulations on AI.

Friend: Interesting. What are some of the implications of these developments?

Me: One of the implications is that data science will become more accessible to those without coding or data visualisation skills. Another implication is that companies like Chegg will be directly affected by generative AI. Additionally, open-source AI is reducing the cost of training for these models and increasing competition for AI developers. Lastly, regulations on AI are being considered, but could be too early for the emerging technology.

Action items

Research the implications of AI on the labor market and the economy.
Explore open-source AI models and their potential applications.
Consider the ethical implications of AI and how to ensure equitable access to its benefits.

Technical terms

AI: Artificial Intelligence.
LLM: Large Language Model.
Code Interpreter: A computer program that translates code written in one programming language into another programming language.
Data Science: The study of the collection, organization, analysis, and interpretation of data.
Open-Source: Software whose source code is made available to the public for use and/or modification from its original design.
U.S. Congress: The legislative branch of the United States government.
European Parliament: The legislative branch of the European Union.