So have you ever seen the WWUTT videos? These ninty second or so videos take a variety of subjects and apply the word of God to them. Mrs. Keachfan likes them because they take deep subjects and explain them clearly. Take a look at the latest one and then go check out their youtube channel.
Speaking of culture wars.
Prager U has come out with a great new video about intersectionality.
Intersectionality is the new buzz word amongst “woke” Christians and SJWs. I didn’t know what it was and I appreciate Prager U’s contribution to my education.
What would your evolutionist friends say if you said that nine out of ten species, including humans, came into existence only 100,000 to 200,000 years ago? Well according to this article from Phys.org a new genetic test proves just that. David Thaler one of the two authors of the study said: “This conclusion is very surprising, and I fought against it as hard as I could.” This means that ninty percent of the current species is basically the same age. But not only that but another unexpected finding from the study—species have very clear genetic boundaries, and there’s nothing much in between.
“If individuals are stars, then species are galaxies,” said Thaler. “They are compact clusters in the vastness of empty sequence space.”
The absence of “in-between” species is something that also perplexed Darwin, he said.
Speaking of Robots.
So do you want to know when you are going to die? According to this article Google’s A.I. can predict your death up to 95% accuracy. As reported by IFL Science, the new ability to use AI to predict death is outlined in a study recently published in npj Digital Medicine. The study involves new Artificial Intelligence (AI) that Google’s Medical Brain team have been working on. It has been trained to predict how likely it is that patients entering a hospital will make it out alive.
Now the obvious issue is what happens when the A. I. predictions are used to determine whether or not the patient should even be treated if there is only 5 percent chance of recovery?
Here is an example of the A. I. In action:
In one instance reported in the study, a patient with late-stage breast cancer was admitted to hospital. Her lungs were filled with fluid, she was seen by several doctors and then underwent a scan. According to the hospital’s assessment, she had a 9.3 percent chance of dying during her stay, based on her vital signs such as respiratory rate, blood pressure, and pulse. Google’s AI also ran its own assessment on the same patient, assessing 175,639 data points on her record, the researchers wrote in their study. These included data points that aren’t normally considered during patient evaluations. The AI was able to access previously out of reach data, such as PDFs of notes made by doctors and nurses that indicated evidence of malignant pleural effusions (fluid build-up around the lungs) and potential risk of pressure ulcers. Looking at this data, the AI put the patient’s risk of death during her stay at 19.9 percent. She died 10 days after admission.
Again what isn’t discussed in this is whether using this data the late-stage breast cancer patient would have been denied treatment.
I think that the ultimate question is should any decision rest in intelligence that isn’t human.
And that is it for Frenetic Friday.