[Alpha Pick - MiniMax] 20M MAU on Talkie. 200+ countries. 100K enterprise API customers. then they shipped M2.5 and hit #1 on OpenRouter. 475B tokens in a day. distribution first, model second. MiniMax did it in the right order.

Most people think AI automation = API integration. But there’s another model: AI that learns directly from user interface interaction. Instead of coding automation, you train it through real actions.

If users help train a model through real behavior... Should they: A) Just earn rewards B) Also have governance rights C) Both Incentive design is everything.

Still actively training the LAM and stacking points. The interesting part isn't just rewards it's contributing early while the ecosystem is still forming. If you're joining: join.actionmodel.com/DAUNKNOWN Invite code: DAUNKNOWN

Watching the user count grow while still seeing people hesitate is interesting. Early phases always feel quiet… until suddenly they don’t. Momentum builds faster than people expect.

AI isn’t just evolving technically. It’s evolving economically. The platforms that align incentives between users and models will outlast the ones that simply extract data. Incentive design is the real moat.

If you’re exploring AI projects early, this one is still in its accumulation phase. You get 16,000 points just for onboarding. join.actionmodel.com/DAUNKNOWN

AI isn’t just about better answers anymore. The real unlock is AI that can navigate tools, complete workflows, and execute tasks like a human. Execution layers are where the next shift happens. Watching how Action Model builds in that direction.

Most people focus on model size. Few focus on incentive structure. In the long run, aligned incentives > bigger parameters.

ActionFi might be the most underrated piece of the ecosystem. It's not just Al training it's verified user actions for partner projects. That's a real bridge between Al and Web3 growth.

AI agents are about to redefine the internet. The mistake we made with Large Language Models? We let a handful of corporations capture all the value. Action Model is building a different path. By training through our extension, users gain fractional ownership in the Large

Access > speculation. While most wait for listings, Canopy is focused on participation. On-chain questing. Canopy Pass access. Nested Chains that evolve into sovereign L1s. This isn’t about hype cycles. It’s about structured ecosystem growth. Early interaction today =

Check out this article, it explains it simply: $GILD news on Edgen edgen.tech/news/stock/gil…

Action Model crossed 100k+ users shortly after going live. That kind of onboarding velocity is rare. Did you join before or after 50k? 👀

One underrated detail: For referral tiers to count, your referrals must complete 100 hours of training. That’s smart incentive design. It filters bots. It rewards real contribution. That’s how you protect ecosystem quality.

ActionFi is an interesting layer. Verified real users completing tasks through the extension. If this scales, it becomes more than AI training, it becomes a growth engine for Web3 projects. Bullish or too early?

Still actively training while the ecosystem grows. Early cycles are where asymmetry lives. If you’re joining: join.actionmodel.com/DAUNKNOWN Invite code: DAUNKNOWN

Watching Action Model move from launch → 100k+ users that fast was interesting. Real traction doesn’t announce itself loudly at first. It compounds quietly.

The interesting part about Action Model isn’t just AI. It’s the combination of: • Large Action Model • Browser-based training • ActionFi growth layer That stack is different from typical AI startups.

If you’re exploring early AI infrastructure plays, this is still in its accumulation phase. 16,000 points just for onboarding. join.actionmodel.com/DAUNKNOWN Invite code: DAUNKNOWN