Little known fact. Our DNA runs through robotics, early NLP systems, and human–AI behavior and cognition since 2014. We do not chase narrative bandwagons. We are founders who have built deep conviction in this space for over a decade.
The first RoboStrategy Investor Day is Wednesday, June 10 at 10:00am ET
The team will walk through the robotics thesis, fund, portfolio, and how we invest in robotics and physical AI
Will be streamed from the @RoboStrategy account on X - follow and turn on notifications 🔔
SN2 Dsperse has now surpassed 1B+ proofs completed.
Proof throughput continues to accelerate, with peak volume reaching 19.4M proofs/day as larger models become increasingly practical to verify at scale.
Verifiable inference infrastructure is moving into production.
https://t.co/qv3NBYgmZy
1/ Netflix spends billions on TEE-backed DRM. 4K leaks still drop within days.
Not a Netflix failure. A lesson about what TEEs can and cannot do. And it applies directly to AI infrastructure.
Full breakdown below. Article here:
https://t.co/jJQvoWMdIc
1/ Introducing https://t.co/oYqiycqswQ
Deploy Vision AI on any camera, even ones you don't own. Describe what you need, connect any feed, and get predictions that are cryptographically verified. From idea to auditable proof in one platform within minutes.
https://t.co/mREoQptLNn
@opendansor@ericweinstein We wrote about this over a year ago! OpenAI also recently is indicating that the model picker is being removed. Customers won’t know what inference they are getting.
Announced the partnership 14 days ago. Since then, we have compiled arithmetic circuits for Score’s public HuggingFace models and deployed them on SN2. The team keeps shipping.
What happens when computer vision is wrong?
In sports prediction, autonomous systems, or defense, failure is expensive. We’re bringing cryptographic verification to AI inference using distributed zkML proving across DSperse (Subnet 2).
This is what provable vision looks:
https://t.co/5uPF7iT0Io
Peter Steinberger is joining OpenAI to drive the next generation of personal agents. He is a genius with a lot of amazing ideas about the future of very smart agents interacting with each other to do very useful things for people. We expect this will quickly become core to our product offerings.
OpenClaw will live in a foundation as an open source project that OpenAI will continue to support. The future is going to be extremely multi-agent and it's important to us to support open source as part of that.
MiniMax M2.5-HighSpeed⚡is live! 100 TPS — enjoy the 3× speed.
In the 48 hours since launch, thank you all for your incredible support and love for MiniMax M2.5!
Designed for the next generation of Agent applications, we’ve officially launched MiniMax-M2.5-HighSpeed.
Delivering blazing-fast inference at 100 TPS — 3× faster than similar models.
Supports both API integration and Coding workflows.
Choose from Plus, Max, or Ultra plans.
Invite friends and enjoy 10% off instantly.
Wishing you all Happy Chinese New Year! May the 🐎 year bring speed, scale, and breakthrough luck. 🚀
Vouching for @R3ACHNTWRK and @Topdog2222_. @inference_labs has been working with them post InfoFi and it's been refreshing to find an agency that can execute but also champions of integrity.
1/ Inference Labs @sudo_ron will be speaking at Prediction Arc: Toronto this week.
Ron C will be discussing AI-driven decision making, prediction markets, and the role of verifiable infrastructure as machine participation grows across markets and media.
Toronto, Canada | Feb 10
https://t.co/NS7SuHmC9R
There are an estimated 30 billion cameras in the world. Even with 1 million people reviewing footage nonstop, it would take 82 years to review a single day. We have faced this reality with the FAA and Nav Canada. Intelligence at the edge is the only way to scale, and that intelligence must be verified. Excited to be working with @MaxScore and his team 🤝
1/ We are excited to announce a partnership with @webuildscore SN44 and DSperse SN2.
Together, we are bringing intelligent vision and cryptographic verification to environments where speed, scale, and auditability all matter.
Without cryptographic proofs or verifiable execution, you are not interacting with a model.
You are interacting with a policy layer that can change at any time.
OpenAI is retiring the model picker and several models like GPT-4o and GPT-4.1.
The stated reason sounds harmless. The real implications are not 👇
https://t.co/mM0EKNxKfE
This is not just an OpenAI issue.
This is the default outcome of closed inference without guarantees. Others will follow because the incentives are obvious.