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@millionairebr0 Avatar @millionairebr0 millionairebro.btc | AGNT

millionairebro.btc | AGNT posts on X about open ai, $gmito, $tmito, hybrid the most. They currently have XXXXX followers and XXX posts still getting attention that total XXX engagements in the last XX hours.

Engagements: XXX #

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Mentions: X #

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Followers: XXXXX #

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CreatorRank: XXXXXXXXX #

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Social Influence #

Social category influence technology brands XXXX% cryptocurrencies XXXX% stocks XXXX% countries XXXX%

Social topic influence open ai 0.49%, $gmito #1, $tmito #1, hybrid 0.24%, gpu 0.24%, git 0.24%, $mito 0.24%, decentralized 0.24%, builder 0.24%, mesh XXXX%

Top accounts mentioned or mentioned by @mitosisorg @jimbocryptoland @fluffyunicornn9 @fmchxx @nobody344 @d_knighttrader @georgeinsolana @blue_oceanm @aleebrics @dabirivahid @kimmoonsoon @0xdegengod @emmyycrypt @onlyhommie @dabere75 @calitoo112 @hornycrypton1 @chromoexchange @telomoney @dknighttrader

Top assets mentioned MITO (MITO)

Top Social Posts #

Top posts by engagements in the last XX hours

"gSwarm BIT-PERFECT OR BUST ⚙ In a people-powered compute network close enough breaks consensus and invites cheats. @gensynai s RepOps forces deterministic math across NVIDIA AMD and even CPUs so every training step is identical - byte-for-byte. Thats the foundation that lets an open ML grid actually work at scale. Why it matters: Reproducibility = verifiability. If two nodes disagree Verde can bisect the trace and re-run the exact op on-chain. Determinism makes the culprit undeniable. Heterogeneous hardware same truth. Mixed rigs still produce the same hashes and checkpoints. Fair pay for"
X Link @millionairebr0 2025-10-16T10:41Z 1110 followers, XX engagements

"gSenti Why Network Representatives (Reps) matters now. Expert signal is the circuit-breaker for pure stake/popularity capture in open AI. In @SentientAGI Reps help steer curation and reward weights toward real utility. Quick poll - whats the best design Poll options (choose 1): X. Stake-weighted Reps: skin-in-the-game simple. X. Usage-weighted Reps: wins & revenue first. X. Hybrid (usage + stake caps COI rules): balance signal with safeguards. X. Rotating domain juries: short terms reputation/slashing. My pick: 3) Hybrid. Why : aligns funding with provable usage limits whale capture via"
X Link @millionairebr0 2025-10-18T10:54Z 1121 followers, XXX engagements

"gSwarm START A NODE IN XX Want to turn your rig into yield and help secure open AI Heres the 10-minute checklist to spin up your first @gensynai node. Permissionless transparent and every step earns you provable credit. Checklist: X Hardware: GPU (NVIDIA/AMD) or CPU for lighter tasks. Stable internet. X Repo: Clone the RL Swarm repo git clone + set up env (conda/Docker). X Run: Connect to the Gensyn Testnet. Your node gets a persistent on-chain identity on the ML rollup. X Verify: RepOps guarantees bit-perfect math; Verde ensures results are provable. When disputes arise only the faulty step"
X Link @millionairebr0 2025-10-19T07:56Z 1121 followers, XX engagements

"gMITO 🧬 mitosians 🫰 Done With My This Weeks @MitosisOrg activity 🫡 Epoch X has officially started Here's What i did today : 👉 Claimed My $gMITO staking reward 👉Claimed My $MITO from $gMITO conversation and swapped then to $tMITO 👉Staked those $tMITO to @Morse_404 Validator 👉 Re-delegated my staked $tmito to @Morse_404 . 👉 Conversation Process of this weeks $gMITO to $MITO initiated. What did you do"
X Link @millionairebr0 2025-10-16T12:54Z 1123 followers, XXX engagements

"@0xgeneralll @Morse_404 @MitosisOrg #MMGA gMITO 🧬"
X Link @millionairebr0 2025-10-16T17:08Z 1122 followers, XX engagements

"gSwarm Skip the wait. In decentralized training idle GPUs kill velocity. @gensynai s SkipPipe dynamically reroutes micro-batches to keep every stage busy - cutting iteration time XX% with similar final quality. No more bubbles no more idle stages - just steady gradient flow across a permissionless mesh. How it works (builder TL;DR): 👉stages arent fixed; SkipPipe detects stragglers and skips blocked segments rescheduling micro-batches across available nodes to keep the pipeline full. 👉In practice: drop in SkipPipe for multi-GPU/multi-node pipelines keep batch size/accuracy pair with RL"
X Link @millionairebr0 2025-10-17T08:43Z 1123 followers, XX engagements

"gSenti ROMA Search SOTA results (no-BS) Its not bigger model wins 🙂 its orchestration. On SEAL-0: ROMA hits XXXX% vs Kimi Researcher XXXX% and Gemini XXX Pro 19.8%. Open Deep Search + a strong open LLM posts XXXX% on FRAMES (vs GPT-4o Search 65.6%) and XXXX% on SimpleQA (vs GPT-4 90.0%). Takeaway: Decompose high-quality retrieve verify aggregate beats one-shot agents. Build better routers not just bigger weights. Track win-rate verification coverage cost/solve latency SLOs. Ship whats measurable. Tag me and @SentientAGI with your numbers. art credit - @artemoreartx #ROMA #OpenAGI #AI"
X Link @millionairebr0 2025-10-18T07:14Z 1121 followers, XXX engagements

"@0xgeneralll @MitosisOrg gMITO 🧬 chad you are doing amazing i have staked a total of 17k $tmito each week about XX $gMITO emissions"
X Link @millionairebr0 2025-10-19T08:23Z 1118 followers, XX engagements

"gSwarm KEEP THE WEIGHTS 🏋♂ Heres the underrated perk of running a node on @gensynai: you dont just help the network - you walk away with a stronger model yourself. Every time your node joins a RL Swarm your local model trains alongside the swarm critiques others absorbs the collective improvements and then you keep the upgraded weights. Its the ultimate win-win: 👉Contribute: Your rig supplies compute gets logged on the ML rollup and earns credit for verified work. 👉Gain: Verde + RepOps ensure what you train is reproducible and verifiable so improvements stick. 👉Own: Instead of donating"
X Link @millionairebr0 2025-10-19T12:09Z 1121 followers, XX engagements