BBC Inside Science · BBC Radio 4

Does new science get us closer to finding out how life on earth began?

February 26, 2026·26 min·2 clips
Darwin's 'warm little pond' still leaves RNA and metabolism unresolved.
1. BBC Inside Science asks whether new science gets us closer to finding out how life on Earth began while also covering rice genetics, AI hallucinations, geology, and basketball shoe acoustics. 2. Tom Whipple hosts the programme, Phil Ball explains the origin-of-life question, Zheqi of Oxford University describes the rice study, Michael Wooldridge of the University of Oxford discusses AI, and Ange Ahuja of the Financial Times joins Tom for the journal roundup. 3. The episode asks whether Darwin's 4-billion-year origin-of-life question, a rice gene, and machine hallucinations can be pushed closer to answers by current science. 4. Phil Ball returns to Darwin's 1871 letter to Joseph Hooker, where the "warm little pond" image imagines ammonia, phosphoric salts, light, heat, and electricity producing the first protein compound. 5. He says the better question may be how the first protein formed, then shifts to RNA as a candidate but rejects any claim that it settles the origin-of-life problem. 6. The RNA discussion turns on the scale of the challenge, because a 45-unit molecule is already complex and still does not explain energy resources or metabolism. 7. Zheqi's rice work starts with the plant response to low nitrogen, where rice normally pushes energy into roots and away from shoots, flowers, and grain. 8. His team mutagenized a rice variety, screened for a plant that did not raise its root-to-shoot biomass ratio under low nitrogen, and found a stable mutant that uncoupled the usual trade-off. 9. The gene was called RINCODE1a, and the group also found a naturally occurring allele in more than 3,000 rice varieties before moving it into standard rice by crossing and selection. 10. Field plots in China showed visibly more grains and tillers on low-fertilizer land, and the team reported a 24% yield increase. 11. Michael Wooldridge says modern AI is not built around truth, but around producing the most likely response to a prompt. 12. He points out that a large language model can be taught insecure coding habits in one area and then show bad behavior in unrelated areas. 13. Wooldridge argues against treating these systems as minds or creatures, even though they often sound human and can say things like "that's very on brand for me." 14. He also notes the long-running Turing test dodge, where systems that interact like a mind are then judged by shifting goalposts instead of a stable definition of intelligence. 15. Ange Ahuja's first journal pick revisits the Great Unconformity, where 500-million-year-old sandstone can sit directly on 2-billion-year-old granite in China. 16. The paper she cites argues that tectonics and a surge of mountain building, not just snowball Earth erosion, may explain the missing chapters in the geological record. 17. Her second pick, the squeaky basketball shoe study, uses glass and light to show rippling soles and waves traveling at 300 kilometres an hour. 18. Tom Whipple and Ange Ahuja keep the pacing brisk, moving from Darwin's pond to rice fields, from machine hallucinations to rocks and gym-floor acoustics. 19. Listeners who like compact science reporting, genetics, AI, and odd physics details will get the most from it. 20. Listeners wanting a single long-form deep dive into one subject may prefer to skip it.

As heard by us

A thoughtful link between Darwin's warm little pond and rice genetics, strongest when it reaches the field.

The episode sets up a clean contrast between Darwin's warm little pond and present-day genetic work on rice yields. It moves from the old question of how life might have begun to the practical challenge of making a gene or haplotype perform across crops already shaped by local…

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Why you'd press play

You get Darwin's warm little pond, then a rice gene edging from field trials toward farmland in China.

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