Excited to host the 5th Global Pizza Party 2025 in Chengdu, supported by @Pizza_DAO, @berlindaoagency, and @CryptoLucie! This is where the cheese meets the chain and the yum meets the pump.
We'll be celebrating at Edelweiss Restaurant, RSVP here: https://t.co/M06SrxFnSe
#Web3 Weekly - June 8th 2026, dozens of hours and hundreds of pages of content destilled into a 10-minute report with all essential infos on the previous and upcoming week in Web3. Check it out here 👇
https://t.co/iuy65X18wU
FFS wait… @OGesportsCS is actually real thing now? 🤯
We’ve got CS2 match #predictions, OG.Dexsport competing live on the server, plus they’re hosting a huge #giveaway too!?no way……
I’m low-key shocked so many of you still haven’t hopped in 👇I’m gonna run first anyway haha ✈️✈️✈️@Dexsport
#CS2 #OGDexsport #sport #web3 #PredictionMarket #gaming #sports #giveaways #crypto #cryptocurrency
In enterprise #AI, it’s rarely the tech that fails 🔥
“Move fast & break things” in AI = technical debt 📉
No governance = no scale, no trust.
One bad agent = crisis.
Full breakdown 👇
https://t.co/Zp2XQMNHcA via @LinkedIn
Another year, another #Bitcoin Pizza Day. Delighted to host this year's pizza party in Chengdu again in cooperation with @Pizza_DAO. Let’s celebrate the most legendary pizza order in history together 🍕🚀
Bitcoin Pizza Day is coming to Chengdu! 🍕₿
Join us on May 22 for the 2026 Global Pizza Party, co-hosted by @Pizza_DAO x @berlindaoagency and supported by @ensdomains.
Pizza, drinks, #Web3 friends, #BTC hodlers, and good vibes all night.
🎟️ RSVP: https://t.co/flXldMDc4M
The shift from “AI calls your software” to “AI becomes the software” is already happening.
Architecture now matters more than model choice.
I broke down the emerging deployment patterns shaping #AgenticAI 👇
https://t.co/eLl1Fz8PYO via @LinkedIn
Most #AI agents fail in production for one reason:
They can’t read your business.
Your workflows live in PDFs, calls, and videos, not clean data.
That just changed.
Multimodal AI is becoming infrastructure.
I broke down what this means 👇https://t.co/Bc84YMMHHG via @LinkedIn
Paris, it’s time to Vive la Web3!
A light, curated #Tech · #AI · #Web3 salon for founders, builders, and curious minds who value genuine connections over empty networking.
📍 Central Paris
🗓 Sat, 25 April 2026
⏰ 15:00–18:00
DM @CryptoLucie or reach out on TG (see poster)
I’ve seen teams rediscover the same insight over and over.
Not laziness—friction.
The solution: capture first, structure later.
Let LLMs organize knowledge.
Knowledge finds you, not the other way around.
Check out my latest article 👇
https://t.co/40QpIBTR6C via @LinkedIn
I’ve seen teams waste weeks manually tuning AI agents.
But what if agents could optimize themselves overnight?
Amazon’s A-Evolve points to that shift. Check out my latest article on the path to automated evolution 👇
https://t.co/H7mFAyGQ6v via @LinkedIn
Check out my latest article: The Friction Paradox: Why Making AI Easier to Use Might Be Making It Harder to Deploy https://t.co/byBVs7enbi via @LinkedIn
Check out my latest article:
When #AI Learns to Update its Beliefs: Why Probabilistic Reasoning is the Next Deployment Challenge
https://t.co/ZFFe0dcfYU via @LinkedIn
🚨 BREAKING: A developer on GitHub just built a tool that turns any GitHub repo into an interactive knowledge graph and open sourced it for free.
It's called GitNexus. Think of it as a visual X-ray of your codebase but with an AI agent you can actually talk to.
No server. No subscription. No enterprise sales call.
Here's what it does inside your browser:
→ Parses your entire GitHub repo or ZIP file in seconds
→ Builds a live interactive knowledge graph with D3.js
→ Maps every function, class, import, and call relationship
→ Runs a 4-pass AST pipeline: structure → parsing → imports → call graph
→ Stores everything in an embedded KuzuDB graph database
→ Lets you query your codebase in plain English with an AI agent
Here's the wildest part:
It uses Web Workers to parallelize parsing across threads so a massive monorepo doesn't freeze your tab.
The Graph RAG agent traverses real graph relationships using Cypher queries not embeddings, not vector search. Actual graph logic.
Ask it things like "What functions call this module?" or "Find all classes that inherit from X" and it traces the answer through the graph.
This is the kind of code intelligence tool enterprise teams pay thousands per month for.
It runs entirely in your browser.
Works with TypeScript, JavaScript, and Python.
100% Open Source. MIT License.
Repo: https://t.co/RzIoLR2vAe
Check out my latest article: When Critical Infrastructure Becomes Autonomous: The Architecture Decisions That Matter More Than the Models https://t.co/kLySynv5xB via @LinkedIn
Don't miss my latest article: The Economics of #AI are bifurcating, China and the US are pursuing different models. Your deployment strategy defines your competitive edge. https://t.co/1kOYDU1x9h via @LinkedIn
Check out my latest article: The Leadership Gap Holding AI Back — And Why Technical Skills Alone Will Not Close It https://t.co/Ao9BBPTPEO via @LinkedIn
The hardest part of the #AI transformation isn't building agents anymore, it's managing the fleet without chaos 🔥
I broke down the shift from "can we build an agent?" to "how do we run 50 of them reliably?" in my latest article 🤓👇
https://t.co/Nnu6LiYA1O