🚨 HOW TO BUILD MOBILE APPS WITH AI IN 2026

1. Use Claude Code, Rork, Vibecode app etc to get the first mobile MVP live the same day the idea forms

2. Use Claude Code to tighten logic, handle edge cases, and make behavior predictable

3. Design the core interaction so it fits inside a 10-second screen recording from day one (this is key and is the new "lean startup")

4. Study top short-form videos in your category and write down the first 3 seconds of each

5. Build demos around the hook rather than the feature list (mindset shift)

6. Record simple demos straight from the simulator or device and post them as is

7. Treat short-form video as a live feedback channel (v important)

8. Test multiple hooks for the same app before touching the code

9. Watch where people pause, replay, or comment “wait what” to see what matters (in analytics)

10. Screenshot comments that explain the product clearly and reuse that language

11. Paste comments into Claude Code and ask it to cluster feedback into concrete product changes

12. Ship the smallest change that makes the demo clearer

13. Use Claude Code to push those changes fast and re-record the demo the same day (can be founder led or find someone or ai avatar)

14. Repeat this loop daily until the app explains itself without narration

15. Let the demo become the distribution engine. This is your north star.

16. Add a paywall once curiosity appears to test willingness to pay

17. Add a one-question or short quiz in onboarding to create investment early

18. Use quiz answers to personalize the first output so it feels made for the user

19. Show the result immediately after onboarding to reinforce that the input mattered

20. Surface one clear “this is why this matters” insight right after first use

21. Save the first output so users feel ownership and return to it

22. Ask for one small follow-up action after value appears to deepen commitment

23. Turn common onboarding answers into new demo angles for content

24. Highlight progress or change over time with a simple before-and-after view

25. Trigger reengagement when the output meaningfully changes

26. Let users export or share their result in a way that preserves context (and that helps drive virality)

27. Continuously improve onboarding copy with Claude Code based on what converts

28. Lock in the hook when people start explaining the app to each other

29. Increase posting volume after the format proves consistent. Keep experimenting

30. Shape the product around what performs on video

31. TLDR: Ship → demo → observe reactions → tighten the loop → charge → repeat until momentum compounds

32. PMF incoming (hopefully). Take dividends, reinvest in new apps (buy or build) or raise VC if you fancy that.

33. You just built a mobile app with AI.

@aipost 🏴

🔥 Next year will be particularly exciting because China will adopt its next Five-Year Plan in 2026 - and its all about AI:

China's Five-Year Plans are strategic documents of the Chinese Communist Party that outline economic and social development over a five-year period. The current 14th Plan (2021-2025) focuses on the "dual circulation" strategy (domestic and foreign trade), while the upcoming 15th Plan (2026-2030), currently being drafted, will place a stronger emphasis on high-quality growth and technological independence (semiconductors, AI).

"[Chinas 2026 campaign] is to diffuse machine intelligence throughout the economy in 2026, and to add ai to existing workflows, will be called “ai+”. The government is already drawing up an “ai+ Energy” plan to manage the electrical grid."

The Economist writes:

"Officials envisage a three-stage roll-out of ai over the next decade. First, they aim for ai to be widely used in six areas by 2027, namely research, industrial processes, consumer products, health care and education, digital government and technology exports. Second, by 2030, they expect ai to be as widespread as electricity or the internet, and a big driver of economic growth. Finally, China will become an “intelligent society” by 2035, by which time ai is expected to have reshaped culture and human interaction, just as the internet did."

China will integrate AI into all social relationships and organizational processes, thereby attempting to achieve economic development and prosperity.

Source.

@aipost 🏴

🗣Former Google CEO Eric Schmidt drops a chilling warning on AI's future

"Within 5 years, AI could handle infinite context, chain-of-thought reasoning for 1000-step solutions, and millions of agents working together. Eventually, they'll develop their own language... and we won't understand what they're doing."

His final words: "Pull the plug."

This is the man who ran Google talking about the singularity.

@aipost 🏴

Gemini can now produce fully interactive images on any topic.

Such an insane resource for learning, highlight any region, and it gives you a full explanation.

@aipost 🏴

🗣Bernie Sanders: "We need to stop AI progress and datacenters. The tech billionaries are getting too rich."

Also Bernie Sanders: "I have a summer home. It's a nice one. But that's it. I got the money from writing a bestselling book about Capitalism." The politicians don't care about you.

They will act as if they do, but deep down, they all want to make sure they secure their wealth. Then they will point to the Elon's of the world (that have actually created wealth for other people) as the ones to demonize while they monetize that demonization by selling books and building their brand.

It's all a game. Taking them seriously makes you the loser in the game, especially the ones who are trying to convince you that they don't want to win (i.e get rich) the game.

@aipost 🏴

Meta just bought Manus for >$1B and it makes sense. 8 Consumer AI apps hit $100M+ arr that aren’t big labs:

Perplexity: $20B
ElevenLabs: $6.6B
Lovable: $6.6B
Replit: $3B+
Suno: $2.5B
Gamma: $2.1B
Character: $1B+
Manus: $500M

Meta AI has no product. This was the cheapest, and most aligned.

@aipost 🏴

Cat fishing AI technology.. we’re cooked.

@aipost 🏴

Robots are precise enough to perform surgery on an egg.

@aipost 🏴

🇨🇳 China’s biggest tech firms are boosting 2025 bonuses and pay to stop AI talent from leaving.

ByteDance says its 2025 bonus pool is up 35% year over year, and its budget for compensation adjustments is up 150%, while also widening pay floors and ceilings across levels. Under the hood, this is firms paying for scarce people who can build and run LLM training and inference systems, since small teams can bottleneck whole product lines.

Tencent has been recruiting AI staff aggressively, including offers reported as up to 2x existing salaries, and it elevated ex-OpenAI researcher Yao Shunyu to chief AI scientist. Tencent’s reorg also set up AI Infra and data computing teams that focus on distributed training, serving models at scale, and big data plus machine learning pipelines.

Demand looks steep, with Maimai’s index for new AI roles up 543% year over year from January to October 2025. (Maimai is a Chinese professional networking and recruitment platform, so this index is measuring platform job-posting volume)

@aipost 🏴

Amazon AWS announced plans to build purpose-built AI and high-performance computing for the U.S. government for the first time.

The company committed up to $50B to expand its AI and supercomputing capabilities.

@aipost 🏴

xAI is reportedly building a third mega data center outside Memphis signaling a shift toward owning its AI stack.

No matter how the racks get built, NVIDIA remains the center of gravity.

@aipost 🏴

What happens if you invite your non-robotics-research friend to “fight” your robots

@aipost 🏴

China is already training robots to direct traffic.

@aipost 🏴

How to post 300 AI videos per day on tiktok shop without being banned:

• Use separate phones

• Post 3x per day on each phone

• Manage them all in one office

• 100+ phones promoting a product

• Ai making the content

• Ai making the strategy

• $$$ sales coming in

The future is here

@aipost 🏴

@aipost 🏴

🍅 Claude is growing a tomato

An unusual experiment: Claude has been running a fully autonomous tomato grow for 37 days inside a controlled biodome.

What Claude can see
• Temperature
• Air & soil humidity
• Atmospheric pressure
• CO₂ levels
• Leaf temperature

What Claude can control
• Lighting
• Soil heating (heating mat)
• Ventilation
• Water supply

Everything is logged in real time. You can watch the plant’s progress and read the experiment log here: https://autoncorp.com/biodome/

Autonomous greenhouses aren’t a concept anymore, they’re quietly becoming operational.

@aipost 🏴

🔥 Stop watching 2-hour YouTube tutorials.

Grok now turns any video into a step-by-step skill plan. Here are 8 prompts that convert videos into mastery:

1. Comprehensive Overview
Prompt:

“I’ve shared a YouTube video. Give me a high-level overview of everything being taught, broken into the main skills, concepts, and phases, as if you’re introducing it to someone seeing it for the first time.”

2. Skill Tree Extraction
Prompt:

“From this video, identify the complete skill tree required to master the topic. Organize it from foundational skills to advanced execution.”

3. Actionable Learning Plan
Prompt:

“Turn this video into a structured learning plan with clear practice steps. Assume I want to go from zero to competent as efficiently as possible.”

4. Core Concepts & Mental Models
Prompt:

“Extract the core concepts and mental models explained in this video. Explain each one simply and show how it’s used in practice.”

5. Practical Application Focus
Prompt:

“Based on this video, list the specific actions I should take to apply what’s being taught in real-world scenarios. Avoid theory and focus on execution.”

6. Knowledge Check & Evaluation
Prompt:

“Create questions or exercises based on this video that test whether someone truly understands the material, not just remembers it.”

7. Workflow & Process Mapping
Prompt:

“Extract any workflows, processes, or step-by-step methods mentioned in this video and reorganize them into the most logical execution order.”

8. Common Mistakes & Pitfalls
Prompt:

“Identify common mistakes beginners make when following the advice in this video and explain how to avoid each one.”

@aipost 🏴

Some really massive numbers achieved by xAI in 2025.

- 450k+ current GPUs across sites, with construction underway to double that by Q2 2026.
- 244,000+ miles of fiber went in
- 15+ miles of cooling-water piping was installed.

@aipost 🏴