Companies are going to have fewer people and fewer layers. Ten years from now, the software development circuit may have fewer jobs, higher salaries, and more product-centric work. The reason behind it is the rapid development of AI, AI has approached human beings at the intelligence level, a lot of work relying on thinking ability may be handed over to AI, while emotion is still the territory of human beings, how to communicate and collaborate is the most important ability in the near future. When Indeed's chart for software development and operations jobs was released, we found that, as the chart shows, there was a peak in early 2022, but after that there was a precipitous decline.

The world's first portable electrocardiograph was an 85-pound backpack, and now a 10-gram patch attached to your chest can transmit electrocardiograms uninterrupted for two weeks. The Apple Watch, which is worn by an estimated 100 million people, can send a text message to alert people when their heartbeat is irregular. Wearable sensors on the arms, wrists and fingers can now report arrhythmias, blood sugar levels, blood oxygen and other health indicators. Medical journals have also proposed a more ambitious vision - wearable devices can monitor patients with chronic diseases, eliminating the need for frequent hospital visits. They can spot potential health problems before a stroke or diabetes develops. The forces of health technology and wearables are converging. Tech giants like Apple (AAPL) and Alphabet's (GOOGL) Google are adding health features to their products. Medical technologists like electrocardiogram patch maker iRhythm Technologies or blood sugar monitor makers DexCom (DXCM) and Abbott Laboratories (ABT) are taking their devices beyond the clinic. "In the sensor world, people started on the consumer side and wanted to get into health care," said Kevin Sayer, chief executive of Decon Medical. "In health care, we're trying to be more consumer oriented, and I think all of those things are sort of colliding." Early bets favored the tech giants, with every health-related announcement from Apple, Google or Samsung Electronics hitting medical tech stocks. But changing doctors' practices will also require sustained investment in clinical trials. Big tech companies have cut back on investments in health care. Now it seems that medical technologists will be at the vanguard of the digital health revolution - with smartwatches and smart rings bringing them more customers who need to be diagnosed. Blake Goodner, co-founder of Bridger Management, a hedge fund focused on health care, said: "A group of medtech companies focused on digital health are maturing and reaching a scale where they can not only be profitable but also make investments to compete with larger tech companies." Tech giants aren't getting out of the health business. Apple's smartwatch has an electronic heart rate sensor that generates a single-point electrocardiogram, a wrist temperature sensor, and an accelerometer that can detect violent falls. Hundreds of millions of people are wearing smartwatches with health features from Apple or its rivals Samsung and Garmin.

On July 5, Microsoft co-founder Bill Gates appeared on the Next Big Idea podcast to discuss his vision for Superhuman artificial intelligence and technological progress. At the same time, it said that the enthusiasm of the AI market is far more than the Internet bubble. Gates believes that the current threshold for entry in the AI field is very low, and the entire market is in a fever period, AI startups can easily get hundreds of millions of dollars in financing, and even have raised $6 billion (about 43.734 billion yuan) in cash for a company. "Never before has so much capital poured into a new area, and the entire AI market has fallen into a 'frenzy' in terms of market capitalization and valuation, which dwarfs the frenzy of the Internet and automotive periods in history." Gates said. At this stage, the rapid development of the artificial intelligence industry is a veritable gold industry, and Nvidia's market value is therefore soaring, and the total market value reached 3.34 trillion US dollars on June 18 local time, surpassing Microsoft and Apple in one fell fell, becoming the world's most valuable listed enterprise. But in fact, doubts about the field of artificial intelligence have also risen one after another and have never stopped.

Incredible space photos like those from NASA don't look as stunning straight out of the telescope. They need significant processing, and a crucial part of that is sharpening. Coming to you from Unmesh Dinda with PiXimperfect, this fascinating video explores the APF-R plugin, developed by award-winning astrophotographer Christoph Kaltseis. APF-R stands for Absolute Point of Focus, and it's designed to enhance photo details without creating halos or artifacts. This technology has been used by space agencies with telescopes like the James Webb, and now, you can use it in Photoshop. The plugin allows for non-destructive editing, meaning you can adjust the radius and detail level without permanently altering your image. This feature is crucial for astrophotography, where preserving original details is vital. The video shows how APF-R compares to Photoshop's built-in sharpening tools. The plugin offers multiple rendering methods, each suited for different types of images. For instance, the "Center Weighted" method provides a balanced sharpening effect without making the image look overprocessed. Dinda explains how to fine-tune these settings to achieve the best results, making it clear why this plugin is a game-changer for photographers looking to enhance their images with precision. One notable feature of APF-R is its ability to work with different image types. The video demonstrates how the plugin enhances not just space photos but also landscapes and portraits. For portraits, APF-R can bring out skin textures and eye details without creating the unwanted halos that traditional sharpening methods often produce. Dinda also shows how to combine APF-R with other Photoshop tools, like Smart Sharpen, for even better results. This versatility makes APF-R a valuable addition to any photographer's toolkit. The plugin's cost is $50, which Dinda considers a bargain given its advanced capabilities. There's also a Creative Bundle subscription that includes APF-R and 20 other tools, offering great value for those looking to expand their editing options. Dinda provides discount codes in the video description, making this sophisticated tool more accessible. Check out the video above for the full rundown from Dinda.

Chat means chat, and GPT is the acronym for Gene Rate Pre trained Transformer. Genrative means generation, and its function is to create or produce something new; Pre trained refers to a model of artificial intelligence that is learned from a large amount of textual materials, while Transformer refers to a model of artificial intelligence. Don't worry about T, just focus on the words G and P. We mainly use its Generative function to generate various types of content; But we need to know why it can produce various types of content, and the reason lies in P. Only by learning a large amount of content can we proceed with reproduction. And this kind of learning actually has limitations, which is very natural. For example, if you have learned a lot of knowledge since childhood, can you guarantee that your answer to a question is completely correct? Almost impossible, firstly due to the limitations of knowledge, ChatGPT is no exception, as it is impossible to master all knowledge; The second is the accuracy of knowledge, how to ensure that all knowledge is accurate and error free; The third aspect is the complexity of knowledge, where the same concept is manifested differently in different contexts, making it difficult for even humans to grasp it perfectly, let alone AI. So when we use ChatGPT, we also need to monitor the accuracy of the output content of ChatGPT. It is likely not a problem, but if you want to use it on critical issues, you will need to manually review it again. And now ChatGPT has actually been upgraded twice, one is GPT4 with more accurate answering ability, and the other is the recent GPT Turbo. The current ChatGPT is a large model called multimodality, which differs from the first generation in that it can not only receive and output text, but also other types of input, such as images, documents, videos, etc. The output is also more diverse. In addition to text, it can also output images or files, and so on.