100,000,000 $AXGT locked.
AxonDAO has locked 100M $AXGT — 14% of total supply.
1 year cliff followed by 12 months of equal monthly vesting. Non-cancellable. Non-transferable.
This is a major commitment to long-term ecosystem alignment as we continue building real infrastructure for researchers, builders, and the AxonDAO community.
All details are fully on-chain and verifiable:
https://t.co/h177jsUWXq
CURERING owners, keep your Ring close.
This Friday, we’ll share access details for the updated CURERING iOS beta.
The app experience has been rebuilt to make connecting and using your Ring feel smoother, simpler, and more natural.
Existing CURERING owners will be the first to test what we’ve built.
Beta access details arrive Friday.
A wearable is only as useful as the experience around it.
That is why the CURERING app is being reworked across the full user journey, from connecting the Ring to interacting with AI and handling data.
Improvements to the app includes:
• More reliable connections with fewer timeouts
• A simpler connect-and-go experience
• Faster, more responsive app performance
• Local AI model
• Local-first approach to data handling
Our aim is an app that connects more easily, responds more consistently, and keeps more of the data experience close to users.
A strong grant application does more than ask for support.
It shows what the support unlocks.
What are you trying to run?
What is blocked today?
What result would prove progress?
What changes if compute, funding, or infrastructure is no longer the bottleneck?
AxonDAO grants are open for researchers and builders working on serious scientific, AI, and DeSci workloads.
Apply here:
https://t.co/MeuzjN0UdF
Your voice is already part of daily life, but the patterns it carries are easy to miss.
Axon Voice is built to study those patterns responsibly, turning everyday voice reflections into structured research signals with privacy and participant control at the center.
Learn more: https://t.co/e5CPcEAl50
AxonGPU continues to deliver measurable growth. 👀🔥
✅ $71.3K+ in total GPU revenue
✅ $15K+ allocated toward AXGT buybacks
✅ 8.3M AXGT permanently burned
✅ 16 GPUs powering real AI & research workloads
This is what happens when real infrastructure meets real demand.
AxonDAO keeps building, and the on chain transparency speaks for itself. 🚀🔬
This demo is also from much earlier, but I think it captures something much bigger than a GROMACS validation.
Instead of asking an AI assistant a question, I asked it to determine whether a GPU-accelerated GROMACS environment was correctly configured.
The interesting part wasn't the answer: it was the process.
The agent:
• inspected the local Linux environment
• verified the NVIDIA GPU configuration
• identified missing prerequisites
• adapted its execution strategy
• fetched project-specific documentation from GitHub
• incorporated that documentation into its reasoning
• and completed the GPU validation.
That's the direction I'm excited about.
Today it's validating a molecular dynamics environment.
Tomorrow the same pattern could orchestrate molecular dynamics simulations, docking pipelines, structural biology workflows, genomic analyses, literature retrieval, result interpretation and hypothesis generation: all running on GPU-backed scientific workstations.
Agentic computing won't replace researchers. It has the potential to remove much of the repetitive operational work surrounding research, allowing scientists to focus more on designing experiments and interpreting results.
This is exactly the type of infrastructure we're building with AxonOS: an open-source operating system where AI agents can collaborate with researchers instead of simply answering questions.
Mainnet beta: https://t.co/rSqIM3ngdA
@AxonDAO
#AxonOS #DeSci #ScientificComputing #AIAgents #DrugDiscovery #Bioinformatics #GROMACS #GPUComputing #OpenSource #WebRTC
AxonGPU revenue keeps climbing: $70,000 crossed.
Demand is continuing to show up across the compute layer.
This is real usage we can track, and a milestone we’re excited to keep building from.
Track GPU revenue live at: https://t.co/XGNbQmf8yf
AI agents can now pay for AxonOS compute.
AxonOS is x402-enabled, so agents can request GPU resources and settle programmatically in USDC on @base.
Compute access, built for autonomous workflows.
What field moves fastest when compute is no longer the bottleneck?
Research does not stall because people run out of ideas.
Sometimes it is the cost of running the model, testing the pipeline, or getting enough compute time to move from theory to results.
This video was recorded over a month ago. Since then, AxonOS has upgraded substantially.
Development has continued steadily, and AxonOS is now running in mainnet beta at https://t.co/rSqIM3ngdA.
Recent milestones include:
• x402 v2 + Bazaar compatibility (https://t.co/DbtAJnFcKS)
• USDC payment rail with dynamic pricing
• Agent-native SSH provisioning
• Persistent user workspaces & storage
• Browser ↔ desktop file transfer
• Desktop audio and microphone support — enabling future voice-native workflows for AxonVoice
• Significant WebRTC/NVENC latency and stability improvements
• Concurrent GPU sessions
• Live telemetry (https://t.co/FRU00wWfNS)
• Numerous UX, wallet and session management improvements
I have also designed and developed the https://t.co/w185NZSm5b landing page and https://t.co/7FiWH6U3Tl, both of which are still under active development.
This is just the beginning. Looking forward to sharing more of the engineering behind AxonOS as we continue building an open-source, GPU-native operating system for AI and scientific computing.
Everything is being developed in the open as AxonOS continues to evolve.
Latest development: https://t.co/H1UcMW5zOd
Landing page: https://t.co/w185NZSm5b
Docs: https://t.co/7FiWH6U3Tl
Mainnet beta: https://t.co/rSqIM3ngdA
Built under @AxonDAO
#AxonOS #OpenSource #DeSci #GPUComputing #WebRTC #x402 #USDC #Linux
5 Health Signals Hidden in Your Voice
Your voice may be tracking things your words never say.
The pause before a word, the subtle drop in energy, the flatter tone when you are tired, and the small shifts in pitch, rhythm, breath, and volume.
Researchers are studying these patterns over time because they can reflect changes in the nervous system, cognition, mood, stress, and fatigue.
Here are 5 health signals hidden in your voice:
1. Neurological health
Your voice is partly controlled by your nervous system. Changes in vocal stability, loudness, pitch, articulation, and speech rhythm are being studied in conditions like Parkinson’s as possible markers of disease state or progression.
2. Cognitive load
You can sometimes hear cognitive effort in speech. When your brain is working harder, your pauses may get longer, your responses may slow down, and word-finding can become more difficult.
3. Emotional state
Your mood can change how you sound. Pitch, pace, rhythm, vocal energy, and variation can shift with emotional state. Researchers have studied these patterns in relation to depression, anxiety, and other mental health signals.
4. Stress and recovery
Stress affects your body, and your voice can reflect that. Breathing, muscle tension, vocal effort, and nervous system activity can influence tone, stability, energy, and voice quality.
5. Fatigue
When you are tired, your speech may become slower, quieter, flatter, or less precise. That is why voice is being explored as a signal for fatigue monitoring, workplace health, and clinical research.
The important part is not one recording.
It is the pattern over time.
Voice data can carry health, emotional, identity, and behavioral signals. It should not be collected casually or studied without clear consent.
That is why AxonVoice is being built as privacy-first research infrastructure for voice biomarkers.
A consent-first way to study voice as a health signal while giving participants control over how their data is collected, shared, and used.
Learn more: https://t.co/e5CPcEzNfs
AxonGPU has now crossed $60,000 in revenue.
Live GPU capacity is being rented, workloads are running, and demand continues to show up on the compute side of the ecosystem.
We’re marking the milestone with a 1M $AXGT burn.
Track GPU revenue live:
https://t.co/XGNbQmfGnN