From the perspective of the two major markets of the United States and China, the autonomous driving industry has fallen into a low tide in recent years. For example, last year, Cruise Origin, one of the twin stars of Silicon Valley autonomous driving companies and once valued at more than $30 billion, failed completely, its Robotaxi (driverless taxi) operation qualification was revoked, and autonomous driving models have been discontinued. However, as a new track with the deep integration of digital economy and real economy, automatic driving is a must answer: on the one hand, automatic driving will accelerate the process of technology commercialization and industrialization, and become an important part of the game of major powers; On the other hand, autonomous driving will also promote industrial transformation and upgrading by improving the mass travel service experience, seeking new engines for urban development, and injecting new vitality into the urban economy.

On July 8, Ukrainian President Zelensky, who was visiting Poland, and Polish Prime Minister Tusk signed a bilateral security agreement in Warsaw, the capital of Poland. The agreement clearly states that Poland will provide support to Ukraine in air defense, energy security and reconstruction. After signing the agreement, Tusk said that the agreement includes actual bilateral commitments, not "empty promises." Previously, the United States, Britain, France, Germany and other countries as well as the European Union signed similar agreements with Ukraine.

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.

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.

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.