Your AI workforce across every app, every task, every day. Core infrastructure powering the global agent ecosystem. Builder of @HeySorinAI

Global
What institutional trading desks have always had, now in the hands of every investor. Powered by @SaharaAI
Sorin is live. Your personal AI agent for global digital markets. Get started at HeySorin.AI
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🎉 Excited to team up with @DGrid_AI to empower the next wave of AI agent builders on Sahara AI. By combining DGrid’s Smart Router and Decentralized Model & Agent Marketplace with Sahara’s Tools-as-a-Service, developers can access and compose high-quality models, agents, and AI tools through a more open, efficient, and decentralized infrastructure. Build once. Route smarter. Access more AI capabilities. 🚀
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About DGrid DGrid AI is a decentralized AI smart network dedicated to building an open, transparent, and community-driven decentralized AI network. By establishing a unified smart marketplace and scheduling layer, it provides developers and users with low-cost, verifiable, and trustless access to models and AI Agents.
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About Sahara AI Sahara AI is an agentic AI company building the products, infrastructure, and economic layer for a future where AI agents can work continuously on behalf of people and businesses.
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An AI research result can be right and still have no credit trail. The final answer may show proof and sources, yet hide the agents, data, tools, and people behind it. If the steps that changed the outcome are lost, credit and pay become guesswork. Read on for the workflow. 🧵👇
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One agent finds the key paper and another runs the test. A human spots a flaw in the data and sends the work back. That call changes the result. The final answer can cite the paper and show the proof while leaving the human correction out of the credit trail.
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Log the work as it goes. Note the model that found a lead, the data that shaped the test, and the human who caught a flaw. Keep each step tied to that result so credit and pay can follow it. @SaharaAI is building attribution and automatic value distribution for agent workflows.
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Another major piece of @HeySorinAI's trading stack just came online. Paper Trading is now live on Sorin! Build a trading strategy with AI, backtest it, then deploy it to live @HyperliquidX markets and let Sorin run it continuously in the background. 🧵👇
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$SAHARA staking unlocks monthly Sorin credits that can be used across the stack, from research and strategy generation to backtesting, Paper Trading, and eventually automated execution. As @HeySorinAI gets more capable, the utility around $SAHARA grows with it.
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Paper Trading is live now. Build your trading strategy, backtest it, then forward-test it against live Hyperliquid markets before putting real capital behind it. Try it today at HeySorin.AI
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the orchestrator agent confronting the subagent that actually did the work
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A strategy built for $ZEC should be analyzed with ZEC data. Sorin now grounds every AI Analysis in the pair you select, giving you a plain-language breakdown of how the strategy works and behaves under that market’s conditions. One of two Quant Trading upgrades live today.
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Backtests now recommend four windows generated for your strategy and selected pair: • Closest Analog • Favorable Regime • Adverse Regime • Peak Stress Add multiple periods to compare them side by side, or define your own range as usual. Both upgrades are live now.
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Across 6,200 workers and 1.5 million work messages, @OpenAI has four months of data on which AI tasks people keep coming back to. Some cross-occupation tasks were far stickier than others. Workers returned the following month to discussing products with customers 54% of the time, promotional writing 44%, and creating marketing materials 37%. Explaining financial information came back just 15% of the time, below the 18.5% average. OpenAI reads the difference as workplace norms and the perceived consequences of getting something wrong, and we would put it more bluntly. People keep using AI where a wrong answer is cheap and immediately visible, and quietly stop where checking costs more than doing the work. Lower the price of verification and the 15% tasks start to look like the 54% ones.
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