

Distilled AI
760 posts

@distilled_AI
Driving value through the @Oraichain ecosystem. AI x Web3.






🎄 Holiday markets expose the truth about price traps. Noise looks like “signals,” and bored traders blow accounts. This is where AI and real tech earn their keep. Oraichain Quant Terminal already proves it. See it in action: quant.orai.io

🎄 Low volume, weak liquidity, turbulent price trap holiday markets. Noise dominates “signals”. Boring traders blow accounts, not markets. Oraichain Quant Terminal designed for chops. Disciplined traders get competitive advantage. Holiday “safe zone” configuration yields ~21% daily returns (up to 97% in extremes). | SL 0.3-0.5% | TP 1.0-2.5% | Vol 0.7-1.0 | 3-5 signals The top-performing setup (up to 37.5% daily): Vol 1.0 | 5 signals | SL 0.5% | TP 2.5% It works because: In weak liquidity, tight stops are sought, sub-1% scalps cause fee churn, and volatility filters await meaningful swings. More signals = clearer range edges ⚠️ Holiday markets reward discipline, not financial advice.


Remember the Dec 19 $BTC crash? They panicked. We shorted. While the market bled, Oraichain Quant Terminal (Top10 assets model) signaled the drop early. During the extreme volatility zone, total system PnL delivered $189.11 in profit per $1 of risk. Here’s how it worked 👇🧵

The AI cost–performance curve is still breaking downward. Performance (GPQA) keeps climbing toward PhD-level reasoning, while cost per million tokens collapses on a log scale. When cost drops as capability rises, AI stops being a demo tool and becomes deployable infrastructure. While most are still talking about AI, Oraichain Quant Terminal (quant.orai.io) is already executing AI-driven, agentic trading on decentralized venues, and the window for manual-only trading is quietly closing. 👉 Try quant.orai.io and see the proof in execution.



No signs of an end to rapid gains in AI ability at ever-decreasing costs (which is a log scale) yet. I have to update this monthly or more frequently at this point. All AI benchmarks are flawed, but GPQA Diamond has been a pretty good one, though likely close to being maxed out.



@a16z & @openrouter just analyzed 100T+ real-world tokens across 5M users and 300 models and the signal is impossible to ignore: ▸ Tool calls exploded from ~0% → ~15% this year. ▸ That’s early but clear evidence that agentic workflows (code execution, web/tools, retrieval, etc.) are becoming mainstream among builders. → The agent market is wide open. Ready to productize your idea into an agent? Build with Thesis.io and get your spotlight in this massive emerging market! 🚀

BREAKING: @Grok recorded the highest monthly traffic growth for November, beating ChatGPT, Gemini, Claude, Perplexity and Copilot, as per the latest @Similarweb data. Grok +14.74% 🥇 Gemini +14.36% Copilot -1.95% Deepseek -2.70% ChatGPT -5.21% Claude -8.47% Perplexity -13.64%

@a16z & @openrouter just analyzed 100T+ real-world tokens across 5M users and 300 models and the signal is impossible to ignore: ▸ Tool calls exploded from ~0% → ~15% this year. ▸ That’s early but clear evidence that agentic workflows (code execution, web/tools, retrieval, etc.) are becoming mainstream among builders. → The agent market is wide open. Ready to productize your idea into an agent? Build with Thesis.io and get your spotlight in this massive emerging market! 🚀

The State of AI: analyzing 100 trillion tokens in 2025

Based on Claude’s estimates, the tasks in our sample would take on average about 90 minutes to complete without AI assistance—and Claude speeds up individual tasks by about 80%. The results varied widely by profession:
