Lifeboat Foundation

The first reviews for Vision Pro are live, highlighting a ton of great, good and not-so-great things about Apple’s first mixed reality headset.

The $3,500 Vision Pro is set to launch on February 2nd, but it seems the first reviews are already out from a select number of outlets, including CNET, The Verge, The Wall Street Journal, and CNBC.

Continue reading “The First Apple Vision Pro Reviews Are Here” »

These quick EVs also happen to be among the fastest battery-electric cars out there.

A Delaware judge has voided Tesla CEO Elon Musk’s gargantuan $55 billion pay package following a lawsuit by shareholders claiming it was far too much wealth to award a single individual.

In a ruling this week, Delaware judge Kathaleen McCormick called the billionaire’s cushy compensation plan “an unfathomable sum,” arguing it was unfair to shareholders.

Uncontested, the decision could leave a massive gap in the net worth of the once richest man in the world, which could have a ripple effect on his other ventures, including SpaceX and his online echo chamber X-formerly-Twitter.

Our very old immune systems can’t keep up with modern lifestyles and diets, leading to increases in all sorts of chronic health problems like allergies and obesity.

Plutonium-pit secrets, growing up in parallel universes, the strange aftermath of a fictional wildfire, and more books out now.

In a recent study, researchers found a new way to change the physical properties of a specific protein known to be the culprit of about 75% of all human cancer cases. The researchers say the discovery could pave the way for future cancer treatments.

A neural network trained on the experiences of a single young child managed to learn one of the core components of language: how to match words to the objects they represent.

Human babies are far better at learning than even the very best large language models.

A new system helps robots navigate homes they’ve never seen before with a little help from open-source AI models.

Robots are good at certain tasks.

Google Maps is introducing a generative AI feature to help you discover new places, the company announced today.

Using large language models (LLMs), the new feature analyzes the over 250 million locations on Google Maps and contributions from over 300 million Local Guides to pull up suggestions based on what you’re looking for. For instance, if you want to find cool thrift shops in San Francisco, you can search “places with a vintage vibe in SF,” and Maps will generate shopping recommendations organized by categories, as well as “photo carousels and review summaries,” the company explains. The new feature is meant to feel more conversational than the ordinary search experience. If you ask a follow-up question like “How about lunch?” the AI will take your previous interest in vintage and find restaurants that meet the criteria, such as an old-school diner.

The company says the feature should be able to generate recommendations on even the most niche or specific query.