Serendipity35

In April, the makers of Claude shared that the company's new AI model (Mythos 5) was too dangerous to release to the public. Weeks later, thanks to some tweaks, the new model (called Fable 5) was released to the public. Now, it has been announced that "Anthropic has suspended its powerful new AI model after US authorities raised security concerns just days following its public release."

I find some irony in these AI names. Mythos and Fables indeed.

MORE    Anthropic's Claude Fable 5 and Mythos 5 AI suspended over security fears  

 

David Pogue on Substack writes that "When you do a Google search these days, you generally see an AI Overview panel above the search results. It’s intended to summarize the answers to your query, so you don’t have to click any links. The first problem: By Google’s own calculations, the AI Overviews are incorrect 28% of the time. The bigger problem: AI is an environmental disaster. It’s already a monstrous energy hog, and its appetite is doubling every six months."

 He gives some data about this data center power situation:

• 4,200 data centers that AI companies have built and 1,500 more are going up as you read this
• By 2030, AI will consume 945 terawatt-hours of electricity. That is enough to power every household in California, Texas, Florida, New York, Ohio, and Pennsylvania combined. Almost incomprehensible.
• 60% of that power will come from polluting power sources.
• Don’t care about the environment? How about your power bill? AI’s power needs have driven up electricity costs as much as 15% in the last year, with another 8.5% hike coming by the end of 2026.
• Add in more rolling blackouts during heat waves this summer.

But it’s not just Google, because almost every big company is eager to add AI to their products.

Pogue's note of hope is that a few people, like Sheila Morovati, are trying to make AI optional. Morovati is the founder and president of a nonprofit called HabitsofWaste.org. Her movement is called Opt-In AI with a goal of no AI at all unless someone asks for it. The default setting should be the most sustainable and least annoying option.

More at Rise Up, People! Make AI Optional! - David Pogue

The headline reads "YouTube will now automatically label AI videos." But the question is HOW will they do that?

Via YouTube's blog, we find that since 2024, they have been labeling content when creators disclose they've used AI tools. 

"Starting in May 2026, we’re rolling out new internal signals to help identify AI-generated content. If a creator doesn’t specify whether or not they used AI, but our systems detect significant photorealistic AI use, we will now automatically apply a label. As this technology continues to improve, creators remain in control. If a creator thinks their content was incorrectly identified as AI-generated, they can update the disclosure status in YouTube Studio. 
However, disclosures will remain permanent in a handful of cases, including: 
Content created using YouTube’s own AI tools, like Veo or Dream Screen. 
Content containing C2PA metadata indicating they were fully generative AI.
These changes are designed to balance transparency with creator control. It’s important to note that a disclosure label alone does not change how a video is recommended or whether it’s eligible to earn money."

In addition to its policing of AI content, the company has been investing in AI for things like its interactive search feature, Ask YouTube, a playlist generator for YouTube Music, AI video summaries, and other generative AI creation tools.

 

Of course, there is a YouTube video about this.

It is difficult to keep up with AI advances and new tools. Recently, I have seen the term "superintelligence" being used and I had to look for a definition.

In AI terms, there are three kinds of intelligence. "Artificial Narrow Intelligence" is what we have now. It is "superhuman" at specific tasks like playing Go or translating languages. ChatGPT, Gemini, CoPilot and Meta AI, et al fit in there at the moment.

"Artificial General Intelligence (AGI)" is human-level across the board and can learn anything a person can learn. We’re not quite there yet as of May 2026.

"Artificial Superintelligence (ASI)" is far beyond human level. Philosopher Nick Bostrom popularized the term: and defined it as “any intellect that greatly exceeds the cognitive performance of humans in virtually all domains of interest.”

ASI is what people worry about — or get excited about — when talking about advanced AI. But AGI isn't quite the same as superintelligence. With AGI, you clone the best human brain in software, but with superintelligence that clone keeps upgrading itself until it’s as far beyond us. 

Two new tools are moving closer to the next level.

Google has released TurboQuant, a new compression method that makes AI models cheaper to run and faster to respond. In Google’s reported tests, it reduced the key-value cache, the model’s short-term working memory while it responds, by at least 6x and improved performance by up to 8x on H100 chips, Nvidia’s high-end AI processors used in data centres, while keeping benchmark performance, or standard test performance, close to the original model. That is a serious technical result with a clear business consequence: one of the biggest cost pressures in modern AI may begin to ease. For the past two years, the default logic has been simple. The best AI stayed in the cloud because that is where companies could absorb the cost of running it. TurboQuant starts to weaken that logic.

Meta TRIBE v2 is a foundation AI model that acts like a “digital twin” of the human brain. In plain terms, it’s an AI trained on real brain scan data so it can predict how a person’s brain will respond to things they see, hear, or read. It takes in video, audio, and text, then maps that to about 70,000 areas of the brain to simulate neural activity.  Meta itself says that you can think of it as Meta teaching an AI to “think” more as humans do, by learning directly from brain responses instead of just internet text.

Where did I get information anout Meta's products and path? From their own Muse Spark. That is Meta’s latest (well, as of today) AI assistant model.