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A ChatGPT query uses about ten times as much electricity as a Google search.
The ten-to-one comparison rests on a 2023 estimate of about 3 Wh per ChatGPT request. A 2025 analysis puts a typical GPT-4o request near 0.3 Wh, OpenAI's chief executive gives 0.34 Wh, and Google measures 0.24 Wh for a median Gemini text prompt. Those figures are close to the long-quoted number for a search. Estimates depend on model, response length and what is counted.
2 support · 3 dispute
Updated 6 Oct 2026
Works generated entirely by AI cannot be copyrighted in the United States.
The US Copyright Office, a federal district court and the DC Circuit have each held that copyright requires a human author, and registration was refused for a work presented as generated autonomously by a machine. A human's selection, arrangement or modification of AI material can still be protected, as in a 2023 decision on a comic with AI-generated images. UK law treats computer-generated works differently.
3 support · 2 context
Updated 6 Oct 2026
AlphaFold has solved the protein-folding problem.
AlphaFold predicts many protein structures accurately, but its predictions still need experimental checking, and for proteins that can adopt two folds it usually predicts only one. The Nobel citation credits structure prediction, and the successor model is still extending to complexes. Predicting a structure is not the same as explaining how proteins fold, move and interact.
2 context
Updated 6 Oct 2026
AI-supported mammography screening detects more breast cancers than standard double reading by radiologists.
A Swedish randomised trial, a large German implementation study and a separate Swedish prospective study each found more cancers detected when radiologists read with AI support than under standard double reading. Follow-up of the Swedish trial found higher sensitivity with a non-inferior interval-cancer rate. Higher detection is not evidence of lower mortality.
2 support
Updated 6 Oct 2026
AI chatbots can diagnose medical cases as accurately as doctors.
GPT-4 scored strongly against physicians on written diagnostic cases, and Google's AMIE matched or exceeded clinicians in simulated consultations. A pooled analysis of 83 studies found no significant difference from non-specialist physicians, though AI performed below experts. The evidence comes from test cases and simulated patients, not routine care of real patients.
2 support
Updated 6 Oct 2026
AI text detectors can reliably tell AI-written text from human writing.
Tests of detection tools found poor reliability, frequent mislabelling of writing by non-native English speakers, and easy evasion through paraphrasing. OpenAI withdrew its own classifier for low accuracy. A claim of reliability needs a named detector, version, population and error rate.
2 dispute
Updated 6 Oct 2026
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Start with a specific claim, attach the published sources behind it, and explain what each one establishes. Then it is open for others to test.