Jaron Lanier Looks into AI's Future | AI IRL

I'm so impressed with the hosts! Both are so smart, thinking and responding on the fly, and engaged. Great interview

He is one of those people who not enough people have heard of, but who will be remembered as one of the greats. Well done for having him.

I think his argument about open source falls completely flat simply because closed source has lead to the very thing he suggests open source would do. I'd much rather live in a world where everything is hyper centralized and open source than hyper centralized and closed source.

Jaron Lanier is an underrated voice (probably because his message would cost Social Media companies a lot of money!)

Why is this guy so likeable? The way he speaks, the explanations, they're so engaging, made me want to hear more and learn about such a new topic like AI. What an amazing session.

a note about the CC subtitles: what is written is "Providence," but Jaron Lanier is actually saying "Provenance" - in the framework of Data Provenance. not sure if it was pointed out in comments, and just in case someone needs clarity there, because this is probably the most important point Jaron Lanier is making.

Bring this man here again, and each time will be unique and full of freshness. Well done Jaron!

The conversation was spread too thin I think. Some depth on specific topics is what I came for.

Can somebody explain to me his argument that open source leads to hyper-centralization. He said its due to mathematics and that there are numerous examples but he didn't explain the math or mention an example. "Releasing the code supports emergent monopolies" <-🤔how? elaborate please.

Why did you cut in the middle of him speaking? What did he say that you left out of this version of the video? Just curious.

It’s underrated just how much he can dumb down these topics for us regular people. I’m sure when geniuses talk to each other in private, it sounds like another language.

I can smell that dude's head through my screen.

Its unfortunate to have a brilliant scientist being interviewed and only getting a small snippet of what he’s trying to say, the interviewers are veering back and forth between their pre-prepared questions without engaging the topics that he’s bringing to the table - would love to see the full raw unedited video.

I've followed Jaron since the mid 80's because of his ability to make the extremely complex easy to understand, and his stance on technology oversight for transparency and fairness. I think if tech had more people like him, we'd likely be a lot further advanced than we already are with considerably more useful technology benefiting society, which has always been his aim.

"One needs to be a critic in order to be truly hopeful." A great insight.

I love Jaron every time I hear him talk and always end up feeling enriched

This is a hilarious interview. They ask him a question and he just goes off in a completely different direction (over and over again).

Interesting interview but an improvement for next time would be to have at least one interviewer who understands on a technical level how different models work. Recommender systems are not at all the same thing as large language models, like saying cardiology and pediatrics are the same thing because they are both "medicine".

Jaron has way too much faith in politicians not infringing upon civil liberties. But he is a gem. Always respect his unique perspective and humor.

Jaron Lanier's contributions and perspectives are particularly relevant in the current scenario for several reasons: 1. Ethical AI Development and Use: In an era where AI is becoming increasingly integrated into various aspects of our lives, Lanier's insights remind us of the importance of ethical considerations in AI development. His emphasis on data dignity, where individuals are recognized and compensated for their contributions to AI training, is crucial for ensuring fair and ethical use of personal data. 2. Critical Evaluation of Technological Advancements: Lanier's role as a critic, despite being a pioneer in the field, is essential. In a time when technological advancements are rapidly evolving, having a voice that not only celebrates these developments but also critically evaluates their impact on society is invaluable. His perspectives help in balancing the excitement around AI with a necessary caution about its potential negative impacts. 3.Advocacy for Transparency and User Empowerment: Lanier advocates for transparency in AI systems and empowering users by making them aware of how their data is used. This is particularly important in an age where issues of privacy and data misuse are prevalent. His views encourage a shift towards more user-centric models in technology, promoting greater trust and accountability. 4. The Future of Work and Society: Lanier’s ideas about compensating individuals for their data contributions tie into larger discussions about the future of work and the economy in the AI age. As automation and AI continue to transform the job market, his proposals offer alternative ways to think about economic participation and the value of human contributions in a digital world. If we do not heed Lanier's insights and warnings, we risk developing and deploying AI technologies without fully considering their ethical implications, societal impacts, and the need for equitable data practices. This could lead to increased issues of privacy infringement, unequal power dynamics in the digital economy, and the perpetuation of systems that prioritize corporate benefits over individual rights and societal welfare. Lanier’s contributions offer a path towards more responsible and beneficial AI development, emphasizing the need for a balance between technological innovation and human-centered values.