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# ![@millionairebr0 Avatar](https://lunarcrush.com/gi/w:26/cr:twitter::1422155525093945350.png) @millionairebr0 millionairebro.btc | AGNT

millionairebro.btc | AGNT posts on X about $gmito, $tmito, open ai, 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 [#](/creator/twitter::1422155525093945350/interactions)
![Engagements Line Chart](https://lunarcrush.com/gi/w:600/cr:twitter::1422155525093945350/c:line/m:interactions.svg)

- X Week XXXXX +964%
- X Month XXXXX -XX%
- X Months XXXXXXX +5,252%
- X Year XXXXXXX +14,126%

### Mentions: X [#](/creator/twitter::1422155525093945350/posts_active)
![Mentions Line Chart](https://lunarcrush.com/gi/w:600/cr:twitter::1422155525093945350/c:line/m:posts_active.svg)

- X Week XX +1,300%
- X Month XX -XX%
- X Months XXX +970%
- X Year XXX +3,125%

### Followers: XXXXX [#](/creator/twitter::1422155525093945350/followers)
![Followers Line Chart](https://lunarcrush.com/gi/w:600/cr:twitter::1422155525093945350/c:line/m:followers.svg)

- X Week XXXXX +1.90%
- X Month XXXXX +1.70%
- X Months XXXXX +215%
- X Year XXXXX +388%

### CreatorRank: XXXXXXXXX [#](/creator/twitter::1422155525093945350/influencer_rank)
![CreatorRank Line Chart](https://lunarcrush.com/gi/w:600/cr:twitter::1422155525093945350/c:line/m:influencer_rank.svg)

### Social Influence [#](/creator/twitter::1422155525093945350/influence)
---

**Social category influence**
[technology brands](/list/technology-brands)  [cryptocurrencies](/list/cryptocurrencies)  [stocks](/list/stocks)  [countries](/list/countries) 

**Social topic influence**
[$gmito](/topic/$gmito) #1, [$tmito](/topic/$tmito) #1, [open ai](/topic/open-ai), [hybrid](/topic/hybrid), [ai in](/topic/ai-in), [$mito](/topic/$mito), [decentralized](/topic/decentralized), [builder](/topic/builder), [mesh](/topic/mesh), [llm](/topic/llm)

**Top assets mentioned**
[MITO (MITO)](/topic/$mito)
### Top Social Posts [#](/creator/twitter::1422155525093945350/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](https://x.com/millionairebr0/status/1978773255654944937) [@millionairebr0](/creator/x/millionairebr0) 2025-10-16T10:41Z 1110 followers, XX engagements


"@0xgeneralll @Morse_404 @MitosisOrg #MMGA gMITO 🧬"  
[X Link](https://x.com/millionairebr0/status/1978870719972020640) [@millionairebr0](/creator/x/millionairebr0) 2025-10-16T17:08Z 1122 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](https://x.com/millionairebr0/status/1979501208437158229) [@millionairebr0](/creator/x/millionairebr0) 2025-10-18T10:54Z 1123 followers, XXX 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](https://x.com/millionairebr0/status/1978806820392276020) [@millionairebr0](/creator/x/millionairebr0) 2025-10-16T12:54Z 1123 followers, XXX 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](https://x.com/millionairebr0/status/1979105929598775527) [@millionairebr0](/creator/x/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](https://x.com/millionairebr0/status/1979445919692268001) [@millionairebr0](/creator/x/millionairebr0) 2025-10-18T07:14Z 1123 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](https://x.com/millionairebr0/status/1979825845914235034) [@millionairebr0](/creator/x/millionairebr0) 2025-10-19T08:23Z 1123 followers, XX engagements

[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]

@millionairebr0 Avatar @millionairebr0 millionairebro.btc | AGNT

millionairebro.btc | AGNT posts on X about $gmito, $tmito, open ai, 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 #

Engagements Line Chart

  • X Week XXXXX +964%
  • X Month XXXXX -XX%
  • X Months XXXXXXX +5,252%
  • X Year XXXXXXX +14,126%

Mentions: X #

Mentions Line Chart

  • X Week XX +1,300%
  • X Month XX -XX%
  • X Months XXX +970%
  • X Year XXX +3,125%

Followers: XXXXX #

Followers Line Chart

  • X Week XXXXX +1.90%
  • X Month XXXXX +1.70%
  • X Months XXXXX +215%
  • X Year XXXXX +388%

CreatorRank: XXXXXXXXX #

CreatorRank Line Chart

Social Influence #


Social category influence technology brands cryptocurrencies stocks countries

Social topic influence $gmito #1, $tmito #1, open ai, hybrid, ai in, $mito, decentralized, builder, mesh, llm

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

"@0xgeneralll @Morse_404 @MitosisOrg #MMGA gMITO 🧬"
X Link @millionairebr0 2025-10-16T17:08Z 1122 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 1123 followers, XXX 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

"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 1123 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 1123 followers, XX engagements

creator/x::millionairebr0
/creator/x::millionairebr0