How to set up Claude Cowork the right way: (Save this)

🚨 Someone just turned Claude into a full AI research scientist. This GitHub repo called claude-scientific-skills just quietly changed what's possible with AI in science. Most people are using Claude to write emails and summarize docs. These researchers are using it to run

Repo:

🚨 Someone just turned Claude into a full AI research scientist. This GitHub repo called claude-scientific-skills just quietly changed what's possible with AI in science. Most people are using Claude to write emails and summarize docs. These researchers are using it to run

The gap between people using Claude Cowork to answer questions and people using it to run entire workflows is the biggest skill gap in AI right now. One group is saving 20 minutes a day. The other is coming back to finished files, drafted emails, audited codebases, and

https://t.co/ICJUKhEa0I

🚨 Microsoft just quietly solved one of the biggest problems in AI agents. Memory. In this paper, Microsoft introduces an exploratory memory-augmented LLM agent trained with a hybrid mix of on-policy and off-policy optimization and the implications are bigger than they sound.

How to set up Claude Cowork the right way: (Save this)

🚨 BREAKING: Microsoft dropped a complete AI degree on GitHub and it's actually good. The curriculum covers everything you'd pay $10k for in a bootcamp: → Neural Networks built from scratch → Computer Vision & NLP → GANs & Transformers → PyTorch + TensorFlow + Keras labs →

Repo:

🚨 BREAKING: Microsoft dropped a complete AI degree on GitHub and it's actually good. The curriculum covers everything you'd pay $10k for in a bootcamp: → Neural Networks built from scratch → Computer Vision & NLP → GANs & Transformers → PyTorch + TensorFlow + Keras labs →

Read it here:

🚨 Microsoft just quietly solved one of the biggest problems in AI agents. Memory. In this paper, Microsoft introduces an exploratory memory-augmented LLM agent trained with a hybrid mix of on-policy and off-policy optimization and the implications are bigger than they sound.

Chain of Thought is dead. I just tested Atom of Thought prompting and it's making AI models 30-40% more accurate on complex reasoning tasks. The accuracy gains made me question everything I thought I knew about prompting. And the core idea destroyed my mental model in the best

Repo:

🚨 Someone just built a self-hosted AI companion that plays Minecraft, chats with you in real-time, and runs completely on your own hardware. It's called Airi and it's not a demo. It's a real AI companion with memory, voice, personality, and a Live2D body that moves when it

Each of these prompts replaces work that costs: - Strategy Analyst: $100K/year - Senior Consultant: $140K/year - Engagement Manager: $200K/year Board-ready competitive intelligence in 15 minutes instead of 3 weeks. Copy a prompt. Replace the brackets. Get Deloitte-level

14/ Strategic Recommendations Deck "You are a Senior Partner at McKinsey. Based on all prior analysis, give strategic recommendations for [COMPANY NAME]. Please provide: - Top 3 strategic priorities - Short-term actions (0–12 months) - Medium-term plays (1–3 years) - Long-term

13/ Disruption Threat Analysis "You are an Innovation Consultant. I need disruption analysis for [INDUSTRY]. Please provide: - Emerging startups - New technologies threatening incumbents - AI automation impact - Margin compression risks - Substitute products - Timeline to

12/ Growth Strategy Reverse-Engineering "You are a Growth Partner at Bain. I need to reverse-engineer the growth strategy of [COMPANY NAME]. Please provide: - Revenue growth sources - Product expansion timeline - Geographic expansion timeline - Pricing strategy evolution -