👓 Meta’s glasses don’t just watch, they think

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Zuckerberg’s smart glasses are back

Meta just dropped its latest line of AI-powered smart glasses at its annual Connect event. The tech is ambitious, the price tag is high, and the stakes are even higher.

Here’s everything you need to know:

• The new Meta Ray-Ban Display glasses feature a full-color screen in one lens and a 12MP camera.

• They pair with a “neural wristband” that lets you send messages using small hand gestures.

• Starting at $799, this is Meta’s priciest wearable yet hundreds more than previous versions.

• A sportier version, the $499 Oakley Meta Vanguard, targets athletes and outdoor users.

• Meta has sold 2 million pairs of smart glasses since entering the market in 2023.

• Analysts say this form factor is more promising than bulky VR headsets but adoption will be slow.

• Meanwhile, Meta faces protests and Senate scrutiny over alleged harms to children on its platforms.

This isn’t just a gadget drop, it’s Meta’s moonshot to stay relevant in a world moving fast toward AI. Smart glasses might feel like a novelty now, but if they become the gateway to hands-free computing, this launch could age well. Still, the price tag, privacy concerns, and public trust make this a steep hill to climb.

AI is learning to forecast disease before symptoms

A new AI model developed in Europe can now estimate your risk of more than 1,200 diseases not someday, but years before they happen.

Here’s everything you need to know:

• The tool, Delphi-2M, analyzes patterns in health records like an AI version of a weather forecast.

• It can say there’s a 30% risk of a heart attack next year, not the exact date, but the probability.

• It’s most accurate with conditions that develop gradually, like heart disease, diabetes, and sepsis.

• Built from UK Biobank data, it was successfully tested on nearly 2 million health records in Denmark.

• Doctors could use it to offer earlier treatment or lifestyle advice, personalized to your predicted risks.

• It may also help hospitals plan, for example, estimating future demand for heart care in a city.

• The model isn’t clinical yet, and it needs more testing especially across diverse populations.

Predictive healthcare has always been a dream now it’s creeping into reality. AI models like Delphi-2M won’t replace doctors, but they may help them get ahead of disease in ways we’ve never seen. The challenge isn’t the tech anymore, it’s trust, regulation, and whether we’ll use these forecasts to actually change course.

Huawei’s new AI chip cluster could shake up the global race

Huawei is doubling down on chip tech, unveiling a massive new AI computing platform designed to rival Nvidia and potentially bypass U.S. sanctions in the process.

Here’s everything you need to know:

• The new SuperPod system links up to 15,488 Huawei Ascend AI chips in a single cluster.

• It powers Huawei’s supercomputer, now operating with around 1 million graphic cards.

• This isn’t a chip breakthrough, it’s a scale play. Cluster-based computing is how Huawei compensates for weaker per-chip performance.

• U.S. sanctions have cut China off from Nvidia’s best hardware and Huawei is stepping in to fill the gap.

• Beijing has recently discouraged companies from using Nvidia’s AI-focused chips, including the H20 and RTX Pro 6000D.

• Domestic firms like Baidu, Alibaba, and Cambricon are also making big moves in homegrown chip development.

• Investors are noticing: Chinese AI chip stocks have surged in recent weeks.

Huawei’s not winning on single-chip power but it doesn’t need to. Its cluster-first approach is a smart workaround in a constrained environment. If China can scale this fast and build out its software ecosystem, we could see a real alternative to Nvidia emerge not overnight, but sooner than many expect.

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