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On the evening of June 11, XPeng Motor officially released its latest model - XPeng G7. This car is known as the world's first AI car with L3-level computing power. Its biggest highlight lies in the installation of XPeng’s self-developed Turing AI chip, which has a computational capability equivalent to three Orin-X chips, showcasing XPeng's technical advantages in the intelligent vehicle field. The XPeng G7 is equipped with a powerful 40-core processor that can run up to 30B simulation parameters and features two self-developed neural network processors.

XPeng Motors announced that its self-developed Turing AI chip, designed to support Level 4 autonomous driving capabilities, is slated for mass production in 2025.

Xiaopeng Motors chairman He Xiaopeng recently announced that the company's fully self-developed Turing AI chip will be mass-produced and launched in the second quarter of this year. This progress comes as the automotive industry accelerates the application of end-to-end intelligent driving technology and the scale of AI large models continues to expand. Xiaopeng Motors is building its strongest AI brain by simultaneously developing a world base model with 35 times the parameters of mainstream VLA models, and a self-developed chip with computing power equivalent to three Nvidia Orin Xs, which is about to be mass-produced.

A recent study led by the Department of Cognitive Science at the University of California, San Diego, has achieved a landmark breakthrough in artificial intelligence: OpenAI's latest model, GPT-4.5, has demonstrated superior performance to humans in a standard Turing test using a persona, becoming the current AI system with the most human-like conversational abilities. This achievement not only reshapes our understanding of AI's language capabilities but also unlocks new potential for AI applications in social intelligence. The experiment compared four representative AI systems.

Recently, at the Global Developer Conference (GDC), Turing Robot officially launched its latest product—the Xiao Wen Mobile Digital Person. This product has attracted the attention of many attendees with its flexible and movable body, high intelligence in Q&A capabilities, and smooth interaction experience, making it a highlight of the conference.

Li Liyun, head of intelligent driving at Xpeng Motors, recently disclosed the company's autonomous driving development timeline for the first time, announcing plans to offer pseudo-autonomous driving capabilities on the Max series models by 2025, making Xpeng the first domestic car manufacturer to set a clear timeline for the rollout of autonomous driving. Li stated that Xpeng is currently on the 'eve of unmanned driving'. Based on a firm belief in the Scaling Law of autonomous driving, Xpeng has chosen a pure vision technology route for intelligent driving. He believes that with the accumulation of massive amounts of data and continuous improvement in cloud and vehicle computing power, the transition will be feasible.

At an auction in New York, a painting created by a humanoid robot was successfully sold for $1.08 million (approximately £566,000, AU$1,630,000), making it the first piece of robot art to be sold at auction. The painting, titled "A.I. God. Portrait of Alan Turing," depicts the famous mathematician Alan Turing and stands 2.2 meters (7.5 feet) tall, exceeding pre-auction estimates of $120,000 to $180,000.

Recently, exciting news has emerged from the art world: the renowned auction house Sotheby's will hold a unique auction at the end of this month, featuring a humanoid robot artist! This robot artist, named Ai-Da, will present her latest work titled 'AI God: Portrait of Alan Turing.' The artwork is inspired by Alan Turing, the father of modern computer science, and measures 64x90.5 inches, created using various media.

The Turing Test proposed by Alan Turing in 1950 aims to evaluate machine intelligence by making it difficult for humans to distinguish between machines and humans through textual communication. Recently, scientists at the University of California, San Diego, explored the ability of AI and humans to differentiate each other when reading conversation logs rather than engaging in direct communication. They designed the Inverted Turing Test and the Shifted Turing Test. The results showed that the accuracy of AI judges was lower than that of humans who participated in direct communication, and in some cases, the AI even mistakenly identified another AI as a human. This indicates that in the absence of direct communication...

A group of amateur enthusiasts successfully verified that the fifth number BB(5) of the Busy Beaver problem equals 47,176,870 using the Coq proof assistant software. This is the most significant advancement in the field of computational theory since 1983. This achievement marks an enhancement in the ability to solve complex mathematical problems, demonstrating the potential of software-assisted proof. The Busy Beaver problem dates back to 1974 and aims to find the specific Turing machines that can write the most '1's. The core of the problem lies in understanding the behavior of Turing machines, particularly their performance regarding the halting problem. This discovery not only contributes to

In the development of artificial intelligence, the Turing Test has always been an important milestone. Recently, researchers from the Department of Cognitive Science at the University of California, San Diego, conducted a replication of the Turing Test for GPT-4, and the results were remarkable.

A study from the University of California, San Diego, found that GPT-4 has a success rate of over 41% in the Turing Test, surpassing ELIZA. ELIZA achieved a 27% success rate in simulating humans, while GPT-3.5 only managed 14%, leading to an awkward evaluation of modern AI technology. The research indicates that ChatGPT was not specifically designed to excel in the Turing Test, but GPT-4 performed significantly better in the evaluation. The reflections on the design and performance of modern AI chatbots have not undergone peer review, garnering attention from the industry.

A study by the University of California found that GPT-4 did not pass the Turing Test and performed worse than human intelligence. The GPT-3.5 model lost in conversations with the 60-year-old AI chatbot ELIZA. The research used the Turing Test to explore the human-like characteristics of AI models, sparking academic interest. Investigators' judgments were primarily based on language style and social-emotional traits, with no significant prediction based on educational level.

A team from UCSD has confirmed that GPT-4 has not passed the Turing Test, with the classic AI ELIZA defeating ChatGPT. Humans had a win rate of only 63% in the test, raising discussions about the effectiveness of the Turing Test. The research found that ELIZA achieved a 27% success rate in convincing humans that it was human. The study examined the performances of GPT-4, GPT-3.5, ELIZA, and humans through various design changes, including altering interaction prompts.

GPT-4 achieves a success rate of 41% in the Turing Test, surpassing traditional models ELIZA and GPT-3.5. Research by Jones and Bergen shows that GPT-4 demonstrates a significant advantage in the field of artificial intelligence. The study indicates that GPT-4 is a paid version, which performs better than the free version GPT-3.5 in the tests. Despite the progress made, there is still room for improvement in artificial intelligence in the Turing Test, reflecting the potential limitations of the technology.