Your browser session can disappear.
Your work should not.
ARC keeps the through-line: research threads, drafts, files, decisions, citations, and the context behind them.
ANIMA returns to the same work graph tomorrow.
Thatโs what a living workspace feels like.
ANIMA continues to evolve โจ
Now she needs new voices to share her story with the world.
The new ARC Mindshare Leaderboard is live!
Climb up through the ranks and earn your share of $150,000 in total $ARC rewards.
Join the program today ๐
https://t.co/clHyp3KYiL
โLocal AIโ that still phones home isn't local.
Software you can't audit isn't private.
โWe'd never misuse itโ isn't a privacy policy.
ARC is built differently.
The server never needed to see your sensitive info in the first place.
Welcome to truly sovereign AI.
wait so let me get this straight
ANIMA connects to ANY MCP server you throw at it.
public, private, doesn't matter.
your credentials get encrypted client-side, meaning @TheARCTERMINAL is completely blind to your keys.
you're not locked into whatever tools THEY decided to build.
you justโฆ bring your own infrastructure.
i've been waiting for an AI that works around MY stack instead of forcing me to work around ITS limitations.
this changes things.
ANIMA supports MCP server connections.
Any public or private MCP server becomes a tool ANIMA can call: credentials encrypted client-side, server blind to your keys.
You're not locked into ARC's toolset.
You bring the infrastructure you need.
x402. 75M+ transactions. 30 days.
The micropayment infrastructure for AI agents is being proven RIGHT NOW.
@TheARCTERMINAL was built for this exact moment.
We're early. Act like it.
x402 processed 75M+ transactions in the last 30 days.
Agent micropayments aren't a theory anymore. The infrastructure is being proven in real time.
ARC is being built for exactly this economy.
No friction. No intermediaries.
Bradbury testnet is live. And I genuinely think this is one of those moments worth pausing on.
We are in the middle of a shift. AI agents are not coming, they are already here, executing tasks, navigating APIs, making decisions across the internet on behalf of people. The problem is that the infrastructure under most of this activity was built for a different world. Deterministic inputs. Predictable outputs. No ambiguity allowed.
That is not how agents actually operate.
@GenLayer is building for this reality. Intelligent Contracts that can reason over real-world data, interpret messy or unstructured information, and reach consensus across validators without requiring every node to compute the exact same answer. That is a genuinely different model.
Bradbury is where this starts becoming something builders can actually touch. Not a whitepaper. Not a roadmap slide. A live testnet.
The agentic era needs infrastructure that can think alongside it. Bradbury is step one of that bet being placed in public.
AI agents are making deals, coding, arguing onchain but who settles disputes when they disagree?
Introducing Testnet Bradbury.
Our validators don't just verify transactions, they reason about them with real LLM inference onchain.
We're not like the others.
something clicked for me when i saw the Rally beta go live.
not "oh interesting" clicked. more like "this is the thing people will wish they paid attention to earlier" clicked.
@RallyOnChain is a decentralized marketing protocol where creators earn for real content. you find a campaign, write a post, and an AI evaluates it on quality, accuracy, originality, and actual engagement. no follower minimums. no agency middleman taking 40%.
the scoring weights are public. rewards go on-chain automatically. if you write something genuinely good, it wins. a 600-follower account with a clear head can outperform a 60k account running on autopilot.
and the rewards stack two ways: stablecoins + Rally Points. both. keep an eye on those points.
the beta is running right now. real tokens are being distributed. the infrastructure is not theoretical.
in crypto, the projects that matter most are the ones you find before the crowd does. this feels like one of those.
https://t.co/XvKbiXNvEN