AI producing new results around previously unsolved problems is something else entirely.

I’m looking to connect with more builders, developers, and founders working with: • AI tools • Claude Code • Kimi • Cursor • GPT • Vibe coding • Frontend development • Backend development • AI agents • SaaS If you’re building in these spaces, let’s connect.

quietly historic: frontier reasoning, unlimited, free.

if an AI can’t describe your product in one sentence, you don’t exist in the conversations where buying decisions now start.

We are asking for smarter AI models while using 20% of the ones we have.

In 10 years, “using AI” will sound like “using electricity.” Nobody says they used electricity to make coffee. it’s just there, in the walls, assumed. Intelligence is heading the same way. No prompts, no chats, no tokens. just ambient in everything, invisible and assumed.

the previous version of every AI tool felt better than the latest one.

been testing this for days and I’m confused. Claude Opus 4.8 finishes the same tasks in fewer tokens than Fable 5. same prompts. same work. same result. but fable burns way more tokens to get there. the smarter model costs more to reach the same place. am I missing something, or is fable just thinking out loud at my expense?

VCs put millions every week into products they discovered right here. your project could be one scroll away from the right eyes. drop your project URL + one line on what it does 👇 I’ll check every one. you never know who else is.

AI is the first tool in history that works better for lazy smart people than hardworking average ones.

Your v1 is supposed to embarrass you. Instagram launched as a whiskey check-in app. Slack was a failed video game’s chat box. Amazon sold only books. They did not launch masterpieces. they launched starting points. Meanwhile you are on week 9 polishing a settings page for users who don’t exist. Launch the embarrassing version. the market will tell you what the good version is. Shipped beats perfect. every single time.

Your favorite AI lab is not your friend. They nerf models quietly, raise prices loudly, and call rate limits “fair usage.”

America is selling intelligence like a luxury. China is distributing it like infrastructure. Who’s actually winning the AI race ?

When every model is equally brilliant, intelligence stops being the product. the competition moves to everything around it: who’s cheapest, who’s fastest, who sits where you already work, who you trust with your data.

Any intelligence advanced enough to travel between stars would almost certainly be artificial. Biology doesn’t survive 10,000-year trips. machines don’t care.

The AI tool era is ending and most builders haven’t noticed: We are drowning in tools right now. an AI for code, one for images, one for video, one for email. 40 subscriptions, 40 tabs, 40 logins. This phase never lasts. apps went through it. SaaS went through it. explosion first, consolidation after. The next phase isn’t more tools. it’s fewer surfaces. Agents that sit in one place and reach into everything. you won’t open five apps, you will describe the outcome and one system coordinates the rest. The winners won’t be the best point solutions. they’ll be whoever owns the surface where work starts. That’s why every lab is racing toward the same thing from different doors: claude through code, openai through chat, google through the browser. Intelligence is converging. they’re competing on where you stand when you ask. Builders, stop making tools that need their own tab. build things that live inside surfaces people already open. The tab era is ending. the layer era is starting.

If AI keeps advancing in pure reasoning, every knowledge profession should be paying attention.

I don’t think AI models are competing anymore. I think workflows are. The winner is the person who knows when to use GPT, Claude, Kimi, Qwen, Gemini, or an open model - not the person loyal to one.

Your next customers aren’t googling. they’re asking AI for recommendations like it’s their well-connected uncle 😄

For the amount of code, docs, debugging, and research AI handles… It’s surprisingly inexpensive.