Black Forest Labs launches FLUX 3 capable of generating images and 20-

Artificial intelligence models are under fire as new threats and innovations emerge in the space. Black Forest Labs has launched FLUX 3, a multimodal frontier model that can generate images and 20-second video with audio, while Cisco's AI security lead warns of the dangers of multi-turn attacks on AI models.

FLUX 3: The Future of Creative Generation

Black Forest Labs (BFL) has expanded its FLUX family beyond image generation with the launch of FLUX 3, a multimodal frontier model trained to understand and generate images, or combined audio/video clips up to 20 seconds from a single prompt, as reported by VentureBeat. The Freiburg, Germany-based AI lab says FLUX 3 is jointly trained across those modalities rather than assembling separate image, video and audio models behind a common interface.

The distinction is central to the company's pitch: BFL wants enterprises to think about creative generation, simulation, and computation in a more integrated way. According to FLUX 3, this can be achieved by using a single model that can handle multiple tasks, rather than relying on separate models for each task. This approach can lead to more efficient and effective use of resources, as well as improved performance.

As reported by VentureBeat, the launch of FLUX 3 is significant because it marks a major milestone in the development of multimodal AI models. The ability to generate images and video with audio is a key aspect of many applications, including entertainment, education, and advertising. With FLUX 3, businesses and individuals can create high-quality content quickly and easily, without the need for extensive training or expertise.

However, it's worth noting that FLUX 3 is still in its early stages, and the technology is not yet widely available. As Black Forest Labs continues to develop and refine FLUX 3, we can expect to see more applications and use cases emerge. For now, the launch of FLUX 3 is an exciting development that highlights the potential of multimodal AI models to transform the way we create and interact with content.

Multi-Turn Attacks: A Growing Threat to AI Models

When Cisco ran 6,986 multi-turn attacks against 15 flagship models, attackers who adapted across the conversation broke through as often as 88.3% of the time, according to VentureBeat. Amy Chang, Cisco's head of AI threat intelligence and security research, brought this finding to the agentic security panel at VB Transform 2026, highlighting the need for more robust testing and security measures.

The fact that single-turn testing missed these vulnerabilities is a concern, as it suggests that many AI models are not being adequately tested for security. As Amy Chang noted, the number of successful attacks should worry anyone still running single-turn red-teaming programs. The implications are significant, as AI models are increasingly being used in critical applications, such as finance, healthcare, and transportation.

To address this threat, businesses and organizations need to adopt more robust testing and security measures. This includes using multi-turn attacks to test AI models, as well as implementing other security protocols, such as encryption and access controls. By taking a more proactive approach to security, we can reduce the risk of successful attacks and protect sensitive information.

As the use of AI models continues to grow, the need for robust security measures will only become more pressing. With the rise of multi-turn attacks, it's clear that the threat landscape is evolving rapidly, and businesses and organizations need to stay ahead of the curve to protect themselves and their customers.

AegisAI: Fighting AI-Driven Spear Phishing

AegisAI, founded by former Google security execs, has landed $36M to stop AI-driven spear phishing, as reported by TechCrunch. The Series A was led by Battery Ventures, bringing AegisAI total funding to $49 million. This investment is significant, as it highlights the growing concern about AI-driven spear phishing and the need for effective solutions.

AegisAI is focused on developing AI-powered solutions to detect and prevent spear phishing attacks. The company's technology uses machine learning algorithms to analyze email traffic and identify potential threats. By leveraging AI, AegisAI can provide more effective protection against spear phishing attacks, which are often highly targeted and sophisticated.

The funding will be used to further develop AegisAI's technology and expand its customer base. As the company continues to grow, we can expect to see more innovative solutions to the problem of AI-driven spear phishing. With the rise of AI-powered attacks, it's clear that the security landscape is evolving rapidly, and companies like AegisAI are at the forefront of this evolution.

As AI-driven spear phishing becomes an increasingly significant threat, the need for effective solutions will only grow. AegisAI's funding is a significant development in this space, and it highlights the importance of investing in AI-powered security solutions. By leveraging AI and machine learning, we can provide more effective protection against these types of attacks and reduce the risk of successful breaches.

Etched: Revolutionizing AI Chip Design

Etched, founded by three Harvard dropouts, has created new chips and memory components that speed up inference on any AI model -- no GPUs required, it says, as reported by TechCrunch. The company has hit a $10.3B valuation from big-name investors, highlighting the significant potential of its technology.

Etched's approach is significant because it challenges the traditional dominance of GPUs in AI computing. By developing custom chips and memory components, Etched can provide faster and more efficient processing of AI models. This can lead to significant improvements in performance, as well as reduced power consumption and costs.

The implications of Etched's technology are far-reaching. With the ability to speed up inference on any AI model, Etched can enable a wide range of applications, from autonomous vehicles to healthcare and finance. As the company continues to develop its technology, we can expect to see more innovative solutions emerge.

As AI chip design continues to evolve, it's clear that Etched is at the forefront of this evolution. The company's funding and valuation are significant developments in this space, and they highlight the growing importance of custom chip design for AI applications. By leveraging Etched's technology, businesses and organizations can provide more effective and efficient AI solutions, leading to improved performance and reduced costs.

The bottom line

In conclusion, the AI landscape is evolving rapidly, with new threats and innovations emerging every day. From the launch of FLUX 3 to the growing threat of multi-turn attacks, it's clear that the AI space is becoming increasingly complex and challenging. However, with the right solutions and investments, we can provide more effective protection against these threats and enable the development of more innovative AI applications.

• The launch of FLUX 3 highlights the potential of multimodal AI models to transform the way we create and interact with content.
• The growing threat of multi-turn attacks requires more robust testing and security measures to protect AI models.
• AegisAI's funding highlights the importance of investing in AI-powered security solutions to combat AI-driven spear phishing.
• Etched's technology has the potential to revolutionize AI chip design and enable faster and more efficient processing of AI models.
• As the AI landscape continues to evolve, it's essential to stay ahead of the curve and invest in innovative solutions and technologies.