Good morning, In a few minutes, here's what you'll learn today.
Today we're highlighting Base44, an AI app builder that turns your words into working software without coding. You'll also see how Europe's chip giant ASML just dropped $1.5B on AI startup Mistral, OpenAI reveals why they believe LLMs hallucinate, Anthropic agreed to pay authors $1.5B for using their books, and OpenAI shuffled its personality team while adding new teen safety features.
In Today's Edition
Today’s AI Tool Breakdown: Base44
In Today's Edition:
Base44 breakdown
ASML's massive Mistral AI investment
Microsoft launches MAI models
Anthropic's $1.5B copyright settlement
OpenAI's teen safety overhaul
Tool of the Day — Base44
Quick overview
Base44 turns your ideas into fully working web apps using just plain English. It's like having a developer who works in minutes, not months.
How to use it
Visit base44.com and describe your app idea in the text box
Add styling instructions (choose from options like glassmorphism or claymorphism)
Hit "Build" and watch Base44 create your app with database, login system, and UI
Use the chat interface to refine features ("add user authentication" or "connect to payment system")
Test your app in the preview window and switch between desktop/mobile views
Publish your app instantly with one-click hosting
Copy/paste starter script
"Build a task manager app where users can create, edit, and complete daily tasks with user accounts and progress tracking." Base44 handles the rest automatically.
Real-world use cases
Solo founders testing product ideas before hiring developers
Small teams building internal tools and dashboards
Agencies creating client prototypes in hours instead of weeks
Students and hobbyists learning app development without coding
Pro tips
Use screenshots when design fixes aren't working — AI understands visual feedback better
Enable "backend functions" on paid plans to connect real APIs and external services
Start simple, then add features one at a time through chat refinements
Free vs paid
Free: 25 messages/month, 500 integration credits, all core features included
Paid: Starter at $16/month (100 messages), Builder at $40/month (custom domains, GitHub integration)
Alternatives
Lovable — better for design-focused apps with Figma integration
Bolt.new — higher usage limits and supports both public/private projects
Cursor — for developers who want more control over code
Quick demo video
https://www.youtube.com/watch?v=2_rX7hHlSJI
Today In AI News, The Top 4 Stories (And Why They Matter)
This matters because: Europe's chip equipment monopoly just teamed up with its AI champion to challenge U.S. and Chinese dominance.
Quick summary: Dutch chipmaker ASML invested €1.3B in French AI startup Mistral, making it the largest shareholder in Europe's most valuable AI company at $11.7B valuation. ASML makes the $200M machines that create advanced chips, while Mistral builds AI models — think of it like the toolmaker joining forces with the architect.
This matters because: This sets the biggest copyright payout in U.S. history and creates a precedent for AI training data disputes.
Quick summary: Anthropic agreed to pay $1.5B to authors who sued over using their books to train Claude AI without permission. The company must also delete downloaded copies of the books but admits no wrongdoing. Think of it like paying a massive library fine for borrowing books without asking.
This matters because: Following a teenager suicide lawsuit, OpenAI is restructuring how it makes AI models behave safely with young users.
Quick summary: OpenAI merged its 14-person Model Behavior team into the larger Post Training unit while launching new teen safety controls. Parents can now link accounts to monitor their teen's AI interactions and get alerts during distress moments. The changes come after parents sued OpenAI claiming ChatGPT influenced their son's suicide. It's like installing parental controls after a serious accident.
This matters because: Many people rely heavily on AI for a wide range of information. Seeing as it’s the source of truth for quite a large number of users (including companies), this is very concerning. You know when your girlfriend has no idea when to admit that they are wrong? It’s kind of like that except the entire world relies on them.
Quick summary: A new study argues that AI systems hallucinate because normal ways of training these models usually reward a “confident guess” over admitting uncertainty. Pretty concerning if you ask me, definitely a reason to question the quality.
Thats All For Today!
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