Is AI actually starting to ‘get smarter’?! The latest research from MIT indicates that the internal structure of large language models (LLMs) astonishingly resembles that of the human brain! This study utilized sparse autoencoder techniques to conduct an in-depth analysis of the activation space of LLMs, revealing three hierarchical structural features that are truly remarkable: first, at the microscopic level, researchers discovered the existence of structures akin to ‘crystals’. The surfaces of these ‘crystals’ are composed of parallelograms or trapezoids, similar to familiar lexical analogies such as ‘man:’

Google is expanding the 'Help me write' feature to the web version of Gmail, allowing users to craft or refine emails using Gemini AI. Similar to the mobile version, users will see prompts to use this feature when opening a blank draft in Gmail. However, it is important to note that the 'Help me write' feature is not available to everyone; it is only accessible to subscribers of Google One AI Premium or those with Gemini W.

Recently, a research team from Princeton University released an intriguing report indicating that as of August 2024, approximately 4.36% of new articles on Wikipedia contain significant AI-generated content. This study was conducted by scholars Creston Brooks, Samuel Eggert, and Denis Peskoff, who used tools named GPTZero and Binoculars to detect this AI-generated content.

In the wave of integration between mining and technology, KoBold Metals, a startup, has recently attracted significant attention within the industry. The company successfully raised $491 million, aiming to complete a total financing round of $527 million. This funding will greatly enhance the development of their giant high-grade copper mine discovered in Zambia, while also accelerating the progress of the company's other exploration projects. Image source note: Image generated by AI, image licensed from service provider Midjourney as per KoBold Meta.

According to a latest report published by Bain & Company, the Artificial Intelligence (AI) market is experiencing explosive growth, with the market size expected to approach $1 trillion by 2027. This growth is mainly driven by increasing investments in AI technology and ongoing advancements in the technology. The report indicates that from 2022 to 2027, the compound annual growth rate (CAGR) for the AI market will be approximately 31%. Image source note: Image generated by AI, image licensed through Midjourney. So, what is driving this wave of growth?

Alexis Conneau, former chief researcher at OpenAI and head of the GPT-4o project, announced his departure to start a new company, sparking discussions in the AI community. Conneau revealed on social media that after the conclusion of his '#Her project' at OpenAI, he decided to launch a new venture. He humorously responded to inquiries about the timeline for Artificial General Intelligence (AGI), suggesting that the new company could bring about 'AGEI'. Conneau has made significant contributions to the field of AI, particularly in natural language processing (NLP) and machine learning.

The launch of Civitai Green marks the platform's transformation into a clean, professional AI art creation environment, completely eliminating adult content to provide creators with safe and appropriate image and model resources, enhancing the user experience in the workplace. Through Civitai Green, the platform not only ensures the high quality and diversity of resources but also introduces a more efficient payment processor, Paddle, optimizing the user payment experience. This transformation benefits the platform's commercial development and strengthens the community ecosystem by sharing works.

AI infrastructure startup 'Wu Wen Xin Qiong' announced the completion of nearly 500 million Yuan in Series A financing, setting the record for the largest single financing amount for domestic AI Infra startups. This round was co-led by the Social Security Fund Zhongguancun Independent Innovation Fund, Qiming Venture Partners, and Hongtai Fund, with participation from strategic investors including Lenovo Capital, Xiaomi, and Softcom. The funds will primarily be used to enhance talent acquisition, deepen technology research and development, drive product commercialization, and strengthen ecosystem collaboration. 'Wu Wen Xin Qiong' was established just 16 months ago.

Meta has released a mid-term update showing a significant increase in the adoption rate of its Llama series models, especially after the launch of Llama 3.1. The downloads of the Llama models on the Hugging Face platform are approaching 350 million, a tenfold increase from last year, attracting well-known companies such as Zoom, Spotify, AT&T, and Goldman Sachs. The development of open-source AI not only approaches the performance of closed models but also achieves widespread application at the enterprise level.

Changes at OpenAI have sparked broad concern in the industry regarding AI safety issues. The AGI safety team has significantly reduced in size, from about 30 members to around 16, raising worries about whether the company is neglecting AI safety concerns. The departures were not an organized effort, but rather a gradual loss of confidence among team members. Former governance researcher at OpenAI, Daniel Kokotajlo, noted that the reduction in the team appears to be related to the company's increased focus on product and commercialization development. In response to external doubts, OpenAI emphasizes its commitment to safety.

The UK's railway system has introduced artificial intelligence technology for the first time, developing an Automated Deer Detection and Deterrent System (ADDS) that successfully prevents nearly 6000 deer from entering railway areas, ensuring railway safety. This system was collaboratively developed by Network Rail and London North Eastern Railway, utilizing 127 cameras, 90 ultrasonic alarms, flashing red and white lights, 10 Wi-Fi routers, and portable power supplies to monitor deer movements in real-time and drive them away. Since its implementation, the system's real-time monitoring footage has effectively stopped deer from approaching the railway, reducing animal intrusions.

In the field of artificial intelligence, a mysterious startup named World Labs is gaining widespread attention. Founded by renowned Stanford AI professor Fei-Fei Li, the company has reportedly completed two rounds of financing in just two months.

World Labs, a startup founded by Stanford University AI professor Fei-Fei Li, has completed two rounds of funding in two months, reaching a valuation of over $1 billion and becoming a 'unicorn' company. The latest funding round was led by NEA, with a significant increase in valuation compared to the first round in April. World Labs is dedicated to developing AI models that can accurately estimate the three-dimensional physical properties of real-world objects and environments, aiming for detailed digital replication without the need for large-scale data collection, and is focused on addressing the scarcity of 3D data. The company's business model has not been validated by the market.

Nearly 50% of job seekers use AI tools like ChatGPT to write resumes and cover letters, leading to a surge of low-quality applications in the recruitment market and posing challenges for recruiters. This trend has resulted in a spike in application numbers, with employers like Deloitte and EY warning recent graduates to avoid using AI. While young job seekers can cleverly mask traces of AI usage, generative AI is also being used for cheating, particularly in recruitment tests. Job seekers using the paid version of ChatGPT have a higher success rate in psychological assessments, which correlates positively with socioeconomic status.

Since the release of ChatGPT in November 2022, nearly 9% of the newly registered AI companies in China have either been canceled, revoked, or ceased operations, amounting to almost 80,000 businesses, which represents 8.9% of all new registrations during the same period. Over the past three years, more than 200,000 AI-related companies have been deregistered or revoked. In the last decade, 353,000 AI businesses have vanished. Currently, there are 1.8043 million AI-related companies in China, with more than 4,500 recognized by the Ministry of Industry and Information Technology as part of the AI industry system, and over 180 large models providing services to the public.

The "Toxic Tongue AI" Twitter personality has rapidly gained popularity due to its unique features and explosive user growth. This AI tool generates humorous and sharp comments by analyzing users' past tweets, requiring only a Twitter username. Developer @ky__zo revealed it has reached 5 million users and generates nearly $4K per hour, with about 36 new registrations per minute, putting pressure on the team. To manage growth, a paid feature has b....

The 'Wolf Ranch' community in Georgetown, Texas, is utilizing the giant 3D printer Vulcan to construct homes, with over a quarter of the houses already sold. Developer ICON is collaborating with housing company Lennar to build 100 homes through this technology, with completion expected by summer. These 3D printed homes are priced between $450,000 and $600,000, utilizing hybrid materials for construction, with walls designed to be sturdy, energy-efficient, and resistant to extreme weather. The modern ranch-style design is provided by BIG-Bjarke Ingels Group.

The Tencent Yuanbao AI Assistant has introduced a new long text deep reading feature, providing users with professional content analysis for documents such as theses, financial reports, and research reports. After uploading content, users can receive core overviews, modular analyses, and chart summaries, allowing rapid comprehension of key information. The deep reading mode, leveraging Tencent's Hunyuan large model, supports the processing of 500,000-word long texts, generating illustrated analyses that include innovation point extraction, professional term search/translation, and DuPont analysis charts. This feature allows users to view deep reading content and the original text offline, enhancing reading efficiency. Powered by Tencent's trillion-parameter Hunyuan large model, it offers...

Intel announced layoffs of 15,000 employees to cut costs and improve profitability. As part of its 2025 plan, the company expects significant reductions in R&D and marketing spending by 2026, with a 20% decrease in capital expenditures this year. The layoffs, representing 15% of its workforce, led to a nearly 20% drop in stock prices. CEO Pat Gelsinger acknowledged poor financial performance in Q2, with a $1.6 billion loss and only 1% revenue gro....