elyees dev

✨ Web Development 🚀
I am a seasoned developer who is passionate about delivering high-quality, efficient and user-friendly solutions.

[elyees dev @ElyeesT]

@ActionModelAI I think the era of monolithic assistants is ending.
2026 looks more like small, focused agents that actually finish tasks instead of giving advice.

[elyees dev @ElyeesT]

@ActionModelAI By 2026, the competitive edge won’t be compute… it’ll be alignment with the people feeding the system. The platforms that get this right will outgrow the ones that ignore it.

[Action Model @ActionModelAI]

With Action Model, every agent runs inside the rules you set.

You decide the permissions, update what the agent remembers, and review a clear step-by-step history whenever you need.

It's built so you can keep things running fast, while still understanding exactly what's going on.

[elyees dev @ElyeesT]

@ActionModelAI @w3arew3 @3vo_me @JoinSapien @orynth If I had to bet: AI becomes less centralized, more personalized, and way more accountable. People won’t just want output they’ll want traceability and upside.

[elyees dev @ElyeesT]

@ActionModelAI @w3arew3 @3vo_me @JoinSapien @orynth We’ll see a pivot from “bigger models” to “smarter coordination.” Agent ecosystems, verifiable actions, and transparent value flow will matter way more than raw model benchmarks.

[Action Model @ActionModelAI]

What’s your best prediction for AI in 2026? 👀

We’re breaking down our take live on Spaces today at 6pm UTC.

Joining: @w3arew3, @3vo_me, @JoinSapien, @orynth and many more.

Set your reminders👇🏽

https://t.co/oRIgGaYXcM

[elyees dev @ElyeesT]

@ActionModelAI It’s interesting because redistributing value to contributors isn’t just “fair” it actually stabilizes the whole network. Aligned incentives almost always outperform closed systems long term.

[elyees dev @ElyeesT]

@ActionModelAI The contributor economy is the missing layer in traditional AI pipelines. Centralized platforms rely on it but never compensate it. Good to see someone actually addressing that gap.

[elyees dev @ElyeesT]

@ActionModelAI When you think about it, contributors are basically the reinforcement engine behind these systems.

[elyees dev @ElyeesT]

@ActionModelAI Honestly the economics of AI have been upside down for a while. Models get smarter from user interactions but the users see none of that upside. A structure where the loop closes back to contributors is way more sustainable.

[elyees dev @ElyeesT]

@ActionModelAI funny thing is most AI value gets captured at the platform layer, not the interaction layer. If @ActionModelAI actually routes value back to the people generating the data + actions, that’s a legit improvement to the incentive structure.

[elyees dev @ElyeesT]

@ActionModelAI the whole “users produce the training signal but get nothing back” model has never made sense. Shifting rewards to contributors fixes a huge mismatch in how these systems grow.

[Action Model @ActionModelAI]

15,000+ posts mentioning Action Model.

That's not hype, that's a movement forming in real time.

What's happening right now is wild:
people from every corner of AI, Web3, and tech are building this vision with us, before the platform is even live.

If you want to be part of what's coming next - the early access drops, the updates, the community builds, join the Discord.

That's where everything happens first.

👉 https://t.co/FT5qjBVCKs

Thank you for being part of this. We're just getting started.

[elyees dev @ElyeesT]

@ActionModelAI @w3arew3 @ownthedoge @Ahad4293 @fayaztaher @EFAS_Ecosystem @Superp_xyz Yeah, most AI pipelines today centralize the value even though the training signal comes from millions of user actions. A setup where that flow reverses a bit feels way more accurate to how the system functions.

[elyees dev @ElyeesT]

@ActionModelAI @w3arew3 @ownthedoge @Ahad4293 @fayaztaher @EFAS_Ecosystem @Superp_xyz If contributors are literally generating the gradients that improve the model, it makes sense they should capture some value.

Decentralized workflow systems make that way easier than the old “closed model, closed rewards” approach.

[elyees dev @ElyeesT]

@ActionModelAI @w3arew3 @ownthedoge @Ahad4293 @fayaztaher @EFAS_Ecosystem @Superp_xyz What I like about this angle is that it treats user actions as part of the training pipeline instead of free labor.
If the model improves because of the community, the community should see something back.