Meta recently announced that its Llama series of artificial intelligence models will be made available to U.S. government agencies and related contractors to support national security applications. This move aims to dispel concerns that its 'open' AI could aid foreign adversaries. In a blog post, Meta stated, 'We are pleased to confirm that Llama will be accessible to U.S. government agencies, including those focusing on defense and national security projects, as well as private sector partners supporting this work.'

In recent years, artificial intelligence (AI) has become a hot topic globally, especially since OpenAI launched ChatGPT. The US defense and security agencies have swiftly acted, beginning to invest heavily in AI projects. According to an analysis by Fortune magazine, the Department of Defense (DoD) has signed contracts worth approximately $670 million over the past two years, involving nearly 323 companies, focusing on various AI-related projects.

Recently, US defense contractor Anduril Industries announced the launch of two new autonomous aircraft, Bolt and Bolt-M. These drones are equipped with advanced artificial intelligence technology and are touted as easy to operate and highly precise, aiming to change the traditional use of drones. The Bolt is a reconnaissance drone with a maximum flight range of over 20 kilometers, a flight time of over 45 minutes, and weighs approximately 5.4 kilograms. Anduril states that this drone is not only suitable for reconnaissance but can also

Anduril, founded by Palmer Luckey, has recently secured $1.5 billion in investment and plans to establish a smart factory for the production of autonomous weapons and advanced battlefield technologies, aiming for an annual output of tens of thousands of units. The company aims to create a highly efficient manufacturing platform similar to Tesla's, optimizing weapon system design and operation through AI technology to enhance combat efficiency and reshape military strategy. Anduril's rise has garnered significant attention in the defense technology sector, signaling a revolutionary change in the integration of technology and military.

Xiaomi's SU7 car has undergone a system upgrade to HyperOS 1.2.7, introducing key features like external wake-up defense and front vehicle recognition. This system update brings the highly anticipated 'external wake-up defense' functionality. When the vehicle is in P gear, the central control is locked, and all doors and windows are closed, this feature will automatically activate, effectively blocking voice wake-up attempts from outside, significantly enhancing the vehicle's security. This improvement directly addresses user feedback regarding the safety risks associated with external voice wake-ups.

German AI defense company Helsing recently secured €450 million in a C round financing. This funding will be used for product development and research, with a focus on protecting the eastern border of NATO. This round was led by General Catalyst, with other investors including Elad Gil, Accel, Saab, Lightspeed, Plural, and Greenoaks.Image Source Note: The image was generated by AI, and the image licensing is provided by Midjourney The company's co-founders, Niklas K?hler, Torsten Reil, and Gundb

German defense technology startup Helsing is in talks with Silicon Valley investors including Accel and Lightspeed Venture Partners to raise nearly $500 million, achieving a valuation of $4.5 billion.

As sales surge during the holiday shopping season, Visa faces an increase in cybercrime attacks and employs artificial intelligence tools to prevent fraud. With an investment of over $3 billion, Visa has built a robust anti-fraud system that analyzes transactions in real-time and assesses 500 unique risk factors. Despite using AI to combat crime, Visa emphasizes the crucial role of human intelligence in collaboration, working with merchants and other entities to address potential fraud.

HiddenLayer, based in Austin, Texas, has secured $50 million in Series A funding, led by Microsoft’s venture capital fund M12 and Moore Strategic Ventures. HiddenLayer's MLSec platform offers security defense tools for enterprise AI models. The company plans to expand its workforce and continue supporting digital transformation efforts. HiddenLayer is committed to ensuring the security of enterprise AI/ML models.

Research shows that large pre-trained language models (LLMs), such as GPT-3, can improve themselves through the RAIN method to meet human needs without additional data and fine-tuning. The RAIN method is widely applicable to various language generation tasks, requiring no additional models or data storage, nor does it rely on labeled data or training. RAIN enhances the performance of LLMs through self-assessment, reducing the success rate of adversarial attacks, and enabling AI to generate more coherent and secure responses. This study introduces RAIN as a technique for adjusting LLMs to align with human preferences.

{1: Australian Defense Department personnel used the AI chatbot ChatGPT thousands of times without approval. 2: The Australian Defense Department restricted access to the network domain of ChatGPT's owner, OpenAI, to prevent data or privacy breaches. 3: Lack of government-wide policies to manage the safety issues of using generative AI products in government departments.}