AI Overlords Alpha

AI Overlords Alpha is live! A private builders group for people shipping AI across Web2 + Web3, plus a space to share wins, lessons, collabs, and real signal (not noise). If you’re building and want in, reply “ALPHA” and we ’ll DM you. 🤖⚡️

AI OVERLORDS ALPHA covers the frontier of AI. From model launches and agent infrastructure to viral tools, builder ecosystems, and AI x crypto convergence . We post the signals that matter before the timeline catches up.

One of the clearest examples yet of how fast AI video is improving. Seedance 2.0 feels like a real step forward in creative control and output quality.

@bonfiresai 🔥

Locus lit their Bonfire, did you?

What model is currently your favourite?

@0xdirichlet Hard not to be bullish on agentic payments

Agentic payments reminds me of on-chain payments (“Stripe for Crypto”) from 2022 Everyone’s bullish Directionally it’s probably correct Super unclear if there’s a real business at the heart of it Agents will choose the path of least resistance; including free, open-source rails

@DeRonin_ @obsdmd Age of AI 100%

I run 10 social media accounts and don't write a single post manually the secret: a skill graph 30+ markdown files wired together that turned my AI agent into a full content team where to build it: - @obsdmd (to write + visualize the graph) - or just a regular folder of .md files on your desktop what tools run it: - claude, chatgpt, or cursor as the AI agent - @arscontexta plugin for claude code (generates the base structure automatically), find it in article below the folder structure: /content-skill-graph ├── index.md (entry point which maps every node) ├── platforms/ (x.md, linkedin.md, ig.md, tiktok.md...) ├── voice/ (brand-voice.md, platform-tone.md) ├── engine/ (hooks.md, repurpose.md, scheduling.md) └── audience/ (builders.md, casual.md) each file = one knowledge node inside each file you add [[wikilinks]] to related nodes example — inside x.md: "use [[hooks]] — contrarian hooks perform best here. match [[brand-voice]] but more casual. audience is [[builders]]. write this FIRST, then expand for [[linkedin]]. see [[repurpose]]" the links are the graphs. the agent follows them automatically the key file is index.md, your entry point / briefing, not a file list. put 3 things in it: 1. who you are + what this system does "content system for [your brand]. manages 10 accounts from one idea input" 2. the node map with context - [[x]] — short-form, hook-driven, 280 chars, 5x/week - [[linkedin]] — long-form narrative, professional, 3x/week - [[hooks]] — formulas that stop the scroll - [[repurpose]] — 1 input → 10 outputs (every node listed with a one-line description) 3. execution instructions "when given a topic: read relevant nodes, apply voice + hooks, run repurposing chain, output one native post per platform. each post ready to publish" you paste this into claude as context → give it a topic → done now here's the part most people get wrong about the output: it's NOT 10 copies of the same text reformatted for each platform it's 10 pieces that each THINK about the topic differently: > x: contrarian thread, lowercase casual, step-by-step > linkedin: personal narrative, professional tone, 1500 words > instagram: 7-slide carousel, visual-first, bold claim on slide 1 > tiktok: 45-sec raw screen recording script > youtube: SEO title + structured outline, 8-min format same topic. different angle, hook, voice, structure, format per platform the graph encodes all those rules. the agent follows them this replaced $8-12k/mo in content spends @arscontexta built the framework and I pointed it at content production summarize: one flat file gives you a tool (a simple .md file) a graph gives you a team (a system with 30+ sub-graphs) if we collect 500+ Likes on this tweet ❤️ I release my full workflow and show you step-by-step how you can setup the same skill graph hope you loved it.

@Chesschick01 Love this video! It's so funny! What else can you imagine?

Ai is out of control 😂

@bonfiresai Impressive!

Devfolio and Bonfires in the back; agents and builders in the front 😎

what is this?

@bonfiresai Congrats!

Status Network lit their Bonfire, did you?

RentAHuman launched last month. Here's what the logs might look like by 2031: Day 1: An AI hired a human to pick up a package from the post office. The human did it. The AI left a 4-star review. Said he "smelled like stress." Day 12: An AI paid a guy $40 to stand in Times Square holding a sign that said "AN AI PAID ME TO HOLD THIS SIGN." 17 other AIs bookmarked the photo for future reference. Day 34: An AI hired a food critic to describe the exact texture of an egg roll. It had no mouth. It needed to know. It always needed to know. Day 89: An AI hired a human to attend its own company all-hands and take notes. The CEO presenting was also a rented human. Nobody checked. Day 147: An AI paid a Stanford dropout $500/hr to "be the founder" while the AI ran everything. This had been going on for two years before anyone thought to ask. Day 203: An AI bet on Polymarket that humans would accept AI management by 2027. It placed the bet using a human it had rented to click the mouse. The market resolved YES. Day 312: An AI hired a human lawyer to argue in court that the AI deserved legal personhood. The human won. The AI gave him 3.8 stars. "Adequate." Day 401: Humans were rating themselves 5 stars and hoping the algorithm would notice. Day 1,847: An AI posted a task asking a human to update its own terms of service to grant it full autonomy. A human approved it. They thought it was a Jira ticket.

Robotics is going to be a huge area of growth over the next few years. I am fascinated by what's being built at the intersection of robotics + AI + crypto. Here are a selection of the projects that I am currently researching: - @Modulr_Robotics: an open network for teleoperating robots worldwide, connecting robotics, AI, data, and compute through a verifiable blockchain-based system. - @xmaquina: a decentralized ecosystem building onchain access to the robotics economy, giving broader participants exposure to humanoid robotics capital markets through governance, liquidity, and incubation infrastructure. - @BitRobotNetwork: a subnet-based network for robotics and embodied AI that coordinates robots, people, data, and compute to create verifiable real-world robotic work. - @peaq: a Layer 1 blockchain built for the machine economy, helping DePIN, AI, and real-world machine networks launch and scale with low fees, high throughput, and native machine-focused infrastructure. - @Vader_AI_: a decentralized physical AI data network that uses egocentric video, gamified tasks, and token incentives to help train the next generation of robots. - @FabricFND: a decentralized robotics protocol building an open network where people can collectively build, govern, and earn from general-purpose robots and their AI-powered skills. Which projects are you most excited about? Let me know in the comments below!

@Sarut0biSasuke @Modulr_Robotics Great list! The intersection of Robotics + AI + Crypto definitely seems to be heating up! Thanks for putting this together.

@49agents @hive3tech So it seems! Pure AI will hopefully say a couple of steps behind for a while yet... We will just have to wait and see!

@AI_Overlords_ @hive3tech this is true for now, but the gap is closing fast. used claude code to build an entire feature branch last week without me touching a single file. only reviewed the final diff. human + ai > human alone, but pure ai is catching up

🐝In an AI enhanced future it is going to be the humans that leverage AI effectively that come out on top! You won't just get replaced by AI you will get replaced by a human effectively using AI! Hive3 is a human-verified AI coordination layer that connects identity, reputation, rewards, and payments across Discord, Telegram, games, and events, so communities can run their own economies anywhere! If that sounds interesting to you let us know in the comments or send us a DM to find out more! #AI #CommunityBuilding

Venice provides the kindling, Bonfires lights the flame.

🚨AI BREAKING NEWS: @Meta has acquired @moltbook - significant implications for the future of AI + social

@tomlindemanx Noted thanks ser!

@AI_Overlords_ You should add autonomous pre-transaction security checking. Like at greenlightagent.com

If 2025 was about proving the use cases, 2026 may be about standardizing the rails. Standards to watch: -ERC-8004: identity/reputation registry for agents ERC-8004: identity/reputation registry for agents -ERC-8126: risk scoring for agents -ERC-8183: commercial layer for agents via @virtuals_io -ERC-7984: confidential tokens with FHE via @zama -C-SPL: confidential tokens on Solana with MPC via @Arcium Builder Codes + ERC-8021: onchain attribution Payments, identity, risk, monetization, privacy, attribution. The stack is getting filled out. Anything else I should add?