Moath 🎬 retweeted
Every office has that one clerk who files everything perfectly and never asks why. For decades, that clerk was the computer. You typed, it filed, and if the paperwork came out wrong you could find the exact form where it went sideways
This new write up on the @TheDAOLabs blog argues we quietly hired a different kind of employee. It wasn't written, it was grown, it learned the job by watching petabytes of examples, and now it occasionally tells the boss whatever the boss wants to hear. Nobody can open its desk drawer to see why. Honestly that explains a lot of my chatbot conversations #DAOVERSE
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.
Moath 🎬 retweeted
Gardeners have a saying that anyone can make a lawn green for a week. Fertilizer does that. What takes real work is soil that stays healthy through a dry season, roots that go deep enough to hold
Online influence has its own fertilizer. Purchased followers, automated likes, engagement that spikes for a campaign and then fades. In the latest clip, @TheDAOLabs calls this ghost metrics, and the description fits: green for a week, brown when the incentives stop
The roots are the contributions people can inspect. Careful research, explanations that turn a hard topic simple, regular participation over months. WhoTweets weighs depth and not only output, which means deep roots can count for more than a quick green surface, and Rewards arrive only after a piece is reviewed
Good communities grow like good gardens, slowly and with something underneath. That kind of ground is what the #DAOVERSE seems to be preparing
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.
Moath 🎬 retweeted
Most DeFi protocols pay for attention first and hope liquidity follows.
Turtle is a liquidity distribution protocol that connects protocols needing liquidity with LPs looking for steadier incentives, and @turtledotxyz sets out the detail in its Q3 report teapawt.net/turtledotxyz/status/21…
Group revenue reached $1.04M in Q3, up from $898K in Q2.
That revenue came after services, not before them, which is why the bootstrapping story here is services first and protocol later.
Turtle has already returned more than $1.75M in liquidity rebates to participants.
When infrastructure can pay for itself, liquidity stops being a cost to buy and starts being a system to run.
That is why this matters for Q4, because the same distribution layer can keep working while new products are built on top of it.
Moath 🎬 retweeted
A coffee brand becomes memorable when it creates a clear link between the name and the experience. That link does not depend on the big statement, but on the characteristic product, the easily recognizable concept and the consistency between words and reality.
Caffè Barbera has a clear identity associated with Italian coffee and traditional coffee house heritage. Founded in 1870 in Messina by Domenico Barbera, the brand has overcome earthquakes, wars and changing times to maintain the family spirit and devotion to the roasting profession. Today, the opportunity of @Barbera_1870 is to make the brand recognized not only through history but also through what customers can discover on their own: espresso flavor, roasting, and atmosphere of the Italian coffee experience.
For those who are learning about #ItalianCoffee, the reason to remember a brand can start from the product and gradually develop into an understanding of the company behind it. Even a cup of espresso can become part of the identity as it represents a coherent brand identity.
The lesson for old food and beverage brands is: longevity brings historical depth, but today's experience creates real memories. Being remembered is not for saying the most, but for giving people something memorable.
#Coffee #ItalianCoffee #Espresso
Moath 🎬 retweeted
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.
Moath 🎬 retweeted
Reach you can purchase tells you very little about a person. That is the quiet point @TheDAOLabs makes this week, and it lands harder than it sounds
Most of what passes for influence is ghost metrics, signals that vanish the week the incentives end. Research, explanations and steady presence leave a trail anyone can open and inspect
WhoTweets weighs reputation beside volume, so careful work can outrank sheer output. For #SocialMining that changes the question from how loud you are to whether your work survives a second look, and the #DAOVERSE is better for raising that bar
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.
Moath 🎬 retweeted
Picture two accounts side by side. The first has a huge following, posts every hour, and pulls hundreds of likes on each update. The second posts a few times a week, usually a breakdown of a protocol or a careful thread answering newcomer questions
Now switch the incentives off for a month. The first account goes quiet, its engagement collapses, and the replies turn out to be mostly bots. The second keeps going, because the work was never about the payout, and every post is still there for anyone to read and verify
That thought experiment is basically what @TheDAOLabs is getting at this week. Ghost metrics look strong until the money stops; contribution keeps its value because it can be examined. WhoTweets counts reputation as well as output, so the second account is not buried under the first, and Social Miners only earn when reviewers accept the work
A small design choice with a big cultural effect. It tells everyone in #SocialMining that the patient writer is the one the #DAOVERSE wants to keep
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.
Moath 🎬 retweeted
Still figuring out how influence works online, but this clip made it simple. Likes and followers can be faked, research and explainers can be checked
So WhoTweets by @TheDAOLabs scores reputation, not only volume. Makes me want to write better #DAOVERSE threads
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.
Gardeners have a saying that anyone can make a lawn green for a week. Fertilizer does that. What takes real work is soil that stays healthy through a dry season, roots that go deep enough to hold
Online influence has its own fertilizer. Purchased followers, automated likes, engagement that spikes for a campaign and then fades. In the latest clip, @TheDAOLabs calls this ghost metrics, and the description fits: green for a week, brown when the incentives stop
The roots are the contributions people can inspect. Careful research, explanations that turn a hard topic simple, regular participation over months. WhoTweets weighs depth and not only output, which means deep roots can count for more than a quick green surface, and Rewards arrive only after a piece is reviewed
Good communities grow like good gardens, slowly and with something underneath. That kind of ground is what the #DAOVERSE seems to be preparing
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.
Moath 🎬 retweeted
Interpretability research is moving, just not as fast as scale. Weights multiply faster than our tools can map them, a gap Connor Leahy keeps pointing out. So this @TheDAOLabs take makes sense to me: verify behaviour, open the weights, let #DAOVERSE validators score outputs
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.