En 30 segundos
Nadler argues that clinicians face a growing information burden; the clip does not substantiate the numerical claims.
- 1Keeping currentNadler describes an information challenge.
- 2EstimatesThe clip provides no source for the figures.
- 3LearningHe emphasizes education after medical school.
Conclusiones
- Medical information can be challenging to track.
- The cited figures are not sourced in the clip.
- Nadler emphasizes continuing education.
Lee el texto editado por capítulos
Information growth
OpenEvidence founder Daniel Nadler argues that the volume of medical information is growing rapidly and that clinicians face a difficult task keeping current.
OpenEvidence founder Daniel Nadler argues that the volume of medical information is growing rapidly and that clinicians face a difficult task keeping current.
He cites specific estimates about knowledge doubling and hours of reading. The short clip does not provide sources or define how those figures were measured.
Continuing education
Nadler predicts continuing medical education will become more important and reports physicians telling him they learned much of their practice after medical school.
Nadler predicts continuing medical education will become more important and reports physicians telling him they learned much of their practice after medical school.
He adds an anecdote about an older physician’s recent learning. These are attributed claims, not independently verified statistics.
Más de este canal
38:06EN
No Priors: AI, Machine Learning, Tech, & Startups· 29 oct 2026Pódcast · 3 vocesServal’s Jake Stauch on coding agents for enterprise ITInvitado: Jake Stauch · Presenta: Sarah Guo, Elad GilStauch explains why Serval is challenging ServiceNow, how it approaches permissions and approvals, and why background agents remain difficult to deploy safely.
1:07ENNo Priors: AI, Machine Learning, Tech, & Startups· 27 oct 2026PódcastGeorge Kurtz on How AI May Change CyberattacksInvitado: George KurtzThe CrowdStrike CEO describes his assessment of evolving threats.
39:23ENNo Priors: AI, Machine Learning, Tech, & Startups· 15 oct 2026Pódcast · 2 vocesThe Defenders' Window: Greg Brockman on AI-Generated Knowledge, Drug Discovery, and the New Physics of CybersecurityPresenta: Sarah Guo, Elad GilOpenAI's president explains why solving open math problems is a proof point for science, how proactive agents change product form, and why security spending must exceed software spending.
1:04ENNo Priors: AI, Machine Learning, Tech, & Startups· 14 oct 2026PódcastWalter Goodwin on the Slow Steps in Chip DesignInvitado: Walter GoodwinA chip founder explains why automation does not remove every computational bottleneck.
1:09:44ENNo Priors: AI, Machine Learning, Tech, & Startups· 9 oct 2026Pódcast · 2 voces10,000 GB300s for Four Weeks: Reflection’s Open-Model LedgerPresenta: Sarah Guo, Elad GilMisha Laskin tells No Priors how Reflection trained Beam, why reinforcement learning outspent pre-training, and why the West needs its own open weights.
0:39ENNo Priors: AI, Machine Learning, Tech, & Startups· 8 oct 2026PódcastMichael Lee on Rethinking Organizations with AIInvitado: Michael LeeA business leader argues that the opportunity goes beyond faster tasks.