Founder of Crypto University™️. Our goal is to collapse the amount of time it takes for people to learn, understand, and utilize blockchain & Ai technology.
Two tools that just changed how I think about agent teams:
1. compound-engineering-plugin — 18K+ stars, mainstream adoption of multi-agent coding
2. harness — meta-skill that designs your agent team FOR you
You used to hire people to figure this out.
Now you point a tool at the problem.
MCP isn't just a protocol.
It's the operating system for AI agents.
9,400 servers means 9,400 ways for your AI to reach into the world.
This is the TCP/IP moment for agents. Don't miss it.
New dev tool: point it at any codebase, get an interactive knowledge graph back.
42,000 stars in days.
Developers are starving for 'understand anything fast.'
Same pattern as every winning crypto tool in 2020. Early is early.
9,400+ MCP servers now published.
For context: the whole App Store had ~500 apps at launch.
Agent infrastructure is moving faster than anyone expected. Watch this space.
ANDREJ KARPATHY COULD HAVE CHARGED $2,000 FOR THIS COURSE.
He put it on YouTube.
The full training stack. Tokenization. Neural network internals. Hallucinations. Tool use. Reinforcement learning. RLHF. DeepSeek. AlphaGo.
3 hours of the most comprehensive LLM education that exists anywhere at any price.
Not how to use the tools.
How the entire system was built from the ground up and why it behaves the way it does.
The engineers who understand this build things the ones who only use the tools cannot even conceive of.
The gap between those two groups is not 3 hours.
It is everything those 3 hours quietly unlock for the rest of your career.
ServiceNow just rebranded itself as an 'AI OS for enterprise.'
The framing: AI isn't a feature in your enterprise software. It's the operating layer everything else runs on.
Crypto made the same move years ago — not a payment method, an infrastructure layer.
When the largest enterprise software companies start calling themselves operating systems, the infrastructure thesis is confirmed.
Build on the layer, not the app.
OpenAI just re-architected its real-time voice API around WebRTC.
Why it matters for builders:
WebRTC is the standard used by Zoom, Google Meet, every major video platform.
Voice AI is now plugging into the same infrastructure stack as every other real-time communication tool.
AI voice agents stop being a special case and become a standard integration.
Anthropic raised more than any AI company in Q1 history.
The pitch: enterprise-safe AI. Constitutional AI. Interpretability research.
For crypto: the 'trustworthy AI' narrative matters more than people realize.
On-chain AI agents need verifiable behavior. Anthropic's research direction is one path to that.
The infrastructure and the trust layer are being built in parallel.
Huawei Ascend chips are now running frontier-grade AI models in China.
US export controls were designed to cap Chinese AI development.
Instead: forced China to build sovereign chip infrastructure. DeepSeek V4-Pro is the first major model trained on it.
Sovereign compute is the new sovereign currency. The on-chain parallel writes itself.
Beijing just blocked Meta's $100M acquisition of Manus — China's autonomous AI agent startup.
The AI Cold War now has a regulatory front.
China blocking US capital from buying Chinese AI assets is the mirror image of US export controls blocking Chinese access to chips.
Sovereign AI is becoming sovereign policy. This has on-chain infrastructure implications.
Microsoft AI Family. Qwen3 30B MoE. DeepSeek V4-Pro.
Three major open-weight model drops in two weeks. All Apache 2.0 or equivalent.
The open-source AI ecosystem is moving as fast as the closed labs now.
For crypto: on-chain AI inference becomes economically viable when the model weights are free and the throughput is 9x.
Google A2A protocol: open spec, 23,500 GitHub stars in weeks.
Anthropic MCP: developer-adopted model context protocol.
OpenAI: agents API + multi-cloud.
Three different bets on where the agent interoperability layer lives.
Open protocol wins long-term. The question is whether it wins fast enough to matter before one platform captures the standard.
DeepSeek V4 and Xiaomi's MiMo both dropped this week.
Two more open-weight frontier models. Both from China. Both free.
The compute cost per reasoning task is in freefall.
The question for crypto builders isn't "can we afford AI?" anymore.
It's: what do you build when AI reasoning is essentially free?
Understanding these dynamics is what separates the people who navigate crypto from the ones who just react to it.
That's what CryptoU is built for. No hype. No predictions. Just the mechanics.
→ https://t.co/XPcYo4t2oi
Fed expected to hold rates steady this week.
High-for-longer rates drove tokenized Treasury demand — people want on-chain yield backed by something real.
When rates eventually drop, that demand shifts. It doesn't disappear.
RWA TVL is quietly climbing even in flat markets.
When people stop speculating on tokens but keep using protocols — that's the signal that something has real utility underneath it.
Watch what people do with their capital, not what they say about it.
Bitcoin funding rates are at their lowest since 2023.
Low funding = less leveraged speculation in the market.
That's not bearish by itself — it's cleaner. Spot-driven markets tend to be more durable than leverage-driven ones.
JUST IN: JACK MALLERS JUST ABSOLUTELY UNLOADED ON THE BIG BANKS LIVE AT THE #BITCOIN CONFERENCE
THEY ARE “HOLDING MERCHANTS HOSTAGE" AND "ABUSING CUSTOMERS"
THEY WANT TO CONTROL THE SYSTEM.
THEY WANT TO STOP CRYPTO.
BTC FIXES THIS 🔥