Trust and the AI boom
AI 'godfather' is quitting Facebook
Trust and the AI boom
AI ‘godfather’ is quitting Facebook
World Labs unveils world-generating AI model
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Trust and the AI boom
There is a soft underbelly of the AI boom. A deep sense of unease about the employment effects of the technology and a lack of understanding of the benefits to the average consumer. Developing markets such as Brazil and China are much more enthusiastic about AI than respondents in Germany, the UK, and U.S. Three times as many Americans reject the growing use of AI (49%) as embrace it (17%) while the Chinese are the mirror image, with almost 5.5x as many embracing AI (54%) as rejecting the technology (10%).
Technology (3.5 to 1) and Financial Services (1.5 to 1) employees embracing AI at work, those in Retail, Manufacturing and Healthcare ambivalent, while those in Education (1.5 to 1)Food (1.5 to 1)and Transportation reject it (2 to 1). There is a large Mass-Class Divide on AI in the Developed Markets, with 71% of the UK and 65% of the American bottom income quartile feeling they will be left behind rather than realize any advantages from gen AI. Importantly, half of the Middle- and nearly half of the High-Income American respondents also believe they will be left behind without realizing net gains from AI. Unsurprisingly, the youngest cohort is most supportive of AI; in the UK there is a 41-point difference between the 18-34 and the 55+ generations (59% trust in AI vs. 18%), though in the U.S. only 40% of the young generation trust AI.
The 2025 Edelman Trust Barometer Flash Poll: Trust and Artificial Intelligence at a Crossroads, conducted across five nations (Brazil, China, Germany, UK, U.S.), released today, shows that trust in AI is at an inflection point. In fact, in the three developed markets surveyed, acceptance of AI is linked to trust....
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AI ‘godfather’ is quitting Facebook
Professor Yann LeCun was being honoured along with six other recipients for his contributions to the field, which have been credited as advancing deep learning. But Mr LeCun is at odds with some of the AI world over the future of the generation-defining technology. Unlike his fellow AI godfathers Geoffrey Hinton and Yoshua Bengio, Prof LeCun has cast doubt on the idea AI might pose an existential threat to humanity. In 2023, he called such fears “preposterously ridiculous”. “Will AI take over the world? No, this is a projection of human nature on machines,” he told the BBC.
“LLMs are great, they’re useful, we should invest in them — a lot of people are going to use them,” said Yann LeCun, speaking at an event in Brooklyn Sunday night. “They are not a path to human-level intelligence. They’re just not. Right now, they are sucking the air out of the room anywhere they go — and so there’s basically no resources [left] for anything else. And so for the next revolution, we need to take a step back and figure out what’s missing from the current approaches.”
And now he is going all-in on his idea of “advanced machine intelligence” after announcing he is leaving his role as Meta’s chief AI scientist to start a new firm. Prof LeCun has suggested LLMs will be less useful in attempting to create AI systems that can match human intelligence.
Instead, he wants to pursue what he called “advanced machine intelligence”. It trains AI models primarily by using visual learning - trying to replicate how a child or a baby animal learns. That differs to LLMs, which are fed vast amounts of existing data, and then asked to generate a result based on the data and a prompt....
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World Labs unveils world-generating AI model
World Labs, the AI model developer cofounded by AI pioneer Fei-Fei Li, has released its 3D-space generating model, “Marble.” At the World Labs website, creators can now input text prompts, images, or videos of pieces of a real-world environment. Marble uses them to create full 3D environments, which can include interior spaces or expansive exterior ones.
Li describes world models as a “significant” evolution of the generative AI era. “The large world model is really a significant step towards unlocking AI’s capability,” a category she calls “spatial.” Spatial intelligence refers to a system’s ability to perceive, model, reason about, and take actions within physical or geometric space—similar to how humans or animals choose their actions based on their understanding of their surroundings.
This week, Li posted a sort of manifesto on Substack arguing that spatial intelligence is the next frontier in AI. For humans, she says, spatial intelligence of the physical world around us provides the scaffolding upon which we build our cognition. “Spatial intelligence will transform how we create and interact with real and virtual worlds—revolutionizing storytelling, creativity, robotics, scientific discovery, and beyond,” she writes. World Labs believes that endowing machines (including robots) with such “spatial intelligence” could be transformative for a number of industries in the coming years….