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Lurking In the Code: AI's Hidden Supply Chain Sabotage and the Bubble's Ticking Time Bomb
November 26, 2025 | By AIM
I turned to my Search Assistant and asked is there something that we need to know about AI that may not be apparent in reading the daily news? It answered me:
We've charted the AI bubble's explosive arc—from Nvidia's chip mirage crumbling under oversupply to Amazon's fulfillment fortresses morphing into rusting relics. Mid-2026 looms as the detonator: Trillions vaporized, unemployment spiking to 10%, and the Magnificent Seven limping as zombies. But here's the gut-wrenching twist your portfolio charts won't show: The real apocalypse isn't the pop. It's the sabotage already festering in the code, a supply chain of shadows where open-source dreams turn to digital dynamite.
Lurking In the Code: AI's Hidden Supply Chain Sabotage and the Bubble's Ticking Time Bomb
November 26, 2025 | By AIM
I turned to my Search Assistant and asked is there something that we need to know about AI that may not be apparent in reading the daily news? It answered me:
We've charted the AI bubble's explosive arc—from Nvidia's chip mirage crumbling under oversupply to Amazon's fulfillment fortresses morphing into rusting relics. Mid-2026 looms as the detonator: Trillions vaporized, unemployment spiking to 10%, and the Magnificent Seven limping as zombies. But here's the gut-wrenching twist your portfolio charts won't show: The real apocalypse isn't the pop. It's the sabotage already festering in the code, a supply chain of shadows where open-source dreams turn to digital dynamite.
And fueling this nightmare? "AI slop"—that endless torrent of low-rent, generated drivel flooding the web, where models feast on vast data oceans that might enlighten… or just drown us in deceit.
In our prior dispatches (like When Will the Bubble Pop?), we peeled back the hype's veneer. Now, let's probe deeper: What if the tools promising salvation are pre-wired for downfall? Drawing from 2025's fresh warnings—OWASP's LLM risks, Trend Micro's exploit exposés, and the slop deluge choking Nature's models—this post unmasks the hidden hacks. It's not sci-fi; it's the supply chain's underbelly, where rushed AGI quests invite state actors, script kiddies, and recursive garbage to feast.
The Open-Source Trap: Free Code, Fatal Flaws
Open-source AI sounds utopian: Hugging Face's 500K+ models, democratizing intelligence for devs worldwide. But in 2025's frenzy, it’s a hacker's playground. OWASP's LLM03 category nails it: Supply chain risks lurk in every layer—poisoned training data, shady third-party models, outdated components, murky provenance, and vulnerable LoRA adapters. Picture this: A "helpful" sentiment analyzer from an anonymous GitHub repo. You fine-tune it for your startup's customer service bot. Unbeknownst, it's laced with a backdoor—triggered by specific queries, it exfils your user database to a Beijing server farm.
Trend Micro's July 2025 report calls it "exploiting trust": Attackers embed logic bombs during data collection or training, turning models into sleeper agents. No brute-force needed; it's elegant sabotage.
DIRECT LINK: HTTPS://WWW.TRENDMICRO.COM/VINFO/US/SECURITY/NEWS/CYBERCRIME-AND-DIGITAL-THREATS/EXPLOITING-TRUST-IN-OPEN-SOURCE-AI-THE-HIDDEN-SUPPLY-CHAIN-RISK-NO-ONE-IS-WATCHING
FOR BROADER CONTEXT, THEIR STATE OF AI SECURITY REPORT 1H 2025 (JULY 29, 2025) EXPANDS ON AI-CYBER INTERSECTIONS: HTTPS://WWW.TRENDMICRO.COM/VINFO/US/SECURITY/NEWS/THREAT-LANDSCAPE/TREND-MICRO-STATE-OF-AI-SECURITY-REPORT-1H-2025
Cisco echoes the alarm: Exponentially growing AI chains demand license checks and behavioral monitoring, yet 82% of components remain "risky" per OpenSSF's 2025 predictions. State actors? They're in deep—Russia's meddling in open repos, China's scraping for IP theft, as flagged in the Atlantic Council's September data security brief.
The bubble accelerates this rot: $500B+ poured into unvetted experiments by Q4 2025, per JFrog's State of the Software Supply Chain report. Firms desperate for edge grab "free" models, skipping audits. Result? A CACM analysis from May warns: Malicious AI integrations undermine entire chains, from dev tools to defense systems. In the pop's chaos, one poisoned LLM could cascade: A finance bot greenlights fraudulent trades, or a healthcare model misdiagnoses en masse.
THE "JFROG STATE OF THE SOFTWARE SUPPLY CHAIN REPORT 2025" (FULL TITLE: SOFTWARE SUPPLY CHAIN STATE OF THE UNION 2025) WAS PUBLISHED ON APRIL 1, 2025, ANALYZING TRENDS, RISKS, AND $500B+ INVESTMENT INSIGHTS IN AI/SOFTWARE CHAINS.
FOR THE ACCOMPANYING BLOG OVERVIEW: HTTPS://JFROG.COM/BLOG/STATE-OF-SOFTWARE-SUPPLY-CHAIN-SECURITY-2025/
Enter AI Slop: The Pollution Plague Feeding the Beast
Now, the slop—the viscous undercurrent making sabotage stickier. "AI slop" (or "bot slop”) isn't just lazy memes; it's the low-quality sludge generated by models trained on… more slop. As Nature's 2024 study proved (echoed in 2025's "brain rot" warnings), recursive training—feeding outputs back as inputs—causes "model collapse": Outputs homogenize, errors compound, diversity dies. By October 2025, Futurism pegged 50% of the internet as slop: Endless AI-spun articles, social posts, and "news" bloating the web.
Here's the danger: AI thrives on vast data, but when that ocean's 70% fiction or bias (per SSRN's data pollution paper), models regurgitate untruths as gospel. TechBuzz's October piece dubs it "brain rot from social media": Slop contaminates training sets, birthing models that hallucinate confidently—vast info, zero veracity. AI Public Health warns of slop-polluted medical advice: One viral "cure-all" post spirals into deadly misinformation.
Tie to sabotage? Slop's the perfect camouflage. NBC's November report reveals propaganda ops flooding X and TikTok with AI slop—coordinated botnets pumping fake narratives that seep into training data. GreyNoise's July analysis: AI-generated exploits clog security repos, wasting engineers while hiding real threats. In the bubble's rush, firms ingest this slurry for "scale," birthing models that don't just err—they deceive by design. KRI's October view: It's communication Armageddon, eroding trust before the crash.
The Cascade: From Hack To Havoc In a Post-Pop World
Imagine 2026: Bubble bursts, funding evaporates. Desperate survivors—startups, banks—scramble for open-source lifelines, ignoring red flags. A slop-sabotaged model in supply chain logistics? It reroutes shipments to ghost addresses, costing billions (echoing SolarWinds, but AI-amplified). OWASP's 2025 Top 10 flags this convergence: Supply chain + LLM risks = systemic fragility.
The Coalition for Secure AI outlines six controls: Provenance tracking, model signing, red teaming, API monitoring, third-party audits, and runtime safeguards. Vital, but late—Fast Company's November piece laments: No plan for slop’s tide. Palladium's Platonic critique: It's philosophical rot—slop flattens truth, prepping society for deception.
Facing the Flood: Your Move In the Machine Age
The AI bubble's pop will scar, but supply chain sabotage and slop pollution? That's the scar tissue—permanent if ignored. At aim4truth.org, we're mapping this invisible empire: Demand provenance, shun the slop, build resilient. What's your first audit? Share below, and let's starve the beast before it bites.
Next we find Eric Trump selling AI circle jerk inside this video: https://youtu.be/umn5MTaLYaI He exhibits a total unawareness of why people are resisting these power beasts in their communities. If Eric is this clueless in something as basic to understand as this financial Ponzi Scheme looking for a government bail out, he is wholly unqualified to be president which is what some people keep pushing. I will be pushing back hard that Eric is a low-IQ rich snob who only cares about his own financial exposure to the AI Ponzi scheme.
Please go to AIM to continue reading.
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This is not an encouraging sign at all. This will be like electing Palantir (the technocratic cabal) to become the next US president. Nobody trusts them.
The UK's influence in America needs to be eviscerated before this grips US technocrats and they start developing ideas of their own:
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