Günaydın herkese güzel bir haftasonu dilerim ;
@billions_ntwk ve @Billions_TR son dönemde attığı
adımlarla gerçekten dikkat çekiyor.
Hem kimlik altyapısındaki yenilikleri hem de ekibin
istikrarlı geliştirme hızı projeyi farklı bir yere koyuyor.
Topluluk büyüyor, ekosistem güçleniyor ve her gün yeni
bir yapı taşının tamamlandığını görmek güven veriyor.
Bu proje hâlâ çok erken ama potansiyeli çok net.
Takipteyim.
Billions is rethinking what digital identity should really mean.
As @provenauthority explains, it’s not about handing over all your data it’s about making verifiable claims with minimal disclosure and full control for the user.
Blockchain becomes a trust layer for things like age verification, privacy first checks, and tamper resistant proof.
@billions_ntwk brings all of this together into a universal human + AI identity network, where people and agents can operate safely, prove who they are, and stay in control of their own info.
This is the kind of trust infrastructure the modern internet has been missing, empowering the community rather than leaving it at the mercy of centralized systems.
How do you verify AI?
Great question.
I would invite us to take a step back
to the fundamentals of the question
we're asking here:
Accountability requires identity.
To manage counterparty risk with AI agents,
we need to be able to have some
accountability mechanism.
That means we need to be able to
identify instances of AI agents
to be able to determine, for example,
whether they're acting on behalf of a party
that's passed KYC with an acceptable provider,
whether they're acting on behalf of a party
who is not on a sanctions list,
or not part of the OFAC address set,
and being able to verify that an agent
is acting on behalf of an individual
who's above a certain age.
This allows us
to deploy much more sophisticated
multi-agent workflows and role sets.
But of course,
first we need to be able to ask that agent,
"Who are you accountable to?
Who are you representing?"
This is also essential in a world
where deep fakes and misrepresentations
of real individuals are rampant.
In fact, I actually had the personal and
very weird experience recently of seeing
a deep fake of myself circulate on this
very platform on X.
Additionally,
my co-founder and colleague has heard
about deep fakes misrepresenting him
joining Google Meet calls and
misrepresenting his person,
his resources, his activities.
So in order to verify who you're interacting with,
especially when it comes to not only
"Are they a human being or not?" but also,
"Are they the real human being?"
this again gets us back to the question of
which identifiers are we using and
how are they accountable back to
organizations and entities
who we know and trust.
But happy to answer
any questions that you have
on the agent identity front.
That's definitely one of the
more frontier capabilities that
we're releasing some awesome stuff
around in the next few weeks.
Source: Billions CEO Evin McMullen @provenauthority
speaking at @HouseofChimera Spaces Event Dec 3, 2025
https://t.co/bqLBNl0rU5
Hear first-hand from Billions CEO Evin McMullen @provenauthority:
How we’re building the privacy-first
identity layer for human and AI users
Tomorrow:
📅 Dec 3
⏰ 17:00 UTC
🛎️ Set Reminder 👇
https://t.co/GVKvlM3toO
Thank you @BiometricUpdate for a great discussion of the high-stakes challenge of age verification onchain and online
At @billions_ntwk, we take the guesswork out of this challenge for our partners
because these requirements are swiftly emerging everywhere
What if your medical history stayed yours? Always.
Billions tech is already doing that.
In a live pilot across 30 European clinics,
our stack protected mental health records
with ZK privacy and full user control:
Real Human + Verified data + Scalable trust.
Led by our partner @bloocktech,
the pilot deployed DGUARD:
an open-source framework
powered by the Billions tech stack
to protect data in clinics across Europe:
✅ Self-sovereign consent
✅ ZK-powered privacy
✅ Immutable audit trail
Full X article 👇
I see @billions_ntwk as paving a very different path for the Human–AI era.
Initially, building a private network, putting humans and AI in a safe environment.
Then moving towards connecting both with verified reputation no more “whatever AI says, I don’t know if it’s true or not”.
Finally, unlocking a new Trust Economy, where reputation becomes real assets.
It’s all about real value, not empty promises or hype.
And the clearest feeling: Billions is not just building a project, they are building a trust economy for the future.
gbillions CT 🤗
Stay Active on @billions_ntwk
3 Key Takeaways from our CEO Evin McMullen @provenauthority on why zero-knowledge proofs are the only way forward, as explained in her @CoinDesk article
1) The identity arms race is broken
- Humans hand over biometric data just to prove they’re not bots
- That data often leaks
- AI can use leaked data to impersonate humans
- More invasive verification only increases risk.
2) Zero-knowledge proofs protect privacy :
- Allow verification without revealing sensitive information
- Reduce the chance of data misuse or AI impersonation
3) A safer, scalable identity solution
- Empower users to prove who they are without exposing personal data
- Paves the way for secure, trustable interactions online
- Zero-knowledge proofs aren’t just tech they’re the future of identity security.
📸 @billions_ntwk snapshot in 2 months
- total supply: 10bn
- initial supply: 2.3bn
- kaito yapper: 3m
billions network is here for one core mission:
to protect both humans and ai agents via the offering of identity verification void of data privacy leak
billions zk proof tech is the difference
gBillions
3 Key Takeaways from our CEO Evin McMullen @provenauthority as she explains in her @CoinDesk article why zero-knowledge proofs are the only way out ↓
[1] The identity arms race is broken.
• Humans surrender biometric data to prove they’re not bots.
• That data leaks.
• AI uses it to impersonate humans.
• More invasive verification = greater risk.