Old world: giant data center, racks of GPUs, power/cooling/water/land, $200M gatekeeping.
Parallax world: distributed GPUs, regular machines, no training data exposed to workers, same time target with ~82% less hardware/resources.
Proof of Parallax.
$TAO
🚨 do you understand what happened to Claude..
Anthropic just shipped Opus 4.8 with something called dynamic workflows.
It no longer works alone - it spins up hundreds of agents that argue, verify, and break each other's work until the answer is right.
- A dev used it to port Bun from Zig to Rust in 11 days
- 750,000 lines of Rust, 99.8 percent of tests passing
- Hundreds of agents ran in parallel with two reviewers per file
- Fast mode runs the same model 2.5x faster and 3x cheaper than before
work you used to plan in quarters now finishes before the weekend
This is not your typical subnet partners with another subnet announcement.
It's a mainstream AI lab adopting the product of another AI lab building on BitTensor
📢 @chutes_ai is now a customer of Trishool.
Chutes will be deploying Halo as the security layer for its two flagship products, Chutes Chat and Fictio, protecting real user conversations in live AI products.
Chutes is taking this important step because the safety of user data is highly important to them, and this is the best action taken to shield against jailbreaks, exploits, and data risks at scale.
What this means for the Bittensor ecosystem:
- This indicates a genuine commercial customer relationship between two top subnets. it begins as a pilot and will become a paid engagement, actively protecting thousands of daily user interactions
- Trishool(SN23) will become revenue generating soon
- Both teams are being built natively inside the Bittensor ecosystem.
- This shows that decentralized AI on Bitternsor is evolving just beyond emissions driven activity into genuine, real-world product usage.
For Trishool, this is a major long-term milestone. Halo is moving beyond internal testing, it will protect thousands of daily user interactions and prove it can deliver enterprise-grade safety at scale. This opens the door to more commercial deployments as we push toward SOTA performance.
We're now moving into an era of real product usage with real customers paying for a product that actually works.
The trust built with Chutes reflects a strong working relationship. We remain fully focused on delivering real results. More to come.
Why are you wiring up four different API providers?
One endpoint powers every AI tool you already use. 60+ open-source models behind it.
TEE confidential compute and post-quantum E2EE for sensitive workloads.
Hermes agent, Open Claw, Claude Code, n8n, and more or build your own app and point them all at https://t.co/AwJu7ktgOt.
That's the whole pitch.
https://t.co/guboAo3QjE
Also, at 1 pm ET/Knicks time (10 am Left Coast, 12 pm Texas Time), we're gonna have @jon_durbin from @chutes_ai on @twistartups—you can watch live here on my handle (or on YouTube).
Chutes is #bittensor subnet 64 -- the largest subnet by marketcap... they have 1,049 GPUs available
Their pricing is designed to be a race to the bottom—in the best way: competition!
I've invested $750k in $tao and subnets because I believe the system will hit a couple of home runs through the entrepreneurial energy in the subnets (I'm also investing in subnets via @stillcorecap).
HUGE SHOW TODAY ON TWIST!
We've all been hearing about @usvc_ , the fund from AngelList, bringing VC returns to retail investors! Joining us is @ankurnagpal, a GP at the fund to take your questions!
Also, @jon_durbin from @chutes_ai is joining us! Chutes is subnet 64, the largest subnet by marketcap!
Then, we've got @theyashgoenka, CEO of Humwork, the YC company redefining the relationship between humans and agents!
Sign in with Chutes functionality has been amazing for Oro!
Miners bring their own credits to compete in the arena.
Looking forward to even more collaborations with Chutes in the future.
What does it take to run 3, 5, or even 10 concurrent instances of Gemma 4 locally?
We've open-sourced a demo letting you run multiple models side-by-side on your hardware.
Gemma 4 26B A4B easily runs 10+ concurrent requests on a MacBook Pro M4 Max at 18 tokens/sec per request.
Kimi K2.6 by @Kimi_Moonshot is now live on Chutes.
54.0 on HLE-Full with tools. Ahead of GPT-5.4 (52.1), Claude Opus 4.6 (53.0), and Gemini 3.1 Pro (51.4).
It also leads on:
- SWE-Bench Pro: 58.6 (ahead of all three again)
- DeepSearchQA f1: 92.5 (next closest is Claude at 91.3)
- BrowseComp with Agent Swarm: 86.3 (up from K2.5's 78.4)
1T parameters, 32B activated. 256K context. Native multimodal. Modified MIT license.
Agent Swarm now scales to 300 sub-agents across 4,000 coordinated steps in a single run.
Running inside a TEE on Chutes. The GPU operators serving the model can't see your prompts or outputs.
$0.95 in / $4.00 out per million tokens.
Try it now: https://t.co/Ukw3jPmLw9
Our TEE implementation was the foundation for secure compute at https://t.co/T6J54WrtCH, but we’re not stopping there.
We’re actively adding new capabilities to push closer to true trustless compute on the Bittensor network.
Here are two major improvements we’re working on right now 👇 #Bittensor #ConfidentialComputing