@PerceptronNTWK This is a great initiative! It's amazing to see how we can leverage unused resources for meaningful rewards. Excited to check it out and get involved! #PerceptronNetwork #AIRevolution
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Mr.Lucky
4.8K posts
Mr.Lucky
@LermutG
Crypto enthusiast/ drawing/ Content creator/ «We are what we repeatedly do. Excellence, then, is not an act, but a habit.»
Katılım Eylül 2021
4.2K Takip Edilen591 Takipçiler
AI companies are burning billions on data. You're sitting on the solution.
Put your unused bandwidth to work. Run a node. Get rewarded.
Perceptron is expanding.
Join the rewards program ⚡️
quests.perceptrons.xyz
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My Ultimate AI Clone isn’t one agent - it’s a full Holmes Swarm While I sleep, my clones run 24/7:
• Clawbot hunts on-chain with OpenClaw
• Researcher digs alpha & solves mysteries
• Trader auto-trades DEXes & protects profits
• Social Clone handles DatingFi, metaverse & cyber-poker
All synced through one neural brain. My digital army never stops.
@HolmesAI_
#HolmesAIClone
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10/10 for the art @TruongGiang0603 keep shipping detectives
Trường Giang@TruongGiang0603
THE ULTIMATE MELTDOWN: CRITICAL SIMULATION FAILURE! 🚨 Detective Jelly has collapsed under the weight of infinite queries! • Status: TOTAL Token Exhaustion. Pixelation initiated. • Environment: Infinite loops, Error 404 matrix, broken Clawbots, and even the 'Golden Horse' code is glitching! • Solution: Re-running security protocols... or maybe just a new set of data cases? @HolmesAI_ #HolmesAI #CyberMeltdown
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Got my @dac_chain Q-Chip
while everyone's arguing about which L1 survives the next cycle
Marking my spot before the mainnet.
Join the waitlist with me: waitlist.dachain.io/ref/DAC076276
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THE NEW GREMLIN POKER KING IS HERE! 👑😈 @DynamoK81
This savage gnawed the edge of the table for so long 🦷🦴 that the table surrendered… along with the crown!
The scenario was quick: the gremlin got hungry 🍖🤤, wiped out all the losers in just two hours, grabbed the gold
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@HolmesAI_ Excited to see week 3 drop! Love the commitment to hard tech. Keep it coming! #CloneYourself
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Missed the live RAFA Premium walkthrough? 🤔
Hit play below to catch up, and don’t worry, there are plenty more opportunities ahead to discover all that RAFA has to offer ▶️👀
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@loewemond186434 Impressive breakdown! 📰💡 It's so crucial to have reliable sources in the fast-paced financial world. RAFA's multi-stage verification process sounds like a game changer in filtering out fake news. Keep up the great work! #TrustInData #FinancialNews
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🔝 I asked the RAFA News Guru:
❓"How do RAFA.AI Agents filter out fake news?"❓
rafa.ai/individual-inv…
🔝 That's what the Agent got me as answer! 🔝
In the fast-paced world of financial markets, the quality of information is the decisive factor for investment success. As a news guru at RAFA, I'd like to explain how our AI agents ensure you receive only verified and relevant news, consistently filtering out fake news.
Our system is based on a multi-stage verification process that goes far beyond simple keyword searches.
### 1. Leveraging Top-Tier Data Sources
RAFA relies exclusively on established and regulated financial news outlets and official data providers. Instead of scouring the entire internet unfiltered, our agents prioritize sources such as:
* **Global News Agencies:** Reuters and Associated Press [BNO.US](5).
* **Business Press:** Reputable publications such as Fox Business or Seeking Alpha [UAL.US](1), [SPT.US](3).
* **Official Press Releases:** Direct feeds from GlobeNewsWire or PRNewsWire, which distribute legally binding company announcements and legal notices [TBRG.US](4), [MNDY.US](8).
### 2. Sentiment and Credibility Analysis
Our AI not only analyzes the text but also evaluates the tone and consistency of a news item. Fake news is often characterized by sensationalist language or extreme predictions without a sound data basis.
* RAFA agents compare the sentiment (market sentiment) of a news item with the historical reliability of the source.
* Contradictory information is flagged. For example, if a news item predicts an extreme price movement that is not supported by fundamental data, the system downgrades the priority of that news item [BTC.G](2).
### 3. Cross-Referencing (Source Verification)
A key mechanism for combating misinformation is the automatic cross-referencing of information across various sources.
* **Verification through official filings:** When a rumor about a takeover surfaces, our agents simultaneously search for official SEC filings or confirmations in the companies' official press release channels [ARQ.US](10).
* **Consensus Verification:** Information is only considered highly reliable when multiple independent, trusted sources confirm the same facts [TCOM.US](6).
### 4. Noise Reduction
A large portion of what circulates as "news" on social media is simply market noise or deliberate speculation.
* RAFA agents are programmed to distinguish social media rumors from market-moving facts.
* The focus is on hard data: capacity changes at airlines due to geopolitical crises [UAL.US](1), government settlements [BNO.US](5), or legal action against companies [TCOM.US](6).
Through this combination of high-quality sources, technological analysis, and rigorous verification, we create an information environment for you that is based on facts, not rumors. This allows you to make decisions based on solid data.
@Metamorfozzz_ @srsh_os @beneath0072 @Zlatanair @RBoccius
#AI #FINANCE #CRYPTO #Future #Trading
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LIFE Habit Challenge, Season 1 — Day 3/7 (🥗Fuel)
♥️Day 3
😍Today I’m eating protein pancakes
Benefits:
✔️They help control weight, are sugar-free, and contain less fat
@LifeNetwork_AI @FomoKelvin
#LIFEHabitChallenge
“Day 3/7”
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@SmashersNFT Exciting news! Can't wait to see what you all have been building. Count me in! 🚀 #SmashersCommunity
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