Thiago Carvalho @cyrilpedia@qoto.org

'Claro que pode ser visto como positivo que tenha acontecido assim. Quando se investiga um crime não devemos torcer pelo prevaricador, ou seja, torcer por que tenha feito tudo bem e não tenha deixado vestígios da sua atuação. Mais vale torcer pelo sucesso da investigação e por algum deslize, por parte de quem prevaricou, que a favoreça. Nesse aspecto, e com as devidas adaptações, este caso foi um sucesso.'

https://www.publico.pt/2023/03/08/opiniao/opiniao/tap-imoral-ilegal-irresponsavel-2041504

'Lovell-Badge, though, mostly worries that genome editing will become the preserve of the wealthy, given that current therapies are estimated to cost upwards of six figures per patient. “The question of equitable access is a huge one,” Lovell-Badge tells me. “How do we get costs down? It’s a challenge for scientists, for economists and for everyone.”

https://www.ft.com/content/8b65ddfb-b4a3-444c-93ca-73dfb881399e

Illustration by Madalena Parreira for an interview I did with @matthewcobb a few years ago (a really interesting conversation about how he began writing non-technical books, "Then I suddenly came up with this idea of rather than write the biography, why not concentrate on this huge row that broke out in 1672 over who was the first to discover that women have eggs?")

https://flexnersuitcase.wordpress.com/2015/08/17/the-first-five-pages-a-conversation-with-matthew-cobb/

"This series of prints was created between 2017 and 2021 and consists of several aquatints of stages, doors, caves or forests, where figures have been inserted through the technique of chine-collé, and colours added through viscosity printing.
The same plate receives different figures or cut-outs (found in old cards, magazines or books) which affect the perception of the space through their different graphic qualities and scale."

#Prints #Print #Printmaking #handmade #ArtMastodon #Aquatint

https://madalenaparreira.com/Aquatints

Last year I spoke with Marco Trizzino for @ReviewCommons

Trizzino came from a wet lab background before adopting computational approaches. This was his training tip for students & postdocs who want to learn bioinformatics:

"R is really important. Whichever field you work in, it doesn’t matter if you are a neuroscientist or a cancer biologist. There are a lot of resources to learn R, Coursera courses, workshops, and all the universities now have an R class. I would really recommend to everyone to learn R."

https://www.reviewcommons.org/blog/i-think-review-commons-is-the-future-an-interview-with-review-commons-author-marco-trizzino/

'The Minerva results hint at something that some researchers have long suspected: that training larger LLMs, and feeding them more data, could give them the ability, through pattern-recognition alone, to solve tasks that are supposed to require reasoning. If so, some AI researchers say that this ‘bigger is better’ strategy might provide a path to powerful AI.'

https://www.nature.com/articles/d41586-023-00641-w

If you're confused about death and decay, this #preprint is for you

"Here we provide heuristics as well as simple models that outline when the Williams prediction holds, why there is a ‘null model’ where extrinsic mortality does not change the evolution of senescence at all, and why it is also possible to expect the opposite of William’s prediction, where increased extrinsic mortality favours slower senescence."

https://www.biorxiv.org/content/10.1101/2022.01.27.478060v5