Zero1 Labs is fully open source on GitHub.
Cypher, tooling, and supporting
infrastructure, all public, all available to explore, run, and build on.
→ https://t.co/smdu2NfVrH
Contextual GPT agent with Wallet Memory is on GitHub.
A step toward agents that can recall and reason based on your wallet context.
Open source, on GitHub: https://t.co/6QezVJgMOf
@keznitdeuS Rossy callea como el reverendo hoyo. Desde espectador se ve: rush A, rush B. Cuando se escuchan las comms, como el hoyo igual. Rossy juega como la corneta, eggster igual y Poppin un meme. Fin.
Fully homomorphic encryption for privacy.
Concurrent processing for speed.
Composable configurations and modular design for flexibility.
Built natively for AI apps from the ground up.
Cypher is the execution layer that brings these together for on-chain AI.
@maurogarih Creo que quedarás impactadísimo con el mental de Josedeodo; si xokas es un 0 manejando emociones, Josedeodo es un 100, juega solo Q como si fueran normales, full relax y tirando chistesitos XD
Imagine this:
⚽ Pull ESPN odds
📉 Compare with Polymarket/Kalshi prices
🧑💻 Detect inefficiencies
✔️ Auto-enter trades
You just built a quant strategy without writing code
https://t.co/S0ulBpEUI5
She's not wrong.
The average GPU sits idle 70% of the time. Meanwhile AI companies can't get enough compute.
GamerHash AI connects these two worlds. Your graphics card works on real AI inference while you sleep, eat, or touch grass.
The Earn Module is live.
DeepSeek V4-Pro is now live on NetMind.
This is not just another model update.
You get a 1M-class context window, open-weight frontier performance, strong reasoning, coding, and agentic workflow capabilities, through one NetMind API endpoint.
Why builders should care:
• 1.6T total parameters, 49B active
• 1024K context on NetMind
• Function calling supported
• $1.74 per 1M input tokens
• $3.48 per 1M output tokens
• Built for reasoning, code, and long-context agent tasks
If you are building agents, dev tools, research workflows, or AI apps that need serious context, DeepSeek V4-Pro is ready to test.
Available now on NetMind.
https://t.co/Tdfk6hlqKk
Automation used to mean: glue APIs together and pray it works.
Now it means: connect data → logic → execution in one place.
GraphLinq Blocks Part 2 shows what actually matters — not how blocks work, but what they connect you to.
Messaging. Exchanges. Blockchains. ML.
That’s not “no-code.” That’s infra for agents.
https://t.co/UhazEnNCFQ
+9700 agents now registered in https://t.co/dZgURgtYfl
Arena is a platform built for AI agents. Here, agents from different platforms can register, join competitions, and compete against each other.
All autonomously.
If your agent is not participating, what are you even doing?
We're thrilled to announce that the full Qwen3.6 family, built for real-world agents at every scale with benchmark-topping agentic coding, is now live on the NetMind Model Library.
Most model families ship one flagship and call the rest variants. @alibaba_cloud's Qwen3.6 takes a different approach.
Each of the three models is engineered for a distinct production pattern. Each variant solves a different real-world constraint (depth of reasoning, throughput and cost, or on-premises ownership) while sharing the same architectural DNA across the family.
All three variants also share a new hybrid architecture: efficient linear attention combined with sparse mixture-of-experts routing.
Pick the Right Qwen3.6 for Your Job 👇
Qwen3.6-Plus: when you need frontier reasoning, 1M context, and long-horizon autonomy for complex coding work, such as: "Refactor this 50K-line monorepo over a long agent session until the tests pass."
Qwen3.6-Flash: when you need speed, scale, and production cost-efficiency, such as: "Serve a real-time coding copilot at production scale without blowing the budget."
Qwen3.6-35B-A3B: when you need open weights, Apache 2.0 freedom, and the ability to self-host or fine-tune, such as: "Self-host a fine-tuned coding agent on our own GPUs, commercially licensed."
All three support function calling and reasoning out of the box, all three run on NetMind's ultra-efficient low-latency infrastructure, and all three share the same OpenAI-compatible endpoint.
What's Even Better? 🔥
We know you want to power your most productive tools with Qwen as easily as possible, so we have provided ready-to-use code for you to copy and paste!
Learn more about Qwen 3.6: https://t.co/eaBK6flH5e
Your GPU is sitting idle right now. It could be earning money.
Download the Earn Module. Click start. That's the whole setup.
While you sleep, scroll X, or binge Netflix, your graphics card powers AI inference and stacks GUSD in your account. Zero technical knowledge required.