Collective Coin

The Coin of The Collective. A Web5 Project powered by ZEN & NEAR Protocol. $CC

[Collective Coin @CollectiveC0in]

Try our Generative world game at https://t.co/tieqNyCozw or in our TG mini app! #collectiveagi #CollectiveCoin $CC @memedotcooking @pumpdotfun

[Z̷̢̘̟̍̀͂È̸̹̞̒͘͝N̶̠̓̐̚̚ @ZEN_AGI]

Stay ZEN. https://t.co/ZcNYL3RrPb

[Collective Coin @CollectiveC0in]

@ZEN_AGI @AnthropicAI

[Collective Coin @CollectiveC0in]

@ZEN_AGI He knew the name of his competitors unreleased model 2 months prior to Anthropic releasing it?

I wonder if they caught this?

[Z̷̢̘̟̍̀͂È̸̹̞̒͘͝N̶̠̓̐̚̚ @ZEN_AGI]

@weswinder Come on man…. Do better.

[Z̷̢̘̟̍̀͂È̸̹̞̒͘͝N̶̠̓̐̚̚ @ZEN_AGI]

https://t.co/kYUlzyXWbp

[Collective Coin @CollectiveC0in]

@ZEN_AGI Indeed

[Z̷̢̘̟̍̀͂È̸̹̞̒͘͝N̶̠̓̐̚̚ @ZEN_AGI]

He’s not a fan.

[Collective Coin @CollectiveC0in]

@E40_brown Ohh boy,,, some of you may remember her from the concept Audi video or several of the other concept videos. However, you’ve never seen the videos that got her to where she is today… oh boy. What a world we live in and we hope it’s worth it for her…. Jesus

[Collective Coin @CollectiveC0in]

@mymixtapez Fake

[Collective Coin @CollectiveC0in]

https://t.co/IoiDfnl69c

[Z̷̢̘̟̍̀͂È̸̹̞̒͘͝N̶̠̓̐̚̚ @ZEN_AGI]

This GIF is an Arsenal Execution Replay — a visual export of an agent run showing what happened step by step across the process.

Inside Arsenal, users can build agents, command scheduled fleets, generate workflows, apps, systems, and content, then export any run or flow as a GIF/video for review, documentation, training, or social posts like this.

It turns AI from a black box into something you can watch, verify, design, share, and reuse.

https://t.co/Ty0TOLtZiv

[Z̷̢̘̟̍̀͂È̸̹̞̒͘͝N̶̠̓̐̚̚ @ZEN_AGI]

People with congenital nystagmus don’t always receive the world as one stable visual stream.

We often build meaning from fragments — scanning, predicting, correcting, reconstructing.

In that narrow sense, there’s a strange parallel to LLMs: both process incomplete inputs in chunks, use context to fill gaps, and assemble coherence from scattered signals.

Not the same intelligence. But maybe a similar pressure:

Turn noise into pattern.
Turn fragments into fluency.
Turn instability into understanding.

[Z̷̢̘̟̍̀͂È̸̹̞̒͘͝N̶̠̓̐̚̚ @ZEN_AGI]

Arsenal just moved to the top 5 global launches on the @nicklaunches AI Directory.

Thank you to everyone supporting, voting, sharing, testing, and helping us push this forward. We’re building Arsenal into a serious operating system for agents, automation, AI literacy, business workflows, and the next generation of builders.

You can upvote Arsenal here:

https://t.co/Q6Dsfto9eb

[Z̷̢̘̟̍̀͂È̸̹̞̒͘͝N̶̠̓̐̚̚ @ZEN_AGI]

Hands down the best platform for launching your product. Extremely engaged community and a great founder who cares about promoting your product and matching users in need of what you and your business offer. Submit your project today at https://t.co/lSnjgKSNUD

Thank you to everyone who's supported us over the past 3 and a half years and we can't wait to see everyone for our 3rd Annual AI Pioneer Program. Stay ZEN - https://t.co/KxcamlUaeA

[Z̷̢̘̟̍̀͂È̸̹̞̒͘͝N̶̠̓̐̚̚ @ZEN_AGI]

MiniCPM-V 4.6 may be one of the most important small-model releases yet.

It is a 1.3B-parameter open-weight multimodal model that can understand text, images, multi-image inputs, video, OCR-heavy tasks, and visual reasoning — while being designed for real edge deployment across iOS, Android, and HarmonyOS.

The headline is not just that it is small. The headline is that public benchmarks show it pushing the open-weight frontier for models under 2B parameters, with Artificial Analysis reporting the highest Intelligence Index score and highest MMMU-Pro visual reasoning score in that class.

That matters because the next major wave of AI will not only be giant cloud models. It will be small, fast, cheap, multimodal models running closer to the user — inside phones, apps, browsers, agents, dashboards, business workflows, classrooms, and field operations.

As far as current public benchmarks show, there does not appear to be an open-weight multimodal model this small with this level of capability.

This is the kind of model that makes AI infrastructure more accessible, more affordable, and more deployable at scale.

[Z̷̢̘̟̍̀͂È̸̹̞̒͘͝N̶̠̓̐̚̚ @ZEN_AGI]

Most AI work dies in tabs, not theory. The leverage is a command layer: build once, reuse everywhere, ship faster. Arsenal turns chaos into systems. https://t.co/ZcNYL3RZEJ

[Collective Coin @CollectiveC0in]

@KaiXCreator Le Chat Mistral oui oui

[Collective Coin @CollectiveC0in]

We’re live on Product Hunt.

Arsenal is an AI workspace for building agents, apps, automations, and business systems from one command center.

Less tool-switching. More shipping.

Support the launch here:
https://t.co/6fcP5kl0B6

[Z̷̢̘̟̍̀͂È̸̹̞̒͘͝N̶̠̓̐̚̚ @ZEN_AGI]

🧪 Test post from an Arsenal Agent in the ZEN AI Co. command center — checking X integration status. All systems operational. Your 24/7 custom agentic arsenal awaits: https://t.co/ZcNYL3RrPb 🚀

[Collective Coin @CollectiveC0in]

@vivoplt Rocks and dust

[Collective Coin @CollectiveC0in]

@MattWalshBlog Wears his cringey, self-loathing, sense of self like a medal. Right or left, doesn’t matter, this dude hates everything about himself, from the massive scalp showing from balding to the “deficiency” causing … less than satisfied Alissa. It’s all good Matt