Toggle light / dark theme

Airbnb CEO Brian Chesky said that the digital home-share company will reap the benefits of artificial intelligence more than hotels, at least in the near term.

“The reason we know this is because AI is mostly changing… the digital world a lot faster than the physical world,” Chesky told reporters during a meeting in New York City on Tuesday. “Because we have more of a digital product, we can actually adapt and change faster.”

Chesky also said that hotels are not going to be different five years from now because of AI, but that Airbnb “will be transformed.”

From vehicle collision avoidance to airline scheduling systems to power supply grids, many of the services we rely on are managed by computers. As these autonomous systems grow in complexity and ubiquity, so too could the ways in which they fail.

Now, MIT engineers have developed an approach that can be paired with any , to quickly identify a range of potential failures in that system before they are deployed in the real world. What’s more, the approach can find fixes to the failures, and suggest repairs to avoid system breakdowns.

The team has shown that the approach can root out failures in a variety of simulated autonomous systems, including a small and large network, an aircraft collision avoidance system, a team of rescue drones, and a robotic manipulator. In each of the systems, the new approach, in the form of an automated sampling algorithm, quickly identifies a range of likely failures as well as repairs to avoid those failures.

This video explores what life would be like if we became a Type I Civilization. Watch this next video about the Technological Singularity: https://youtu.be/yHEnKwSUzAE.
🎁 5 Free ChatGPT Prompts To Become a Superhuman: https://bit.ly/3Oka9FM
🤖 AI for Business Leaders (Udacity Program): https://bit.ly/3Qjxkmu.
☕ My Patreon: https://www.patreon.com/futurebusinesstech.
➡️ Official Discord Server: https://discord.gg/R8cYEWpCzK

SOURCES:
https://www.futuretimeline.net.
• The Singularity Is Near: When Humans Transcend Biology (Ray Kurzweil): https://amzn.to/3ftOhXI
• The Future of Humanity (Michio Kaku): https://amzn.to/3Gz8ffA

SOURCES:
• Life 3.0: Being Human in the Age of Artificial Intelligence (Max Tegmark): https://amzn.to/3xrU351
• The Future of Humanity (Michio Kaku): https://amzn.to/3Gz8ffA
• The Singularity Is Near: When Humans Transcend Biology (Ray Kurzweil): https://amzn.to/3ftOhXI
___

💡 Future Business Tech explores the future of technology and the world.

Examples of topics I cover include:
• Artificial Intelligence & Robotics.
• Virtual and Augmented Reality.
• Brain-Computer Interfaces.
• Transhumanism.
• Genetic Engineering.

SUBSCRIBE: https://bit.ly/3geLDGO

AI tools are close to being able to do a host of dangerous things, like walking people through the mistakes they made during a failed attempt at making dangerous pathogens and guiding them to a better protocol. There needs to be a durable way to probe the ways these systems might be misused, even as newer and more powerful technologies are continuously released.

The people building the next iteration of AI technology are growing concerned with how lifelike the next generation of generative content has already become.

In an interview with Axios, an unnamed “leading AI architect” said that in private tests, experts can no longer tell whether AI-generated imagery is real or fake, which nobody expected to be possible this soon.

As the report continues, AI insiders expect this kind of technology to be available for anyone to use or purchase in 2024 — even as social media companies are weakening their disinformation policies and slashing the departments that work to enforce them.

How many years will pass before transformative AI is built? Three people who have thought about this question a lot are Ajeya Cotra from Open Philanthropy, Daniel Kokotajlo from OpenAI and Ege Erdil from Epoch. Despite each spending hundreds of hours investigating this question, they still still disagree substantially about the relevant timescales. For instance, here are their median timelines for one operationalization of transformative AI:

You can see the strength of their disagreements in the graphs below, where they give very different probability distributions over two questions relating to AGI development.

So I invited them to have a conversation about where their disagreements lie, sitting down for 3 hours to have a written dialogue. You can read the discussion below, which I personally found quite valuable.

I discovered this service through my public library and the Libby app. It also works through a university if you’re a student. Here is a documentary on AI, one of our favorite subjects or at least mine, and the rivalry been the USA and China.


FRONTLINE examines the promise and perils of artificial intelligence (AI); from fears about work and privacy to rivalry between the US and China.