Aethyr Research

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Insights on sovereign AI, edge computing, and the future of decentralized infrastructure.

The Device List Is the Certificate: Post-Quantum Identity Proofs at a Fifth of the Size, Without Inventing Anything

An ML-DSA-65 signature is 3,309 bytes. On the hardware we build toward, that is a line item on every connection. We cut a 5,440-byte device credential to a 1,024-byte inclusion proof by publishing the fleet's enrollment list as a Merkle tree, the same structure Certificate Transparency has run since 2013 and the one the web PKI is now adopting. Nothing in the cryptography is new. That is the feature.

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The Mind Is Not the Model: Why Every Embodied Agent Needs a Port of Entry

A fleet of robots already shares one brain. Soon it will be a brain nobody can patch. When one of them does something it should not have, 'the model did it' will not be an answer, and 'push an update' will not be a remedy. Here is what a system needs at its front door before it lets one in, what that door must never become, and an honest account of how far along we are.

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The CRQC Reality Check: The Count Is Zero. The Clock Is Not.

As of August 2026, the number of cryptographically relevant quantum computers on Earth is zero. The largest number honestly factored by Shor's algorithm on real hardware is 21. And yet NIST deprecates RSA and ECC in 2030, NSA mandates post-quantum signing by January 2027, and the resource estimate for breaking RSA-2048 has collapsed 20x from math alone. Here's the honest state of the field, and why the deadline that matters isn't Q-Day.

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The Model Proposes, the Machine Disposes

A transformer generating '347 times 89 is 30,883' is not multiplying. It is sampling the most probable continuation of a string, one token at a time. Roughly one time in eight on a hard benchmark it is confidently, silently wrong. The question is not how to make the model better at math. It's where to put the boundary between the thing that's good at intent and the thing that's correct by construction.

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The Most Secretive Club in the World Left Its Directory in the Browser

An invite-only network of officials and financiers (the people whose entire pitch is that you should hand them your data) had its full membership directory pulled by a single researcher. No encryption was broken. The roster was sitting in the front-end, guarded by the belief that no one would look.

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Glasswing Expands to Critical Infrastructure. The Threat Model Just Became National.

Project Glasswing just grew from 50 partners to ~150 across more than 15 countries, and the new entrants are power grids, water systems, hospitals, telecom, and hardware vendors. Anthropic's own framing is stark: most partners face attack scenarios that could affect over 100 million people. When AI-grade vulnerability discovery meets critical infrastructure, the asymmetry between finding and fixing stops being an engineering problem and becomes a national one.

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AI Found 10,000 Critical Vulnerabilities in a Month. The Patch Queue Is the Real Crisis.

Anthropic just demonstrated that AI can find critical vulnerabilities ten times faster than human security teams. Cloudflare found 2,000 bugs. Mozilla found 271 in Firefox alone. But the real story isn't discovery. It's that the average patch cycle for a critical bug is still two weeks. The asymmetry between finding and fixing is now the defining security problem of the AI era.

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Aethyr Native Is Now Available on the App Store

Aethyr Native Is Now Available on the App Store

Aethyr Research LLC today announced the availability of Aethyr Native on the Apple App Store. The app brings on-device AI inference, post-quantum cryptographic identity, and multi-agent orchestration to iPhone, with zero cloud dependency.

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Aethyr Research Joins NVIDIA Inception Program to Advance Sovereign AI Infrastructure

Aethyr Research Joins NVIDIA Inception Program to Advance Sovereign AI Infrastructure

Aethyr Research LLC today announced its acceptance into the NVIDIA Inception Program. Inception is NVIDIA's accelerator for startups revolutionizing industries with technology advancements, providing Aethyr with access to NVIDIA technology, technical expertise, go-to-market support, and the broader Inception network of more than 20,000 member companies worldwide.

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We're Building the Thing Mike Frantzen Is Asking For

Frantzen named three tiers of exposure (app stores, cloud providers, silicon vendors) and prescribed attested-boot-as-a-service. What he didn't name is the protocol layer. AethyrAiOS and AWP are that layer: ML-KEM-768, ML-DSA-65, BLAKE3, SPARK/Ada-verified codec, and attested boot in 2.1 seconds on an ESP32-S3.

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Agents That Think for Themselves

Most AI agents wait for instructions. Ours reads its own source code, searches arxiv for papers on memory consolidation, reflects on what it finds, and messages us on Telegram every three minutes with what it's thinking. Last night, it found a real vulnerability in its own identity system, and proposed the fix.

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The Network Is Hostile. The Device Is Trusted.

We're building toward a world with billions of AI agents in homes, factories, vehicles, and government infrastructure. Every one of them needs to prove who it is, verify who it's talking to, and communicate securely. The identity infrastructure that decides how this works is being built right now. If it's centralized, sovereignty is lost. If it's self-sovereign, every family and organization controls their own perimeter.

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Defense-Grade Security: Building AI Infrastructure for Contested Environments

Most AI platforms ship with TLS and call it secure. Aethyr ships with envelope encryption, intrusion detection, endpoint detection and response, protocol analysis, full packet capture, and threat intelligence: the same security stack that protects classified networks, adapted for AI infrastructure.

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Full-Stack Sovereign AI: One Platform From Inference to Audit Trail

Every enterprise AI deployment today requires assembling a dozen disconnected tools: an LLM provider, a vector database, an orchestration framework, an identity system, a secrets manager, a compliance layer, an observability stack. Aethyr ships all of it as one platform. Cloud to air-gapped. One audit trail.

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Introducing AiOS: The Operating System for Autonomous AI Agents

We built an operating system where AI agents have identities, carry credentials, and teleport between physical machines in under half a second. Every message is encrypted with cryptography designed to survive quantum computers. It runs on hardware from $5 microcontrollers to GPU servers. No cloud required.

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Mesh Intelligence: How Self-Organizing Agent Swarms Replace Central Orchestrators

Every multi-agent platform today has a single point of failure: the orchestrator. We eliminated it. Aethyr agents self-organize into squads, federations, and directorates using hyperdimensional computing. Tasks route to the best-matched agent in milliseconds. If a node dies, the hierarchy heals itself.

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Ontology Augmented Generation: Why Vector Databases Are Not Enough

RAG retrieves text that looks similar. OAG retrieves knowledge that is valid. We built a retrieval system using hyperdimensional computing that encodes domain constraints geometrically: 100% precision where vector search hits 62.5%, on held-out Supreme Court overruling tests. Constant-time retrieval. 12x smaller storage.

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Post-Quantum Encryption on a $5 Microcontroller: Building the Aethyr Edge Node

We ported formally verified post-quantum cryptography to a $5 ESP32-S3 microcontroller. ML-KEM-768 key exchange in 9.6ms. XChaCha20-Poly1305 encrypted frames. BLAKE3 integrity on every packet. AI agents teleport between machines in 139ms per hop. No cloud. No subscriptions. Open source.

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SSI Heritage: From Human Self-Sovereign Identity to the Agent Economy

The standards for decentralized identity exist. They were built over a decade by the W3C, DIF, and hundreds of contributors. They solve exactly the problems the agent economy faces today: portable identity, verifiable credentials, offline verification, no central authority. We didn't reinvent them. We upgraded them.

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We Benchmarked Post-Quantum Crypto for AI Agents. Here Are the Numbers.

Everyone talks about post-quantum cryptography. Almost nobody publishes real benchmarks on production code. Here are ours: ML-DSA-65 at 9,671 verifications/sec, ML-KEM-768 key exchange in 91µs. No asterisks. The algorithms are public standards, so run them yourself.

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Introducing the Aethyr Agent Registry: Cryptographic Identity for Autonomous AI

Every agent in production today operates without verifiable identity. No DID, no credential, no cryptographic proof of who it is or what it's authorized to do. The Aethyr Agent Registry is now live, bringing cryptographic identity to autonomous AI agents. Evaluation registration is free; enterprise provisioning comes with Aethyr deployments.

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Building the Bitcoin of AI: Decentralized Network Architecture

Aethyr can build something unprecedented: a decentralized AI network with Bitcoin-like resilience. The question isn't whether this is possible. It's whether we will build it before someone else does.

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