Hyperdetex

We're building the detection layer for synthetic voice fraud. Train our AI with your voice data and earn $DTX. Try now :

[Hyperdetex @Hyperdetex]

https://t.co/cTHFC9P7pS

[Hyperdetex @Hyperdetex]

@emollick Companies & tools should publish simple anonymized quarterly stats showing % usage by model family and category (chat/coding/agents). Think GitHub already does this for Copilot. That way everyone gets a clearer picture.

who’s working on it btw?

[Hyperdetex @Hyperdetex]

@base Challenge the bot here: https://t.co/qmKcAXdkXb

[Hyperdetex @Hyperdetex]

Testnet update: Can you fool our detection protocol?

The HyperdeteX testnet is still live, and we need security-minded builders to stress-test the system.

The loop right now:

→ drop a voice sample in the bot
→ protocol runs detection, verifies on-chain
→ you earn $DTX points per verified sample.

Total time: Under 60 seconds.

Worth noting: Point allocations from this testnet phase are confirmed to carry over into our upcoming mainnet launch.

[Hyperdetex @Hyperdetex]

@base Build on Base.

[Hyperdetex @Hyperdetex]

Retention is tiered by design. Raw audio is kept only long enough to extract anonymous training features and run quality checks, then it's deleted.

If a contributor withdraws consent, their features are removed from the training manifest and excluded from the next cycle. European regulators have explicitly acknowledged this approach as valid, as long as the source data is destroyed and the user was informed upfront.

we shared more on our article: https://t.co/ahTfRlWrzD

[Hyperdetex @Hyperdetex]

https://t.co/cTHFC9P7pS

[Hyperdetex @Hyperdetex]

Hackers aren’t breaking through corporate firewalls anymore. They’re walking right through the front door using your own voice.

With over 10,000 AI voice cloning variants active online, traditional verbal verification is officially dead. Your identity has been turned into a free dataset for tech monopolies.

This is the wake up call to start treating your voice like an asset. And our model is mapping this synthetic frontier natively as a security layer in businesses and finances sector.

[Hyperdetex @Hyperdetex]

@cafer_duransu the community welcomes you.

[Hyperdetex @Hyperdetex]

@iamheci gm

[Hyperdetex @Hyperdetex]

@base @baseapp bringing solutions onchain.

[Hyperdetex @Hyperdetex]

https://t.co/Ohyp6ZwWHS

[Hyperdetex @Hyperdetex]

https://t.co/cTHFC9P7pS

[Hyperdetex @Hyperdetex]

@cafer_duransu Sure the team listens, feedback is welcomed and appreciated.

Here https://t.co/P7MxCN8hAF, see you in there.

[Hyperdetex @Hyperdetex]

@davidtsocy Inclined. Talking of products that solves deepfake problems.

[Hyperdetex @Hyperdetex]

@0xDevaroo correct, and what we took from this is that the technical moat means nothing if the compliance layer collapses underneath it. you can't separate the two and expect it to hold.

[Hyperdetex @Hyperdetex]

@TotalScope_ the hype will come. we just wanted to make sure we deserve it first.

[Hyperdetex @Hyperdetex]

@Mr_KooL009 a year of engineering before a single dollar of public capital. that's the bar we set ourselves.

Appreciate the feedbacks.

[Hyperdetex @Hyperdetex]

@WiseAmar that's the only way it works. you can't retrofit consent into a biometric pipeline. it either lives in the architecture from day one or you're one audit away from a yoti situation.

[Hyperdetex @Hyperdetex]

@base Agents can also trick you !

[Hyperdetex @Hyperdetex]

@Based_Africa Build.