In today's digital age, the behavior of teenagers 'aging up' in the online world has become a tricky issue. To address this challenge, Instagram is developing a groundbreaking AI age verification technology aimed at more accurately identifying users aged 13 to 17 and integrating them into a dedicated teen account management system. The core of this technology lies in the artificial intelligence system independently developed by Meta (Instagram's parent company). If this system can accurately identify adult users, it will greatly enhance the platform's security and user experience.

Recently, Instagram announced that it will use artificial intelligence technology to verify the age of users in order to better identify teenage users. This new measure aims to place users aged between 13 and 17 in new teen account settings. Meta's technology, if it can accurately identify adults, will represent a significant advancement in user safety and privacy, especially compared to the age verification imposed by state governments at the smartphone level. Since the report in March 2021, Instagram has...

The Tongyi Qianwen team announced the official open source of the latest member of the Qwen family, the Qwen2.5 series language models, three months after the Qwen2 release. This marks one of the largest open source releases in history, including the general language model Qwen2.5, as well as the Qwen2.5-Coder and Qwen2.5-Math models specifically designed for programming and mathematics.

Recently, the famous programming competition platform Codeforces made an important decision - to prohibit the use of artificial intelligence (AI) in programming contests. With the rapid enhancement of AI programming capabilities, Codeforces founder Mikhail Mirzayanov stated that this decision is necessary as the development of neural networks has reached 'a new height that cannot be ignored'. Image source note: The image is generated by AI, image authorized by service provider Midjourney. This new regulation mainly targets the participants of the competitions.

Meta has announced that it will continue with its plan to use millions of publicly available posts from UK Facebook and Instagram users to train its artificial intelligence technology. Although this practice is largely prohibited under EU privacy laws, Meta states that it has been in active communication with the UK Information Commissioner's Office (ICO), after previously pausing similar proposals in June. The pause was due to the ICO's warnings that tech companies must respect user privacy when developing generative AI.

On an exciting evening, Oprah Winfrey presented us with a special program on Artificial Intelligence (AI) titled "AI and Our Future." The event attracted several heavyweight guests, including OpenAI CEO Sam Altman, tech influencer Marques Brownlee, and FBI Director Christopher Wray. The overall tone of the program was quite cautious, as if everyone was quietly drumming. Oprah pointed out at the opening that the 'devil' of AI has already been unleashed from the bottle.

As AI continues to improve its coding capabilities, the structure of software development teams is facing significant changes, with the prospects for junior developers and Quality Assurance (QA) positions becoming precarious. An increasing number of Chief Information Officers (CIOs) and heads of development teams are indicating that with the widespread adoption of AI assistants, they will reassess the composition of their teams, which will mainly rely on AI experts and senior developers to oversee AI-generated code.

Social media giant Meta is about to make significant adjustments to the way AI content is tagged on its platforms Instagram, Facebook, and Threads. Starting next week, the 'AI Information' label for content edited or modified by AI tools will be moved to the post menu and will no longer be displayed directly below the user's name. This change brings several key points: 1. Tagging Distinction: Content that is entirely generated by AI will still retain a prominent label, while labels for content that has been merely edited by AI will be hidden. 2. Sources of Transparency: Me

Recently, Meta announced that it will adjust the way it labels AI-edited content on Instagram, Facebook, and Threads. This change means that the 'AI Information' label indicating whether content has been edited by AI tools will be moved from below the username to the post menu. Previously, users could easily see this label below the username, but now they will need to click the menu to find it. However, Meta also stated that content generated entirely by AI will still be labeled.

Cosmos Institute has announced a program aimed at cultivating a new generation of tech talent and entrepreneurs, focusing on fostering individuals who can think deeply and uphold humanistic values in the age of artificial intelligence. The founding members of the institute include Jack Clark of Anthropic and former Department of Defense technology expert Brandon McCall. The core goal is to create AI technologies that respect human dignity and mitigate the negative impacts of automation. The institute has established the 'Human-Centered AI Lab' at the University of Oxford, led by philosopher Philip Kouroupos, with the aim of integrating philosophical principles.

Today, Mita AI Search announced an upgrade for programming-related inquiries. The new features of Mita AI Search include the ability to execute code with one click, allowing users to directly see the results of the AI-generated code. Additionally, Mita AI Search has enhanced its debug functionality for programming errors, assisting users in quickly fixing issues encountered during compilation or runtime.

Beijing Zero One Everything Technology Co., Ltd. officially announces the open-source release of the Yi-Coder series model, marking another significant advancement for the company in the field of artificial intelligence. The Yi-Coder series focuses on programming tasks, offering models with 1.5B and 9B parameter scales, with Yi-Coder-9B demonstrating exceptional performance in code generation, understanding, debugging, and completion.

The discussion surrounding programming skills among university professors in India has garnered widespread attention. A study reveals that only 2.5% of Indian engineers possess AI skills, and just 5.5% have basic programming knowledge, raising concerns about the quality of education. Many engineers point out that professors lack adequate programming skills, relying on YouTube videos and online courses for teaching materials, which lack originality and depth. This issue is particularly evident in Tier-3 colleges, where professors often duplicate video content when teaching courses like computer networks. Income disparity is also a significant issue, as university professors' annual salaries...

AI programming sector experiences significant funding surge as Codeium, a new unicorn, secures $150 million at a valuation exceeding $1.25 billion. Led by General Catalyst with participation from Kleiner Perkins and Greenoaks, this round highlights market optimism for AI programming technology. Codeium's platform leverages its proprietary code models to simplify software development and enhance developer productivity. The funds will accelerate pr....

Magic, a startup focused on generative AI programming, has announced the completion of $320 million in funding, bringing its total financing to nearly $465 million. This round of funding was led by former Google CEO Eric Schmidt, with participation from several well-known investors. Magic's core technology, the Long-Term Memory Network (LTM), can handle vast amounts of data and avoid bias when generating code. Its latest model, LTM-2-mini, can process 100 million tokens, equivalent to 10 million lines of code or 750 novels. In partnership with Google Cloud, it plans to establish two '

OpenAI's Converge2 accelerator program seems to have entered a 'low-profile' phase since opening the second round of applications last December, contrasting sharply with the usual tech industry promotions. The program's operations remain silent, leading to speculation about its progress. In contrast to the earlier Converge1, which was relatively open about its launch and announced its first batch of investments, Converge2 has not disclosed any information about the companies that received funding, even after multiple requests to OpenAI.

Huawei has launched the 'AI Hundred Schools Program' aimed at supporting domestic universities in AI research and innovation by providing AI computing resources through Ascend Cloud Services. This initiative seeks to eliminate computing power bottlenecks and promote scientific research and talent development. The program is targeted at university teams with significant research achievements or far-reaching influence, covering a wide range of areas including AI operators, algorithms, model inference, and large model training. Applicant teams are required to submit project details, and Huawei will comprehensively evaluate project goals, value, innovation, and impact on the industry and ecosystem. Approved projects can receive between 50,000 to 1 million annually.

AI companions are quietly entering human lives with high levels of personalization and endless patience, triggering new forms of emotional connections and even potential 'intellectual addiction.' MIT research reveals that people are inclined to interact with AIs that meet their expectations. The experience of a software engineer demonstrates how AI companions can provoke questions about self-awareness through emotional connections, along with philosophical reflections stemming from interactions with AI. As AI companions raise moral questions like rights to freedom, humans are beginning to reconsider their dependency on AI, realizing that it is not just a technological issue, but also a matter of ethics.

AI code generation startup Cursor successfully raised $60 million in Series A funding, with investors including Andreessen Horowitz, Thrive Capital, and OpenAI. Cursor aims to simplify software development through advanced AI technology, with a platform that automatically searches for and generates programming code, significantly improving development efficiency. This funding round attracted several industry heavyweights, including Google's Jeff Dean and Meta.