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Event Calendar

{{年份}}
08
04
upgrade Solana Firedancer

Independent validator client goes live on mainnet

28
03
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92 million ARB released

18
03
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22
03
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30
04
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04
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12
05
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Block reward halving event

10
05
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Raises validator limit and account abstraction

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Altseason Index

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1
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Ethereum ETH
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1
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AI

Free AI Tokens or Just Another Airdrop Trap? Zhipu’s GLM-5.3 Giveaway Sparks Deja Vu

Ansemtoshi

Hook

Over the past 48 hours, 50,000 developers scrambled for a piece of Zhipu AI’s ‘free token’ pie. But these aren’t ERC-20s. They’re AI inference tokens—100 million per wallet, locked inside the ZCode platform. The first round crashed under demand. The second round relaunched with a 50,000 quota cap. Sound familiar? It’s the same FOMO mechanics that drive DeFi airdrops, minus the on-chain liquidity. And the market is already asking: is this a genuine developer grant or a slick data grab?

Context

Zhipu AI, a Beijing-based AI lab with deep ties to Tsinghua University, has been quietly building its GLM model series. GLM-5.3 is the latest iteration, likely a beefed-up version of the open-source GLM-4 series. The company raised over $400 million from investors including Alibaba, Tencent, and Sequoia. But unlike its Western counterparts, Zhipu doesn’t sell API access to the masses—it funnels developers through its own ZCode platform, a closed ecosystem for model deployment and collaboration. The free token event is the first major push to fill that ecosystem with active users.

Why now? The Chinese AI market is entering a price war. Baidu’s ERNIE, Alibaba’s Tongyi, and ByteDance’s Doubao all offer free tiers. Zhipu needed a differentiator. Instead of a monthly quota, they dropped a one-time bomb: 100 million tokens per new user, no strings attached… except the strings are woven into the platform itself.

Core

Here’s the raw data: 50,000 quotas, each granting 100 million tokens. Total: 5 trillion tokens. At an estimated inference cost of $0.2–$0.5 per million tokens, Zhipu is burning roughly $1,000 to $2,500 per user—or up to $125 million total if all quotas are filled. That’s a massive bet on developer acquisition.

But the tokenomics are a red flag. These tokens are non-transferable, non-fungible, and expire after an unspecified period. They can only be used on ZCode for GLM-5.3 inference. There’s no secondary market, no staking, no yield. In crypto terms, it’s like an airdrop where the tokens never leave the protocol’s garden. You can’t sell them, can’t swap them, can’t even gift them.

From my experience covering DeFi airdrops, this is a textbook ‘loyalty points’ model—not a token. The real value isn’t the free compute; it’s the data. Every prompt, every code snippet, every failed Agent execution feeds Zhipu’s fine-tuning pipeline. The company is effectively paying for user-generated training data while pretending to give away compute. It’s brilliant, but it’s not generosity.

Contrarian

Here’s the angle everyone misses: this isn’t about competing with OpenAI or Anthropic. It’s about building a data moat. Zhipu’s real competitor is not GPT-4o—it’s Hugging Face and the open-source community. ZCode wants to be the default platform for Chinese AI developers, and free tokens are the hook. But the long-term cost is high: developers who jump on this train are locking themselves into a proprietary ecosystem with no exit value.

Moreover, the 5 trillion token burn is a drop in the ocean. If even 10% of those users convert to paid API customers, Zhipu might recoup the cost in a quarter. But typical conversion rates for free-tier promotions in AI are below 5%. The real risk is that the event attracts only price-sensitive junk traffic—developers who will abandon the platform the moment a cheaper alternative appears.

And there’s a deeper irony: the blockchain industry has been trying to tokenize AI compute for years. Projects like io.net, Render Network, and Akash offer decentralized GPU markets. But here’s a centralized AI company doing a ‘token distribution’ that makes those decentralized models look like scams. Zhipu’s tokens are centralized, non-transferable, and ephemeral—yet they’re generating more buzz than any blockchain-based AI compute token I’ve seen in 2025.

Takeaway

Watch Zhipu’s next move. If they announce a tokenized version of these credits—say, an ERC-20 or a BRC-20 equivalent—that’s when the real narrative shift happens. Until then, this is a marketing stunt dressed as a gift. The merge wasn’t free, it was a data buy. Hackers don’t hack, they listen. And developers don’t build, they follow the free tokens. The question is: after the free ride ends, who’s still coding on ZCode?

Fear & Greed

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Greed

Market Sentiment

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