Corrections
When we get something substantively wrong, we fix it and log the fix here; small copyedits live in each article's revision history instead. Found an error? Use the "Report issue" button on the article (no account needed). So far we have received 2 reports and reviewed 1, taking a median of 4.8 days. 1 is waiting, the oldest since September 26, 2026. That is our record rather than a promise. See the verifiability policy for how checking works.
321 articles were corrected in the last 30 days. Every correction note and resolved report is listed below, newest first. A fix applied to several articles with the same note is shown once, listing each article; "See the change" opens that version in the article's revision history.
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Consolidate the duplicate Groq LPU article into the independently verified Groq Hardware article.
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Remove the reciprocal Groq LPU link before consolidating that duplicate article into Groq Hardware
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Fixed Logic Theorist attribution, SCS and HCII chronology, SCS department structure, Robotics Institute funding, Navlab autonomy scope, dated institutional figures, and invalid internal links
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Fix Custom GPT access, privacy, and adoption claims
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Fixed THAID date and NP-completeness scope; qualified missing-data, categorical, interpretability, probability, importance, complexity, and ensemble claims
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Rebuilt AI Alignment around 25 authoritative sources; removed unsupported risk claims; fixed EU source fit and reference rendering.
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Reframed Social Media as a broad socio-technical system; replaced unsupported claims with 34 explicit sources; corrected a 2026 Nature citation and reference rendering.
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Replaced false overfitting, out-of-bag, importance, default, and benchmark claims; added 26 explicit academic and first-party sources
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Fixed Walker specifications, financing classifications, FY2025 results, shipment ranking, dated company metrics, and promotional claims; added primary-source URLs and July 2026 deployment updates
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Repaired 28 bibliography emphasis spans that rendered as literal Markdown markers; factual prose, citations, source text, URLs, internal links, and categories are unchanged.
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Added Muse Image privacy and chatbot safety-governance coverage
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Repaired visible reference-title emphasis while leaving prose, claims, citations, links, source text, and categories unchanged.
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Repair Mask R-CNN source link and reference emphasis rendering.
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Repaired 34 bibliography emphasis spans that rendered as literal Markdown markers
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Added state-space and diffusion language-model architecture and objective coverage
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Clarified a security-study term and tightened supporting citations for Transformers, BLOOM, and model supply-chain research.
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Reconstructed OpenAI o1 from primary and independent evidence; corrected full o1 context to 200K; removed unverified architecture, parameter, codename, genealogy, reward, market, and successor claims; separated o1-preview, research o1, API snapshot, and o1-pro results; added exact evaluation protocols, safety-test scope, API lifecycle dates, independent benchmark caveats, and explicit sources.
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Rewrites the article around the original 164-task Python benchmark, corrects pass@k provenance and score interpretation, separates later variants, removes unverified leaderboard claims, and replaces broken footnotes with verified numeric citations.
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Distinguish AgiBot production milestones, shipment estimates, disclosed deployments, bounded research results, artifact-specific licensing, and product security support.
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Reconstructed AWS as Amazon's cloud segment and service platform; corrected the 2025 operating-income share and Amazon/AWS capex boundaries; date-stamped 2026 segment and Region data; bounded the Anthropic investment to primary evidence; removed unsupported market, customer, capacity, project, catalogue, and forecast claims; and added explicit primary, academic, standards, government, regulator, security, architecture, and incident sources.
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Distinguished open-source AI from open-weight and source-available releases; verified OSAID 1.0 components, licensing boundaries, reproducibility, safety, and EU AI Act exceptions; removed unsupported model rankings, download shares, forecasts, cost claims, and vendor comparisons.
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Reconstruct LangChain with cutoff-pinned package versions, exact product boundaries, and sourced coverage of agents, tools, retrieval, memory, licensing, deployment, and security.
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Rebuilt Agentic AI around documented definitional disagreement, classical agent foundations, verified architectures and benchmarks; removed unsupported adoption, market, ROI, current-leaderboard, and NIST-specific claims; added bounded security and governance evidence with canonical links.
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Reconstructed LoRA's definition, mathematics, initialization, scaling, targeting, efficiency boundaries, original evidence, variants, QLoRA, serving, composition, reproducibility, and limitations; corrected the Prefix-Tuning comparison and bounded the NeurIPS 2025 spectral comparison; removed unsupported deployment, popularity, and universal-performance claims.
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Rebuilds Learning Rate around assumption-bounded optimization theory, primary-source evidence, reproducible tuning guidance, correctly rendered schedules, and explicit limits on universal prescriptions.