Muhammad Ali

Master Claude AI & Build Real Projects Stop watching tutorials. Start building. ✅ Claude Code ✅ API & SDK ✅ MCP Servers ✅ AI Agents 1-on-1 live sessions with a Pro Tutor. Recorded. All levels welcome. #ClaudeAI #AI #LearnAI #AIAgents #MCPServers

RAG vs Fine-tuning in 2026: RAG → cheap, fast to update, good for facts Fine-tuning → expensive, hard to update, good for style/tone 99% of "we need fine-tuning" projects actually need RAG. What did your team end up choosing?

2 types of AI startups in 2026: Type A: "We use GPT-4 to write emails" → dead Type B: "We replaced a $200k/year job with $50/mo software" → 10x ARR The wrapper era is over. The replacement era is here. Which type are you building?

Grok 4.3

The real cost of AI in 2026: - GPT-5 API → $$$ but ships fast - Open-source on your own GPU → cheap but eats your weekends - Claude API → middle ground, best for serious products Most indie devs pick wrong and burn out. Which one are you running?

Solo builder vs funded startup in 2026: Solo → ship in 2 weeks, $0 burn, full control Funded → ship in 6 months, $2M burn, board meetings AI tools made solo 10x more dangerous. Which path are you on?

@snailHao @elonmusk great

@elonmusk When X’s ad platform is fully upgraded, the first ad you see while surfing Starlink from a Mars base might just be a push from Earth’s X platform 🚀

Major upgrade to 𝕏 advertising

@OctaMount8 @elonmusk Waw

@elonmusk Elon and Maye dancing together to celebrate 🎉

@elonmusk Amazing

How are you sharpening your code review judgment when AI is doing all the writing for you? Drop your answer.

People think AI is about prompts. Real ones know it’s about systems. Prompts get answers. Systems print money. #AI #Automation

After 1 year of shipping with LLMs, my honest tier list: - GPT → best all-rounder - Claude → best for code + long context - Gemini → best for multimodal - Llama → best for self-hosting Which one is winning for YOUR use case?

Building with AI in 2026: ❌ Wrap an LLM in a nice UI → dead in 6 months ✅ Automate a boring workflow nobody wants to do → printing money Boring problems are the goldmine. What's the most boring task you'd pay $50/mo to automate?

PyTorch vs TensorFlow in 2026: PyTorch won research. TensorFlow still owns big production pipelines. Most new teams I see just ship PyTorch + ONNX and forget TF exists. What's your team actually using?

Whats the fastest way to hit $10k/month in 2026: -SAAS -IOSapp

ChatGPT vs Claude in 2026: ChatGPT → faster, bigger ecosystem Claude → deeper reasoning, better at code I'm 80% on Claude now. What's your split?

If you had to pick ONE to master in 2026: A) Machine Learning B) Web Development C) Cybersecurity D) Cloud Drop your answer

AI is powerful, but it won’t replace thinking. I use AI to speed up my work, not avoid learning.

@AntonMartyniuk @milan_milanovic This is the thing the "just use AI to code" crowd doesn't want to hear — if you can't read the diff and know whether it's correct, you're not a developer with AI assistance, you're a human rubber stamp. The fundamentals aren't optional, they're the entire quality gate now.

I want to tell you something about AI-assisted development in 2026. If you don't understand your programming language deep, your main web framework, HTTP, databases, and concurrency fundamentals, you can't tell when the code generated by Claude or Copilot is subtly wrong - and it will be, often enough to matter in production. AI amplifies what you already know. The stronger your fundamentals, the better your judgment on what to keep, what to fix, and what to throw away entirely.

𝗔𝗜 𝗪𝗼𝗻'𝘁 𝗥𝗲𝗽𝗹𝗮𝗰𝗲 𝗬𝗼𝘂. 𝗬𝗲𝘁. There was always more work than people to do it in this fabulous world of software engineering. I remember well that on every project we were understaffed, or there was a big pile of work to be done. We knew a lot of these job will neve be done. Then GenAI arrived. Individual productivity jumped 5-10x on certain tasks. Here's the part nobody's pricing in. Jevons paradox. When something gets cheaper, we don't use less of it. We use far more. Coal engines got efficient, and coal consumption exploded. The same pattern is playing out with software. Today, there are roughly 30 million professional developers worldwide. But when AI makes coding 5-10x easier, the pool doesn't stay at 30 million. It expands to 200-300 million. Product managers ship prototypes. Designers build their own tools. Domain experts solve their own problems. Right now, there's still an implementation gap. What AI does in demos and what companies actually ship are two different things. That gap is your window. But it's closing. Based on current trajectories, that window will be very narrow by 2028. With AI, we will cover what we wanted, and all our "side jobs" will be eaten by AI, too. So, I think most developers still have 2-3 years to work in the current way. But not because AI is slow. Because organizations are slow. The moment that changes, the window slams shut.