🌟 Today's Spotlight: Meta Muse

Meta just launched Muse, a new AI image generator built into Meta AI, announced yesterday.

What makes it different from the usual text-to-image tools: Muse works with your own photos, not just prompts — photo restoration, style transformations, room restyling, product photography, and surreal scene edits, all referencing images you actually upload.

For founders producing social content or product shots without a design budget, this is worth testing this week while it's fresh — before everyone else catches on and the novelty (and the algorithm boost) wears off.

🛠️ AI Blueprint:

Should You Actually Switch to a Cheaper Chinese Model?

Quick gut-check: if your AI bill has crept up this year, you are not imagining it — and you are not alone. US companies are now routing up to 46% of enterprise AI tokens to Chinese models, purely on cost. This tutorial breaks down how to actually evaluate whether that trade makes sense for you, instead of just following the herd.

Use this if: you've noticed your Claude or ChatGPT bill climbing and you're wondering whether a cheaper model is a real option or a false economy.

💡 What you'll walk away knowing:

• The real cost gap between frontier US models and their Chinese open-weight rivals

• Which tasks are safe to route to a cheaper model, and which ones aren't

• The data-security and compliance questions you should ask before switching anything

• Why some companies are running two model stacks instead of picking one

Watch the full tutorial →

🔥 BREAKING

The $168 Billion AI Race Just Entered a New Phase

Microsoft, Google, Amazon, and Meta are now expected to spend a combined $168 billion on AI infrastructure this year—a massive 74% increase over last year. The money is pouring into new data centers, custom AI chips, and the computing power needed to train and serve increasingly powerful models.

⚡ Why this is bigger than it sounds:
This isn't just Big Tech spending more money. It's a signal that the AI race is no longer about building the smartest model—it's about who can afford the infrastructure to keep scaling. While startups compete on features, tech giants are racing to own the world's AI factories.

The question everyone is asking:
Can anyone outside the biggest tech companies still compete when the price of staying in the race is measured in hundreds of billions of dollars?

Read the full story →

🔎 Quick AI Highlights

🚨 Congress Opens a Formal Probe — Two US House Committees are now formally investigating the rise of Chinese AI model adoption inside American companies, with letters already sent to firms including Cursor and Airbnb over their exposure to Chinese-built models.

🀄 Alibaba Bans Its Own Staff From Claude Code — China's Alibaba placed Anthropic's Claude Code on a high-risk software list and barred employees from using it, after accusing Anthropic of a "distillation attack."

💸 Claude's Fable 5 Goes Paid-Only, Today — As of today, every Claude user accessing Fable 5 pays usage credits at $10 per million input tokens and $50 per million output tokens — double the cost of Anthropic's flagship Opus 4.8. Sonnet 5 and Opus 4.8 remain included in standard subscriptions.

📊 The Numbers Behind the Shift — CNBC's own data shows Chinese AI models now make up 30-46% of enterprise token usage in the US, up from just 11% a year ago — driven almost entirely by cost, not capability gaps.

🛠️ New featured tools

🎥 TwelveLabs — AI platform that understands video like a human. Search hours of footage using natural language, generate highlights, identify moments, and build video-powered AI applications without manual tagging.

🎨 Krea.ai — A collaborative AI design workspace that combines image generation, editing, upscaling, and real-time creative control on an infinite canvas for designers and marketers.

📹 Hedra Studio — An AI video creation platform that transforms images into expressive talking characters with realistic lip-sync, emotions, and cinematic motion for social media and marketing.

⚡ Firecrawl — Open-source web crawling API that converts entire websites into clean, LLM-ready Markdown and structured data, making it easy to feed AI agents with fresh information.

✨ Prompt Show

💡 Use this before you move any workflow to a cheaper model, now that switching is genuinely on the table for most teams:

Useful right now specifically — with cost pressure pushing everyone toward cheaper models, this prompt helps you make that call task-by-task instead of switching (or not switching) everything at once out of habit.