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<p>AI by default. Private by design.
The real shift in AI isn't speed or model quality.

It's trust.

Most "private AI" solutions today still rely on a trusted layer.

CPU TEEs.
Operators.
Cloud providers.
Blackthorn is trying to remove that assumption.
@Arcium turns GPUs into an encrypted compute layer where data remains protected throughout the entire computation.

What stands out to me isn't just the privacy aspect.

If institutions no longer have to trust someone else to use AI, the pace of adoption could change completely.

Maybe the biggest obstacle to AI hasn't been model quality.

Maybe it's been trust.

< encrypt everything >
gMPC ☂️</p>

AI by default. Private by design.
The real shift in AI isn't speed or model quality.
It's trust.
Most "private AI" solutions today still rely on a trusted layer.
CPU TEEs.
Operators.
Cloud providers.
Blackthorn is trying to remove that assumption.
@Arcium turns GPUs into an encrypted compute layer where data remains protected throughout the entire computation.
What stands out to me isn't just the privacy aspect.
If institutions no longer have to trust someone else to use AI, the pace of adoption

AI by default. Private by design. The real shift in AI isn't speed or model quality. It's trust. Most "private AI" solutions today still rely on a trusted layer. CPU TEEs. Operators. Cloud providers. Blackthorn is trying to remove that assumption. @Arcium turns GPUs into an encrypted compute layer where data remains protected throughout the entire computation. What stands out to me isn't just the privacy aspect. If institutions no longer have to trust someone else to use AI, the pace of adoption could change completely. Maybe the biggest obstacle to AI hasn't been model quality. Maybe it's been trust. < encrypt everything > gMPC ☂️

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