Meta launches an open-weight AI model that runs on Macs
1:04 PM PDT · October 15, 2026
Meta has launched what it calls the “most capable” open-weight model in the United States. Dubbed Muse Spark Open, the model also has the distinction of having been designed to work with Macs.
The new model, which leverages 816 billion parameters and a 1 million token context window, claims to offer superior performance to other popular open weight models, according to evaluation results released by Meta on Thursday.
Muse Spark Open is natively multimodal and built for complex coding tasks and agentic labor. It has also been designed to run locally on Apple’s computers. However, you will still need a lot of power to run the model locally, with a requirement of at least 1 terabyte of RAM, per Engadget. The model will run best via the Mac Studio that comes equipped with the M5 Ultra chip.
Still, if you can muster the memory, Muse Spark Open may prove a significant work horse for coding and other desktop tasks. Meta says that it paired the model with Muse Code, its AI coding terminal, and deployed it to various agentic workflows, including coding fixes for a Mastodon client that included “bug fixes, new features, [and] full build.”
The company says it also deployed it in the service of running DaVinci Resolve, the high-end video editing software, revealing that the model was capable of reviewing and cropping footage.
Open-weight models provide a number of distinct industry advantages that aren’t afforded by closed and proprietary models. Open-weight models can be significantly more cost-efficient and can also offer transparency and flexibility that closed source models don’t allow.
Meta is making the new model available now through a number of different API platforms.
Amazon devices chief Panos Panay sees a future where AI devices replace the need to use apps
12:55 PM PDT · October 15, 2026
Amazon is placing its bets on ambient computing, not apps, as the future of personal AI.
Alongside the launch of the company’s new AI wearables from Bee, Panos Panay, who serves as Amazon’s SVP of Devices, Alexa & Leo, took the stage at TechCrunch Disrupt on Thursday to talk more in depth about where he sees personal computing headed.
“A lot of times, what you’re doing right now — what we all do right now — is we have to remember what we’re asking our tool to do for us,” Panay began, explaining that this is how we engage with our modern smartphones. “It’s like point, shoot, return,” Panay continued. “I think where we’re headed is a world [that] starts with ambient devices.”
By “ambient devices,” he means those that work quietly in the background, using sensors and AI to help you figure out what needs to be done, instead of the other way around, where you’re telling the device what you need to do.
“As it works in the background, you’re able to stay more present. You’re able to get more done. You’re about to spend more time with people … you’re not afraid if you miss something. It’s incredibly powerful,” Panay said.
Amazon’s biggest entry into this space is the set of new Bee devices it introduced on Thursday, which include a band you can wear on your wrist or detach to wear as a pendant, as well as a new credit-card-sized device that attaches magnetically to the back of your smartphone.
These gadgets passively record audio and take notes about your day, finding the to-dos, reminders, and insights you may later need to refer back to. To balance the need to be useful with user privacy, Bee’s devices don’t actually store the raw audio from your conversations; they process the audio in real time and then delete it when done. Transcripts of conversations are encrypted using keys that your device creates and controls. That means no one else, including Amazon employees, can access those files unless you intentionally share them.
Panay said that privacy was a key consideration for how these new ambient devices should work.
“You have to give customers that control,” he said. “Every product is different, but for Bee specifically, as an example in the ambient space like that, you have to design with privacy in mind. And that’s what we do. That’s critical.”
The executive, who came to Amazon after 19 years at Microsoft where he oversaw the development of Surface devices, has spent a lot of his life thinking about how personal computing will evolve. With Bee — and ambient computing more generally — Panay also envisioned a future where the idea of interacting with apps becomes less important, as more tasks are handled via AI.
“Do I think we have a future where there’s a bit of a balance — a whole generation that doesn’t say ‘give me the app’ for that, but says it should just understand what I need? Yeah, I do. I think that transformation is coming. I think that is the next generation,” he said.
That doesn’t necessarily mean the smartphone itself won’t continue to be an important personal computing device (as much as Amazon would like it to be an Alexa tablet or Echo smart speaker), Panay pointed out. Rather, he believes a new crop of devices will emerge that use sensors to understand users better, and to bring intelligence to the world around you.
“I’m not a proponent that says one form factor is going to replace another. I don’t think that’s the case,” he clarified. “I think there’s an intelligence layer that connects it all … and it has to be useful.”
