Record your voice. Earn USDC. The one dataset you can't scrape, already training frontier AI models. Join 2M+ Silencians in 180+ countries 🌍 Powered by $SLC.
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Unpopular opinion:
Former DePINs might be some of the most undervalued AI plays right now.
Yes, DePIN had a lot of issues, and hence a very underwhelming token performance. The negative association is definitely understandable.
But what most people don't realize is that thanks to those token incentives, most of these projects are now sitting on incredible data pools. Exactly the kind of data pools the biggest frontier AI labs have insatiable demand for, since data is their single biggest bottleneck in winning the most important tech race humanity has ever seen.
Just to name a few:
@silencioNetwork - $SLC
@OVRtheReality - $OVR
@NATIXNetwork - $NATIX
@grass - $GRASS
And probably a bunch of exciting ones I don't even have on my radar yet (if so, please DM).
I know in fact that these are already working with leading AI labs or well-known big tech companies as actual paying clients, generating serious offchain revenue. More than most of your favorite shitcoins do. And if you do your research, you'll understand that it takes time for that offchain revenue to accrue, but there's strong commitment to route it back to their tokens.
I know it's hard, but instead of chasing memecoins or bidding the same 5 hyped onchain businesses everyone already knows, I can only strongly recommend digging deeper here.
Generational opportunities to be found in DePIN, or whatever you might want to call it nowadays.
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Two days until Interspeech 2026, Sydney.
We're representing the network at the biggest speech AI conference on Earth. Silver Sponsor + Full-Day Sponsor of Indigenous Voices Day.
Every recording, every language, every voice that made this possible: thank you.
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Five things every ASR researcher underestimates about low-resource-language speech data.
From a decade watching the same mistakes.
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4) Metadata is not documentation. It is the corpus.
Without per-recording speaker + environment + device tags, you cannot construct evaluation splits that predict production performance.
Aggregate WER becomes fiction.
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Silencio | Voice Data for AI retweeted
Public service announcement.
Record a few clips for @silencioNetwork and you get two things:
1. Voice AI that actually hears your language.
2. A private safeword only your model recognises, for when the robots take over.
Yours will listen. Everyone else's will not.
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Do you speak Wolof? 🇸🇳
Help bring Wolof into the future of AI and get rewarded.
-> $10/hr approved recordings
-> $7.50/hr approved transcription
-> +10% referral earnings
-> Payouts multiple times/week
Your language. Your voice. The future of AI.
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Get Started Now -> ai.silencio.store/welcome
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A robot in your kitchen next year. A robot in your grandfather's hospital room the year after.
Both need to hear voices your phone doesn't.
That is the work. That is who does it.
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Oromo: 40+ million speakers across the Horn of Africa. The most widely spoken Cushitic language.
In every public voice AI benchmark: effectively absent.
That's not a scale problem. It's a coverage problem.
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Silencio | Voice Data for AI retweeted
People are freaking out over the Grass announcement, realizing that revenue can also be offchain and still be real.
Realizing that some of what we called "DePINs" a few years ago are now actually some of the most interesting data startups out there, working with leading frontier AI labs.
Realizing that not all token founders are scammers, and that if you do the right diligence, you can actually find heavily overlooked tokens trading at ridiculous multiples to their business, while being in hypergrowth and accruing 100% of that value.
$GRASS is up 20% on this announcement, and nothing has even changed. Just people waking up, thanks to great investor communication and transparency.
This is exactly why I'm so excited about $SLC and @silencioNetwork. They literally check every single box above, except that given their low FDV, the ratio is even much better, and people are even less aware.
Who knows for how long that will still be true.
Grass DataCo Ltd., a wholly owned subsidiary of Grass Foundation, provides data infrastructure to leading AI labs training frontier models.
We're publishing an independent attestation of its revenue through Q2 2026, conducted by Regen Financial.
Full report: grass.io/resources/grass-att…
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60 organizations from @AnthropicAI , @Google , @OpenAI , @Microsoft , and @nvidia to Masakhane, Lelapa AI, AI4Bharat, and BHASHINI just committed to a shared five-year goal: 3.4 billion people who speak underrepresented languages, able to use AI in their own language and voice.
That the frontier labs, national governments, and the low-resource-language research community are now aligned around one number tells you how large this problem actually is. No single institution solves it alone.
This is why we are building what we are building.
A contributor network of ~2.5 million people across ~180 countries, ~350 languages accessible, per-recording consent that travels with the data. Exactly the supply infrastructure a 3.4 billion goal needs.
Every recording in this network is a step toward that number. The work you have done is the reason Silencio can support this effort at the scale it needs.
Thank you for being early.
gatesfoundation.org/ideas/me…
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A language you can't record can't be simulated. There is no shortcut.
The next decade of voice AI runs on the tape someone actually pressed record on this year.
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Silencians do your magic! Please tag and share!
What we need asap - please share:
1. Wolof-Speaking Crypto Community
2. Arabic-Speaking Crypto Communities - all Arabic-speaking countries.
@silencioNetwork Silencians please share! We have ongoing projects that will need support and receive payments now!
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Sunday note.
What we've published this month, other people said couldn't be published.
Deep African coverage. Native-speaker human validation live for Swahili, Amharic, Yoruba, Hausa.
The languages that were 'too hard' turn out tractable when the network shape is right.
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Taita: a Bantu language of the Taita Hills, Kenya. ~360,000 speakers.
Number of other commercial vendors shipping Taita speech data at scale: zero.
The languages other vendors don't list are where the network shape shows.
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A voice assistant that works in your language is not a luxury.
It's the difference between using your phone and asking your kid to translate.
For billions of people right now, it is still the kid.
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Silencio | Voice Data for AI retweeted
Looking for communities West Africa to support our voice collection efforts there for a frontier AI lab with @silencioNetwork.
We need more Wolof speakers! Dear community, please tag anyone who could help us here:
- Senegal
- Gambia
- Mauritania
I'll pay 100usdc for any strong/serious lead!
Thankful for any recommendation. Africa speak up! 🌍
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