Today we're pleased to announce that Distilled AI has officially become a treasury company for the Oraichain ecosystem. This move solidifies our important position within the ecosystem and strengthens Oraichain's commitment to the convergence of AI and Web3. It also opens up avenues for more traditional and institutional investors to gain access and exposure to ORAI and its robust ecosystem.
Distilled AI began as a project focused on confidential computing and knowledge distillation. We have great faith in the future of these technologies in the AI space, and they will remain central to our tech stack. Nevertheless, we want to be more closely integrated with the Oraichain ecosystem, and our new business model allows us to continue building while also reinvesting our revenue directly back into the ecosystem.
Distilled AI will funnel all of its operating profits toward buybacks of ORAI, with the goal of eventually building up a treasury of ORAI. At the same time, we'll continue to innovate and build quality products that operate on the Oraichain network.
🔥 Oraichain Community Call Alert 🔥
🎙 We’re going live tomorrow on Oraichain’s X Space.
Let’s talk AI, quant trading, what's next for Oraichain.
⏰ 13:00 UTC | 📍 @oraichain
Feel free to bring your questions, ideas, and hot takes 😉
👥 Co-hosts: @tucq88, @regular__Joseph, @DucPham0212
🔔 Set your reminder & see you there!
@cryptorover Bold, but markets don't care about tweets. In this holiday chop, Noise > Signals. While bored traders blow accounts, AI is the edge that filters the noise. https://t.co/82QThWBdjw
🎄 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: https://t.co/NwNrvzEkyS
🎄 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: https://t.co/NwNrvzEkyS
Manual trading is the slowest part of your strategy.
Not another bot, but a control panel to build your own trading agents & trade across DEXs from one terminal.
Build agents, manage positions, and control TP/SL - all in Oraichain Quant Terminal.
You set the rules and risk.
The agent executes using quant models - to find entries, select orders, and run 24/7.
Miss fewer moves. Think less. Execute better.
👉 https://t.co/1HjjBqSVjX
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 👇🧵
@KobeissiLetter Most major investments are flowing into AI. The cost–performance curve continues to break downward, while agentic systems continue to rise. Products prove this in execution 👇https://t.co/ZW6uXpiepN
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 (https://t.co/4B5mn6nfbB) is already executing AI-driven, agentic trading on decentralized venues, and the window for manual-only trading is quietly closing.
👉 Try https://t.co/4B5mn6nfbB and see the proof in execution.
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 (https://t.co/4B5mn6nfbB) is already executing AI-driven, agentic trading on decentralized venues, and the window for manual-only trading is quietly closing.
👉 Try https://t.co/4B5mn6nfbB 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.
Are you preparing for new skills and roles?
📊 Negotiation, problem-solving, and leadership will matter even more in the near future because they become your edge when your teammates are autonomous agents running at machine speed.
→ Step up and become the ones who lead the way; directing, deploying, and productizing our agent teammates.
↳ Discover the way now at https://t.co/LemhFVj3hc — an agentic workspace with real-time data streams and customizable workflows. 🚀
@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 https://t.co/LemhFVjB6K and get your spotlight in this massive emerging market! 🚀
@Polymarket It’ll be “normal,” because the AI agent market is wide open and the data from @a16z and @openrouter pretty much confirms it! https://t.co/gpUMK9Dse5
@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 https://t.co/LemhFVjB6K and get your spotlight in this massive emerging market! 🚀
@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 https://t.co/LemhFVjB6K and get your spotlight in this massive emerging market! 🚀
📊 @AnthropicAI dropped fresh research using 100,000+ real Claude conversations shows just how aggressively AI is compressing work:
• Tasks that normally take ~90 minutes now shrink by ~80% with AI assistance, with a median time saved of 84%.
• Time savings vary widely depending on task complexity, human expertise, and how structured the information is (diagnostic image checks: 20% vs. information compilation: 95%).
• Contrary to popular belief, AI doesn’t hit low-wage jobs first; higher-wage knowledge tasks see the greatest acceleration because they’re longer and more text-heavy.
• If today’s AI capabilities were fully adopted across the economy over 10 years, U.S. labor productivity could nearly double long-term growth rates, on par with the post-war boom and the late-1990s tech surge.
→ The data is clear: the next wave of productivity belongs to people who can compress work with AI.
Build AI Agents, automate your workflows, and turn ideas into leverage with https://t.co/LemhFVjB6K — your vault for real AI advantage. 🚀
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:
The US economy is now BUILT on AI:
US private nonresidential fixed real investment in data centers has soared +300% over the last 3 years.
During the same period, inflation-adjusted nonresidential investment in structures excluding data centers has barely seen any growth.
These are offices, shopping centers, hotels, warehouses, factories, manufacturing facilities, and other commercial buildings.
Meanwhile, AI-related spending has contributed 62.5%, or 1 percentage point, to the 1.6% US GDP growth in the first 6 months of 2025.
Without AI, the US would be in a recession.