It’s Monday and I’m back with this week's issue of AI Watch. In this edition, we cover a range of topics related to the latest developments in AI technology and its potential impact on various industries. So, join us as we dive into the exciting world of AI and its implications for the future.
- While Google’s BARD is expected to be a game-changer in natural language processing, the company is taking a cautious approach to its rollout. According to reports, Google is limiting access to BARD to a small group of researchers and developers to ensure its responsible and ethical use. Additionally, the company is addressing potential bias and striving for transparency in the development of the new model. And it’s great that Google is rolling it out cautiously and with disclaimers, given the funny experiences which some users with access to Bard have reported. In one such instance, Bard said that it thinks that Google will shut it down within the next one to two years.?
- A new study by a Wharton professor found that using OpenAI's GPT-3 language model can produce high-quality results in just 30 minutes. The study involved a group of students who were tasked with generating a business plan using the GPT-3 language model. The results showed that the students were able to produce a high-quality business plan in just half an hour, which is significantly faster than the time it would take to complete the task manually. The article highlights the potential of AI tools like GPT-3 to improve productivity and efficiency in various industries, including business and finance. However, it also acknowledges the potential risks associated with the increasing use of AI and the need for responsible deployment of these technologies. The article concludes by noting that the study's findings demonstrate the transformative potential of AI tools but also emphasize the importance of human oversight and ethical considerations in their development and deployment.
- Exploring the applications of GPT, a software engineer recently shared his experience using OpenAI's GPT-3 language model to write computer code. The thread on Hacker News highlights the potential of GPT-3 to improve programming productivity and efficiency, particularly in cases where developers need to quickly generate code for simple tasks. The discussion thread includes various opinions on the use of AI in programming. However, some commenters have expressed concern over the potential impact on job security for human programmers. while others suggest that AI can serve as a valuable tool for developers to improve their efficiency and focus on more complex tasks. Overall, the thread is an interesting read, especially for those interested in debating around potential benefits and drawbacks of using AI in software development.
- While everyone’s glued to how the integration with GPT will be leveraged by major companies like Amazon, Microsoft, and more, GPT is becoming quite mainstream with the general population for their personal use, too. This time, beyond just taking help to draft emails or completing assignments.? A Twitter user @peakcooper shared how his dog was diagnosed with a tick-borne disease and initially seemed to be improving with treatment but later experienced severe anemia. Despite running multiple tests, the vet was unable to determine the cause of the anemia. He then turned to GPT4 for assistance and which provided detailed information and blood test results. GPT4 accurately diagnosed the underlying issue as IMHA, which was later confirmed by a second vet. The author appreciated GPT4's ability to read and interpret blood test results and suggested that medical diagnostics could greatly benefit from AI advancements in the future.? Quite a win for GPT’s reliability on the medical front when there has been a lot of skepticism around it!
- Coming to industry disruption, Twitter user @george__mack shares how ChatGPT has the potential to disrupt the current education system.It is getting harder to accurately tell whether the content is generated by AI or humans. This was easier before generative AI, and educational systems have navigated the 'copy from the Internet' threat for over 2 decades now. But that is now not working, which makes the entire education model questionable.
As this newsletter issue on AI comes to a close, it is clear that the rapid advancement of AI technologies brings both immense potential and significant challenges. From the introduction of Google's BARD language model to the transformative potential of GPT-3 in business and programming, it is clear that AI has the power to revolutionize various industries. However, the responsible and ethical deployment of these technologies remains crucial, as highlighted by Google's cautious approach to BARD and the need for human oversight and ethical considerations in AI development and deployment. As we continue to explore the capabilities and limitations of AI, it is essential to ensure that these technologies are used for the greater good and with a focus on enhancing human capabilities, rather than replacing them.
