Indirectly negative co-founder @inference_labs / Sloperator arc
127.0.0.1
Joined February 2013
- Tweets921
- Following952
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Ron C retweeted
Inference Labs took the stage in Dubai and came away with the audience vote.
Big thanks to the Daos Hub Dubai team for bringing together founders, investors, and operators, and to @colingagich for representing us and presenting the pitch.
Ron C retweeted
1/ Zero-knowledge verification for production vision models is now practical on consumer hardware.
Our paper "Targeted Zero-Knowledge Verification for Computer Vision Inference" is published in Springer's CVC 2026 proceedings (LNNS 2036).
How it works:
link.springer.com/book/10.10…
Ron C retweeted
Workplace safety is visual, contextual, and often happening in motion.
Computer vision can detect people, hard hats, hi-vis vests, gloves, and ear protection in the same scene, helping teams monitor PPE compliance and unsafe conditions.
Sertn makes it easier to build, deploy, and verify these workflows.
sertn.ai/
Ron C retweeted
Airport operations are full of small but important visual signals: aircraft, engines, jet bridges, ground crew, tugs, and movement around restricted areas.
With Sertn, teams can label what matters in their own environment, train custom vision models, and move faster from raw footage to usable AI workflows.
sertn.ai
Ron C retweeted
Do you realize that @tao_minersunion, while it has not became the biggest validator in Bittensor all its core founders are deeply involved in $TAO?
@Rapido_ai still owner of MUV and built @taoswap_org
@kubernautis backend dev of @TrustedStake and frontend built by @cisterciansis (who I mined with in 2023-2024).
@Wejh69 lead dev of subnet 66 @Ninja_Subnet which @const_reborn just praised
@papiercirer is backend dev for subnet 33 @ReadyAI_ and doing a great job as always
@inference_labs is still running subnet 2 Dsperse
Myself, mining in the top Bittensor subnets such as @chutes_ai + @lium_io and created long-term partnership with a reputable DC. Built infra for a open-participation mining pool in Chutes with auditable payment rails and built @taoflows_app
While MUV, as a co-owned validator, ended up with Rapido taking the full ownership and it seemed like it failed, our core mission is still ongoing as individuals working around Bittensor.
Many times people picture me as an hostile troll but when you sum the actions and results, you can see I'm on your side. When i'm critical, it's because I care and I'm a perfectionist, always looking for an utopic perfection which is impossible or always too soon to be real. So yeah I'm annoying, granted, but i'm doing my best so that I can think about Bittensor in a positive way in the present and future
Ron C retweeted
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 🔔
Ron C retweeted
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.
subnet2.inferencelabs.com/
Trust Me 2160p
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:
linkedin.com/pulse/tees-buil…
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:
medium.com/p/scoring-proven-…
Well it was fun while it lasted. Licensing will change in less than a year.
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.
Ron C retweeted
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.
Ron C retweeted
.@inference_labs 要搞两个线下活动，一个演讲一个实操工作坊。 在加拿大多伦多，2月10号，他们家的@sudo_ron 会去演讲，主要聊AI驱动的决策、预测市场，还有随着机器在各个市场和媒体里参与度越来越高，可验证基础设施起到的作用，不用懂太多专业术语，就是跟大家分享这方面的思路。
第二个活动在阿联酋阿布扎比，2月12号，@colingagich 会主持一个实操的预测市场工作坊。
全程由他带队，教大家预测市场到底怎么运作、实际能用到哪些地方，还有开发者们怎么开始尝试做相关的东西，不是光听理论，能上手了解。
能看出来@inference_labs 这波是想通过线下活动，让更多人了解AI和预测市场的相关内容，不管是想听演讲了解思路，还是想参加工作坊学实操，感兴趣的都可以多留意下。
#VerifiableAI #zkML #InferenceLabs @inference_labs
Looking forward to this tonight!
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
luma.com/3vappx07
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.
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 👇
openai.com/index/retiring-gp…
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.