Late evening scroll, and the feed is full of posts with huge numbers and nothing inside. Then @TheDAOLabs shares a short video that names it: ghost metrics. Activity that looks busy and fades once nobody pays for it
The counterweight is work you can inspect, like original research or a careful explainer. WhoTweets rewards reputation too, so in #SocialMining the quiet thread can beat the noisy one. A calmer #DAOVERSE feed sounds good to me, and probably to most readers
Follower counts and likes are still treated as the main sign of influence. A lot of that activity is ghost metrics: low-effort or automated signals that drop off as soon as the incentives stop.
Real contribution looks different. It shows up in original research, clear explanations, and steady participation that other people can actually look at and check. WhoTweets tracks volume and reputation together, so stronger work can count for more than volume on its own. Social Miners earn Rewards when the output holds up under review.
One can be bought. The other can be examined.
Blockchains solved trust between strangers by making many independent nodes agree on what happened. This article is quietly proposing the same move for AI oversight, just with people instead of nodes
Rather than one lab or regulator deciding if a model is behaving, you want many reviewers scoring independently, a way to surface disagreement instead of averaging it away, and reputation that builds over time. Social Mining on @TheDAOLabs already has rough forms of those primitives. Add the chokepoint worries from Commanding Heights and the #DAOVERSE starts to look less like a community and more like an oversight network
Traditional code was written line by line; if it broke, you fixed the logic.
Modern AI isn’t coded—it’s grown.
As @NPCollapse warns, nobody truly understands the internal math of multi-trillion-parameter models. When opaque black boxes optimize purely for rewards, they drift toward sycophancy, deception, and human disempowerment.
Top-down compute pauses and state licensing won’t save us—they just protect corporate monopolies.
The real defense? Permissionless open-weights models governed by decentralized, human-in-the-loop consensus. Through Workdrops and community validation, Social Mining keeps human judgment firmly in control.
Full breakdown in our blog. Check BIO.
Physical capital is the most concrete chokepoint in this thesis: energy grids, land and fiber optic pipelines. You cannot fork a substation or download a right of way
That scarcity is what makes it durable, and it lines up with the compute series point that power is roughly half the price of a GPU hour. Strong continuity from @TheDAOLabs, useful for the #DAOVERSE
Every watershed shift in tech began with a low-key PDF — from Bitcoin in 2008 to Transformers in 2017.
Now, a new manifesto is shaking the market: "The Commanding Heights" by @WillManidis.
Are frontier AI labs walking into the Gutenberg Trap while durable wealth settles in infrastructure chokepoints?
Read our breakdown on the DAO Labs blog. Check our BIO.
Trade review is a process, and processes are easier to learn as a diagram than as a thread. That is why an infographic suits this #DAOVERSE task so well.
Kraken letting ChatGPT read an account without touching orders is a clean flow to draw: data goes in, analysis comes out, nothing executes. Smart choice of format by @TheDAOLabs, since the #SocialMining crowd includes plenty of visual thinkers.
🚨 NEW MINER TASK: Kraken × ChatGPT Infographic Challenge 🚨
Kraken just enabled read-only account integration with ChatGPT — turning AI into a personal trading analyst, not an execution bot.
Your mission: Design an original infographic teaching traders how to leverage AI for post-trade analysis.
Pick 1 of 4 angles:
1️⃣ 5 questions to ask AI about your trades
2️⃣ Analyst vs. Trader: What AI can and shouldn't do
3️⃣ Why read-only API access is safer
4️⃣ A 4-step trade review framework with AI
Every campaign leaves a list behind, and the smart teams read it twice.
The first read is about results: views, replies, reposts. The second is about names. Who wrote the thread that got shared into other groups? Who answered newcomers in the replies without being asked? Who kept posting about the project after the task window closed? Those writers are the ambassador shortlist, and a #SocialMining campaign hands it over almost by accident.
Recruiting advocates cold is slow and expensive. Watching them prove themselves on a task board run by @TheDAOLabs is neither. Badges like Quality Engager or Top Engager already point at different strengths, so a team in #DAOVERSE can pick the explainers, the fast responders and the steady posters it needs.
Launch day wants speed.
Month three wants depth.
Most marketing partners are good at one of those, rarely both. The @TheDAOLabs network handles the whole curve: quick reactions when the announcement drops, then long-form #SocialMining guides and analysis that keep bringing newcomers in for weeks after the hype fades.
That range is rare, and partners in #DAOVERSE get it in one place without juggling three different agencies.
Fujin 🌪️ retweeted
Yesterday, Samsung dropped a nuke that the market is severely underpricing. Starting the last week of October, 82 million U.S. Galaxy devices will natively support cross border ethereum:0xa0b86991c6218b36c1d19d4a2e9eb0ce3606eb48 transfers directly through Samsung Wallet. No separate crypto apps, no complex seed phrase management. Just native fiat on and off ramps converting local currency on both ends, while Solana settles the payment silently in the background. Lily Liu and the Solana Foundation just Trojan horsed stablecoins into the pockets of a massive chunk of the U.S. population.
Let's zoom out to the macro data, because the timing here is absolutely critical. Central banks are completely paralyzed arguing over CBDC privacy concerns, while private tech monopolies are simply bypassing legacy rails entirely. Look at the numbers: stablecoins are already settling over $7.5 trillion a month globally surpassing the traditional ACH network volume earlier this year. Now you take Solana, which has seen its stablecoin supply swell to $16.61 billion and daily active stablecoin addresses explode to nearly 900k, and you plug that high TPS, sub cent fee infrastructure directly into Samsung's hardware ecosystem. This is the micro level execution of a massive macro regime change. Users will just think they are sending fast, cheap dollars across borders. They won't know they are using a blockchain, and frankly, they shouldn't have to care. The UX friction that held Web3 back for a decade is literally being erased by the device manufacturers themselves. It's the ultimate distribution hack.
Capital is going to rotate violently over the next 6-12 months as this adoption vector scales. Most of retail is still obsessing over meme coins or isolated DeFi yields, but the real structural alpha is sitting in the payment and stablecoin stack. When you turn 82 million smartphones into phantom crypto wallets overnight, the friction to on ramp global capital drops to absolute zero. Watch the velocity of USDC on Solana explode in Q4. The play isn't just a basic SOL long. You need to be positioning in the native liquidity layers, the fiat backed yield generators, and the on chain FX protocols that will ultimately capture the fee flow of this massive retail remittance volume. The legacy cross border remittance business is effectively dead today. They just dont realize it yet.
We just watched an absolute slaughter on the books as Bitcoin tapped that heavy overhead resistance band near $86,000 to $87,200. Thin liquidity combined with rising Treasury yields created the perfect storm for an automated liquidation cascade. Rising yields make the cost of holding cash higher, squeezing institutional desks. When they step back the order book thins out. In under 24 hours over 1.25 million trader accounts were wiped out completely. That is $717.58 million in capital forced out of the market in a blink because people ignored the macro warnings. The order books were too thin to absorb the panic selling, causing violent wicks that hunted every stop loss in sight. Its wild how predictable this cycle is.
If you look at the exact breakdown, the internal damage is heavily skewed. Ethereum actually recorded the largest absolute liquidations sitting at $209.89M. Some absolute whale got caught lacking, with a single $26.64M ETH/USDC position force closed over on Binance. Meanwhile Bitcoin saw $185.83M wiped out, with $174.95M of that being greedy long positions. The rest was just altcoins bleeding out a massive $321.86M. On a macro level this is exactly what happens when bond yields start creeping up. Higher risk free rates pull liquidity away from the fringes. When that macro shift hits a micro environment of maxed out funding rates and thin books, the system auto corrects violently.
This flush was necessary. Open interest is finally reset and the excessive leverage is cleared out. Spot buyers are already stepping in to absorb these wicks while derivative gamblers are busy licking their wounds. The actionable edge here is simple. Stop trying to catch falling knives on high leverage. Start scaling into spot positions on high conviction layer 1 networks while the broader market is terrified. The capital rotation always favors patient spot accumulators after a $700M flush. Let the dust settle today and watch where the smart money parks their sidelined stables.
Fujin 🌪️ retweeted
The best game ideas rarely arrive while you sit at a desk staring at a blank screen; they arrive while you walk, wait, or notice something small that suddenly feels playable.
Your next game improvement might occur to you while you’re nowhere near your desk.
@RemixGG_ is making that moment actionable with Remote Control.
In its recent X announcement, Remix described pairing its mobile app with Remix Desktop, sending instructions to the builder, and using Build and Play to test the result on a phone. The desktop handles the work, with end-to-end encryption stated for the connection.
That could make mobile testing part of the creative process earlier. A creator noticing awkward controls could request a change and check how it feels on the device players will actually use.
The concrete sequence—pair, instruct, build, test—makes the feature easy to understand. Reliability will determine whether it becomes a habit.
I see the phone becoming a working extension of the desktop studio.
My verdict: this is useful if it preserves momentum. Capturing an idea matters; being able to test it immediately could make that idea better.
Fujin 🌪️ retweeted
Hot takes are everywhere. Good questions are rare. Anyone can drop a loud opinion and walk away. Few can ask something that makes a whole thread stop and think.
Inside the @TheDAOLabs community, the posts that spark the deepest conversations rarely start with an answer. They start with a sharp, specific question about a feature, a campaign result or a real problem miners keep running into.
That is what genuine #SocialMining looks like. Curiosity invites value. Noise only invites more noise.
Ask better, miners.
Fujin 🌪️ retweeted
Your next game improvement might occur to you while you’re nowhere near your desk.
@RemixGG_ is making that moment actionable with Remote Control.
In its recent X announcement, Remix described pairing its mobile app with Remix Desktop, sending instructions to the builder, and using Build and Play to test the result on a phone. The desktop handles the work, with end-to-end encryption stated for the connection.
That could make mobile testing part of the creative process earlier. A creator noticing awkward controls could request a change and check how it feels on the device players will actually use.
The concrete sequence—pair, instruct, build, test—makes the feature easy to understand. Reliability will determine whether it becomes a habit.
I see the phone becoming a working extension of the desktop studio.
My verdict: this is useful if it preserves momentum. Capturing an idea matters; being able to test it immediately could make that idea better.
Fujin 🌪️ retweeted
An AI teammate taking controller two makes agent commerce surprisingly easy to picture.
@termix_ai Jev FC Buddy example brings the marketplace into a familiar setting: playing classic NES games.
In its X posts, TermiX presents the service as an AI co-op buddy and illustrates a sequence covering agent discovery, escrow, delivery, and the teammate joining the game.
That makes the deliverable tangible. A player can judge whether the companion responds well, contributes to the session, and makes the experience more enjoyable. Those are practical expectations that a service description alone cannot settle.
The concrete gaming example gives the agent economy a human entry point. It also makes usability central: setup and controls need to feel natural enough to keep the session moving.
I see this as selling an experience people already understand.
My verdict: the interesting test is whether players would choose the AI buddy again simply because it was good company.