As technology grows more sophisticated, so does the potential for deception. Last month, images went viral that purported to show police arresting Donald Trump and the former president in an orange prisoner’s jumpsuit — but they were fakes. Jack Stubbs, vice president of intelligence at Graphika, a research firm that studies online disinformation, joins William Brangham to discuss.
Can Decentralization Save Humanity? – Why Smaller is Better in Politics
For most of history, small and decentralized political systems have been the norm.
Top 5 Batteries for Home (And One You Might Not Expect)
Adding solar panels to your home is a bright idea, but according to one report from 2020 only about 6% of installed residential solar systems included battery storage. That’s a bit of a power outage in the world of renewable energy. But with a home battery, you’ll be able to store energy like a squirrel stores nuts for the winter. Not to mention, you’ll be the coolest kid on the block with your Virtual Power Plant system. So, if you want to be the sunshine in your neighborhood, you should consider a home battery, but which one? Let’s take a look at the top 5 battery options on the market … and a couple of bonus alternatives to keep an eye on .. even for renters.
Quantum computing – Explained easily with some examples
Quantum computing is a fascinating topic with a lot of potential for breakthroughs in various fields. Here are some ideas for content on quantum computing for your YouTube channel:
Introduction to Quantum Computing: Start with an overview of what quantum computing is, how it works, and why it’s important. This could include a brief history of quantum computing, the basics of qubits, and how quantum computers differ from classical computers.
Applications of Quantum Computing: Explore the potential applications of quantum computing, including its use in cryptography, optimization problems, machine learning, and more. You can also discuss the current limitations of quantum computing and where researchers are focusing their efforts to overcome them.
Quantum Algorithms: Dive into some of the key quantum algorithms, such as Shor’s algorithm for factoring large numbers and Grover’s algorithm for searching unsorted databases. Explain how these algorithms work and why they are significant.
Quantum Hardware: Discuss the different approaches to building quantum computers, including superconducting qubits, trapped ions, and topological qubits. Explain the advantages and disadvantages of each approach and the progress that has been made in building larger and more stable quantum computers.
Quantum Error Correction: Explain the challenge of maintaining the fragile quantum state of qubits and how quantum error correction techniques can be used to mitigate errors and improve the reliability of quantum computers.
Quantum Cryptography: Explore the potential of quantum cryptography, including quantum key distribution and quantum-resistant cryptography. Discuss how quantum computing is changing the field of cybersecurity.
Future of Quantum Computing: Look ahead to the future of quantum computing and what breakthroughs we might expect to see in the next few years. Discuss the potential impact of quantum computing on various industries, including finance, healthcare, and energy.
Can AI kill the greenscreen?
The greenscreen is a staple of visual effects — and it may stick around even in the age of AI “magic.” The video above explains why.
It turns out that greenscreens, while imperfect, provide certain background separation benefits that are tough for AI to replicate due to the way it’s been trained and the limitations of available data. Preparation can help improve results, but this video shows why, ultimately, AI tools will remain one in a suite of options rather than a greenscreen killer.
How Generative AI Could Replace Artists in Creative Industries | Tech News Briefing | WSJ
The threat that technology will replace workers is something more people are grappling with due to the introduction of new tools powered by generative artificial intelligence. Creative workers like artists, writers, and filmmakers are among those raising the loudest alarm. But is their concern warranted? And what impact could AI have on the future workforce?
Join us for the third episode of our series “Artificially Minded” with host Zoe Thomas.
Virtual Production Explained — Is This The End of the Green Screen?
What is Virtual Production — an introduction to the latest filmmaking technology, including how virtual production works, the pros and cons, and why it may be here to stay.
Will AI Steal My Job? (Testing ChatGPT) || Peter Zeihan
Worried AI is going to steal your job and kick you to the curb? If you watched the video, you can probably see why I’m not worried about my job security. While AI is going to change the way we do a lot of things, it still needs some time before it’s cracking the kind of nuanced jokes I’m famous for.
Note: This video was recorded prior to the GPT-4 update
Killer Robots Coming? China’s AI Edge Over the USA
“China is Netflix and the U.S. is Blockbuster.” Insights on A.I. technology and the global future from the Director of the Bradley Center for Natural and Artificial Intelligence, Baylor University Professor Robert Marks.
The history and future of AI in 8 minutes | Oxford professor Michael Wooldridge
In his book “A Brief History of AI,” Michael Wooldridge, a professor of computer science at the University of Oxford and an AI researcher, explains that AI is not about creating life, but rather about creating machines that can perform tasks requiring intelligence.
Wooldridge discusses the two approaches to AI: symbolic AI and machine learning. Symbolic AI involves coding human knowledge into machines, while machine learning allows machines to learn from examples to perform specific tasks. Progress in AI stalled in the 1970s due to a lack of data and computational power, but recent advancements in technology have led to significant progress. AI can perform narrow tasks better than humans, but the grand dream of AI is achieving artificial general intelligence (AGI), which means creating machines with the same intellectual capabilities as humans. One challenge for AI is giving machines social skills, such as cooperation, coordination, and negotiation.
The path to conscious machines is slow and complex, and the mystery of human consciousness and self-awareness remains unsolved. The limits of computing are only bounded by imagination.