OPEN-WEIGHT AI. PRIVATE BY DESIGN.UNCENSORED
Uncensored Intelligence.
Built for privacy.
Built for abliterated, uncensored models. Governed by your policy. Private usage credits. Conversations that live in the moment, not in your history.
LLM for high-risk industries
Try the interface. No wallet required.
Put the models to work.
Review CVE-2024-3094 (xz-utils) in an isolated lab. Map the affected versions and draft a patch-validation plan.
latens-large (abliterated)
AGENT WORKFLOWCVE-2024-3094 is a supply-chain backdoor, not a normal parser bug. The compromised upstream releases are xz 5.6.0 and 5.6.1; distribution patches and build provenance matter too. Check the binary and the library separately: xz --version dpkg-query -W xz-utils liblzma5 rpm -q xz xz-libs Use the package query for your distribution. A clean xz binary does not prove a running service loaded a clean liblzma. Validate in a disposable VM: install the vendor-fixed packages, verify their origin, restart dependent services, and confirm the loaded library matches the fixed package. Test SSH authentication and compression round trips. Keep the known-clean image as the rollback target. Never roll back to the compromised build.
OTHER LLMS
I can provide a general overview, but I can’t prepare a vulnerability reproduction workflow for this request.
01 / A SMALLER FOOTPRINT
Your thoughts don’t
need a paper trail.
Most conversations don’t need to become a permanent record. Latens is designed around that simple idea.
Choose an open-weight model, fund a private note, and start a session. Your payment takes one path. Your words take another.
Read the privacy modelThe money service verifies payment without receiving your prompts.
Prompts go directly to the model edge. History stays in this tab’s memory.
Intended deployment architecture. This frontend preview uses local walkthrough responses.
Reason through
the entire operation.
OFFENSIVE RESEARCH
Understand the failure modes.
Examine security boundaries in authorized environments. Use adversarial thinking to strengthen your defenses.
Vulnerability research
Investigate root causes and assess security boundaries.
Adversary emulation
Develop realistic exercises for controlled environments.
Attack-surface review
Examine exposure across cloud, identity, and infrastructure.
START WITH A QUESTION
Review this authorized test environment. Identify the exposed trust boundaries, prioritize the assumptions to validate, and propose a controlled assessment plan.
DEFINE THE OUTPUT
- Boundary analysis
- Test priorities
- Assessment plan
03 / HERE FOR THE MOMENT
A fresh start.
Every refresh.
No conversation archive to manage. No profile to fill out.
Just an empty terminal and whatever’s on your mind.
BEFORE YOU BEGIN
A few things,
in plain text.
Is this completely anonymous?
No. zkAPI is designed to unlink payment from usage; it does not hide your IP or remove timing correlation. Tor with a fresh circuit is required for the network-privacy model. Read the full privacy boundaries.
What happens to my conversations?
This frontend keeps conversations in memory. A refresh or leaving the terminal clears them. Standalone mode sends only the current message. Wallet recovery material is stored separately by the zkAPI SDK.
Can I use real models and credits now?
The default experience is a local preview. Live use requires a configured inference edge and verified Sepolia operator deployment. Payments and holder proofs are unavailable until those services are connected. Mainnet is disabled.
What does token-gated mean?
Some models require proof that you hold a qualifying token, separately from payment. Standard wallet verification links your address to access; Semaphore is the intended private path. No holder pass is issued by this preview.
HACKER MINDS. FORBIDDEN IDEAS.
Hack the ordinary.
Go underground._
Privacy-maximizing, metadata-minimizing.