Toggle light / dark theme

This is the dawn of machine consciousness | Joscha Bach FULL INTERVIEW

In this in-depth interview, Joscha Bach shares his insights into AI: what it illuminates about consciousness, how it will develop, and what it means for humanity.

Is AI our only chance at achieving real understanding?

With a free trial, you can watch our full archive of Joscha Bach’s talks and debates at https://iai.tv/home/speakers/joscha-b… Introduction 00:08 What is Artificial General Intelligence, and how far away are we from creating it? 01:08 Do you consider AI humanlike now? 02:43 Why do you defend a computational perspective? 03:44 Is AI the method for the universe to understand itself? 04:26 How is AI transforming society now, and how will it transform society in the next few years? 05:20 Do you think we have the capacity to reconceive how our institutions will function in light of these changes? 06:17 How could AI help us solve the climate crisis, when our biggest problem is inaction? 08:24 Have we become less critical, as a species? 10:40 Would you agree that social media has been detrimental to our society? 12:58 How do you think AGI will be realised? 18:46 What are the differences between evolved systems and designed systems? 20:31 What did you think of the infamous open letter about AI safety? 24:24 How can we solve AI’s misalignment to human values? 25:43 Do you have hope for the future? 27:33 Do you think it’s possible to build a machine that understands? 30:32 Do you think that we are living in base reality? Join cognitive scientist and AI researcher Joscha Bach in this exclusive interview on the limits, risks, and future of AI. From the potential of Artificial General Intelligence to the alignment problem and the fundamental ways AI learns differently from humans, Bach explores whether AI might one day grasp reality on a deeper level than we can. He also examines the systemic failures of institutions in tackling the climate crisis and the COVID-19 pandemic, arguing that the internet’s potential for collective intelligence remains largely untapped. Might AI help us overcome these challenges, or does it merely reflect our own limitations? Interviewed by Darcy Bounsall. #ai #agi #artificialintelligence #artificialgeneralintelligence #consciousness #computerscience Joscha Bach is a cognitive scientist, AI researcher, and philosopher whose research aims to bridge cognitive science and AI by studying how human intelligence and consciousness can be modelled computationally. The Institute of Art and Ideas features videos and articles from cutting edge thinkers discussing the ideas that are shaping the world, from metaphysics to string theory, technology to democracy, aesthetics to genetics. Subscribe today! https://iai.tv/subscribe?utm_source=Y… For debates and talks: https://iai.tv For articles: https://iai.tv/articles For courses: https://iai.tv/iai-academy/courses.

00:00 Introduction.
00:08 What is Artificial General Intelligence, and how far away are we from creating it?
01:08 Do you consider AI humanlike now?
02:43 Why do you defend a computational perspective?
03:44 Is AI the method for the universe to understand itself?
04:26 How is AI transforming society now, and how will it transform society in the next few years?
05:20 Do you think we have the capacity to reconceive how our institutions will function in light of these changes?
06:17 How could AI help us solve the climate crisis, when our biggest problem is inaction?
08:24 Have we become less critical, as a species?
10:40 Would you agree that social media has been detrimental to our society?
12:58 How do you think AGI will be realised?
18:46 What are the differences between evolved systems and designed systems?
20:31 What did you think of the infamous open letter about AI safety?
24:24 How can we solve AI’s misalignment to human values?
25:43 Do you have hope for the future?
27:33 Do you think it’s possible to build a machine that understands?
30:32 Do you think that we are living in base reality?

Join cognitive scientist and AI researcher Joscha Bach in this exclusive interview on the limits, risks, and future of AI. From the potential of Artificial General Intelligence to the alignment problem and the fundamental ways AI learns differently from humans, Bach explores whether AI might one day grasp reality on a deeper level than we can. He also examines the systemic failures of institutions in tackling the climate crisis and the COVID-19 pandemic, arguing that the internet’s potential for collective intelligence remains largely untapped. Might AI help us overcome these challenges, or does it merely reflect our own limitations?

Interviewed by Darcy Bounsall.

PwC cuts 1,500 jobs overnight— Proof that automation, not recession, is driving the layoffs

PricewaterhouseCoopers (PwC) told 1,500 U.S. employees on Monday that their roles were eliminated with immediate effect—about 2 percent of its national headcount. In the company-wide e-mail obtained by industry blog Going Concern, leadership cited “historically low attrition” and a need to “align the firm for the future.” Publicly, a spokesperson framed the move as a […]

How The Stargate Project Plans To Cure Aging

Good channel here.


The future of human longevity just got a $500billion booste thanks to Trump’s bold new AI vision! In this video, we explore the recently announced Stargate AI Infrastructure Project—a staggering $500 billion initiative unveiled by President Donald Trump on January 21, 2025, alongside tech titans OpenAI, Oracle, and SoftBank. Designed to build colossal data centers and supercharge AI development, could this ambitious plan hold the key to curing aging? We dive into the cutting-edge science, the potential of AI to revolutionize healthcare, and how Stargate might reshape humanity’s fight against time. Buckle up for a wild ride into the future!

🔍 What You’ll Discover:
The Stargate Project: Trump’s massive AI infrastructure gamble.
How AI could unlock breakthroughs in aging research.
The players: OpenAI, Oracle, SoftBank, and their bold vision.
The big question: Can this tech triumph over mortality?

JOIN LSN Patreon for exclusive access to news, tips and a community of like minded longevity enthusiasts: https://www.patreon.com/user?u=29506604

🔔 Like, subscribe, and hit the bell for more groundbreaking insights every week! Tell us in the comments: Do you think Stargate could be the key to curing aging? Let’s debate it!

Machine learning method improves accuracy of inverse protein folding for drug design

An AI approach developed by researchers from the University of Sheffield and AstraZeneca, could make it easier to design proteins needed for new treatments.

In their study published in the journal Nature Machine Intelligence, Sheffield computer scientists in collaboration with AstraZeneca and the University of Southampton have developed a new machine learning framework that has shown the potential to be more accurate at inverse than existing state-of-the-art methods.

Inverse protein folding is a critical process for creating novel proteins. It is the process of identifying , the building blocks of proteins, that fold into a desired 3D protein structure and enable the protein to perform specific functions.

Tech jobs, robots are Lutnick’s vision for America’s “manufacturing renaissance”

Commerce Secretary Howard Lutnick on Thursday touted the use of robotics in his pitch for an American “manufacturing renaissance.”

The big picture: While President Trump’s tariffs are meant to boost American manufacturing and jobs, U.S. manufacturers will likely hurt from these tariffs, at least in the short run. Whether they lead to more jobs in the long term remains an open question.

What he’s saying: Lutnick made the case in several TV interviews this week that tariffs will bring jobs and factories back to the U.S., saying they’ll utilize robotics to make American workers “more efficient.”

Advancing neuroscience research with high-speed, automated electrophysiology

Understanding the electrical activity of neurons is key to unlocking insights into neurological diseases. Yale researchers have unveiled a high-throughput automated method that captures the electrical activity of large numbers of neurons simultaneously and without bias.

This cutting-edge approach provides a powerful “functional fingerprint” of neuron populations in their natural state, opening new doors to understanding and treating neurological diseases. The work was published June 13 in Nature Protocols.

The patch-clamp technique has long been a gold standard for studying the electrical activity of neurons, the fundamental units of the nervous system. However, the manual execution of this approach is slow and labor-intensive. Recent advances in robotic patch-clamp technologies have improved speed and efficiency, but they are limited to artificially grown neurons rather than neurons in their native unmanipulated state.

AI Uncovers Wild Spin of the Milky Way’s Supermassive Black Hole

Back in 2019, the Event Horizon Telescope (EHT) team revealed the first-ever image of a supermassive black hole in the galaxy M87. In 2022, they followed up with the iconic image of Sagittarius A at the heart of the Milky Way. While these images were groundbreaking, the data behind them held even deeper insights that were hard to decode.

Neural Networks Meet Black Hole Physics

Previous studies by the EHT Collaboration used only a handful of realistic synthetic data files. Funded by the National Science Foundation (NSF) as part of the Partnership to Advance Throughput Computing (PATh) project, the Madison-based CHTC enabled the astronomers to feed millions of such data files into a so-called Bayesian neural network, which can quantify uncertainties. This allowed the researchers to make a much better comparison between the EHT data and the models.