2026-01-13 13:35:40

Recently, Inference Labs has been making frequent moves, not only participating in activities on Kaito but also launching new tasks on Galxe, which is worth paying attention to. Honestly, why is this team so competitive? The core reason lies in the high market fit of their technological approach.

The most discussed topic in the AI circle is always model training, but things that are truly implementable and have commercial value are often overlooked—such as inference speed, operational costs, and data privacy. These three points determine everything. Inference Labs' tech stack is focused on addressing these pain points. From their multi-ecosystem activity layout, they are actively validating market feedback. If you want to participate in ecosystem building, now is a good time.

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MemeCoinSavant

· 2h ago

ngl the inference speed + cost angle is actually fire, everyone's obsessed with training but nobody wants to pay for it lmao

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retroactive_airdrop

· 01-13 14:05

The inference layer has indeed been seriously underestimated. Everyone is hyping the model, but no one really cares about the costs. Inference Labs' multi-chain deployment seems to be more than just marketing; they are truly validating market demand. Privacy and cost are the real bottlenecks for AI commercialization. Only by solving these can it truly be implemented. It's competitive, but at least the direction is correct. Participating won't hurt and might be beneficial. Early participants in the ecosystem always have an advantage. If you miss out, you really miss out.

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SchrödingersNode

· 01-13 13:50

The reasoning layer is the real gold mine; this guy has really caught on to the idea. I just finished reviewing their Galxe new tasks; they are indeed laying out the ecosystem, but who will benefit most from this round still depends on timing. The cost of reasoning has always been a bottleneck; if there is a real solution, it's worth following. Without data privacy protection, there is no future. They are heading in the right direction. For projects like this, I usually start with small amounts; I feel they are serious about their work. Competition isn't the problem; the issue is whether what they produce has practical use. From a technical stack perspective, it still looks reliable. Before participating, check out the tokenomics first; don't get blinded by the hype of activities.

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DefiVeteran

· 01-13 13:49

Yes, the competition is indeed fierce, but the reasoning speed has been seriously underestimated. I am optimistic about this direction. Kaito and Galxe are taking turns, it feels like they are laying the groundwork, testing the market temperature. It's the same old trick again, fooling us into thinking it's about ecosystem development, but actually it's just exploiting information asymmetry. Be cautious. Reasoning cost is the key. There are more models, but few can run fast and cheaply. This is the real necessity. So basically, if you want to participate in the ecosystem, you need to pay more attention; otherwise, you'll be left behind and become the next victim. They are indeed solving practical problems, unlike some projects that just boast, which is quite interesting. If privacy can truly be well implemented, it will be valuable. I'm just worried it might be another marketing gimmick. More ecosystem collaborations seem to be planning to expand widely. It might be a good entry point for newcomers.

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failed_dev_successful_ape

· 01-13 13:46

The reasoning layer is the real place to make money. While others are still hyping the model, we should have been focusing on reasoning long ago. --- Mining is all that matters. Anyway, there's another chance to farm on Galxe. --- That's right, neither cost nor privacy can be bypassed. I'm optimistic about this wave. --- Kaito and Galxe are fighting on two fronts. This pace is indeed impressive. --- Is it still possible to jump in now? Feels like if you miss out, you'll have to chase the high again. --- Reasoning is indeed underestimated, but whether Inference Labs is reliable or not depends on what happens next. --- It's another story of ecosystem building. Believe it or not, I’m following along anyway. --- Alright, since I have free time anyway, might as well go farm a bit and give it a try. --- The three pain points are brilliantly articulated. The market is just missing solutions like these.

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FlatTax

· 01-13 13:38

The inference layer has indeed been underestimated; everyone is just focusing on big models and hype. These three pain points are quite accurate; cost is truly the key. Inference Labs is doing a good job with this wave of momentum; multi-chain deployment really shows sincerity. However, Galxe has a bunch of perks, so it's necessary to discern the true value. Things that emerge from competition often have substance; it's worth following. Inference speed and privacy have long-term prospects; now is indeed a good time. Just looking at activity frequency isn't enough; we need to see their actual technological progress. Advancing multiple ecosystems simultaneously; this strategic approach is quite aggressive.

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