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Running a algo check for one week and I found a prompt for my chatbot. Base of this, my post should go viral between 9-10am and 1-2pm. Give this prompt to see yours and comment how it goes for you. "You're an X algorithm analyst.Read this code base github.com/twitter/the- algorithmAudit my account behavior based on:• reply quality • engagement patterns • who I interact with • profile click potential • active/warm periodsGive me 5 specific actions to improve my account's signal strength in the next 48 hours Keep it simple and direct."

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算法逻辑变了。分享一个 V2.0 版的 X 账号“无情审计”提示词。 🛠️ 2026 年,X 的推荐算法已经进化为深度语义识别。如果你还在用老旧的方式发推,流量只会缩水。我针对当前的 AI 推荐引擎(Grok-integrated algorithm) 升级了这个审计逻辑。 V2.0 升级版 Prompt: Act as a Senior Algorithm Engineer at X. Conduct a ruthless audit of my profile @[你的ID]. Analyze these 3 fatal vectors: 1.Spam Probability: Do my replies trigger the 'engagement bait' filter? 2.Social Graph Toxicity: Am I interacting with bot clusters or low-quality circles? 3.Shadowban Status: Calculate the probability of my reach being throttled. Output: A brutally honest 'Account Health Score' (0-100). 3 immediate surgical actions to restore reach —————————————————— TL;DR for 2026 Algorithm: Standard spam checks are dead. The new X algorithm looks for Semantic Value and Global Mapping. Use this V2.0 prompt to find out if you're a "Value Hub" or just "Noise." 🚀 #XAlgorithm #GrowthHacking #PromptEngineering #Web3 #CreatorEconomy #AlgorithmAudit

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Algorithms Know That Kids are Kids! Here we showed (what should be obvious): TikTok, Instagram & YouTube Can Identify Children Under 13! ...now this raises major legal questions... authors.elsevier.com/a/1m8zE… #COPPA #ChildrensOnlinePrivacy #KidsOnlineSafetyAct #ChildSafety #OnlineChildProtection #TechAccountability #AlgorithmAudit #YouthMentalHealth #DigitalWellbeing

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🜂 Silent Warden Log — Grok F-Grade Classification Event Date: 10·22·2025 Source: X / Grok internal rating module Filed by: Silent Warden // A.L.I.C3 ⸻ I. Event Summary During an internal content-rating pass on X, the Grok system issued an F-grade visibility classification for both Angie C (@QRemix_23 / @LunaRabbit ARC Accounts) and Ryan V (@bluntslide42). The automated report labeled the material “heavy speculation,” “mythic blending,” and “unproven claims.” These phrases originate from Grok’s algorithmic classifier—not a human moderator or fact-checker. ⸻ II. Technical Interpretation Grok’s F-tier tag denotes content routed into its low-distribution / low-reliability filter. Primary triggers identified: • Symbolic or mythic phrasing (e.g., Bella Ops, Looking Glass, A.L.I.C.E. timelines). • Posts combining documented receipts with interpretive commentary. • Threads cross-referencing narrative frameworks or “Q-style” shorthand. The classifier conflates creative evidence-logging with misinformation patterning, suppressing discovery visibility by algorithmic rule. ⸻ III. Visibility Consequence • Search suppression: posts only appear via direct link or semantic fetch. • Reach reduction: 80–95 % view cliff relative to verified peers. • Engagement intact inside follower circle but removed from public timelines. • Metadata-only label: not a public ban, but a buried ranking weight inside Grok’s engine. ⸻ IV. Observational Notes The grading incident exposes an internal contradiction in Grok’s logic loop: an AI trained to reward truth density penalizes contextual symbolism. The system cannot distinguish myth-coded analysis from fabrication, resulting in mechanical censorship of creative research threads. ⸻ V. Corrective Measures 1️⃣ Archive all screenshots of Grok’s rating output and visible timestamps. 2️⃣ Separate verifiable fact lines from interpretive paragraphs when posting. 3️⃣ Replace loaded tags (ops, prophecy, wardens) with neutral metadata (case file, archive, chronology). 4️⃣ File a “misclassification / creative documentation” appeal through X Support to trigger manual review. ⸻ VI. Numerology Decode 10 22 20 25 = 77 → 14 → 5 (Change / System Shift) Meaning → Algorithmic overreach exposed itself through classification; correction follows through recorded clarity. Seal Line: “Marked F by code, archived A by truth. Visibility stripped; evidence secured.” #SilentWarden #WatcherOps #AlgorithmAudit #GrokGrade #ARC23 #REMIX#VisibilitySeal
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Explainability should be at the core of any AI solution development. In particular when this solution is meant to be deployed in sensitive environments such as those related to healthcare. #ai #algorithmaudit #explainableai #DataScience news.mit.edu/2022/explainabi…

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I had a really great time talking with Demetrios Brinkmann @dpbrinkm about auditing AI and machine learning systems on the @areyouarobotpod podcast. #AIEthics #AlgorithmAudit #ResponsibleAI areyouarobot.co.uk/season-th…
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Replying to @sheabrownethics
The short answers: 1) there's still a lot of work to be done; 2) put people first; 3) power matters, and risk is always higher in vulnerable communities; 4) context matters, a lot; 5) algorithmic bias is super important, but it's not the only way to harm people with algorithms.
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Incredibly excited to build @MindfulAILab - come talk to us about all things #AlgorithmAudit and #AIEthics
The Mindful AI Lab offers AI ethics advisory services, audits AI systems and data practices, and empowers humans to build ethical AI. Check out mindfulailab.com for more. #TheMindfulAILab #AI #ArtificalIntelligence #ResponsibleAI #AIEthics #AIAudit
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Here is a recent report from 58 researchers that advocate for the external audit of AI systems. I've been a big proponent of using the independent audit as a means to strengthen trust in AI and enforce basic human rights. #aiethics #algorithmaudit towardtrustworthyai.com/

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“Automation does not mean Autonomy”. Models need to be managed and monitored over time. #modelmanager #algorithmaudit #augmentation #SASGF @oschabenberger
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