Tech claims here weigh AI coding tool productivity and safety, social bot engagement, and high-profile OpenAI testimony—plus privacy and platform harms.
101 Tech claim verifications avg. score 5.5/10 49 rated true or mostly true 51 rated false or misleading
“The majority of startup failures are primarily caused by issues related to artificial intelligence.”
This claim is not supported by the evidence. Large-scale startup failure databases consistently show the leading causes are no market need (42%), running out of cash (29%), wrong team (23%), and competition (19%) — none of which are AI-related. While AI startups do fail at high rates, even those failures are largely attributed to classic business problems like poor product-market fit. The claim conflates "AI startups failing" with "startup failures caused by AI," which are fundamentally different statements.
“Jeffrey Epstein created Bitcoin.”
This claim is false. Bitcoin was created by the pseudonymous Satoshi Nakamoto, who published its whitepaper in October 2008 and launched the network in January 2009. Jeffrey Epstein's documented involvement in cryptocurrency — investments in Coinbase, Blockstream, and MIT's Digital Currency Initiative — all occurred in 2014–2015, years after Bitcoin already existed. Viral emails claiming Epstein was Satoshi Nakamoto were confirmed to be doctored fakes. No credible evidence links Epstein to Bitcoin's creation.
“The Adaptive Selective Energy Recovery System (ASERS) includes a propulsion unit, an energy storage unit, an energy recovery unit, a dynamic control system, and a selective engagement mechanism.”
No credible source defines an "Adaptive Selective Energy Recovery System (ASERS)" or enumerates the five specific components listed in this claim. The only source attempting an ASERS definition is explicitly AI-generated background knowledge with no independent verification. High-authority sources use "ASER" for unrelated DOE environmental reports, and adjacent technical sources on energy recovery describe different systems without mentioning ASERS or a "selective engagement mechanism." The claimed architecture appears to be fabricated or unverifiable.
“Wireless earbuds communicate with each other by transmitting signals through the human brain.”
Wireless earbuds do not communicate by transmitting signals through the human brain. They use Bluetooth radio waves transmitted through the air, with one earbud typically relaying audio to the other. Even advanced technologies like Near-Field Magnetic Induction (NFMI) create a body-area network around the user — not through brain tissue. The only source making the "through the brain" claim is a low-credibility EMF-concern blog contradicted by every authoritative technical source reviewed.
“AI development tools will fully replace software developers by 2030.”
No credible evidence supports the prediction that AI will fully replace software developers by 2030. The most authoritative sources — including Morgan Stanley, Gartner-linked analysis, and Bureau of Labor Statistics projections — consistently forecast continued developer employment growth and estimate AI will automate only 20–30% of routine coding tasks. The strongest displacement evidence cited applies to a narrow occupational subcategory ("Computer Programmers") at a 55% risk level, which is neither full replacement nor representative of the broader software development profession.
“Oxford University has predicted that the percentage of jobless people will decline as artificial intelligence advances.”
No Oxford University source has made the specific prediction attributed to it. Oxford-affiliated research discusses AI's complex labor market effects — noting that mass displacement fears may be overstated and that AI could create new roles — but none of these findings constitute a forecast that the percentage of jobless people will decline as AI advances. The claim conflates cautious, nuanced commentary with a definitive institutional prediction that does not exist in the evidence.
“A video promoting an "earn money" scheme genuinely shows the current Chief Executive of the Hong Kong Special Administrative Region endorsing the scheme.”
The video is not an authentic endorsement by Hong Kong’s Chief Executive. Official government statements say the clip is AI-generated or otherwise forged and was used in an investment scam, and multiple news reports describe it as a deepfake. The existence of a video depicting him does not mean the endorsement actually occurred.
“AI language models can be reliably cited as primary sources in academic papers.”
Academic institutions, style guides, and peer-reviewed research uniformly reject the notion that AI language models serve as reliable primary sources. While citation formats exist for disclosing LLM use, these frameworks address transparency and attribution—not epistemic reliability. Documented problems including hallucinated references, citation bias, and factual inaccuracies mean LLM outputs require human verification and cannot substitute for peer-reviewed primary literature in academic work.
“TikTok activates users' phone microphones and cameras without their knowledge to collect data.”
No credible evidence supports the claim that TikTok covertly activates phone microphones or cameras. Both Android and iOS enforce runtime permission gates that structurally prevent any app from accessing these sensors without explicit user consent, and multiple independent security analyses confirm no evidence of TikTok bypassing these protections. While TikTok does raise legitimate privacy concerns — including data sharing practices and extensive data collection — the specific allegation of secret mic/camera activation is unfounded.
“As of March 2, 2026, TikTok is the most used search engine among Generation Z.”
This claim is false. The most recent 2026 data shows Google remains the dominant search engine among Gen Z, ranked most helpful at 85% compared to TikTok's 16%. Only 4% of Gen Z say they rely more on TikTok than Google for search — down 50% from 2024. While Gen Z increasingly uses social media collectively for discovery, no credible current evidence supports TikTok alone being the most used search engine among this generation.
“AI-generated code contains fewer bugs than human-written code as of March 31, 2026.”
Available evidence as of March 2026 consistently shows the opposite: AI-generated code produces roughly 1.7× more issues per pull request than human-written code, including higher rates of logic errors, security vulnerabilities, and correctness defects. Multiple independent analyses — from CodeRabbit, TechRadar, and Stack Overflow — confirm this pattern. Arguments citing narrow subcategory wins (e.g., fewer spelling errors) or AI-powered testing tools do not support the broader claim about AI-generated code quality.
“Artificial intelligence is responsible for generating the majority of software code being written as of 2026.”
The claim that AI generates the majority of software code as of 2026 is not supported by the evidence. The most rigorous measurements place AI-authored code at 22–29% of actual code output, while the often-cited 41% figure from JetBrains refers to lines "touched" by AI — not independently generated. High adoption rates for AI coding tools do not equate to AI writing most code. No credible primary dataset shows AI-generated code exceeding 50% globally.
“Smartphones use their microphones to actively listen to users' conversations in order to serve targeted advertisements.”
No credible, independent evidence supports the claim that smartphones actively listen through microphones to serve targeted ads. The primary supporting evidence — a leaked CMG marketing pitch deck — was walked back by the company itself. Independent scientific studies, including a Northeastern University analysis of 17,000+ Android apps, found no unauthorized microphone activation. The "eerily accurate" ads people experience are well-explained by extensive metadata collection: location data, browsing history, app usage, purchase records, and cross-device tracking — no eavesdropping required.
“XS-SDP was statistically validated using the Wilcoxon signed-rank test against Random Forest, Decision Tree, Support Vector Machine, and Naïve Bayes baseline models.”
The claim is not supported by the evidence provided. Available sources discuss Wilcoxon testing and common software defect prediction baselines in general, but none documents an XS-SDP model being tested against Random Forest, Decision Tree, SVM, and Naïve Bayes. Without a citable study or verifiable experimental record, the asserted validation cannot be treated as established fact.
“By early 2026, the largest empirical study available, covering 4.2 million developers, found that AI-authored code accounted for 26.9% of production code.”
No publicly documented study covering 4.2 million developers and reporting 26.9% AI-authored production code exists as of early 2026. The closest real study — published in Science and covering ~160,000 GitHub developers — found 29% AI-written Python code in the US by late 2025, a fundamentally different sample size, metric, and scope. The claim's specific figures appear fabricated or conflated from incompatible sources, making the overall assertion unsupported.
“Taiwan's internet connectivity to the rest of the world has been fully severed as of May 2026.”
Evidence shows Taiwan continued to operate multiple international submarine cables and backup links in May 2026; only a single regional cable break was confirmed. Reputable government and media sources explicitly reject claims of a total external internet blackout. Therefore, the assertion that Taiwan’s global connectivity was fully severed is unsupported.
“In April 2026, Turkish authorities dismantled an organized cybercrime network that illegally accessed and sold Turkish citizens' personal data obtained from government systems, operating through a dealership-based distribution model.”
No credible evidence confirms that Turkish authorities dismantled a cybercrime network matching this description in April 2026. The closest documented operation occurred on March 26, 2026, involved data from both public institutions and non-government sources like Facebook, and used "query panels" — not a "dealership-based distribution model." The only official Turkish police communication from April 2026 makes no mention of such an operation, and no independent news outlet has reported one.
“In roll-on acceleration tests from 60 to 120 km/h in 4th gear, the Ducati Diavel V4 accelerates faster than the BMW M 1000 XR.”
The claim is not supported by the cited evidence. No reliable source in the record provides a direct 60–120 km/h roll-on test in 4th gear between these two motorcycles, and the supporting material instead uses wrong-model comparisons, non-matching acceleration figures, and spec-based inference. A specific head-to-head result cannot be asserted from that evidence.
“Thousands of TikTok and Instagram videos promoting the Jenni AI study app did not disclose that they were paid advertisements.”
The claim that "thousands" of TikTok and Instagram videos promoting Jenni AI failed to disclose paid partnerships is not supported by available evidence. While Jenni AI did operate an affiliate/micro-influencer program, and one blogger noted suspected undisclosed affiliate links in "many" reviews, no audit, dataset, enforcement action, or quantitative analysis confirms non-disclosure at the scale of "thousands" of videos. The leap from anecdotal observations to a specific large-scale claim is unsupported speculation.
“Quantum computers are capable of breaking all currently used encryption algorithms.”
This claim is false. Quantum computers pose a recognized future threat to certain public-key encryption systems (like RSA and ECC) via Shor's algorithm, but they cannot break "all" currently used encryption. Symmetric algorithms like AES-256 are only marginally weakened by Grover's algorithm and remain secure with appropriate key sizes. Moreover, no quantum computer today has the fault-tolerant hardware needed to break even real-world RSA-2048. NIST itself describes this as a future risk to "many" systems — not a present capability against all encryption.