Wow.ai

Why is "AI" in all the major country's Name?🤔

AmerIca
ChInA
RussIA
IndiA
Saudi ArabIa
SwItzerlAnd
SIngApore
PAkIstan
ItAly
Great BritAin

list goes on...

Is it coincidence or planned? 🤔

Sam Altman: "We're going to see 10-person billion-dollar companies pretty soon.

If I were 22 right now, I'd feel like the luckiest kid in history."

this is your sign to apply for the Founding 500

All you need to know about Google I/O 2026

CLAUDE Cracks 9-Year-Old Locked Bitcoin Wallet 🤯

Bro had 5 BTC locked in a wallet for 9 years

dumped his old college computer into Claude as a hail mary

Claude found the wallet file, debugged btcrecover's password logic, decrypted the keys, converted to WIF, recovered the funds

- Claude for Programming
- Supabase for backend.
- Vercel for deployment.
- Namecheap for domain.
- Stripe for payments.
- GitHub for version control.
- Resend for emails.
- Clerk for authentication.
- Cloudflare for DNS.
- PostHog for analytics.
- Sentry for error tracking.
- Upstash for Redis.
- Pinecone for vector database.

A few years ago, you needed an office, servers, a whole team, and capital.
Today you can launch a startup from your bedroom with tools that cost less than a dinner.

The barrier to entry has never been so low.

It's not that big a deal, bro.

A Chinese lab just dropped a 1-trillion parameter thinking model.

For free.

And it just flipped the agent economy upside down.

Meet Ring-2.6-1T by InclusionAI:

→ 1T total parameters (63B active, MoE)
→ 256K context window
→ 65K max output
→ $0 input. $0 output.

This isn’t a demo.
It’s the full model.

And it’s not built for chat.

It’s built for "agents" — autonomous workflows, coding systems, long-horizon tasks, real tool use. The exact category people pay $200/month to access.

The real innovation?

Adaptive reasoning.

It dynamically adjusts compute:

* Simple task → fewer thinking tokens
* Complex task → deeper reasoning burn

Smarter allocation. Lower waste. Zero cost.

This changes the game.

What you now get — free:
→ Trillion-scale reasoning
→ 256K context
→ Native tool use
→ Adaptive thinking budget
→ Agent-level benchmarks

The economics are brutal.

A 1T-class agent run used to cost $5–$15 per loop.

Now?
You can iterate at scale without watching the meter.

This is part of a bigger pattern:

DeepSeek → reasoning
Qwen → multimodal
Kimi → long context
Now InclusionAI → trillion-scale agents

Each quarter, another frontier-class model goes open.

The moat around “premium AI agents” is shrinking fast.

If you're building agents, this is your signal.

The era of expensive reasoning just ended.

Anthropic just signed a deal with SpaceX 🤝