Summary:<\/strong> This post went viral in early 2025, providing a harrowing technical breakdown of the water and electricity usage of the latest reasoning models. It moved the needle from “AI is cool” to “AI is a utility crisis,” forcing major tech firms to report on “Compute Sustainability.” AI-Generated Probability:<\/strong> 15%<\/strong>. Why:<\/strong> The writing was deeply investigative, containing boots-on-the-ground reporting from data center sites in Arizona. The emotional weight and nuanced ethical arguments are hallmarks of high-level human journalism.<\/p>\n\n\n\n Summary:<\/strong> A masterclass in “Vibe Coding” commentary. Willison explored the dangers of non-technical users generating complex, unverified logic in critical business spreadsheets. It sparked a global debate on “Shadow AI” in corporate finance. AI-Generated Probability:<\/strong> 5%<\/strong>. Why:<\/strong> Willison\u2019s style is famously “human-first.” His posts often include personal anecdotes, specific screenshots of his own errors, and a stream-of-consciousness logic that current LLMs struggle to replicate authentically.<\/p>\n\n\n\n Summary:<\/strong> Following the massive Salt Typhoon breach, this post provided the first clear technical explanation of how nation-state actors maintained persistence in core routing infrastructure for over a year. AI-Generated Probability:<\/strong> 10%<\/strong>. Why:<\/strong> The technical complexity and the need for classified or insider verification suggest this was written by a veteran security researcher (likely a collaborative human effort).<\/p>\n\n\n\n Summary:<\/strong> A surprising viral hit on GovTech. While it sounds like sci-fi, the post analyzed the sudden surge in state legislation (13 states) pre-emptively banning workplace microchipping as AI-driven biometrics became more intrusive. AI-Generated Probability:<\/strong> 35%<\/strong>. Why:<\/strong> The structure is very “report-heavy.” While the research is factual, the clean, bulleted summaries of state laws follow a pattern common in AI-assisted legal synthesis.<\/p>\n\n\n\n Summary:<\/strong> Published by BI, this post used 2025 workplace data to prove that “cutthroat” engineering cultures were failing in the age of AI. It argued that because AI handles the “hard skills,” human “soft skills” like kindness are the only remaining competitive advantage. AI-Generated Probability:<\/strong> 50%<\/strong>. Why:<\/strong> The tone is highly optimistic and follows a classic “thought leadership” template. While the data is real, the synthesis feels like a high-quality “re-skinning” of existing management theories\u2014a task AI excels at.<\/p>\n\n\n\n Summary:<\/strong> This technical look at HR data science showed how real-time, AI-driven feedback loops rendered the “yearly sit-down” obsolete. It proposed a new “Dynamic Retainment” model that used developer metrics to predict burnout before it happened. AI-Generated Probability:<\/strong> 20%<\/strong>. Why:<\/strong> The post relied on a specific, proprietary case study from a software firm. The level of detail regarding internal company dynamics suggests a human academic author.<\/p>\n\n\n\n Summary:<\/strong> Geerling\u2019s 2025 “State of the Raspberry Pi” post became a manifesto for developers fleeing subscription-based cloud services. It provided a technical blueprint for building an “AI-proof” home lab that keeps data local and private. AI-Generated Probability:<\/strong> 5%<\/strong>. Why:<\/strong> Geerling\u2019s “voice” is distinct, quirky, and deeply tied to his YouTube persona. It contains specific technical “gotchas” that only someone who physically built the hardware would know.<\/p>\n\n\n\n Summary:<\/strong> This post tracked the technical failure of traditional “identify the stopwalk” tests as vision models reached 99.9% accuracy. It introduced the world to “Behavioral Verification”\u2014the idea that your “vibe” and mouse movement speed are now your only proof of humanity. AI-Generated Probability:<\/strong> 40%<\/strong>. Why:<\/strong> The post is an excellent summary of a fast-moving trend. The high frequency of “Roundup” style formatting suggests a human editor using AI to pull together various news threads.<\/p>\n\n\n\n Summary:<\/strong> An exploration of how AI is creating “one-to-one” video ads that change their background, soundtrack, and script in real-time based on the viewer\u2019s Spotify and TikTok history. AI-Generated Probability:<\/strong> 60%<\/strong>. Why:<\/strong> The descriptions of the technology are visionary but slightly repetitive. It feels like a high-end AI “marketing vision” post designed to generate buzz rather than explain deep code.<\/p>\n\n\n\n Summary:<\/strong> A fascinating look at how 2025 was the year “AGI” became a taboo term. The post explains how companies like Microsoft and Google pivoted to “Useful Intelligence” to avoid regulatory crackdowns and public panic. AI-Generated Probability:<\/strong> 25%<\/strong>. Why:<\/strong> The sociopolitical analysis of “corporate speak” requires a level of cynicism and “reading between the lines” that AI typically lacks, suggesting a seasoned tech journalist wrote this.<\/p>\n\n\n\n In 2025, the best blog posts weren’t just about code; they were about context<\/strong>. As AI-generated content flooded the web, the articles that “won” were the ones with a clear, undeniably human perspective\u2014the ones with a “Vibe.”<\/p>\n","protected":false},"excerpt":{"rendered":" 1. “The Carbon Debt of Intelligence: Why 2025 is AI\u2019s Environmental Reckoning” Summary: This post went viral in early 2025, providing a harrowing technical breakdown of the water and electricity usage of the latest reasoning models. It moved the needle from “AI is cool” to “AI is a utility crisis,” forcing major tech firms to […]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[14],"tags":[],"class_list":["post-6023","post","type-post","status-publish","format-standard","hentry","category-general"],"jetpack_featured_media_url":"","_links":{"self":[{"href":"http:\/\/iamglover.com\/index.php?rest_route=\/wp\/v2\/posts\/6023","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/iamglover.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/iamglover.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/iamglover.com\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"http:\/\/iamglover.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=6023"}],"version-history":[{"count":1,"href":"http:\/\/iamglover.com\/index.php?rest_route=\/wp\/v2\/posts\/6023\/revisions"}],"predecessor-version":[{"id":6024,"href":"http:\/\/iamglover.com\/index.php?rest_route=\/wp\/v2\/posts\/6023\/revisions\/6024"}],"wp:attachment":[{"href":"http:\/\/iamglover.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=6023"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/iamglover.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=6023"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/iamglover.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=6023"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}2. “I’m Worried They Put Copilot in Excel” (by Simon Willison)<\/h3>\n\n\n\n
3. “The Salt Typhoon Technical Deep-Dive: How U.S. Telecoms Fell”<\/h3>\n\n\n\n
4. “Should States Ban Mandatory Human Microchip Implants?”<\/h3>\n\n\n\n
5. “Why Kindness Wins in Business: The Data Behind the Culture”<\/h3>\n\n\n\n
6. “The Death of the Annual Performance Review” (HBS Working Knowledge)<\/h3>\n\n\n\n
7. “Self-Hosting in the Age of the Cloud Giants” (by Jeff Geerling)<\/h3>\n\n\n\n
8. “Are You a Real Person? The CAPTCHA Arms Race”<\/h3>\n\n\n\n
9. “Generative Advertising: When Ads Come Alive”<\/h3>\n\n\n\n
10. “The AGI Rebrand: Why the Tech Giants Stopped Saying the Word”<\/h3>\n\n\n\n
\n\n\n\nFinal Thought<\/h3>\n\n\n\n