Since we were children we have been told that Jupiter is enormous, colossal, exaggeratedly large. Turns out not so much.

There are things that we learn in childhood that accompany us throughout our lives and one of them is to recite the Solar System at once, which has its disadvantages: for those of us who are already old, mentioning Pluto (which It is no longer a planet) either make mistakes when estimating distances interplanetary. Another classic misconception is the size of Jupiter. Data from the Juno mission published in Nature Astronomy They change the shape and size of the colossus of the Solar System. Jupiter is flatter and smaller than we thought. We knew that Jupiter was the largest planet in the Solar System, a gaseous colossus whose mass exceeded that of the rest of the planets combined, which gave it the power to be almost the conductor of the orchestra (with the permission of the Sun) as long as its gravity had a lot of weight. Its large magnetic shield protects its moons from solar radiation, it has iconic clouds and storms in astronomy and its Great Red Spot It exceeds the Earth in size. But there is something wrong with its shape and size. The Context. The missions Voyager and Pioneerdating back to the 1970s, established figures that today we read in science books: that Jupiter has an equatorial radius of 71,492 kilometers and a polar radius of 66,854 kilometers. With this model, the planet was assimilated as a sphere flattened at the poles (oblate spheroid). These dimensions were calculated with just six indirect measurements with profiles of radio occultation. The discovery. Because what Juno has seen shows that the equatorial radius is approximately 8 kilometers smaller and the polar radius is about 24 kilometers smaller than previous missions said. Qualitatively, Jupiter is flatter. The first thing that comes to mind is: How important are eight kilometers on a planet 140,000 kilometers wide? Well scientifically, it has it. In fact, it’s the difference between whether the laws of physics fit or not. Why is it important. Well, because although the difference is comparatively minor, the fact that it is smaller and has a flatter shape has thermodynamic implications. Thus, it suggests a colder atmosphere enriched with heavy elements that better suit what the Galileo probe measured in 1995. Additionally, having accurate geometry is essential to understanding what’s inside and interpreting the gravity data provided by Juno, so we can accurately map how its mass is distributed inside and how hydrogen behaves under extreme pressures. On the other hand, knowing Jupiter better is getting closer to the recipe of how the Earth was formed and going beyond: facilitating the understanding of thousands of other exoplanets giants that we are discovering in the stars. Radio occultation operation diagram. MPRennie Wikipedia Juno’s look. Both Pioneer and Voyager and Juno use radio occultation, that is, they use the same physical principle. The radio occultation technique consists of measuring how a planet’s atmosphere bends and slows down the radio signals of a probe when it is hidden behind it. By analyzing the delay and deviation of these waves from the Earth, the scientific team can precisely calculate the density and pressure and therefore the exact shape of the planet. Of course, from a technological point of view there has been half a century of evolution and it is noticeable in terms of quality due to its multiband operation, precision and repetition. Thus, the probes of the 70s mainly used one radio band while Juno uses two, which allows, among other things, to eliminate noise. Likewise, the original ones were passing missions in front of the planned June orbit, that is, we have gone from having six points to an almost complete map. And finally, ground-based tracking systems are night and day when it comes to measuring changes in frequency and signal arrival time. In Xataka | We have been deceived by the distances of the Solar System: the closest neighbor to Neptune is Mercury In Xataka | We knew that there was water on Mars, but not how much. It turns out that 3.37 billion years ago an ocean covered half the planet Cover | NASA Hubble Space Telescope

There is a word that has multiplied exaggeratedly in scientific articles for a reason: ChatGPT likes it

That there are academic articles written by AI is something that has been proven beforethe question is how serious it is. To know the magnitude of this practice, a group of researchers has reviewed millions of paper abstracts published in PubMed and have found something interesting: there is a word that the AI ​​loves and the reason why it likes it so much is quite murky. Delve. Its translation is ‘go deeper’ and its use multiplied by 28 between 2022 and 2024, which coincidentally coincides with the boom of ChatGPT and language models. Other words such as ‘underscore’ or ‘showcasing’ are also cited, with a frequency increase of x13.8 and x10.7 respectively. None of them are a noun or a word related to the content, but rather have more to do with the style of writing and are very characteristic of the flowery language that LLMs usually use. flowery language. Does this mean that if we see one of these words in a paper it was written with AI? Not necessarily, but the increase is brutal. Researchers have compared the rise of ‘delve’ to other keywords, such as pandemic, which had a huge peak in 2020 and began to decline in 2021. The increase in the frequency of use of ‘delve’ is much more pronounced than all the others. It’s not coincidental. There is a stage in the process of creating a chatbot like ChatGPT that requires human intervention to fine-tune the responses; This is what is known as reinforcement learning from human feedback (for its acronym in English). RLHF). It turns out that most of the workers who are dedicated to this refining work are in African countries, such as Nigeria. guess where The use of these words in formal English is quite common. Exactly, in Nigeria. African style. ‘Delve’ is a fairly common word in business English in Africa, especially in Nigeria, and it is not the only one. There are also others like ‘leverage’, ‘explore’ or ‘tapestry’ that are more common in African English. According to 311institutealthough human feedback is very small compared to the enormous amounts of training data, it has a great impact since it is what defines the tone of the model when responding to us. Data labeling. It is a key step for training large language models and requires humans to be behind it. The problem is that the majority of workers who dedicate themselves to this are from impoverished countries such as Nigeria, Kenya or India, among others. In case the endless days and the ridiculous salaries were not enough, many times workers must review violent and very explicit imagesall without any type of psychological support. In Xataka | Being a porn moderator is not fun at all. He was exposed to “extreme, violent, graphic and sexually explicit content” Image | National Institute of Allergy and Infectious Diseases in Unsplash

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