Rex Friedman
john warner
As we near the end of a significant year for AI, we can look back and see some of the biggest trends that are shaping up to disrupt business, and indeed the rest of our lives. Masu.
Let’s take a look back at some words of wisdom from none other than Lex Fridman, who visited us via conference call (or more accurately, recorded message) at this year’s IIA event. Now, remember, this was six months ago, but some of the things he said then have resonated throughout the year, and we’ve seen great, sudden, exquisite progress in these areas. We are making great progress.
Anyway, I was thinking about some of the things he said. Six months ago, his speech wasn’t very long, but he shared at least five trends that he thinks will make waves in the tech industry in 2024.
Introducing chatbots into every pot
It’s worth reusing this heading when talking about the power of a personalized LLM.
With the availability of new hardware and neural network designs, the idea has emerged that it will be possible to run a suitable LLM on regular endpoint devices.
Cupertino, California – September 12: The new iPhone X is on display during Apple’s special event… [+] September 12, 2017 at the Steve Jobs Theater on the Apple Park campus in Cupertino, California. Apple held its first special event at its new Apple Park campus to announce the new iPhone 8, iPhone X, and Apple Watch Series 3. (Photo: Justin Sullivan/Getty Images)
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This was the first of Fridman’s remarks, and since he made this prediction, much has actually been said about the types of neural networks that can process information at the edge of the network rather than sending it through the cloud. progress has been seen. .
This reverses a decade-long trend toward centralizing data processing, and is something that many of our leaders are focused on. It would be a game-changer if ordinary people could carry this kind of power with them wherever they go.
AI and translation
Fridman’s second focus was on the power of AI to break down language barriers.
For the rest of the 21st century, we would consider the arduous task of individual language learning to be quite obsolete. People will essentially be able to take advantage of the power of large-scale language models to speak in one language and render it in another language very easily.
Business people talking with a smile
getty
This is an interesting application that reminds us of the old story of the Tower of Babel (whatever we take from that story) and represents one of the many ways in which AI can enhance human capabilities.
Reinventing web search
Web search will also be transformed, Fridman suggested. “Google and Bing and all the other search engines are going to evolve rapidly,” he said, referring to new ways to access the vast amount of information on the world’s internet.
It is not difficult to see the potential for this change. For those of us who watched the Internet mature, the first two decades were the era of keyword-related web searches, or Web 1.0.
The new search will become more intuitive and seamless, and the old paradigm will start to look clunky and outdated.
Classic magnifying glass on a white background
getty
Either way, web search is another harbinger of the big changes AI will bring this year and the coming years.
Run with a humanoid robot
Fridman also mentioned the rise of robots. This interface has the potential to fool and surprise humans and pass all sorts of physical Turing tests.
“There are a lot of great companies working on this,” he said, encouraging people to take a look at Boston Dynamics’ Atlas design.
So what is Atlas doing now?
As we rapidly enhance interface design, robots are moving beyond simply moving and navigating physical space. They are learning to perceive what is around them, to manipulate objects, and even to “feel” the attributes of objects, and to “think” about the objects they come in contact with. You can see more videos of this kind of experimental work on the BD lab page.
open source promise
“Open source is good for everyone,” Fridman said. “It’s a win-win.”
And certainly, many of us are excited about the possibilities of open source design.
Along the way, conflicts may arise between walled garden licensed products and open source models, just as has happened with many other types of technology tools. If open source wins, it will encourage community collaboration and transparency about how these models are used.
This is a quick story about what Lex Fridman had to tell us at the beginning of the year and how those trends have changed as the year has progressed. In 2025, keep an eye out for new developments that explore what’s possible with rapidly evolving artificial intelligence.
