Tamagotchi Comeback? Muse Outruns ChatGPT’s Early Pace

Situation assessment: The frontier labs shipped their biggest models in the same week, but a consumer product took the headlines. According to TechCrunch AI, Meta’s personal AI agent Muse is reportedly growing faster than ChatGPT did in its early days. Meta also plans to bring Muse to smart glasses and to a small Tamagotchi-style device.

The timing is a big part of the story. TechCrunch AI reports that Anthropic released Opus 5.5 and that OpenAI followed with GPT-6 model updates just 90 minutes later. Two major launches landed almost on top of each other, and people still talked about Meta more.

🎯 What Happened

On TechCrunch’s Equity podcast, Kirsten Korosec, Anthony Ha and Sean O’Kane looked at Meta’s consumer AI strategy. Here are the key points:

  1. The model race is speeding up. Leaders at OpenAI and Anthropic have talked about “pacing the frontier.” This week showed what that pace looks like in practice: launches 90 minutes apart.
  2. Muse reportedly beats ChatGPT’s early numbers. ChatGPT set the benchmark for consumer AI growth in late 2022. It’s a big deal if any product is keeping up with it, and a bigger one when that product comes from a company many people counted out of the chatbot race.
  3. Muse is getting hardware. The agent is heading to smart glasses and to a tiny companion device modeled on the Tamagotchi, the 1990s digital pet that kids carried around and looked after.
  4. Other news came up too. The hosts also covered a16z’s new school for aspiring founders and two very different deals involving AI and hardware.

🧭 Why It Matters

What stands out here is the difference in strategy. OpenAI and Anthropic compete on model capability: benchmarks, reasoning and coding. Meta is competing for a place in people’s daily lives.

A Tamagotchi-style device makes that clear. You don’t carry a digital pet because it’s good at math. You carry it because it’s always with you and you’ve formed a habit around it. Meta seems to be betting that a personal agent works the same way, and that the winner will be the product people check in with dozens of times a day.

Meta has the pieces to make this work:

  • Distribution. It already reaches billions of people through its apps.
  • Hardware. Its smart glasses give it a device category most AI labs don’t have.
  • Patience. Meta has shown it will keep spending on consumer hardware for years before it pays off.

There’s one caveat. “Reportedly outpacing” is not an audited user number, and early growth doesn’t tell you how many people stick around. ChatGPT’s real achievement was keeping its users, not just signing them up. Muse still has to show it can do the same.

⚠️ Implications for Builders

The Equity crew also asked what this means for startups building on top of these models. Things look harder for them.

  1. Consumer AI companions are now a big-company fight. If Meta ships a personal agent on glasses and a dedicated device, standalone companion apps will be up against huge distribution.
  2. The model layer is changing faster than ever. When the top labs launch within 90 minutes of each other, anything built around one model’s specific strengths can go out of date quickly. Build so you can switch models easily.
  3. Hardware is back. The last wave of AI gadgets had a rough time. But the Muse device, the hardware deals covered on the podcast, and the pull toward wearables all suggest investors and big tech are giving the category another shot.
  4. The money is moving toward daily use. The hosts looked at which AI products might actually become part of people’s everyday lives. That’s where investors are paying attention now, more than raw capability.

🔭 What Comes Next

Expect OpenAI and Anthropic to answer with more consumer features, not just better models. Expect more startups to pitch themselves as the tools and infrastructure behind agents instead of competing with Meta directly. And keep an eye on whether Muse still holds up once the early excitement fades.

The frontier labs won the benchmarks this week, and Meta may have won people’s attention. The full conversation is available on TechCrunch’s Equity podcast.

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