Elementalist

Computing power is growing, models are upgrading, but costs remain consistently high. The barrier for many AI applications isn't technology—it's infrastructure.
This is why @0G_labs' direction impressed me. It's attempting to rebuild the underlying structure of AI using blockchain.
0G's modular architecture includes a high-performance data availability layer, a distributed storage network, and an execution environment designed for AI applications. These modules together form an on-chain computing environment specifically designed for AI.
AI no longer has to run only on servers owned by large t

Many industry transformations occur at the experience layer rather than the technology layer.
The trading industry is no exception.
Technology continues to advance, but barriers to entry for ordinary users participating in trading persist.
Strategy is difficult, information is scattered, and learning costs are high.
When I started researching @easydotfunX, one clear impression emerged: it is redesigning the pathway for learning to trade.
Through social trading and leaderboard systems, strategies from excellent traders can be observed and learned by the community in real time.
Users can not onl

Sometimes innovation in Web3 is not about more complex financial models, but about bringing real-world experiences on-chain.
When I first saw the @watchdotfun model, my initial reaction was surprisingly simple. It turns out blockchain can have such a direct connection with luxury watch collecting.
Watchdotfun has built a watch raffle platform based on on-chain mechanisms, where users can participate in activities to win authentic high-end timepieces, such as Rolex, Audemars Piguet and other collectible brands.
The entire raffle process is completed through on-chain randomization mechanisms, wi

Sometimes, the true change in an industry isn't the launch of a new protocol, but the establishment of a new value logic.
When I first deeply experienced @RiverdotInc and @River4fun, my biggest impression was that they are quietly transforming the definition of participants in DeFi.
In the past, most DeFi protocols had only one way to contribute: capital. The larger your capital, the more rewards you received.
Community discussions, content dissemination, and knowledge building were important, but they were almost never included in the value system.
River's emergence changed this struc

If you string together the technological waves of the past decade, you'll discover something quite interesting.
Blockchain enabled value to flow across the internet, AI gave machines decision-making capabilities, yet robots in the physical world still rarely truly participate in the digital economy.
When I first seriously understood @konnex_world's design, I suddenly realized it's attempting to open a new door: the robot economy.
Konnex's core objective is to establish a decentralized robot task network that allows real-world robots to receive tasks, execute work, and earn rewards through on-c

Many people talk about AI and blockchain as two parallel technological paths.
On one side is models and computing power.
On the other is consensus and ledgers.
But after truly paying attention to @0G_labs, you gradually realize a problem: future AI might actually need its own chain.
0G Labs is building a modular infrastructure specifically designed for AI, with the most critical aspect being combining data availability networks with high-performance storage networks, allowing massive AI data to be quickly read and verified within an on-chain network.
AI no longer just relies on centralized clo

Many people have a common feeling when they first engage in trading.
Loneliness.
Staring at candlestick charts, refreshing market data, and making decisions that you can almost only rely on yourself for.
The trading world looks bustling, but the people actually participating in it are extremely scattered.
When I first experienced the product logic of @easydotfunX, one feeling was very obvious: it's changing the social structure of trading.
It's building an on-chain trading arena where the platform operates on the Solana and Hyperliquid ecosystems. Users can not only conduct spot and perpetual

If you carefully review the development of the internet over the past decade or so, you'll discover a problem that many people have overlooked.
Information appears to be everywhere, but it's actually extremely fragile. Websites shut down, servers go offline, project teams disband, and much of once-important content quietly disappears.
Only after truly understanding @Permaweb_DAO did I realize that some people are actually working on something more long-term—making internet content truly persist over time.
Permaweb DAO revolves around the Arweave permanent storage network, supporting ecosystem

Many Web3 AI projects talk about compute power.
GPU networks, inference nodes, compute markets.
But what I find truly interesting is another perspective.
AI is actually a market itself.
Models provide capabilities, developers need capabilities, and there should be a freely priced space in between.
In @dgrid_ai's design, this is placed front and center.
They don't just build inference networks, they've designed an open LLM and Agent marketplace.
Model developers can price themselves, providing capabilities directly to global users without depending on centralized platform distribution.
Value is