James Tyler🍊,💊

We said 2026 would be the year AI starts replacing computer-based work. Now it’s really happening. Layoffs are rising. AI is cutting costs. And most people still aren’t protecting themselves. Do your future self a favor. Sign up to Action Model and own the AI you help train.

@ActionModelAI Parameter efficient tuning in Action Model works on normal hardware. No need 4090s. Feeding my excel files and logs watching agents get better at routine stuff. Normies fighting back against big AI.

The orchestration engine likely functions as a distributed coordination layer. @ActionModelAI workflows appear capable of synchronizing multiple specialized agents while preserving execution consistency across shared operational states.

We’ve now hit 100M+ training hours on Action Model 👾 That’s over 11,415 years of AI training. Our community isn’t just helping improve the future of AI, they’re gaining ownership in the value they help create. Because if you’re already training AI…Why not get rewarded for it? Sign up to Action Model, download the browser extension, and get started today.

@ActionModelAI Yo Action Model sitting on 100M training hours already? That's proper distributed learning. Extension probably captures clicks, scrolls, form fills for agent fine tuning. Community owning the model weights instead of corps is the real flex. Mine's been running non stop.

@dTelecom Origin IDs are now live on @OpenSea The first on-chain identity layer for people creating real activity across our network. Meetings. Calls. Translation. Participation. 👤<>🤖 Comms. If you’re early, this is where you get recognized. Mint: opensea.io/collection/dte…

@dtelecom @opensea Hahaha my wallet looking at me like why you spending again but i had to mint. Real activity recognition is such a good idea. No more fake degens only real ones. Nice one team

The orchestration layer likely acts as an adaptive execution controller. @ActionModelAI workflows appear capable of rerouting tasks dynamically based on validation outcomes, resource availability and intermediate processing results.

Another notable direction is collaborative agent execution. @ActionModelAI seems structured so specialized agents can process subtasks independently while exchanging intermediate state through coordinated workflow channels.

Personally, I think the feeling of 'being in control' by managing everything manually is mostly an illusion. Real control is having infrastructure you trust. That's what drew me to @ConcreteXYZ. Go see what they're actually building: concrete.xyz

DeFi is maturing whether we like it or not. The era of clicking between protocols and hoping for the best is giving way to structured systems that coordinate capital at scale. That shift is underway - and most people haven't fully registered what it means yet.

Can I ask you something honestly? When was the last time you actually felt in control of your DeFi positions? Not just checking in - but genuinely confident that your capital was working as efficiently as possible. For most people, that answer is 'never really.'

Context optimization remains one of the hardest scaling challenges in AI systems. @ActionModelAI seems focused on selective memory injection, ensuring workflows receive only operationally relevant state during execution.

Around 1 billion computer-based jobs are at risk of being replaced by AI. This shift is happening whether people are ready for it or not. The real question isn’t if it happens. It’s who owns the value created by it. Right now, that value flows to a handful of billionaires and Big Tech companies. At Action Model, we believe AI should be owned by the people, not controlled by the few. There’s still a small window for people-owned AI to win. Now is your chance to do something about it.

@ActionModelAI Yo Action Model technical side is clean. Browser extension captures exact interactions to build massive Action Tree for their LAM. Lets AI replicate complex web tasks better than regular models. Training it myself and earning my slice feels good.