Rahul Siddharthan

@rsidd120.bsky.social

821 Followers 1410 Following

Computational biology at IMSc Chennai. Regulatory genomics, chromatin, evolution, ML and health.

Scott Adam's list of the worst takes on DOGE which allegedly reveal your business inexperience
Photo of my laptop on my lap, with dog and Yercaud retreat in background
I asked ChatGPT: Is Bluesky subject to enshittification? It answered: "Enshittification," a term coined by tech critic Cory Doctorow, describes the process by which platforms start out serving users well, then prioritize other stakeholders (like advertisers or investors), ultimately degrading the user experience to maximize profits. Whether Bluesky is subject to this dynamic depends on its structure, incentives, and governance model. [much detail beyond character limit] Conclusion Bluesky's decentralized architecture gives it some inherent defenses against enshittification, but it’s not immune. Long-term success will depend on whether its governance structures resist the pull of profit maximization at users' expense and maintain alignment with its original values.
To the Editor of Science: I am reluctant to intrude in a discussion concerning matters of which I have no expert knowledge, and I should have expected the very simple point which I wish to make to have been familiar to biologists. However, some remarks of Mr. Udny Yule, to which Mr. R. C. Punnett has called my attention, suggest that it may still be worth making... Suppose that Aa is a pair of Mendelian characters, A being dominant, and that in any given generation the number of pure dominants (AA), heterozygotes (Aa), and pure recessives (aa) are as p:2q:r. Finally, suppose that the numbers are fairly large, so that mating may be regarded as random, that the sexes are evenly distributed among the three varieties, and that all are equally fertile. A little mathematics of the multiplication-table type is enough to show that in the next generation the numbers will be as (p + q)2:2(p + q)(q + r):(q + r)2, or as p1:2q1:r1, say. The interesting question is: in what circumstances will this distribution be the same as that in the generation before? It is easy to see that the condition for this is q2 = pr. And since q12 = p1r1, whatever the values of p, q, and r may be, the distribution will in any case continue unchanged after the second generation