The article is open that this is an association, and the placebo checks (a different cut-off date, unrelated outcomes) are well explained. But sugar intake was never measured, only inferred from birth date, and the headline’s “for life” overstates a modest link in older, mostly White UK Biobank volunteers.

The article accurately reports an observational study and quotes the authors’ caution that causation is unproven. However, the headline and framing (“linked to higher risk”) are clickbait-ish, and the repeated promotional links (“one type of sleep”, “one question”) distract. Reverse causation, where early dementia changes cause napping, is the likelier explanation.

A cautious, well-sourced news report on a single case. It accurately stresses that the patient was severely immunocompromised, that causation and transmission route are unconfirmed, and that investigations continue. However, reassurance of “no health risk” rests on very limited knowledge of this virus in humans.

Sounds like a product-launch report on an unvalidated tool. The article does disclose, at the very end, that no wet-lab experiments have tested Carbon-X’s accuracy. But claims about aiding drug design and helping patients interpret their genomes rest on company statements, with no independent expert or performance data.

Missing link to the original study/model.

A clear, accurate account of an impressive technical advance: watching a virus-like particle assemble molecule by molecule. But it is a press release, and it generalises from one engineered 60-protein particle to “viral assembly”. Antiviral and vaccine benefits are speculative, and no drugs or real viruses were tested. Original study link attached.

A clear, well-sourced report of a sound fMRI study. It correctly contrasts a stable language network with weaker, less synchronised executive-control activity in older adults, supported by direct quotes from the researchers. Experimental tasks are explained simply, and the large-language-model analogy aids understanding. Cross-sectional design is the main caveat.

The article correctly cites the original study and openly notes its qualitative design, with no statistics. But that study is dubious: 81 couples’ interviews can generate hypotheses, not show these six qualities sustain relationships. Prescriptive language (“should”, “fatal flaw”, “missing”) overreaches, and the fictional couple adds anecdote, not evidence.

The study described in the article is sound (randomised, pre/post attitudes, 600 debates), and outside experts add useful context. But the article blurs findings: AI matched humans overall and only outperformed them with personal data, mainly on low-stakes topics. Debates were short, online and artificial, so real-world election manipulation is speculative. The 64% statistic lacks context, and the paragraph on analytical style and guessing is muddled.

The article is appropriately cautious: it notes Jonathan is a single animal, compared with only four tortoises, and that the variants haven’t been shown to extend life. Still, “secret” overstates a correlation, and Jonathan’s age is estimated, not documented. Methylation entropy is explained reasonably well.

"AI found something surprising" not very accuracte title, there's a link to the original paper and press release materials. No numerical evidence provided, so hard to assess the effect size.