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Meta’s new AI model MUSE isn't as new as you think. Hidden deep inside the codebase lies a forgotten original codename: "HATCH". This isn't just a fun piece of developer trivia—it reveals the exact moment Meta quietly shifted its AI strategy to take over the industry. When Meta first started committing code for "HATCH," the goal was simple: build a stealth foundation for next-gen generative media away from public scrutiny. As the project evolved, the stakes got higher. The internal pivot from HATCH to MUSE marked the transition from a hidden experiment to a full-scale deployment designed to dominate multimodal AI. Developers left behind digital breadcrumbs in the commits, variable names, and repository references. A living paper trail of Meta's secret AI roadmap sitting right under everyone's noses. The biggest tech breakthroughs rarely start with flashy keynote announcements. They start as quiet, unnamed codebases buried in public repos waiting for someone to notice. #Meta #AI #MUSE #TechNews #Coding
Meta’s new AI model MUSE isn't as new as you think.
Hidden deep inside the codebase lies a forgotten original codename: "HATCH".
This isn't just a fun piece of developer trivia—it reveals the exact moment Meta quietly shifted its AI strategy to take over the industry.
When Meta first started committing code for "HATCH," the goal was simple: build a stealth foundation for next-gen generative media away from public scrutiny.
As the project evolved, the stakes got higher. The internal pivot from HATCH to MUSE marked the transition from a hidden experiment to a full-scale deployment designed to dominate multimodal AI.
Developers left behind digital breadcrumbs in the commits, variable names, and repository references. A living paper trail of Meta's secret AI roadmap sitting right under everyone's noses.
The biggest tech breakthroughs rarely start with flashy keynote announcements. They start as quiet, unnamed codebases buried in public repos waiting for someone to notice.
#Meta #AI #MUSE #TechNews #Coding
🚨 AI COMPETITION IS HEATING UP! 🤖🔥 Muse is making waves after reportedly overtaking ChatGPT as the #1 free iOS app, according to the image. 🏆📱 This highlights just how quickly the AI landscape is changing. Muse is positioning itself as more than a traditional chatbot, with features focused on getting things done, managing tasks, faster research, and acting as a personal AI agent. ⚡ Meanwhile, ChatGPT remains one of the most recognized AI apps worldwide. 🌍 The bigger picture? AI adoption is accelerating, and competition between AI platforms is getting stronger every day. 🚀 More users, more innovation, and more powerful AI tools could be ahead. The AI race is only getting started. 👀🔥 #AI #Muse #ChatGPT #Binance #Tech
🚨 AI COMPETITION IS HEATING UP! 🤖🔥
Muse is making waves after reportedly overtaking ChatGPT as the #1 free iOS app, according to the image. 🏆📱
This highlights just how quickly the AI landscape is changing. Muse is positioning itself as more than a traditional chatbot, with features focused on getting things done, managing tasks, faster research, and acting as a personal AI agent. ⚡
Meanwhile, ChatGPT remains one of the most recognized AI apps worldwide. 🌍
The bigger picture? AI adoption is accelerating, and competition between AI platforms is getting stronger every day. 🚀
More users, more innovation, and more powerful AI tools could be ahead.
The AI race is only getting started. 👀🔥
#AI #Muse #ChatGPT #Binance #Tech
#museovertakeschatgptastopfreeiosapp 🚨 MUSE JUST OVERTAKES CHATGPT! 🤯 Meta’s new AI agent Muse has taken the #1 spot on the U.S. App Store’s free iPhone chart, pushing ChatGPT out of the top position. 🔥 Muse is gaining attention because it focuses on AI agents that can actually perform tasks, not just answer questions. 📈 AI competition is heating up fast! The big question: Is this the beginning of a new AI app battle? 👀 keeps #1 takes back #1 🔴 Another AI app takes over VOTE BELOW 👇 #MUSE #chatgpt #AI
#museovertakeschatgptastopfreeiosapp
🚨 MUSE JUST OVERTAKES CHATGPT! 🤯
Meta’s new AI agent Muse has taken the #1 spot on the U.S. App Store’s free iPhone chart, pushing ChatGPT out of the top position.
🔥 Muse is gaining attention because it focuses on AI agents that can actually perform tasks, not just answer questions.
📈 AI competition is heating up fast!
The big question: Is this the beginning of a new AI app battle? 👀
keeps #1
takes back #1
🔴 Another AI app takes over
VOTE BELOW 👇
#MUSE #chatgpt #AI
🟢 MUSE
100%
🟡 ChatGPT
0%
🔴 Another AI
0%
1 votes • Voting closed
Article
Meta Muse Could Be A Bigger Threat To OpenAI, Anthropic Than Expected, Says Top Tech AnalystMeta Platforms Inc.’s Muse could pose a bigger strategic threat to frontier AI labs such as OpenAI and Anthropic than previously estimated, according to Stratechery analyst Ben Thompson. In his latest column, Thompson called Muse “by a significant margin, the best and most approachable personal agent product I have tried.” His key observation: Meta’s Muse Spark 1.3 model is not state-of-the-art, yet it is capable of powering a compelling AI agent. META stock was up 0.5% in early premarket trading on Tuesday. Why Muse Matters Thompson believes personal agents could have a much stronger moat than chatbots. Once users feed an agent their information and incorporate it into everyday life, switching to another service becomes considerably harder. “Model capability is good enough that compelling products — products that actually have moats — can now be built,” he wrote.That could challenge the strategy of frontier labs, which have invested heavily in building increasingly powerful models while moving toward owning the user interface and applications built on top of them. Thompson also argued that the AI industry is moving toward a separation between models and “harnesses” — the software layer that turns a model into a useful agent. OpenAI’s Codex and ChatGPT and Anthropic’s Claude Code are examples of this agentic approach, but their coding artifacts can ultimately be used with competing models. Agents Are Becoming The Battleground The argument comes as AI agents emerge as the industry’s next major battleground. OpenAI and Anthropic have both pushed agentic tools that can perform multi-step tasks, particularly coding and computer-use workflows Thompson previously argued that agentic AI is powerful enough to justify enormous demand for computing infrastructure. But Muse suggests the value may increasingly accrue to whoever owns the end-user product, rather than whoever has the most capable underlying model. Traders Watch Meta’s AI Push Meta shares rose over 11% on Monday – adding nearly $200 billion in market capitalization – after reports said the Muse app topped download charts for iPhone and Android in the U.S. Muse can handle multi-step tasks, including browsing websites, filling forms and carrying out actions on users’ behalf. The launch has also triggered pushback from platforms, with Amazon blocking Muse from accessing its site On Stocktwits, the retail sentiment for META was ‘extremely bullish’ on early Tuesday.  Monday’s move in META is “on early signs its AI agent is working. A week ago the stock was priced on whether AI development would slow down. This is what repricing expectations looks like. The agent barely generates revenue yet. The market moved on what it might become,” said a trader. Muse Could Give Meta A Deeper Read On Users Muse could give Meta a far richer understanding of users’ interests and behavior, potentially strengthening its advertising and recommendation systems. Instagram head Adam Mosseri recently said Meta’s systems have historically relied heavily on signals such as what users like and what other people with similar interests engage with. “Now, only now are we actually getting as sophisticated as I think people have assumed we’ve been for many years,” Mosseri had said during Lenny’s Podcast in July. That could change further as users spend more time with personal AI agents such as Muse, which can remember conversations, preferences and details about users’ lives.  $METAB {spot}(METABUSDT) $QQQB {spot}(QQQBUSDT) $GOOGLB {spot}(GOOGLBUSDT) #muse #AI #

Meta Muse Could Be A Bigger Threat To OpenAI, Anthropic Than Expected, Says Top Tech Analyst

Meta Platforms Inc.’s Muse could pose a bigger strategic threat to frontier AI labs such as OpenAI and Anthropic than previously estimated, according to Stratechery analyst Ben Thompson.
In his latest column, Thompson called Muse “by a significant margin, the best and most approachable personal agent product I have tried.” His key observation: Meta’s Muse Spark 1.3 model is not state-of-the-art, yet it is capable of powering a compelling AI agent.
META stock was up 0.5% in early premarket trading on Tuesday.
Why Muse Matters
Thompson believes personal agents could have a much stronger moat than chatbots. Once users feed an agent their information and incorporate it into everyday life, switching to another service becomes considerably harder.
“Model capability is good enough that compelling products — products that actually have moats — can now be built,” he wrote.That could challenge the strategy of frontier labs, which have invested heavily in building increasingly powerful models while moving toward owning the user interface and applications built on top of them.
Thompson also argued that the AI industry is moving toward a separation between models and “harnesses” — the software layer that turns a model into a useful agent. OpenAI’s Codex and ChatGPT and Anthropic’s Claude Code are examples of this agentic approach, but their coding artifacts can ultimately be used with competing models.
Agents Are Becoming The Battleground
The argument comes as AI agents emerge as the industry’s next major battleground. OpenAI and Anthropic have both pushed agentic tools that can perform multi-step tasks, particularly coding and computer-use workflows
Thompson previously argued that agentic AI is powerful enough to justify enormous demand for computing infrastructure. But Muse suggests the value may increasingly accrue to whoever owns the end-user product, rather than whoever has the most capable underlying model.
Traders Watch Meta’s AI Push
Meta shares rose over 11% on Monday – adding nearly $200 billion in market capitalization – after reports said the Muse app topped download charts for iPhone and Android in the U.S.
Muse can handle multi-step tasks, including browsing websites, filling forms and carrying out actions on users’ behalf. The launch has also triggered pushback from platforms, with Amazon blocking Muse from accessing its site
On Stocktwits, the retail sentiment for META was ‘extremely bullish’ on early Tuesday.
Monday’s move in META is “on early signs its AI agent is working. A week ago the stock was priced on whether AI development would slow down. This is what repricing expectations looks like. The agent barely generates revenue yet. The market moved on what it might become,” said a trader.
Muse Could Give Meta A Deeper Read On Users
Muse could give Meta a far richer understanding of users’ interests and behavior, potentially strengthening its advertising and recommendation systems.
Instagram head Adam Mosseri recently said Meta’s systems have historically relied heavily on signals such as what users like and what other people with similar interests engage with. “Now, only now are we actually getting as sophisticated as I think people have assumed we’ve been for many years,” Mosseri had said during Lenny’s Podcast in July.
That could change further as users spend more time with personal AI agents such as Muse, which can remember conversations, preferences and details about users’ lives.
$METAB
$QQQB
$GOOGLB
#muse #AI #
📰 Meta’s AI agent Muse climbed to #1 on the U.S. App Store’s free chart within 10 days. Even more astonishing: the hype also reached the capital markets. Meta jumped 11.4% in a single day, with its market value increasing by about $192.3 billion, and AMD’s market cap also surpassed $1 trillion for the first time. 🔥 The smartest part of Muse may not be “being able to operate a computer,” but rather that it tells users upfront: it can help you get your money back. Refunds, unused subscriptions, insurance bills—these are things ordinary people instantly understand, and they’re easier to share than benchmark scores. Meta also drove adoption through a “save-money challenge.” While some cases came from employees, it still gave users a clear reason to try it right away. 💡 Technically, Muse keeps the AI running in a cloud-based virtual machine so tasks can continue even after the user turns off their phone. It can open webpages and fill out forms; once started, the task can keep running. Personal data, account credentials, and the execution program are managed separately, and an approval-and-permissions mechanism controls what it can do externally. It sounds more secure, but the real-world security impact still needs to be proven through actual use. In fact, these capabilities don’t appear out of thin air. In China, AutoGLM, Doubao Phone, and Qianwen have all done cloud computers, phone control, or API integrations. What really creates the gap for Muse might be the WhatsApp entry point, free compute, and a product reason that’s straightforward enough—“help me save money.” 🤔 Honestly, it’s no longer surprising for an AI assistant to be able to make coffee. The hard part is getting ordinary people to hand it a few real-life tasks every day. Do you think “help users save money” can become the entry point that truly makes personal Agents go mainstream? #AI智能体 #Meta #Muse #Web3观察
📰 Meta’s AI agent Muse climbed to #1 on the U.S. App Store’s free chart within 10 days. Even more astonishing: the hype also reached the capital markets. Meta jumped 11.4% in a single day, with its market value increasing by about $192.3 billion, and AMD’s market cap also surpassed $1 trillion for the first time.

🔥 The smartest part of Muse may not be “being able to operate a computer,” but rather that it tells users upfront: it can help you get your money back. Refunds, unused subscriptions, insurance bills—these are things ordinary people instantly understand, and they’re easier to share than benchmark scores. Meta also drove adoption through a “save-money challenge.” While some cases came from employees, it still gave users a clear reason to try it right away.

💡 Technically, Muse keeps the AI running in a cloud-based virtual machine so tasks can continue even after the user turns off their phone. It can open webpages and fill out forms; once started, the task can keep running. Personal data, account credentials, and the execution program are managed separately, and an approval-and-permissions mechanism controls what it can do externally. It sounds more secure, but the real-world security impact still needs to be proven through actual use.

In fact, these capabilities don’t appear out of thin air. In China, AutoGLM, Doubao Phone, and Qianwen have all done cloud computers, phone control, or API integrations. What really creates the gap for Muse might be the WhatsApp entry point, free compute, and a product reason that’s straightforward enough—“help me save money.”

🤔 Honestly, it’s no longer surprising for an AI assistant to be able to make coffee. The hard part is getting ordinary people to hand it a few real-life tasks every day. Do you think “help users save money” can become the entry point that truly makes personal Agents go mainstream?

#AI智能体 #Meta #Muse #Web3观察
META JUST TURNED AI INTO A SUBSCRIPTION BUSINESS. Meta has just launched Muse, an AI agent that can automatically browse the web, fill out forms, shop, and carry out tasks on users’ behalf. 3 tiers: 🆓 Free: 100M tokens/week ⚡ Power: $20/month, 500M tokens/week 🧠 Maximum: $100/month, 3B tokens/week Goldman Sachs maintains a Buy rating for $META and a price target of $725, versus $648.03 at the time of the report—an upside of about 11.9%. What Goldman likes isn’t just the chatbot. Muse is taking AI from: “Ask me anything” → “Give me a task, I'll do it.” Meta has an enormous distribution advantage through Facebook, Instagram, Messenger, and WhatsApp—something independent AI startups find very hard to replicate. Meta: “AI assistant.” Muse: “I’ll do the shopping too.” User: “...wait, you’re actually doing it?” 💀 But the risks still lie in privacy and reliability when AI performs real transactions. Reuters also reported that Muse ran into issues with reliability and security during its development. AI chatbots are old news. New AI agents are the game. Will Muse become an AI product that turns Meta from an attention company → an agentic AI company? #meta #AI #MUSE $METAB {spot}(METABUSDT)
META JUST TURNED AI INTO A SUBSCRIPTION BUSINESS.

Meta has just launched Muse, an AI agent that can automatically browse the web, fill out forms, shop, and carry out tasks on users’ behalf.

3 tiers:
🆓 Free: 100M tokens/week
⚡ Power: $20/month, 500M tokens/week
🧠 Maximum: $100/month, 3B tokens/week

Goldman Sachs maintains a Buy rating for $META and a price target of $725, versus $648.03 at the time of the report—an upside of about 11.9%.

What Goldman likes isn’t just the chatbot.

Muse is taking AI from:
“Ask me anything” → “Give me a task, I'll do it.”
Meta has an enormous distribution advantage through Facebook, Instagram, Messenger, and WhatsApp—something independent AI startups find very hard to replicate.

Meta: “AI assistant.”
Muse: “I’ll do the shopping too.”
User: “...wait, you’re actually doing it?” 💀

But the risks still lie in privacy and reliability when AI performs real transactions. Reuters also reported that Muse ran into issues with reliability and security during its development.

AI chatbots are old news. New AI agents are the game.

Will Muse become an AI product that turns Meta from an attention company → an agentic AI company?

#meta #AI #MUSE
$METAB
📰 Meta chief artificial intelligence officer Alexandr Wang revealed that Muse’s early usage volume has already exceeded expectations. The most direct figure is this: Muse users’ usage is now 10 times that of the test group users. Frankly, this gap is a bit unreal—not a slight overage, but a full order of magnitude. 🔥 Of course, early data doesn’t equal the final outcome, since the usage habits of the test group and official users may differ. But at least based on the feedback so far, Muse really has captured a segment of users—otherwise it would be hard to see a 10x usage gap. 💡 What I’m curious about is what this “usage volume” actually represents: does it mean more frequent calls, or more people continuing to stick around and use it? If both are true, then it’s not just a quick first taste. 🤔 Do you think Muse’s early hype can last? #Muse #Meta #人工智能 #AI
📰 Meta chief artificial intelligence officer Alexandr Wang revealed that Muse’s early usage volume has already exceeded expectations.

The most direct figure is this: Muse users’ usage is now 10 times that of the test group users. Frankly, this gap is a bit unreal—not a slight overage, but a full order of magnitude.

🔥 Of course, early data doesn’t equal the final outcome, since the usage habits of the test group and official users may differ. But at least based on the feedback so far, Muse really has captured a segment of users—otherwise it would be hard to see a 10x usage gap.

💡 What I’m curious about is what this “usage volume” actually represents: does it mean more frequent calls, or more people continuing to stick around and use it? If both are true, then it’s not just a quick first taste.

🤔 Do you think Muse’s early hype can last?

#Muse #Meta #人工智能 #AI
”When nobody cares“, $META released Muse from the announcement. The stock price has already risen by over 20%, breaking through the early-year high of $744. #Muse {future}(METAUSDT)
”When nobody cares“, $META released Muse from the announcement. The stock price has already risen by over 20%, breaking through the early-year high of $744. #Muse
FOMO港美股
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Meta launches Muse: turning personal Agents into a product that regular people can use right out of the box

Unlike ChatGPT-style assistants that focus on “conversation,” Muse’s core is direct task handling: it can send emails, schedule trips, fill out forms, and shop online—working in the background even after you close the app. It’s more like a long-term personal assistant that follows you, able to remember preferences—for example, converting a recipe you saved on Instagram into a shopping list with one click. It will also be connected to AI glasses later on. For security, Muse runs on isolated cloud virtual machines; passwords and payment information aren’t directly given to the Agent, and high-risk actions require separate confirmation.

$METAB $META #meta
#MuseOvertakesChatGPTAsTopFreeIOSApp 🚨 AI APP RANKING SHOCK! 🤯🔥 #MuseOvertakesChatGPTAsTopFreeIOSApp Muse has reportedly overtaken ChatGPT to become the #1 free app on the iOS App Store. 📱🏆 The AI competition is getting hotter! 🔥 With more users exploring new AI tools, the race for the top spot is becoming more interesting every day. 👀 Is this the beginning of a new AI leader? #AI #MUSE #ChatGPT #artificialintelligence #Tech #AIAssistant #Crypto
#MuseOvertakesChatGPTAsTopFreeIOSApp
🚨 AI APP RANKING SHOCK! 🤯🔥

#MuseOvertakesChatGPTAsTopFreeIOSApp
Muse has reportedly overtaken ChatGPT to become the #1 free app on the iOS App Store. 📱🏆
The AI competition is getting hotter! 🔥
With more users exploring new AI tools, the race for the top spot is becoming more interesting every day.

👀 Is this the beginning of a new AI leader?
#AI #MUSE #ChatGPT #artificialintelligence #Tech #AIAssistant #Crypto
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Bullish
🤖 Meta is pushing AI into a new phase Its personal agent, Muse, logged about 730 thousand downloads in the United States in 10 days, surpassing ChatGPT, Grok, and Claude in downloads over the same period, according to Sensor Tower data reported by CNBC. But the number that matters most to me isn’t downloads—it’s the trend: AI is shifting from a tool that answers questions to an agent that carries out tasks on the user’s behalf. The next question won’t be: who has the best model? It will be: who can build the kind of agent we trust to get our everyday work done? $META $METAB #Meta #Muse #AI #chatgpt #Grok
🤖 Meta is pushing AI into a new phase
Its personal agent, Muse, logged about 730 thousand downloads in the United States in 10 days, surpassing ChatGPT, Grok, and Claude in downloads over the same period, according to Sensor Tower data reported by CNBC.
But the number that matters most to me isn’t downloads—it’s the trend:
AI is shifting from a tool that answers questions to an agent that carries out tasks on the user’s behalf.
The next question won’t be: who has the best model?
It will be: who can build the kind of agent we trust to get our everyday work done?
$META $METAB
#Meta #Muse #AI #chatgpt #Grok
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