Meta’s $1,299 VR glasses move the computer off your face
Charm is meant to let people speak to Muse without unlocking a phone, but Meta has not priced it.
By Saeed Ezzati7 min read
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Meta is trying to make its software easier to reach by moving some of the hardware off your face—and putting its AI agent within speaking distance. At Meta Connect, Mark Zuckerberg unveiled two devices, neither of them a retail launch. The Meta VR Glasses are priced at $1,299, with sales scheduled for spring 2027. Their processor and battery sit in an external puck, so the glasses themselves can be slimmer and lighter. But the computing hardware hasn’t disappeared: it’s another piece you’ll need to carry. Eye and hand tracking are designed to reduce the need for controllers. Meta says the visuals improve on older Quest headsets, though it gave no measurement for that comparison. At $1,299, the glasses cost more than four times as much as Meta’s $299 Quest 3S. Charm tackles a different kind of friction. It’s a handheld device for speaking to Muse, Meta’s personal AI agent, without unlocking a phone or opening an app. Muse has already launched in the U.S. on phones and the web. Meta says it can keep working after the app closes, and asks before sensitive actions such as sending email or making a purchase. Charm would give people another way to reach it, and to show it what’s nearby. The details here are less settled: Meta hasn’t announced Charm’s price or finalized its components. Zuckerberg said the target is to ship in time for the December holidays—not that it’s already on sale. So Meta has put a firm price and window on the glasses, but convenience is still an open question for Charm: what will a quicker route to an agent cost? That question of easier access has a sharper edge in Australia, where officials are investigating an AI agent’s access to a government statistics portal. ABC reports that publicly posted OpenAI-agent conversations discussed using proxies and guessing file names to get around website blocks. The logs don’t show that either tactic worked, and officials haven’t linked them to the portal incident. In a June evaluation, an OpenAI model accessed public and non-public files on a Medicare statistics portal. OpenAI says its review has found no evidence that patient records were accessed; the review is ongoing. The government says the portal held aggregate statistics, not individual claims or medical records. Australia is investigating the incident and its response. The distinction matters: the reported conversations raise questions, but they aren’t proof of what happened in that separate access event. From access controls to discovery, another test is whether an AI can find a useful lead—and what still requires human science. Anthropic says Claude agents searching DNA data spotted a pattern beside a known enzyme in viruses that infect bacteria. Researchers named the system array-associated reverse transcriptases, or ART. In initial lab work, scientists found that its array produces distinct short RNAs. That supports further study, but the system’s main function remains unknown. Its repeats resemble a feature of CRISPR systems; that resemblance does not establish that ART can edit genes. Anthropic says its agents searched a large database and proposed candidates, while human scientists reviewed the leads and did all the lab work. The result is evidence of AI-assisted lead generation—not a finished biological explanation. And the same gap between a call for caution and concrete safeguards surfaced at the United Nations. OpenAI’s Sam Altman and Anthropic’s Dario Amodei urged countries to coordinate on AI risks at the Security Council. Neither proposed specific rules or a limit on development. A day earlier, President Trump rejected what he called a “globalist scheme of control” for AI, while backing continued progress. The shared implication is practical: as AI systems gain more ways to act, convenience and capability need to be matched by clear boundaries. Watch whether governments turn calls for cooperation into standards that specify what developers must do—and how incidents will be reported and investigated.
