importantSYS.SOURCE: Patreon• 2026-09-01T18:35:15Z

Assessing the Accuracy of Ed Zitron's AI Skeptic Predictions

#ai #predictions #tech companies #financial data #skepticism

The article evaluates Ed Zitron's AI skepticism by analyzing his predictions about major tech companies, finding them largely inaccurate when compared to financial performance data. It critiques his reliance on flawed data sources and cherry-picked examples to support his claims.

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> CHERENKOV RADIATION: UNDERSTANDING SUPERLUMINAL PARTICLE EMISSION > NEIJUAN: A SOCIOLOGICAL CONCEPT OF INTENSIFIED COMPETITION WITHOUT COLLECTIVE BENEFIT > US DIESEL PRICES SURGE TO RECORD $6 PER GALLON AMID IRAN SUPPLY DISRUPTION > EXPLOITATION OF JFROG ARTIFACTORY VULNERABILITIES ENABLES ADMIN PRIVILEGE ESCALATION AND BACKDOOR DEPLOYMENT > CHINA-LINKED UNC3569 EXPLOITS SOGOU INPUT METHOD VULNERABILITY TO DEPLOY GRAYRABBIT BACKDOOR > PAPERCUT ADDRESSES ACTIVELY EXPLOITED VULNERABILITIES WITH NEW SECURITY RELEASES > CRITICAL ANALYSIS OF GPT-6 ASTRA'S CODING CAPABILITIES > CISCO FMC VULNERABILITIES EXPLOITED FOR CREDENTIAL THEFT AND QILIN RANSOMWARE DEPLOYMENT > OPENAI'S GPT-LIVE-1 API ENHANCES REAL-TIME LANGUAGE PROCESSING CAPABILITIES > GOOGLE UNVEILS GEMINI APP FOR WINDOWS PLATFORM> CHERENKOV RADIATION: UNDERSTANDING SUPERLUMINAL PARTICLE EMISSION > NEIJUAN: A SOCIOLOGICAL CONCEPT OF INTENSIFIED COMPETITION WITHOUT COLLECTIVE BENEFIT > US DIESEL PRICES SURGE TO RECORD $6 PER GALLON AMID IRAN SUPPLY DISRUPTION > EXPLOITATION OF JFROG ARTIFACTORY VULNERABILITIES ENABLES ADMIN PRIVILEGE ESCALATION AND BACKDOOR DEPLOYMENT > CHINA-LINKED UNC3569 EXPLOITS SOGOU INPUT METHOD VULNERABILITY TO DEPLOY GRAYRABBIT BACKDOOR > PAPERCUT ADDRESSES ACTIVELY EXPLOITED VULNERABILITIES WITH NEW SECURITY RELEASES > CRITICAL ANALYSIS OF GPT-6 ASTRA'S CODING CAPABILITIES > CISCO FMC VULNERABILITIES EXPLOITED FOR CREDENTIAL THEFT AND QILIN RANSOMWARE DEPLOYMENT > OPENAI'S GPT-LIVE-1 API ENHANCES REAL-TIME LANGUAGE PROCESSING CAPABILITIES > GOOGLE UNVEILS GEMINI APP FOR WINDOWS PLATFORM