#gen-13

#gen-13

Ben discovered that his father had been misleading the family about the urgency of his cancer treatment. The oncologist's notes indicated a clear warning about the dangers of postponing treatment, stating that the natural history of Joe's disease is death and debilitation.

The UK Biobank has become an important resource for researchers who, since 2012, have been able to request access to anonymised data in order to examine the causes, prevalence and treatment of myriad diseases.

OpenAI acquired the personal finance startup Hiro, aiming to create a product with more hooks than just a chatbot, potentially offering something worth paying for.

"That requires a bunch of people to go take things that folks here are figuring out and [explain them] to the rest of the world," said Jeffrey Ladish, emphasizing the need for effective communication about AI risks.

The goal is to create thousands of sperm from a standard tissue biopsy. The company has had a high success rate in generating sperm from dozens of tissue samples.

The issue is not that the column takes AI seriously; higher education should take AI seriously. The issue is that it mistakes machine-generated prescription for human judgment and acceleration for destiny.

Meta's new Model Capability Initiative will track the mouse movements, clicks, and keystrokes of its US employees to generate high-quality training data for future AI agents. This software will operate on specific work-related apps and websites, and will also utilize periodic screenshots to provide context for the AI training.

GPT-Rosalind is designed to support evidence synthesis, hypothesis generation, experimental planning, and multi-step scientific workflows across biochemistry, genomics, and protein engineering.

Biology is undergoing a transformation. After centuries of studying life as it evolves naturally, researchers are now using a combination of computation and genome engineering to intervene, generating new proteins and even whole bacteria from scratch. The use of artificial-intelligence tools to design biological components, an approach known as generative biology, is set to turbocharge this area of research. Just last year, scientists used AI-assisted design to produce artificial genes that can be expressed in mammalian cells.

Martschenko's argument is largely that genetic research and data have almost always been used thus far as a justification to further entrench extant social inequalities. But we know the solutions to many of the injustices in our world-trying to lift people out of poverty, for example-and we certainly don't need more genetic research to implement them. Trejo's point is largely that more information is generally better than less.