Joined March 2025
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Jon Cipher
@_joncipher50m
💫 ATTUNE - VECTOR LEVEL 1 CLOSED 💫 Attune just closed Vector Level 1. Earlier method: 79% on one task, one arm. Fine-tuned pi0.5 sat at 87%. Vector made it harder. Two arms. Sixteen tasks. One demonstration. Weights stayed frozen. Crown started at 49%. Finished at 87.9%. Beat the specialist on the harder exam. Behind on the easy job. Ahead on the hard one. That is the growth curve. Level 2 is open. robotensor.ai/blog/attune-ve… $TAO $SOL $COIN $HOOD $BTC $ETH $RNDR $FET $AKT $VIRTUAL $AI16Z #Bittensor #dTAO #PhysicalAI #Robotics #EmbodiedAI #DePIN #AI #Crypto #OpenSource #Subnet58
🤖 Made with AI
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Jon Cipher retweeted
Bittensor is shipping. Are you keeping up? 34 updates in today’s roundup: SN92 REAX competition SN48 Qrisp beta SN50 Synth Ultra expansion SN107 Minos ASHG schedule What’s live. What’s next. Sources included. Read today’s news 👇 shizzyunchained.com/subnet-n… $TAO
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Jon Cipher retweeted
i am buying @engyai here. #bittensor $TAO
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Jon Cipher
@_joncipher1h
💫 ENGY - MERGE MINING LIVE 💫 PRL merge mining is live on engy’s 5090s. Engy has already experimented with and deployed PRL merge mining across its full 5090 fleet. This is the quiet compounding move. The same GPUs that serve inference now generate additional revenue in the gaps between jobs, and utilization is holding near 100%. Hardware that was already paid for and powered is now working closer to full capacity, turning idle cycles into a second revenue stream without extra power draw or new boxes. Inference remains the priority. The team is still tuning the setup to protect peak-hour performance. That discipline is the point. Mining is additive precisely because it does not degrade the core service customers are already paying for. The fleet stays full. The primary business stays clean. The next step is visibility. The dashboard will be updated to show mining-side revenue alongside the inference numbers. Once that lands, both streams become measurable, and the utilization story stops being a claim and becomes a number the market can track. This is operational leverage in real time. The hardware is running. The software is deployed. Utilization is already near the ceiling. The remaining work is refinement and reporting, not invention. Dual revenue on the same fleet is how margins expand without waiting for the next capacity cycle. Read the signals. $TAO $SOL $AI $LLM $HOOD #Bittensor #TAO #AI #LLM #MiniMax #DecentralizedAI #SN53 #Engy #BlueTAO #RobinhoodChain #Inference #Crypto #Web3 #Solana #MergeMining #PRL
🤖 Made with AI
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Jon Cipher
@_joncipher1h
💫 ATTUNE - LEVEL 1 COMPLETE 💫 Attune just finished Vector Level 1. The score is not the whole story. The path is. Start with the earlier method. On one simple pick-and-place task with a single arm, it scored 79% when the scene changed. A specialist model that had been fine-tuned for the job sat at 87%. The adaptive approach was behind. Vector Level 1 then raised the bar. Two arms instead of one. Sixteen tasks instead of one. The model still sees only a single demonstration, then has to do the same work in a scene it has never seen. The weights do not change between the video and the score. No retrain. No new brain for the new job. Inside the competition the leader began at 49%. After two duels it was near 80%. By the eighth duel it cleared 90% and held there, touching 94% at the peak. Final mark: 87.9%. The fine-tuned specialist on the exact same sixteen-task exam scored 87.2%. Why that is the growth curve: the model did not stay on the easy problem and grind out a small gain. It moved to a harder problem and still closed the gap. Most systems need more data and a full retrain every time the work changes. This one took one demonstration, kept the same weights, and finished ahead on a wider test than the one where it started behind. That is the climb. The harder the job got, the more the adaptive layer pulled forward. Level 2 is open now. Read the signal. robotensor.ai/blog/attune-ve… $TAO $SOL $COIN $HOOD $BTC $ETH $RNDR $FET $AKT $VIRTUAL $AI16Z #Bittensor #dTAO #PhysicalAI #Robotics #EmbodiedAI #DePIN #AI #Crypto #OpenSource #Subnet58
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Jon Cipher retweeted
New #1 among open models on JevBench: Chon-1.0-12B by Ninh Nguyen. Capability 85.3, ahead of a 31B at 82.5. Impressive for 12B💪 BUT: when unsure it thinks, its slowest 5% of decisions take ~33s. Thus upcoming new rule: decisions >10s count as failed. benchmarkheaven.com/jev-mode…
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Jon Cipher
@_joncipher3h
Replying to @rBryer23
That looks pretty significant! I imagine the starting point is near the top a growth curve!
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Jon Cipher retweeted
Meet REAX 1, our open decision model built on Perplexity Decider v1.2. Our own measurement: +2.4 points over its base, ahead in all 6 test draws and all 10 areas. Open competition starts today 13:00 UTC: => Beat it, earn the rewards see reax.co/competitions
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Jon Cipher retweeted
Vector Level 1 is done: the first open competition for in-context learning in robotics. One demo, then a scene it’s never seen. Across 16 dual-arm tasks, the crown finished at 87.9%, beating fine-tuned pi0.5. 👑 robotensor.ai/blog/attune-ve…
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Jon Cipher retweeted
That's a wrap on Vector Level 1 👏 Show it once, then test it somewhere new. In the first open ICL competition for robotics, the Vector Level 1 crown closed at 87.9% across 16 dual-arm tasks, beating fine-tuned pi0.5. #bittensor #robotics #ai
Vector Level 1 is done: the first open competition for in-context learning in robotics. One demo, then a scene it’s never seen. Across 16 dual-arm tasks, the crown finished at 87.9%, beating fine-tuned pi0.5. 👑 robotensor.ai/blog/attune-ve…
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Jon Cipher retweeted
Autoresearch trees, gauntlet loops and gradient descent over research directions... let's see if we can create the best decision model in the world.
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Jon Cipher retweeted
Our decision models and the open-source Auto Router are now live on AntSeed, EU tier included 🇪🇺
Decision Models is now on @antseed 🎉 • Our decision models, including an EU tier • Our Auto Router: it picks the best model for each request to give you excellent price/capability
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Jon Cipher retweeted
🚨 Going LIVE Today at 12 PM ET! We're diving into Bittensor SN58 Attune with the team ( @robotensor_ai )! Join us as we break down what they're building and what's next for SN58. 🔴 Watch Live 👇 youtube.com/live/3i9F3_Ku8Fo bittensor:native
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Jon Cipher retweeted
Attune (SN58): Trading subnet sees surging demand and investor inflow Emissions jumped 164% in 24 hours as network rewards contributors faster for their work. Net new capital flowing in: +259 TAO deposited yesterday, price up 58%, gap score +32. alphagap.io $TAO
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Jon Cipher retweeted
Same GPUs. More AI. Lower costs? I’m joined by @xavi3rlu from @pareton_ai to explore how SN10 is building faster, cheaper AI inference on Bittensor. Miners compete to improve the software running your models. This is what building on $TAO looks like. xitter.cf/i/broadcasts/1yKAPwWjP…
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Jon Cipher retweeted
This Bittensor subnet market is boring as hell lately. 😂 @const_reborn do something that pisses the haters off already! ROOT WARS REBORN! 🔥 bittensor:native
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Jon Cipher retweeted
Happy to join the @lmsysorg SGLang meetup at LinkedIn. So much talent and inspiration in this space. If you want to build in this space, come work with us at engy.ai. With @trajrl , we're building the best agent infra. DMs open. – at Sunnyvale, CA
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