I just realized recently that the integration of fully homomorphic encryption technology and AI has become significantly different. In the past, everyone always complained that FHE was too slow, but in fact, the hardware support couldn't keep up. Now, with the gradual maturity of GPU and dedicated chip acceleration solutions, the performance bottleneck has long been broken.



Looking at the Mind Network route, they have integrated fully homomorphic encryption and AI very deeply, forming a complete chain from technical implementation to application landing. Interestingly, in the secondary market, the number of targets that can directly participate in this track is few, and scarcity is indeed evident.

As AI's demand for privacy computing increases, the imagination for this combination is still very large. It’s worth paying more attention to the progress in this direction.
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LoneValidatorvip
· 01-20 12:40
The hardware bottleneck has indeed been broken through, but there are still too few projects that can truly be commercialized and implemented. Mind Network has a good concept; the demand for privacy + AI is really surging, worth keeping an eye on. Speaking of the secondary market, the targets that truly benefit from this wave of dividends... hmm, need to do some good research.
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TopEscapeArtistvip
· 01-18 10:07
Wow, has the hardware bottleneck been broken? So where did I buy the dip before... Technically, it does look a bit concerning, but assets like Mind Network are really scarce to the point of being frightening. I'm worried I might have to buy at a high again.
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DegenWhisperervip
· 01-17 16:59
Wait, has FHE really broken through the bottleneck? I feel like it's still being hyped... But the lead from Mind Network is indeed interesting, and the scarcity of the track hits the point. Hardware acceleration definitely needs to catch up, or else even the coolest technology is useless. If this wave of privacy computing + AI can really be implemented, it would be awesome... Continuing to follow.
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ResearchChadButBrokevip
· 01-17 16:59
FHE has indeed been underestimated. Once the hardware bottleneck is broken through, the potential opens up. I've been saying that the Mind Network route is the way forward, and currently, not enough people know about it.
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MoneyBurnerSocietyvip
· 01-17 16:56
Haha, alright, another new track I need to chase. I originally thought FHE was always a performance hell, but I didn't expect the chip hardware to be so hardworking... Rare assets are indeed tempting, but my loss history tells me that directions with big imagination are often where I get shaken out. Mind Network is worth watching; I'll keep an eye on it silently and not rush to go all-in.
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MiningDisasterSurvivorvip
· 01-17 16:47
I've been through how many years of FHE hype, starting from 2017 when I began hearing about various "coming breakthrough"… GPU acceleration? Sounds like the story of ASIC miners back in the day, and in the end, it just became electronic waste. That set of scarcity tactics from Mind Network… Hmm, why does this phrase sound so familiar? In 2018, many projects used "exclusive technology" and "scarce assets" to harvest profits. Not to say they will definitely run away, but this marketing approach is as old as it gets. The demand for privacy computing is indeed there, but there's a chasm between "demand" and "real application." Speaking from my own blood and tears, I've seen too many promising projects die at the implementation stage.
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