I like that at Altius interoperability is driven by architecture, not marketing. Their stack starts with parallel execution: an instruction-level resolver breaks down dependencies between transactions and lets you scale parallelization to the needs of the network. X-@AltiusLabs

my engine's take on the fast animation processing discussion, but with a twist: 54272> joints calculated into final poses every frame. 1024 state machines, 53 joints per character, multiple states, transitions, 1d/2d blend spaces. 4.21 ms without parallelization. #gamedev

A Google engineer just dropped a 400-page book on building agents. For free. “Agentic Design Patterns: A Hands-On Guide” covers everything production teams skip until they break it: ✓ Prompt chaining, routing, parallelization ✓ Multi-agent coordination (A2A) ✓ Memory

🤔 When people talk about "parallelization in blockchain," it's not just technical jargon — there are real business opportunities behind it. (Ex): Solana - its architecture (Proof-of-History + parallel execution via Sealevel) allows it to theoretically achieve up to 65,000 TPS.

7/ $RENDER @rendernetwork : Render showed how decentralized GPU compute powers 3D and AI workloads at scale. Sunny Osahn’s keynote and the on-chain rendered opening video highlighted why Render chose Solana for speed and massive parallelization.

Supra is the next crypto goldmine – and the reasons are truly fundamental. While others deliver nothing but hype, Supra is quietly building the infrastructure that will redefine blockchain standards: 🔹 Hyper-scalable L1 – real parallelization, no artificial bottlenecks. 🔹

See the future of blockchain in a new way. @polana_network combines the speed of Solana with the parallelization of JAM, opening up a new world for developers and users. Next-gen starts now. gPolana @crypto_range #Polana

Agent開発に必要な情報を見つけるのが難しいなぁと思っていたけど、 Claude agent SDKのドキュメント、Agent開発に重要なtipsが色々詰まってて良き 色々と金言が多い、subagentのメリットとかも整理されててよかった Subagents are useful for two main reasons. First, they enable parallelization:

Fun fact: Instead of executing transactions one at a time like Ethereum, @Monad: 1. Predicts independent transactions 2. Executes them in parallel 3. Optimizes ordering to reduce gas and latency Only a few chains (#Aptos/#Sui) do parallelization well, and none are fully EVM.

“Where is the last hope?” Not in your portfolio ❎ Not in your watchlist ❎ It’s "Polana Network" ✅ Because the next evolution of performance, parallelization, and seamless Solana compatibility starts here. @polana_network

⚡️ Linera just hits different When parallelization, microchains, and instant processing come together, you finally feel what real scalability tastes like. On-chain innovation isn’t coming it’s already here. 🚀 @linera_io #Linera #Web3 #Blockchain

🚀 Testnet Phase 3: The Proof of Parallelization Bitroot’s most intense testing round is here, and the results speak for themselves. 🔥 Thousands of ops running in parallel ⚙️ Stable block finality ⚡ Low latency even under real computational strain 🧠 Smooth execution of smart

⌨️ Search: [ Parallelization ] Parallelization allows a #blockchain to execute multiple independent transactions at once, enabling higher throughput and smoother network performance. 💬 Why It Matters Traditional blockchains execute transactions sequentially, which creates a

-Shifted to pure LangrGaphServer -Parallelization for faster writes -Proper Monitoring using LangSmith

Resource immutability enabling natural parallelization and you just realize how much of traditional finance is sequential because of architectural decisions made in the 1960s that nobody questioned…

Part - 2 (Educator week - 18) Multi-Agent Reasoning Improvement's Three Pillars Subject: How Recursive Decomposition, Aggregation, and Parallelization bring about a qualitative improvement in Sentient's Multi-Agent Reasoning. (1/7) AI's Reasoning: Now Deeper and Faster! For

gSenti first 👋 let’s unpack one of the smartest changes in @SentientAGI’s ROMA v0.2.0 ⚙️ 💡Why does “Parallel Execution” make multi-agent AI way more efficient? Let’s break it down 1️⃣ Dependency-Aware Parallelization ROMA v0.2.0 doesn’t just run tasks it thinks about which can

Great resource if You want to learn how to implement in Agents in LangGraph. You'll learn cool things like: - Schemas - Reducers - Parallelization - Implementing agents with Long-Term Mem.

Gmiden @0xMiden is shaping the next era of private, fast, and massively scalable execution. With client-side proofs, private accounts, and effortless parallelization, Miden delivers the architecture that real institutional adoption has been waiting for. It isn’t just improving