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The two core pain points for AI entering the mass adoption stage are privacy protection and content credibility.
Currently, many projects are working on these two directions. Generally, privacy protection involves ZKP (Zero-Knowledge Proof) + FHE (Fully Homomorphic Encryption). Nillion's blind computing (protecting data privacy in AI training and inference) adds MPC (Multi-Party Computation) to these two methods. Some are also addressing content credibility, such as Bittensor's SN34 BitMind and the Confidential AI project Privasea $PRAI.
BitMind's main product is DeepFake, used to identify whether content is AI-generated.
Btw, I think we have entered a flourishing stage of dTAO (Bittensor subnet).
Privasea's main product is ImHuman, which is essentially a real human face recognition to verify that you are a human and not AI. It's a competitor to Worldcoin.
Compared to Worldcoin's use of local data processing + ZKP zero-knowledge proof to protect original iris images from being leaked, Privasea's core technology is FHE homomorphic encryption.
FHE is a prominent field in the encryption industry, just like ZKP before. So I think it's necessary to explain FHE in simple terms.
Simply put, FHE allows others to perform mathematical operations on encrypted data and obtain the correct results, but the computing party cannot see what the original data is.
In other words, through Privasea's ImHuman face recognition, it's an AI + FHE result. While AI can identify your face through calculation, the computing party cannot access your facial data.
I have now demystified grand narratives and focus on observing AI infrastructure/Apps and their application scenarios. Without application scenarios and adoption space, these products or infrastructures are more like illusions, with landing and growth being a longer-term matter.
Many infrastructures are now starting to develop applications, such as the chain abstraction infrastructure Particle developing the chain abstraction trading product Universal, and Privasea developing the ImHuman App.
What are ImHuman's landing scenarios?
A very intuitive application direction: witch detection. (The logic of favoring this project is somewhat similar to @sign)
I mentioned in the Sign episode that under the pressure of the bear market and market sentiment, project teams' airdrop rules will become more vertical - projects need to find the most product-market-fit audience through airdrop expectations to survive in a harsh market environment and gain some market share.
Verticalization is the evolution direction of airdrop rules.
Projects need to find their PMF (Product Market Fit) and real user groups. Avoiding single entities with numerous accounts is an eternal need for most project teams. Broadening the perspective, all projects that need real human users and want to avoid robots will have demand for such products.
Privasea calls this mode PoH (Proof of Humanity).
Additionally, Privasea will soon open the Agent Angler social activity on ImHuman - using staking + mining rewards to incentivize real human users' Social Mining and Data Mining. Future airdrops will most likely be given to activity participants and PoH Non-Fungible Token holders (though the NFT count has exceeded 660,000, with the majority likely going to participants who invested time and effort in the Agent activity).
Their App download ⬇️
https://apps.apple.com/us/app/imhuman/id6482989056?l=zh-Hans-CN
https://play.google.com/store/apps/details?id=com.app.imhuman
Currently, Privasea supports cross-chain PoH for Arbitrum, Solana, and BSC. Entering BSC was on March 19th, which was also when BSC was quite hot. My unreasonable guess is that Privasea might do an IDO on Binance Wallet. This would be good, potentially creating a value discovery phase. However, its valuation is quite high, so it might also directly do a BNB holder drop like Nillion $NIL.
Finally, let's briefly look at Privasea's investment situation ⬇️
