It's been almost a year to the day since we last saw Jezza and co. toiling their green pastures. But when do Clarkson's Farm season 5 episodes 1-4 come to Prime Video?
AI content creation tools like Google's new Omni model threaten to make reality even harder to discern from AI fantasy, but YouTube is taking an important step toward verifying video origins. After debuting wishy-washy AI content labeling in 2024, Google will begin using more prominent labeling for AI videos, and the site will no longer rely entirely on uploaders to divulge when they use AI tools to create a video.
When YouTube first attempted to tackle the identification of AI videos in 2024, it was almost gratuitous. AI videos at the time nearly always outed themselves by looking bizarre or disjointed. In just a few years, AI models like Seedance, Runway, and Google's own Veo have raised the bar for realism and consistency in AI video—the spaghetti is more accurate than ever.
Recognizing that, YouTube is making the AI labels more prominent and automating part of the process. Creators are still required to indicate when uploading videos if they were created with the help of AI tools. However, uploaders didn't have any incentive to be honest about that before. Starting this month, YouTube will use "new internal signals" to flag AI content. This will apparently apply to videos that show "significant photorealistic AI use."
According to predictions from weather organizations across the planet, a super El Niño weather event is likely to begin over the next few weeks. It’s predicted to drive up temperatures across the globe, bringing increased chances of heatwaves, drought, wildfires, and even famines – plus, this year’s El Niño is likely to be stronger than usual, making those effects worse. Let’s take a look.
In this episode of Space Minds, David Ariosto talks with Lux Aeterna CEO Brian Taylor about the problems with disposable satellites and the use for on-orbit servicing. Sponsored by Arcfield […]
AI content creation tools like Google's new Omni model threaten to make reality even harder to discern from AI fantasy, but YouTube is taking an important step toward verifying video origins. After debuting wishy-washy AI content labeling in 2024, Google will begin using more prominent labeling for AI videos, and the site will no longer rely entirely on uploaders to divulge when they use AI tools to create a video.
When YouTube first attempted to tackle the identification of AI videos in 2024, it was almost gratuitous. AI videos at the time nearly always outed themselves by looking bizarre or disjointed. In just a few years, AI models like Seedance, Runway, and Google's own Veo have raised the bar for realism and consistency in AI video—the spaghetti is more accurate than ever.
Recognizing that, YouTube is making the AI labels more prominent and automating part of the process. Creators are still required to indicate when uploading videos if they were created with the help of AI tools. However, uploaders didn't have any incentive to be honest about that before. Starting this month, YouTube will use "new internal signals" to flag AI content. This will apparently apply to videos that show "significant photorealistic AI use."
When you try to combine quantum physics with Einstein’s theories, you quickly run into some pretty serious problems. The biggest is that causality – the order in which events occur – becomes uncertain as the rest of quantum physics. A group of physicists have leveraged that uncertainty, and are now claiming that they can send messages to the past using quantum mechanics. It’s not as crazy as it
Investors across the globe are putting record amounts of money into cold fusion technology, which promises to bring us nuclear fusion without the need to create miniature stars on Earth. But are these companies actually delivering, or is this just another speculative tech bubble? Let’s take a look.
Life on Earth has a peculiar property – many biological molecules have a handedness, or a “chirality.” DNA twists one way and not the other, and all the rest of life must fit to this reality. In a new paper, researchers say they know why: It all comes down to physics! The answer could change our understanding of life across the universe. Let’s take a look.
Generating electricity via nuclear fission is a great idea, at least in principle. But the risk of nuclear meltdowns causing mass destruction and long-lasting contamination isn’t appealing. Luckily, a crop of companies are looking to solve this problem by creating subcritical nuclear reactors, which generate power without ever making runaway nuclear reactions possible. Let’s take a look.
Current AI technology seems to be making decent progress despite concerns about it slowing over time. But while AI is slowly becoming more “intelligent”, the industry is running into another problem: energy supply. Let’s take a look at why energy is quickly becoming a major problem for progress in AI.
To this day, researchers don’t fully understand quantum physics. But in a new paper, physicists from MIT say that that’s okay – because the phenomena we use quantum physics to explain can actually be understood using classical physics. Really? Let’s take a look.
The biggest open problem in the foundations of physics is that Einstein’s theory of gravity, General Relativity, does not cooperate with quantum mechanics. Physicists have tried to solve this issue by coming up with a theory of quantum gravity, but those theories fall apart when you need them most – inside of black holes and at the Big Bang. Recently, though, physicists published a new
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