Meta Launches Muse Code to Take On OpenAI Codex and Claude Code

✨TodayOnAI’s Daily Drop

• Meta Launches Muse Code to Take On OpenAI Codex and Claude Code

• MacPaw Teams Up With Liquid AI to Bring Private On-Device AI to Developers

• SpaceX Spends $329 Million on Tesla Megapacks to Power AI Infrastructure

• 💬 Let’s Fix This Prompt

• 🧰 Today’s AI Toolbox Pick

OPENAI

Meta Launches Muse Code to Take On OpenAI Codex and Claude Code

🚀 TodayOnAI Insight: Meta has launched Muse Code, a beta AI coding agent designed to handle complex software engineering tasks across large codebases. Powered by the company's Muse Spark model, the tool signals Meta’s push to compete more directly with OpenAI’s Codex and Anthropic’s Claude Code—while emphasizing lower operating costs for developers.

🔍 Key Takeaways:

• Handles end-to-end software engineering tasks, including planning, coding, testing, and validation across large repositories.

• Uses parallel AI sub-agents that work in isolated environments, allowing multiple features to be built simultaneously without affecting a developer’s working copy.

• Installs with a single command and is powered by Meta’s existing Muse Spark coding model.

• Meta positions Muse Code as a more cost-effective alternative to competing AI coding agents from OpenAI and Anthropic.

• The launch continues Meta’s broader expansion into enterprise AI following its recent customer service agent initiative.

💡 Why This Stands Out: AI coding assistants are evolving beyond autocomplete into autonomous software engineering systems capable of coordinating complex development workflows. Meta’s focus on parallel execution and affordability suggests the next competitive battleground may be less about model capability alone—and more about productivity at enterprise scale.

MacPaw

MacPaw Teams Up With Liquid AI to Bring Private On-Device AI to Developers

🚀 TodayOnAI Insight: MacPaw has partnered with Liquid AI to build locally hosted AI models for its products, starting with its Eney assistant. Beyond improving privacy and offline capabilities, the company plans to offer the underlying on-device AI platform to developers while reshaping SetApp into a marketplace built for AI-powered applications.

🔍 Key Takeaways:

• Liquid AI is developing Elix, an on-device inference system, along with a local memory layer to power MacPaw’s AI assistant.

• Running AI locally enables offline assistants, stronger privacy, lower latency, and reduced reliance on cloud infrastructure.

• Liquid AI says its hardware-optimized models prioritize efficiency and can adapt over time through user-driven customization.

• MacPaw plans to expose its local AI stack to developers while also providing access to cloud models from providers like Google through a unified platform.

• SetApp is preparing for AI-native apps with a credit-based pricing model, where AI usage is billed based on task complexity.

💡 Why This Stands Out:The race for AI is increasingly shifting from bigger cloud models to smarter on-device intelligence. By combining local inference with flexible access to cloud models, MacPaw is betting that developers—and users—will want AI that's faster, more private, and available even without an internet connection.

SpaceX

SpaceX Spends $329 Million on Tesla Megapacks to Power AI Infrastructure

🚀 TodayOnAI Insight: SpaceX spent $295 million on Tesla Megapacks in Q2, bringing total purchases this year to $329 million, as it scales infrastructure for xAI’s growing data centers. The investment highlights how Musk’s companies are increasingly working together to support the rising energy demands of large-scale AI.

🔍 Key Takeaways:

• SpaceX purchased $329 million worth of Tesla Megapack battery systems in 2026, including $295 million during the second quarter.

• The batteries are expected to support xAI data centers by providing backup power and smoothing the fluctuating energy demands of AI workloads.

• Large battery systems help reduce costly power spikes from GPU-intensive training and inference while improving operational reliability.

• The purchases follow SpaceX’s acquisition of xAI, further integrating Musk’s AI, aerospace, and energy businesses.

• Regulatory filings also show SpaceX had acquired $131 million worth of Tesla Cybertrucks by the end of 2025.

💡 Why This Stands Out: As AI models grow more computationally intensive, energy infrastructure is becoming just as strategic as the chips that power them. SpaceX’s investment underscores a broader industry shift: winning the AI race increasingly depends on securing reliable, scalable power alongside cutting-edge compute.

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🧰 Today’s AI Toolbox Pick

• 🍋LemonSqueezy (Finance Tool): Handles the tax compliance burden so you can focus on more revenue with less headache.

• 💻ZipWP (Web Design Tool): Creates stunning websites in seconds.

• ⚙️DupDub (Content Tool): An all-in-one content creation platform that allows you to craft your content effortlessly and streamline your workflow.