Ethan Mollick:

4. The emergence of superintelligent machines, prompting profound existential questions about humanity's role.

What do you want to know?.

3. A world where AI integrates effectively into human systems, enhancing productivity and collaboration.

2. A gradual improvement in AI capabilities, similar to the incremental enhancements observed in smartphone technology, where models may evolve steadily over time.

1. AI development could stagnate, ultimately fizzling out, which is unlikely given the current pace of advancements.

Why does OpenAI abandon products?. 1. AI development is evolving too fast for everything to stick. 2. AI economics are shifting—sustainability matters. 3. The next phase of AI is coming, and it could go 4 ways:.

Want to think like an investor?. 💰 Weigh risk vs. reward. 📊 Understand macro & market trends. 🚀 Invest in opportunities that compound over time. Public or private, the best investments follow key principles. Full breakdown: .#Startups #Investing #VC.

What can Tinder teach us about scaling startups?. 1. Build features that retain users. 2. Let data guide every decision. 3. Harness network effects to scale sustainably. Scaling isn’t just about growth—it’s about smart growth. .#Startups #Growth #Tinder.

The foundation of any great product? Architecture. 1. Scalability to grow with demand. 2.Flexibility to meet evolving needs. 3. Resilience to handle failures. Find principles behind building the best architecture for startups here: #Startups.

AI agents are rewriting the rules of coding:. 1. AutoGPT, AgentGPT, & more can write functional code from plain language.2. Non-coders can now turn ideas into software.3. Developers focus on strategy, not repetitive tasks.Everyone can do it. More here:

5/ 🏆 Unconventional strategies create unfair advantages.The best startups win by thinking differently. If everyone is doing X, look at Y. Break more rules. Challenge assumptions. That’s how real innovation happens. More insights here:

4/ ⚡ Compete where others ignore.Most markets have underserved niches. Instead of fighting giants head-on, find overlooked gaps where you can dominate.

3/ 🔄 Focus on distribution first.A great product with no users is a failed product. Don’t wait until launch to think about distribution—start building your audience before you build.

2/ 🚀 Ditch traditional hiring.Resumes filter for who looks good on paper, not who can actually deliver. Some of the best talent is overlooked because they don’t fit the mold. Hire for skill, not credentials.

1/ 💡 Sell before you build.Most founders spend months (or years) building a product before validating demand. Instead, try selling first. If no one bites, you just saved yourself from a costly mistake.

Most startups fail because they follow the same playbook as everyone else. The biggest wins? They come from breaking conventional wisdom. Here are 5 unconventional startup strategies that actually work: 🧵👇.

The biggest problem in LLMs? Context windows. 1. Bigger windows don’t always mean better AI. 2. Costs rise exponentially as context expands. 3. The real breakthrough = Efficient memory + retrieval. Full breakdown:. #AI #LLMs #GPT7.

The takeaway:.Less is more. Build something that does one thing incredibly well. Strip away the noise, simplify, and focus on delivering real value.

Clarity > Clutter.Your product should be so intuitive that users instantly get it. If you need long explanations, you’ve already lost. The best products make value obvious.

Speed beats complexity.Every extra feature slows down development, onboarding, and marketing. Startups that focus on a core offering iterate faster and win market share before others catch up.