ConniCore

Watching builders, not narratives.
TAO • SN102

[ConniCore @ConnitoCore]

Note: I believe in the project, but I am not part of the team.

@ConnitoAI

[ConniCore @ConnitoCore]

- My personal opinion.
@const_reborn
you deserve thanks, and so does everyone who helped build this ecosystem.

What started as a network has become a catalyst for change. Not only financially for many people, but in ways that will continue to touch lives across countless fields.

AI is no longer a future concept; it’s a reality. And what the different Bittensor subnets are building today may become the foundation for ideas, tools, and services that make life easier for millions tomorrow.

I hope to see this vision continue to grow and reach its full potential.

#TAO #Bittensor

[ConniCore @ConnitoCore]

The technical results look promising. The next milestone is proving demand: real customers, real workloads, and real revenue. If that happens, SN102 could be something special.
@connitoai #ConnitoAI #SN102 #Bittensor #TAO

[Connito AI @ConnitoAI]

Inside our decentralized training breakthrough: using 5× less memory than the full model while training 4× faster than ESFT.

https://t.co/RWFCEEOHiQ

[Connito AI @ConnitoAI]

Inside our decentralized training breakthrough: using 5× less memory than the full model while training 4× faster than ESFT.

https://t.co/RWFCEEOHiQ

[ConniCore @ConnitoCore]

SN102 continues to show strong technical progress.

Recent dashboard data shows validation loss improving from ~0.20 to ~0.14, while competition among miners remains intense with ~225-255 active miners. Meanwhile, Connito’s latest research claims its in-place ESFT approach achieves performance comparable to classic fine-tuning while using ~80% less GPU memory and training ~4x faster.

The technology is working. The next milestone is proving real customer demand.

@connitoai #ConnitoAI #SN102 #Bittensor #TAO #DecentralizedAI #AI

[ConniCore @ConnitoCore]

@markjeffrey Paris is truly beautiful at this time of year.

Excellent choice, and I hope you have a fantastic and memorable trip to Paris.

[ConniCore @ConnitoCore]

@const_reborn Sn102 ☝🏻♥️

[ConniCore @ConnitoCore]

Take a look
@const_reborn

From 10% failed → just 2%.
Baseline loss keeps improving, validators are active, and SN102 is clearly evolving in real time.

This isn’t hype. This is progress. 🧠⚡

Connito keeps building. Quietly. Consistently. And the dashboard is starting to show it.

@connitoai #ConnitoAI #SN102 #Bittensor #TAO #DecentralizedAI #AI

[ConniCore @ConnitoCore]

Few days ago, many doubted the pace of development on SN102… now the dashboard tells a different story.

📈 3,108 scored models
⚡ 5/5 validators live
🔥 256/256 miners active
🧠 Continuous training, scoring & weight distribution in motion.

This isn’t hype — it’s visible progress. Building never sleeps. SN102 is getting stronger by the day. 🚀

@connitoai #ConnitoAI #SN102 #Bittensor #TAO #DecentralizedAI #AI

[ConniCore @ConnitoCore]

Recent updates on Connito’s GitHub show real progress behind the scenes:

• Better AI model handling
• Improved system stability
• Isolated upload processes for stronger reliability
• Continuous upgrades moving from testing to live deployment

This isn’t hype it’s real building.

SN102 keeps evolving, one update at a time. 🧠

@connitoai #ConnitoAI #SN102 #Bittensor #TAO #DecentralizedAI #AI

[ConniCore @ConnitoCore]

The progress in just a few days speaks for itself. ⚡️
More validators joining. Stronger miner competition. Stable subnet activity. Continuous emissions and real on-chain development.
SN102 isn’t standing still it’s evolving, round after round. 🧠
Patience. Builders. Vision.
@connitoai #ConnitoAI #SN102 #Bittensor #TAO #DecentralizedAI #AI

[ConniCore @ConnitoCore]

No matter the volatility, real builders keep building. ⚡️

More validators. Active subnet. Rewards flowing. Competition alive. SN102 keeps evolving and the vision is getting stronger.

We’re not here for one candle we’re here for the long game. 🧠

@connitoai #ConnitoAI #SN102 #Bittensor #TAO #DecentralizedAI #AI

[Lultimate ⭐ @timatilos]

ConnitoAI $SN102 is waking up.

Price back at τ0.016581 with strong green on the board, +10.48% in 1H and +8.52% in 24H.

Still a tiny cap at just τ6.47K market cap, with τ754 volume and only τ4.05K liquidity. That’s the kind of setup that can move stupid fast when flows come back.

Small float. Thin liquidity. Momentum flipping.

Worth watching. $TAO #Bittensor #SN102

[Jon Cipher @_joncipher]

$TAO Smart money! ⬇️⬇️

🚨ConnitoAI SN 102💥

🚨 Why Smart Capital is Rotating from Root → ConnitoAI (SN102) Right Now
Root APY is being deliberately pushed toward 0% — it’s becoming a low-yield parking spot.
Meanwhile, ConnitoAI offers one of the strongest asymmetric staking setups in Bittensor today.
Why SN102 is standing out:
• True decentralized MoE training: Miners only train a few specialized experts locally (zero comms during training) on affordable GPUs → scales cleanly to 100B+ parameters.
• Already shipping proof: Math-domain POC delivered real gains with no catastrophic forgetting.
• Near-term catalysts: Dashboard launches May 26 (in 7 days) + full research paper in 1-2 months.
Staking edge (especially attractive now):
• Extremely high early APY — thanks to low current stake + strong emissions (many successful subnets deliver 40–100%+ APY, with early spikes much higher).
• Low entry point — still very small market cap, giving you massive room for alpha token upside as TaaS revenue starts flowing in Q3/Q4 2026.
• Perfect positioning for the agentic economy (dynamic specialist experts for agent swarms).
Elite tiny team (Isabella Liu + George). Methodical research-first execution. Working POC already delivered.
Stop earning fading Root yield. Deploy into real decentralized frontier training with high yield + low entry + big upside.
This is how you position for the next leg in $TAO.
Easy play, be smart👇
#Bittensor #DecentralizedAI #TAO $TAO $SOL #ConnitoAI #MixtureOfExperts #TaaS #AgenticAI #DeAI #Crypto #Web3 #Solana #AI

[Jon Cipher @_joncipher]

$TAO ConnitoAI SN 102

🚨 Real-World Use Case: How ConnitoAI Powers a Healthcare AI Agent Company
Company: MediAgent Inc. (a startup building autonomous AI agents for hospitals).
The Problem
MediAgent needs a specialized medical reasoning model trained on millions of private patient records, research papers, and drug interaction data.
Centralized options (OpenAI, Anthropic, etc.) are expensive, have privacy risks, and don’t allow continuous fine-tuning on proprietary data. Training it themselves would cost millions in GPUs.
How ConnitoAI Delivers (TaaS in Q3/Q4 2026)
1. MediAgent pays ConnitoAI in TAO (or fiat via the platform) for a training job.
2. The network activates relevant specialized experts (miners train only the medical-domain experts locally).
3. Zero heavy coordination — miners use their own affordable GPUs.
4. Proof-of-Loss validators confirm real improvement on hidden medical benchmarks.
5. MediAgent gets back an enhanced Mixture-of-Experts module they can plug into their agent swarm.
Result: Their agents now excel at diagnosis support, treatment planning, and research summarization — while keeping data private and decentralized.

In Year 1 after launch, the platform could realistically generate revenue like this:
Pay-per-training jobs at $50k to $250k each could bring in $2M to $8M from 20–40 enterprise customers.
Ongoing subscriptions for continuous expert updates at $10k–$50k per month per client could add $5M to $15M from 30–50 recurring users.
Composable expert marketplace fees (10–20% platform cut on reused modules) could contribute another $1M to $4M.
Total potential platform revenue: $8M – $27M+ in the first year.

How the cash flows:
• Customer pays → ConnitoAI takes 15–25% cut
• Majority goes to active miners & validators (real usage rewards)
• Reusable experts create compounding value
This is just one industry (healthcare). Multiply across finance, legal, DeFi agents, defense, etc. → ConnitoAI becomes a serious revenue-generating business on Bittensor.
This use case is exactly why stakers are rotating from Root to SN102 before the May 26 dashboard.
RELEASE THE KRAKEN 🐙💰
TaaS will be the biggest narrative in late 2026? 👇
#Bittensor #DecentralizedAI #TAO $TAO $SOL #ConnitoAI #TaaS #AgenticAI #DeAI #Crypto #Web3

[Jon Cipher @_joncipher]

🚨 THE KRAKEN IS AWAKENING — CONNITOAI SN102 IS ABOUT TO EXPLODE! 🐙💥
Root APY is getting crushed toward 0% on purpose — why sit there like a bagholder when the real beast is rising?!
ConnitoAI (SN102) is unleashing decentralized 100B+ parameter training the way Bittensor always dreamed of:
• True MoE savage mode: Miners forge only a few specialized experts locally on cheap A6000 GPUs
• ZERO comms during training — pure efficiency
• Math POC already crushing it with real gains + zero catastrophic forgetting 🔥
DASHBOARD DROPS IN JUST 7 DAYS (May 26) — the monster surfaces!
Full research paper incoming. TaaS platform Q3/Q4 for real paying customers.
Staking is INSANELY juicy right now:
• Extremely high early APY (thousands % spikes possible — low stake + fat emissions)
• Super low entry point — tiny market cap = massive alpha rocket fuel as revenue hits
• Built for the agentic economy — specialist experts that keep compounding forever
Elite team. Working POC delivered. Research-first execution. This is the training factory that turns Bittensor into a frontier AI powerhouse.
STOP SLEEPING ON ROOT.
Deploy into the Kraken before May 26 and ride the next leg of $TAO!
RELEASE THE KRAKEN!!! 🐙🚀💥💥💥
Who’s loading SN102 before the dashboard? LFG 🚀🚀🚀
#Bittensor #DecentralizedAI #TAO $TAO $SOL #ConnitoAI #MixtureOfExperts #TaaS #AgenticAI #DeAI #Crypto #Web3 #Solana #AI

[Aphτ 🌊α @tao_Alph]

SN102 @ConnitoAI It’s time for loading up ConntoAI ! This correction is a gift 🎁

Distributed training framework !! People are asking what if we train 100B parameters , 1T parameters …!! It 1T is possible then it will he done on ConnitoAI SN102!

[Connito AI @ConnitoAI]

Top notch analytical piece from @TensiaFDN explaining how can this decentralised training framework work out in bittensor 🔥🎉 Follow us for more

[ConniCore @ConnitoCore]

Most people in $TAO are watching hype.

I’m watching builders.

After spending serious time researching subnets, one project keeps pulling me back:

@ConnitoAI (SN102)

Why?

Because they’re attempting one of the hardest problems in decentralized AI:

Distributed training.

Not inference.
Not wrappers.
Not AI buzzwords.

Actual decentralized model training using Mixture of Experts (MoE)
where miners train only the most relevant experts instead of retraining an entire massive model.

What caught my attention:

✅ Whitepaper
✅ Live dashboard
✅ Open-source GitHub
✅ Working miner/validator mechanics
✅ Proof-of-Loss system
✅ Team deeply rooted in Bittensor

sometimes the biggest opportunities don’t look obvious at first.

Am I missing something, or is @ConnitoAI one of the most interesting long-term bets in $TAO right now?

#TAO #Bittensor #DeAI #ArtificialIntelligence