1/ The Pi Squared VSL Devnet is live. This is more than a launch; it's a leap toward making verifiability and parallelization the norm in decentralized computation. Explore the future today ↓

Tomorrow I'll give a talk at the Better Software Conference on parallelization. I'm squeezed in between these giants. No pressure :-O . Come tune in if you want to watch!.

How #dYdX v4 changes the game: Per-Market Parallelization & Modular PnL. The new architecture of @dYdX makes it faster, more scalable, and better for pro traders. Let’s break down two powerful features of its Cosmos-based design. 🧵👇

Only 1% of n8n builders use this trick. It’s called parallelization, and it can save you hours. I just dropped a quick breakdown showing how it works + when to use it. Watch the full video here 👉

Want to hear about a new approach that scales with massive parallelization, generating diverse, high-performing DNN policies in minutes?. Join our presentation at @GeccoConf on Friday 18th July 11:00am!. Work done with @maxencefaldor & @CULLYAntoine!. #GECCO2025

Parallelization

I made major updates to our AI hedge fund. We now have dynamic LangGraph creation. This unlocks:.1 • agent parallelization.2 • improved research skills.3 • realistic team hierarchies. Next, we're adding background agents.

Every time I'm at an airport with these, I'm reminded that most people don't get parallelization, which means it doesn't work.

Day 1 of visualising @0G_labs. Understanding 0G Labs:.Most chains scale compute or storage. But @0G_labs is building an L1 that scales everything. Its modular design unlocks AI-native apps, hyper-parallelization, and real-time data economies. Dive in 👇.🔗

amazing what parallelization can do:. un-optimized: ⏱️ Model initialization: 47.479622334s.optimized: ⏱️ Model initialization: 3.750008583s. 12.65x faster. thanks rayon!

GAXELAR 🧡💜GMONAD.When @monad_xyz meets @axelar , execution meets interop. Ultra-fast EVM with parallelization. Seamless cross-chain messaging with Axelar . Builders now have speed and reach 🧡no compromise. This is how Web3 scales 🧡🔥

Cysic isn't optimizing around software limits it's bypassing them entirely. By moving Zero-Knowledge computation to custom silicon, @cysic_xyz transforms the prover from a bottleneck into a backbone.This isn't parallelization it's purpose-built ZK Hardware, fine-tuned for

Monad is a next-generation Layer 1 (L1) blockchain designed to be EVM-compatible while delivering massive parallelization and scalability. It aims to process thousands of transactions per second (TPS) without compromising on decentralization or composability. Big Love @monad_xyz

Blockchains are great at consensus, but terrible at computation and that’s a feature, not a bug. Every validator has to re-execute every transaction to ensure correctness. That means:. - No parallelization.- Thousands of nodes duplicating the same work.- Gas limits to prevent

Welcome to another episode :.Did you know?. Anoma supports fractal scaling: independent "mini‑ledgers" for specific shards or regions. They settle locally, then sync across the main network. This strategy delivers parallelization and ultra‑low latency for real‑world dApps.

One interesting aspect I like about the @monad_xyz chain is that it's focused on parallelization, allowing for faster transaction processing and lower fee. Tbh if you haven't Interacted with the monad testnet before I don't know what you are waiting for, it's really fun trying to

What did I cook? Multi-GPU Parallelization that’s right, that’s what it was. That’s the reason. Welcome to the Hooleesheet GANG!. Prove your #PROVER @SuccinctLabs

I also dove into Bless's compilation pipeline. they're doing whole-program optimization across the network 🧵. source code gets analyzed for parallelization opportunities. automatically splits functions into parallel tasks. no developer annotation required. dependency graph

FastSet breaks the rules. A distributed protocol with native massive parallelization. Zero node communication. No sequencing. No block proposals. Result: High performance, reimagined. 🚀.