Pinned Tweet
Today marks a new era for Privacy and AI.
This is history for Web3!
A leap forward for zKML, AI without surveillance, and secure conversations.
History is being written, and it’s private AI.
Zebra AI is now approved on the @AppStore!
apps.apple.com/us/app/zebraa…
Privacy has become one of crypto’s strongest narratives.
zKML arrived in 2024 with the same focus we have today.
We are still building for the part that lasts.
AI agents are getting more capable.
They will handle more tasks, more data, and more decisions.
The next problem is not just intelligence.
It is the boundaries around your personal identity.
Zebra > Signal
We identified the need for this a long time ago. We aim to see Zebra at its absolute fullest one day.
The need for privacy is ever-growing.
Very welcome recent news from Signal: they are working on letting you register an account without a phone number.
aboutsignal.com/news/signal-…
That said, an important counterpoint about what this would and would not accomplish.
The good #1: reducing dependence on phone numbers. Even aside from privacy benefits, reducing dependency on a highly oligopolistic system of chokepoints is good in itself.
The good #2: phone numbers are for many people not a good "root" of identity from an access control perspective. Phone numbers get sim swapped all the time.
The good #3: allowing phone-number-free accounts will make it harder for them in the future to discriminate against people by country - and so make it harder for governments to pressure them to block their own citizens.
Now, on privacy. Significantly better than status quo, so yes it is good #4, but...
In practice, in 2026, I believe that pseudonymity (a long-term persistent account that is not tied to your primary identity) is a dead concept. There are just too many channels by which we accidentally slowly leak data about who we are - timing of messages, the pattern of who we send messages to with what frequency, size, etc. And too many highly effective AI-based means (both using LLMs per-user, and LLMs helping every person and agency under the sun use math that we had all along) to uncover and piece together those hints.
As a trivial example, whatever server you interact with learns your IP address, but even if you hide *that* with a VPN or Tor, there are many other identity leakage vectors.
And so the only defensible form of privacy is *message-by-message unlinkability* - no one except sender and receiver knows the (sender, receiver) pair, ideally even not knowing who the sender or the receiver are.
A natural taxonomy of privacy is the following 2x2:
* Sitting duck: adversary knows "X did Y"
* Confidentiality: adversary knows "X did ???" [E2E encryption provides this]
* Anonymity: adversary knows "??? did Y" [aka message-by-message unlinkability]
* Ideal: adversary knows "??? did ???"
Signal has already had confidentiality for a long time. (Note: in other contexts, "confidentiality" sometimes means "someone knows X did Y, and we trust that someone to not reveal it", ie. not true privacy. Here, by confidentiality we mean hiding contents from third parties)
This adds pseudonymity: in the above schema, adversary knows "0x8b512c... did Y", where they don't initially know who 0x8b512c... is, but may figure that out over time. The ideal is getting to message-by-message unlinkability.
Actually accomplishing that gets into territory that is currently being explored by mixnet projects as well as newer messengers, eg. @session_app and @SimpleXChat.
Once we get deeper into this territory, I suspect the primary frontier will be spam and DoS protection. Right now, much of the internet blocks all Tor exit nodes - not because they personally hate privacy, but because that's where DoS attacks come from. So we need ways for people to prove their non-spammer status while maintaining message-by-message unlinkability. See here github.com/dmarzzz/reputatio… for one direction (which complements ethresear.ch/t/zk-api-usage-… nicely).
So I hope that we appreciate the victory that is mainstreaming of end-to-end encryption, that we actually get Signal accounts without phone number dependency (it's a great thing even if it had zero privacy consequences), and then that we keep moving forward and pushing the frontier of data leakage minimization.
LLM's are everywhere now.
Writing emails. Summarizing docs. Helping with homework. Answering questions.
Ai is useful.
But the data you give it still matters.
zKML is here to keep privacy in the conversation.
Zebras!
We wanted to send out some reassurance while we’re here tinkering away in the background.
We’re still scoping a secure digital future and ensuring we’re best positioned to not only contribute but pave the way.
We appreciate your patience!
We’re here!
AI is entering the systems that handle money, identity, and personal data.
That makes privacy more than a feature.
zKML is building for a future where privacy is built in.
We’re here and ready to continue building and growing our user base.
There are major global negotiations ongoing right now requiring ultimate privacy and security.
Zebra can be the go-to place for all major and minor digital conversations requiring maximum privacy.
When attention shifts back, we’ll be ready!
We’re working in the background, stabilizing structure and planning a more secure online future for us all.
Privacy importance will only grow stronger.
AI is powerful.
But the more it learns, the more your data matters.
Privacy is not anti-AI.
It is the reminder that users still come first.
AI can do more with your data than ever before.
That doesn’t mean everyone wants to give it away.
Privacy will always matter to those who care.
Privacy shouldn’t disappear the moment you open an app.
That’s why zKML products are built with privacy and security layers from the start.
Our users and community come first.
We’re teaching machines to understand humans.
We haven’t decided what they should be allowed to know.
Mythos is coming.
Stay secure with zKML.
We recognized this a while back, inspiring the development of Zebra.
Zebra is a fully private massaging platform, prioritizing user privacy and data protection.
We’re continuing to develop and enhance Zebra, we will push awareness and user adoption in coming months.
Signal, WhatsApp, Telegram & iMessage all have serious security problems:
> Signal makes it easy for hackers to steal your account by requiring your number. They had a hack last year.
> WhatsApp let anyone grab 3.5 billion phone numbers in a hack last year.
> Telegram doesn’t encrypt most chats by default — their servers can read them.
> iMessage lets Apple see your messages if they’re backed up to iCloud.
XChat is the only secure encrypted messaging app.
In a world of endless tracking & surveillance, Zebra’s stand guard.
Privacy isn’t optional anymore, it’s essential.
We’re here, we’re building…
Congrats to @AnyoneFDN For hitting this huge milestone.
Their numbers proving adoption and highlighting demand for privacy.
AI is already being deployed across surveillance, infrastructure, and decision-making.
Regulation is trying to catch up.
Privacy can’t be retrofitted.
It has to be built in.
As the use of AI advances, the need and desire for privacy is ever-growing.
More and more of our data is being trusted at the hands of AI and its operators, the question is, is that data secure?
We ensure complete privacy throughout all our applications.
Starting May @Meta is going to abandon end to end encryption chat on Instagram.
Zebra our private messaging app will always have E2E embedded on our platform.
Meta abandons privacy natives but we won't.
Message with true privacy: zebramessenger.app/







