Big Tech: too big to split

After losing a landmark antitrust case over its dominance in the search market, Google is now facing the real threat of a court-mandated breakup of the search giant. But on the heels of a flashy ‘Made by Google’ event showcasing new phones and AI features, Google is now more deeply integrated than ever – an ecosystem within search, cloud, streaming, hardware… and generative artificial intelligence is the thread tying it tightly together. It all means a potential breakup would be nearly impossible technically – and could hold true for other megacaps including Apple, Amazon and Meta, all of which are facing their own antitrust suits. This week on TechCheck, is big tech too big to split?

Blockchain Explained! How Does It Work? | Blum Academy

In this video, we provide a detailed overview of blockchain – a technology that is transforming our world not only in the realm of cryptocurrencies but also in various other fields. You will learn what blockchain is, how it works, and why it is so important. We discuss the history of blockchain, starting with the emergence of Bitcoin in 2009, and explore how technologies like smart contracts on Ethereum have revolutionized the blockchain ecosystem.

Generative AI is not the panacea we’ve been promised | Eric Siegel for Big Think+

Eric Siegel has been in the AI field since 1991. He’s “horrified” by the AI hype bubble, but not for the reason you may think.

Is generative AI the viral sensation we’ve been promised? Headlines are selling it as a panacea, but 30-year AI industry vet Eric Siegel says that’s mostly hype. It may be impressive and introduce efficiencies, but it won’t run the world as we’ve been promised.

Predictive AI, Siegel argues, holds all of the transformative potential that we’ve been guaranteed with generative AI and the LLMs that have become increasingly popular. While generative AI works on a low-level of detail and isn’t able to be trusted blindly, predictive AI is fully-autonomous, and can be implemented across a wide range of industries.

Here’s why Siegel thinks the actual potential lies with predictive modeling, and why we’re not going to replicate human intelligence in machines anytime soon.

Google DeepMind’s New AI Robot & AGI by 2027

Google DeepMind has developed an AI-powered robot capable of playing and winning ping pong matches against human opponents, demonstrating advanced machine learning techniques. Meanwhile, Boston Dynamics’ Atlas robot is showcasing its impressive strength and agility by performing human-like exercises such as push-ups and burpees. Additionally, scientists are working on a global network of supercomputers designed to accelerate the development of artificial general intelligence (AGI), aiming to create AI that can think and learn like humans.

OK. Now I’m Scared… AI Better Than Reality!

Flux is a new open-source AI image generator developed by Black Forest Labs, offering photorealistic images that are so lifelike, they’re being described as “better than reality.” With three different versions—Pro, Dev, and Schnell—Flux is accessible to a wide range of users, from developers to casual creators, and it can even run on modest hardware. As an emerging contender in the AI art world, Flux is gaining attention for its ability to produce highly realistic images, though it still has some minor imperfections like text rendering issues.