Machines Like Us

Machines Like Us

Machines Like Us is a technology show about people. We are living in an age of breakthroughs propelled by advances in artificial intelligence. Technologies that were once the realm of science fiction will become our reality: robot best friends, bespoke gene editing, brain implants that make us smarter. Every other Tuesday Taylor Owen sits down with the people shaping this rapidly approaching future. He’ll speak with entrepreneurs building world-changing technologies, lawmakers trying to ensure they’re safe, and journalists and scholars working to understand how they’re transforming our lives.

  1. Yoshua Bengio Doesn’t Think We’re Ready for Superhuman AI. We’re Building it Anyway.

    9월 24일

    Yoshua Bengio Doesn’t Think We’re Ready for Superhuman AI. We’re Building it Anyway.

    A couple of weeks ago, I was at this splashy AI conference in Montreal called All In. It was – how should I say this – a bit over the top. There were smoke machines, thumping dance music, food trucks. It was a far cry from the quiet research labs where AI was developed. While I remain skeptical of the promise of artificial intelligence, this conference made it clear that the industry is, well, all in. The stage was filled with startup founders promising that AI was going to revolutionize the way we work, and government officials saying AI was going to supercharge the economy. And then there was Yoshua Bengio. Bengio is one of AI’s pioneering figures. In 2018, he and two colleagues won the Turing Award – the closest thing computer science has to a Nobel Prize – for their work on deep learning. In 2022, he was the most cited computer scientist in the world. It wouldn’t be hyperbolic to suggest that AI as we know it today might not exist without Yoshua Bengio. But in the last couple of years, Bengio has had an epiphany of sorts. And he now believes that, left unchecked, AI has the potential to wipe out humanity. So these days, he’s dedicated himself to AI safety. He’s a professor at the University of Montreal and the founder of MILA - the Quebec Artificial Intelligence Institute.  And he was at this big AI conference too, amidst all these Silicon Valley types, pleading with the industry to slow down before it’s too late.

    42분
  2. There’s a Way to Cool the Planet. Scientists are Terrified of It.

    9월 10일

    There’s a Way to Cool the Planet. Scientists are Terrified of It.

    In 2015, 195 countries gathered in Paris to discuss how to address the climate crisis. Although there was plenty they couldn’t agree on, there was one point of near-absolute consensus: if the planet becomes 2°C hotter than it was before industrialization, the effects will be catastrophic. Despite that consensus, we have continued barrelling toward that 2°C threshold. And while the world is finally paying attention to climate change, the pace of our action is radically out of step with the severity of the problem. What is becoming increasingly clear is that just cutting our emissions – by switching to clean energy or driving electric cars – will not be sufficient. We will also need some bold technological solutions if we want to maintain some semblance of life as we know it. Luckily, everything is on the table. Grinding entire mountains into powder and dumping them into oceans. Sucking carbon directly out of the air and burying it underground. Spraying millions of tons of sulphur dioxide directly into the atmosphere. Gwynne Dyer has spent the past four years interviewing the world’s leading climate scientists about the moonshots that could save the planet. Dyer is a journalist and historian who has written a dozen books over his career, and has become one of Canada’s most trusted commentators on war and geopolitics. But his latest book, Intervention Earth, is about the battle to save the planet. Like any reporting on the climate, it’s inevitably a little depressing. But with this book Dyer has also given us a different way of thinking about the climate crisis – and maybe even a road map for how technology could help us avoid our own destruction.

    44분
  3. Why Journalism Made a Devil’s Bargain with Big Tech

    8월 13일

    Why Journalism Made a Devil’s Bargain with Big Tech

    Things do not look good for journalism right now. This year, Bell Media, VICE, and the CBC all announced significant layoffs. In the US, there were cuts at the Washington Post, the LA Times, Vox and NPR – to name just a few. A recent study from Northwestern University found that an average of two and a half American newspapers closed down every single week in 2023 (up from two a week the year before). One of the central reasons for this is that the advertising model that has supported journalism for more than a century has collapsed. Simply put, Google and Meta have built a better advertising machine, and they’ve crippled journalism’s business model in the process. It wasn’t always obvious this was going to happen. Fifteen or twenty years ago, a lot of publishers were actually making deals with social media companies, thinking they were going to lead to bigger audiences and more clicks. But these turned out to be faustian bargains. The journalism industry took a nosedive, while Google and Meta became two of the most profitable companies in the world. And now we might be doing it all over again with a new wave of tech companies like OpenAI. Over the past several years, OpenAI, operating in a kind of legal grey area, has trained its models on news content it hasn’t paid for. While some news outlets, like the New York Times, have chosen to sue OpenAI for copyright infringement, many publishers (including The Atlantic, the Financial Times, and NewsCorp) have elected to sign deals with OpenAI instead. Julia Angwin has been worried about the thorny relationship between big tech and journalism for years. She’s written a book about MySpace, documented the rise of big tech, and won a Pulitzer for her tech reporting with the Wall Street Journal. She was also one of the few people warning publishers the first time around that making deals with social media companies maybe wasn’t the best idea. Now, she’s ringing the alarm again, this time as a New York Times contributing opinion writer and the CEO of a journalism startup called Proof News that is preoccupied with the question of how to get people reliable information in the age of AI.

    42분

호스트 및 게스트

4.5
최고 5점
11개의 평가

소개

Machines Like Us is a technology show about people. We are living in an age of breakthroughs propelled by advances in artificial intelligence. Technologies that were once the realm of science fiction will become our reality: robot best friends, bespoke gene editing, brain implants that make us smarter. Every other Tuesday Taylor Owen sits down with the people shaping this rapidly approaching future. He’ll speak with entrepreneurs building world-changing technologies, lawmakers trying to ensure they’re safe, and journalists and scholars working to understand how they’re transforming our lives.

The Globe and Mail의 콘텐츠 더 보기

좋아할 만한 다른 항목

무삭제판 에피소드를 청취하려면 로그인하십시오.

이 프로그램의 최신 정보 받기

프로그램을 팔로우하고, 에피소드를 저장하고, 최신 소식을 받아보려면 로그인하거나 가입하십시오.

국가 또는 지역 선택

아프리카, 중동 및 인도

아시아 태평양

유럽

라틴 아메리카 및 카리브해

미국 및 캐나다