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Artificial intelligence has continued to redefine the landscape of the generation in 2024, driving replacing in a wide diversity of fields. AI temporarily has a component of everyday life, with AI-powered features built into everything from search engines and mobile phones to hospital appliances and policies. Jeffrey Brown discussed the year’s highs in AI advancement with Semafor’s Reed Albergotti.
Notice: Transcripts are machine and human generated and lightly edited for accuracy. They may contain errors.
Nick Schifrin:
2024 will be known as the year that synthetic intelligence redefined the technological landscape. 2025 may be known as the year that allied technology leaders of the United States and President-elect Trump consume to capture an AI market.
Jeffrey Brown returned to the ups and downs of Ai. Advancement.
Jeffrey Brown:
It temporarily has an everyday life component, with A. I. Food characteristics are incorporated into everything from search engines and mobile phones to appliances and hospital policies.
But at what speed, with what have an effect on and what are the limits of long run growth?
For some end of the year races, Reed Albergotti accompanies me, the Semafor generation editor.
So, thank you so much for joining us.
And knowing that this is a field, tell us two or three of last year’s wonderful advances and why they stood out for you.
Reed Albergotti, Semafor:
Yeah, one, I think, is self-driving cars.
After stagnating in your progress during the last two years, we have noticed wonderful progress this year. And Waymo, the Google autonomous robotxi that will be available in San Francisco and Arizona, will now expand to 10 cities during the next year.
We’ve also noticed that all of Tesla’s diversity makes wonderful progress. That’s interesting. I think some other one with AI. The templates were those text-to-video templates, which were teased via Openai’s Sora earlier this year. This is now available to the public. And these allow you to invite a template with text. And it gives this video that it is almost indistinguishable from reality.
Google has released its similar, competing style later this year. And I think the very big I think there’s not enough other people who just pay attention just the reasoning styles. By the end of this year, we have noticed a great building in capabilities due to this new technique, where only encouraging an A. I. Styling and retrieving a response, styling will go through and locate many other probabilities for an answer and do what’s called chain of thought reasoning, where it breaks down the invitation into several stages.
And we’re — it’s very expensive right now to do this technique. But I think the costs are coming down. We will see massive improvements.
Jeffrey Brown:
You talked about expenses.
I mean, it’s not hard to locate articles asking about the limits, the type of holds. What did you think happened that hasn’t happened so far?And what kind of limits appear?
Reed Albergotti:
Yes, I mean, this year — I really predicted that this year we would see a big change in how we use computers due to A.I.
So, instead of clicking and typing to do a given task on a computer, you will just ask that computer, I want to do this and it will do it for you. And that really hasn’t happened. And part of that is expense. Part of it is technological capability. And I think these reasoning models will help because they will allow us to sort of trust models more to actually carry out the tasks that we ask them to do and not sort of go off the rails.
Therefore, it is possible that it will take place this year or next. I think that will be the case eventually. But in terms of infrastructure costs, in my opinion, these are some of the biggest obstacles for this type of technology.
Jeffrey Brown:
What about the ongoing or developing role of government, first in regulations, in how AI is sold, and then, of course, in its new link to our politics?
Reed Albergotti:
Yes, I think verbal expansion around AI is going to replace it entirely. I think we’re going to communicate less about domain technology.
And because of the wonderful influence of other people like Elon Musk in the new administration, I think we’ll see more to communicate about how we can get America to win the AI championship. Race with China. I think it will be a great issue. And I think the way the government will help will be by supporting the infrastructure structure and removing the administrative formalities that save some of the development of new nuclear power plants or other bureaucracy of the force to put those huge centers of knowledge, those centers of artificial intelligence. The models work.
Jeffrey Brown:
What about some other advances you are looking for for next year? I don’t know how intelligent you are like an intelligent predictor; You felt that you had been in the past, however, I will offer you some for this year that can have an effect on us on our daily lives.
Reed Albergotti:
Yes, it’s still a pointless task to do this, but I’ll do it anyway.
I think, next year, we will see some big advancements in robotics. Right now, the way robotics works is, you program it for a very narrow and specific task. And I think we will see, maybe not in consumer products, but in sort of labs and maybe big tech companies showing off some of these experiments. We will see robots that are able to do tasks that they were not ever trained to do.
And this is what the other A. I. people call for generalization or general intelligence. I think we’re going to see another one that I think will get less attention, but it’s going to be there, it’s new. Clinical research.
I think we will see papers come out in fields like physics and biology and material science where A.I. was — played a big part in making that — those discoveries. And that’s just because these models can read millions of pages of research in a few minutes that would take humans more than a lifetime to read.
Jeffrey Brown:
So many things are happening and many of us still do not perceive or perceive the generation or have an effect on us. What recommendation would you give us in this situation?
Reed Albergotti:
Well, first of all, you shouldn’t feel bad, because I think even other people who are the most productive AI researchers in the world don’t know exactly what will happen with this technology.
So pay attention to the technology, play around with it, be curious about it, because it eventually will make a massive difference in all of our lives.
Jeffrey Brown:
Very well Reed Albergotti de Semaor, thank you very much and happy new year.
Reed Albergotti:
THANKS. You too.
During his more than 30 years of career in News Hour, Brown has served as co -present, study moderator and cash reporter on a wide diversity of national and foreign issues, and his paintings have taken him throughout the country and many parts of the world. The country. As an art correspondent, he described many of the writers, musicians, actors and other most important artists in the world. Among his Emblematic Paints of News Hour is a series of several years, “Culture at Risk”, about cultural heritage at risk in the United States. and abroad; the creation of the online program “Art Beat” by Newshour; and organize the monthly electronic book club “Now Read This”, a collaboration with the New York Times.
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