Claude for College

Hello there! Ready to dive into another upgrading, Mind-boggling, and Value-filled Shift?

Today we have:

🎓 Claude Goes to College: AI Learns to Teach

🐝 Lindy AI’s ‘Agent Swarms’ Are Here — And They’re Game-Changing

🤖 Choosing the Right AI Isn’t About the Smartest—It’s About the Fit

🏆 Tools and Shifts you Cannot Miss

🎓 Claude Goes to College: AI Learns to Teach
^{Insights from Anthropic}

Anthropic has launched Claude for Education, a tailored AI initiative to support teaching, learning, and administration in higher education, prioritizing critical thinking over quick answers.

The Decode:

1. Learning Mode Promotes Thought Over Answers - Claude’s new "Learning Mode" doesn’t just give students the answer—it helps them arrive at it. Through Socratic questioning and step-by-step reasoning, the AI guides students to build deeper understanding across assignments, essays, and problem sets.

2. Campus-Wide Adoption by Leading Universities - Northeastern University, LSE, and Champlain College have signed full-campus access deals, giving students and faculty widespread access to Claude. Northeastern, notably, is co-designing new education tools with Anthropic to set standards for responsible AI in academia.

3. Student Programs to Build a Claude Community - Anthropic introduced a Claude Campus Ambassadors initiative and project-based API credit program to support student builders creating a grassroots movement for AI literacy and innovation inside colleges.

Claude now integrates with platforms like Canvas (via Instructure) and networks like Internet2, enabling educators to embed Claude into existing academic workflows securely and responsibly.

🐝 Lindy AI’s ‘Agent Swarms’ Are Here — And They’re Game-Changing

Lindy AI just dropped something massive: Agent Swarms — a feature that lets hundreds of AI agents work for you simultaneously, around the clock.

What’s the Hype About?

With Agent Swarms, you’re not just deploying one assistant — you’re unleashing an army of specialized AIs that collaborate to complete tasks faster, smarter, and more autonomously. Each agent can take on a specific function, from outreach and data entry to scheduling, research, and beyond.

How It Works

 • Assign unique roles to individual AI agents.

 • Let them coordinate like a real team — all powered by Lindy’s architecture.

 • Run entire workflows without human micromanagement.

What This Unlocks

 • 24/7 productivity: No sleep, no breaks, just execution.

 • Massive scalability: Handle hundreds of micro-tasks in parallel.

 • Autonomous collaboration: Agents talk to each other and solve problems as a swarm.

🔗 See It in Action

Ready to delegate like never before? Watch the demo and explore how Agent Swarms can revolutionize your workflow. The future of AI teamwork has arrived — and it’s wild.

🤖 Choosing the Right AI Isn’t About the Smartest—It’s About the Fit

With new models dropping every week, figuring out which AI to use can feel like chasing a moving target. Tina Huang sat down with Louie Peters (CEO, Towards AI) to break it down—and what you need isn’t always the smartest model, but the most useful one for the job.

The Decode:

1. Function-first approach:  Before comparing models, define your needs. ChatGPT 4o is great for general use, while Gemini 2.5 Pro Experimental offers 1 M-token context windows, ideal for deep reasoning and long context tasks. Models like o3-mini are ideal for coding applications, providing focused performance for technical workflows.
   

2. Evaluate Performance Through Cost and Utility
   Cost-efficiency plays a major role in model selection, especially for high-volume use. Gemini 2.0 Flash leads on affordability at just $0.2 per million tokens, while Nova Micro dominates in speed with 322 tokens per second. Premium models like the o1 Pro deliver strong reliability, but their costs are higher.
   

3. Smart testing tools: Benchmarks can mislead—companies often tailor models for them.  Instead of relying on guesswork, tools like OpenRouter allow side-by-side testing of models with identical prompts. Independent platforms such as Artificial Analysis provide data-driven rankings for intelligence, speed, and cost.

These are the Current Leaders:

• Overall Intelligence: Gemini 2.5 Pro Experimental

• Speed: Nova Micro (322 tokens/sec)

• Cost-Effective: Gemini 2.0 Flash

• Coding: o3-mini

• Math Reasoning: Gemini 2.5 Pro Experimental

• Open-Weight Model: DeepSeek R1

Louie personally tests 5-6 models 20-30 times daily. The "best" model is whichever solves your specific problem most effectively - rankings change, but your needs don't.

Remember: Like choosing a coworker, pick an AI that fits your workflow and "gets" you. Tools matter, but the right fit matters more.

🏆 AI Tools for the Shift

🧠 Neurons – Stop guessing and start knowing how your ads will perform with AI-backed predictions. Book your free session today!

📊 AI Infographics – Instantly turn text into eye-catching infographics. Perfect for educators, marketers, and content creators.

🎥 Lanta AI – Convert images, text, or videos into AI-generated videos. Bring any media to life with creative video generation.

🖼️ PhotoGrid AI Image Enhancer – Boost your image quality instantly with AI and sharpen, clean, and enhance images for free—no skills needed.

💬 FlirtAI – Generate charming, thoughtful replies with AI and make conversations smoother and more meaningful on dating apps.

🚀 Quick Shifts

❓ Are Profit Leaks Hurting Your Growth? Drivepoint tracks your margins, identifies waste, and automates forecasting to maximize profits. Trusted by brands like Curology and True Classic, it’s the ultimate financial command center. Start scaling smarter — Book your free demo now!

🌨️ Google's NotebookLM now lets users generate source material by simply describing a topic. The new “Discover” feature scans the web for relevant content, offers summaries, and saves selected sources.

🏆 Adobe’s Premiere Pro 25.2 update introduces “Generative Extend,” an AI-powered tool that lengthens video clips by two seconds and adds ambient audio. It also features smart search, automatic caption translation into 2 7 languages, and improved performance across devices.

🌟 OpenAI’s o3 model, praised for its reasoning skills, may be far costlier to run than expected. ARC-AGI’s revised estimate puts costs at $30,000 per task—up from $3,000—due to o3 high’s intense compute needs, requiring 1,024 task attempts.

🤖 DeepMind published a 145-page report on AGI safety, predicting “Exceptional AGI” by 2030 and warning of “severe harm.” While the paper outlines proactive safeguards, critics say AGI remains too vague to assess scientifically, and recursive AI improvement lacks real evidence.

That’s all for today’s edition see you tomorrow as we track down and get you all that matters in the daily AI Shift!

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