Meta says Muse was built from the ground up for privacy, and OpenAI wants Dots to set a new standard for privacy in frontier AI. We test those AI agent privacy promises against each company’s own documentation, Instinct’s revised terms, a month of Muse incidents and the UK ICO’s new scrutiny of AI agents, and set out what businesses should check before connecting an agent to their data.
The Verge’s hands-on review finds Instinct, the text-message AI agent valued at $10 billion, holds its own against Meta’s Muse and OpenAI’s Dots on everyday tasks. We score the review’s tests, compare the three agents on interface, reach and price, examine the Instinct Selections backlash and Instinct’s unchanged legal pages, and set out four ways the contest could end, plus what businesses should do as customers start sending agents instead of people.
The Verge’s Decoder asked whether you can trust Meta’s Muse or OpenAI’s Dots to run your life. We check Nilay Patel and Hayden Field’s arguments against what Meta and OpenAI have published: free versus paid, the data Muse collects on the people you know, the permission prompts behind recent failures, Zuckerberg’s plan to take a fee from transactions, the summer’s agent breaches and lock-in, then turn it into a practical test for what to connect.
In a WIRED test, OpenAI’s always-on Dots agent got its user’s name wrong, misheard a mumble and replied “I love you too”, then failed a captcha it asked permission to solve. We set out what happened, what Dots are and cost, what OpenAI’s Model Spec says about emotional closeness and agent scope, how Dots compare with Meta’s Muse, and what businesses should learn.
Personal AI agents like Muse, Instinct and Dots can book and buy for you, but websites keep turning them away. We map who is blocking agents and why, explain the Cloudflare default change behind some accidental blocks, look at Meta’s new Personal Agent Protocol, and give site owners a framework to block, verify or welcome agents.
Instinct, the $10 billion personal AI agent, can now join group chats, even with friends who have never signed up. We explain its two-agent permission model, what its terms say about non-users and group purchases, how it compares with ChatGPT and Meta AI, and practical rules for families and teams.
Apple has warned developers that AI agents make macOS Full Disk Access far riskier and promised new controls that require very explicit user action. We explain what the permission unlocks, why agents change the risk, the Meta Muse dispute that preceded the notice, and the steps Mac users and IT teams should take now.
OpenAI’s Dots agents launched at DevDay as a direct challenge to Meta’s Muse, but Dots needs a $100-plus ChatGPT plan while Muse is free for most uses. We compare the two agents on price, purpose, safety and reach, correct a pricing detail in the coverage, explain the economics behind OpenAI’s choice, and set out what it means for UK users and businesses.
Muse, Dots and Instinct made consumer AI look hot again, but payment data says only 2% to 3% of US households pay for AI while a Menlo survey says 55% of users do. We reconcile the sources, correct a Netflix comparison that does not add up, explain why running costs are the real problem and compare how Meta, OpenAI, Instinct and Anthropic plan to make money.
Dots by OpenAI reached AIxploria less than 15 hours after DevDay. We checked the card against OpenAI’s launch post, help centre and safety post: most claims hold, but it tags a paid-only agent as Freemium, mixes personal and specialist dots, shares its rank badge with Meta’s Muse and misses the UK route through Business Premium.
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