Artificial Intelligence (AI) continues to make waves in various industries, including journalism, programming, education, and entertainment. From legal challenges faced by OpenAI, the creator of ChatGPT, to discussions about the future of computer programmers and the impact of AI on classrooms, important questions arise about the role of conversational AI in our society.
One key aspect highlighted by Jennifer Brandel of Hearken is that humans possess a competitive advantage over AI when it comes to attention. While AI lacks intrinsic care and compassion, journalists must compensate for this by caring more and ensuring they maintain the trust of their audience.
Emad Mostaque, founder of Stability AI, predicts that there will be no programmers in five years as much of their work can already be done by AI engines. This raises questions about the future role of programmers and how they can adapt to remain relevant in an increasingly automated world.
In the field of education, AI tools like ChatGPT have the potential to transform classrooms positively. The US Department of Education recognizes three reasons why AI should be integrated into education: it enables better meeting educational priorities at scale and lower costs; it provides support for teachers; and it highlights potential risks and unintended consequences that need to be addressed.
Google steps up with Gemini
Google’s DeepMind AI lab attracted the world’s attention seven years ago when it created an AI program called AlphaGo that defeated a human champion of the strategy board game Go. Now, Wired reports, DeepMind is working on a new large language model called Gemini that’s similar to GPT-4, which powers ChatGPT, but which it claims will do much more than its rival. (Yes, I know, competitors always say they will do more than their rivals.) What is more? Planning and problem solving, Demis Hassabis, DeepMind’s CEO, said in an interview with Wired.
“At a high level you can think of Gemini as combining some of the strengths of AlphaGo-type systems with the amazing language capabilities of the large models,” Hassabis said.
AlphaGo, Wired writes, “was based on a technique DeepMind has pioneered called reinforcement learning, in which software learns to take on tough problems that require choosing what actions to take like in Go or video games by making repeated attempts and receiving feedback on its performance. It also used a method called tree search to explore and remember possible moves on the board.”
Will it truly be better than ChatGPT, which cost OpenAI over $100 million to develop? We’ll see. But what we do know is that Gemini will also be expensive, with Hassabis saying it will cost tens or hundreds of millions of dollars to create.
On ChatGPT not needing the internet
In the same interview, Mostaque was asked if he can predict what will happen with respects to AI in the next 10 years. Responding to the question, he said that he can’t see past five years and that by the end of next year, people won’t need an internet to access ChatGPT as it will be available on phones, without the need of an internet connection.
“By the end of next year I believe you will have ChatGPT on your mobile phone without internet,” he said.
Meanwhile, some companies have already started using ChatGPT to write code while others are hiring experts in ChatGPT and are ready to pay great salaries too.
Software company Freshworks’ employees CEO, in an interview in May, said that the work that used to take months is now getting done in weeks as the company’s employees are using ChatGPT to write code.
CEO Girish Mathrubootham had told Fortune, “We use ChatGPT to write code,” and added that software development that used to take around 8-10 weeks can now be done ‘in less than a week’.