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meta, nvidia and scale ai Updates

The artificial intelligence landscape is rapidly evolving, with significant developments across various sectors. Cisco is bolstering AI-assisted software development through its open-source Project CodeGuard, a framework designed to identify and block common security flaws in AI-generated code by integrating rules based on industry standards like OWASP and CWE. Meanwhile, Meta is integrating AI into its consumer products, with its AI suggesting photo edits on users' phones in the U.S. and Canada, though user media is not used for ad targeting or AI training unless shared or edited. Meta's AI smart glasses, developed in partnership with EssilorLuxottica, have seen a threefold increase in sales, suggesting a growing market for wearable AI. Beyond consumer applications, AI is also impacting media rights, with Factiva expanding its AI-licensed content marketplace to help publishers earn royalties from enterprise AI usage. In the realm of AI development itself, NVIDIA is supporting the open-source ecosystem through initiatives like Open Source AI Week, aiming to accelerate innovation through collaboration. The broader investment in AI is largely driven by its future potential to create new revenue streams, rather than immediate profitability, a strategy that mirrors early internet development. On the practical application front, researchers have developed a smartphone AI to predict avocado ripeness, potentially reducing food waste, while law enforcement in Michigan is increasingly adopting AI surveillance tools like automated license plate readers and facial recognition. However, the article also touches on the limitations of AI, noting that AI companions lack the genuine human connection essential for personal growth and understanding, highlighting the importance of real-world interactions.

Key Takeaways

Cisco has launched Project CodeGuard, an open-source framework to enhance the security of AI-generated software by identifying common flaws.
Meta's AI is now suggesting photo edits on users' phones in the U.S. and Canada, with privacy controls in place regarding media usage for AI training.
Sales of Meta's AI smart glasses have tripled, indicating strong consumer interest in wearable AI technology.
Factiva is expanding its AI-licensed content marketplace to enable publishers to earn royalties from enterprise AI usage.
NVIDIA is actively supporting the open-source AI ecosystem to foster collaboration and accelerate AI development.
Current large-scale investments in AI are primarily driven by the anticipation of future revenue potential rather than immediate profits.
A smartphone AI has been developed to accurately predict avocado ripeness, aiming to reduce global food waste.
Michigan law enforcement agencies are increasing their use of AI surveillance tools, including license plate readers and facial recognition.
AI companions, while offering comfort, cannot replicate the genuine human connection necessary for personal growth and understanding.

Cisco's Project CodeGuard secures AI-generated software

Cisco launched Project CodeGuard, an open-source framework to make software written by AI more secure. It uses rules based on industry standards like OWASP and CWE to find common flaws such as hardcoded secrets and outdated software. The framework works in multiple stages, from planning to final code review, to block insecure code. Cisco invites developers and security experts to contribute new rules and improvements to the project.

Cisco's CodeGuard adds security to AI coding tools

Cisco introduced Project CodeGuard, an open-source framework that helps secure software created by AI coding assistants. This tool is compatible with various AI platforms and identifies issues like hidden secrets and weak input validation. CodeGuard applies security rules throughout the development process, from initial design to final code checks. It uses established guidelines from OWASP and CWE to prevent common software vulnerabilities, aiming to make secure coding the default.

Cisco open-sources Project CodeGuard for AI code security

Cisco released Project CodeGuard, an open-source framework to improve the security of AI-assisted software development. The tool integrates secure rules into AI coding workflows, offering a community-driven set of rules and validators for automatic security checks. Project CodeGuard works across the entire AI coding lifecycle, guiding AI toward safer patterns and preventing insecure code in real-time. While not a replacement for human review, it aims to reduce common vulnerabilities in AI-generated code.

Facebook AI suggests photo edits on your phone

Facebook is rolling out a new feature in the U.S. and Canada that allows Meta AI to suggest edits for photos stored on users' phones. The AI analyzes photos uploaded to Facebook's cloud to create edit suggestions. Meta states that user media will not be used for ad targeting or AI training unless the user edits or shares the content. Users can disable this feature at any time through their Facebook settings.

Facebook's new collage feature may use your images for AI training

Facebook is introducing a new collage feature that may use users' photos for AI training. The AI will suggest photo collages and edits, which are private unless shared. If a user shares AI-created content or edits it with Meta's tools, Facebook may use it for AI training. Users in the U.S. and Canada can access this feature, and settings to opt-in or out are available in the app's camera roll settings.

AI royalties for publishers via collective licensing

Small and midsize publishers can now earn AI royalties through collective licensing, primarily driven by enterprise Retrieval-Augmented Generation (RAG) usage. Factiva, part of Dow Jones, is expanding its AI-licensed content marketplace, partnering with around 5,000 publishers. Factiva negotiates AI licensing rights on behalf of publishers, ensuring fair usage terms and accurate payments based on usage. The company aims to secure royalties for niche B2B media companies and is exploring future negotiations with consumer LLM platforms.

AI predicts avocado ripeness, tractor sales rise

Researchers developed a smartphone AI system that accurately predicts avocado ripeness and quality, aiming to reduce global food waste. Separately, September tractor sales increased by 4% compared to last year, driven by smaller tractor sales, though larger tractor sales dropped. The Animal Agriculture Alliance also released a guide highlighting the nutritional and sustainability benefits of meat and other animal proteins.

AI buildout justified by future potential, not current profit

The current massive investment in AI is driven by the belief in its future potential to create new revenue streams, rather than immediate profits. This speculative investment mirrors early internet development, where significant infrastructure was built without clear profitability. Companies are investing billions in AI research and development, betting on its transformative power to revolutionize industries. This approach is crucial for accelerating AI innovation and unlocking future value.

Open Source AI Week advances AI innovation

Open Source AI Week brings together organizations, researchers, and communities to foster collaboration and accelerate AI development. NVIDIA is supporting the open-source ecosystem by providing tools, models, and datasets to empower developers. The event highlights how openness drives innovation, transparency, and breakthroughs in AI. NVIDIA is committed to advancing AI through community collaboration and shared resources.

Michigan police use more AI surveillance tools

Michigan law enforcement agencies are increasingly using AI for surveillance, with 26% now employing automated license plate readers and 10% using facial recognition technology. A University of Michigan study found that many agencies plan to adopt these tools in the near future. AI applications in policing include data analysis, license plate readers, and predictive policing. Officials emphasize that AI use must be responsible and guided by professional standards.

AI companions lack real human connection

The increasing use of AI chatbots as companions or therapists is concerning, as these interactions are one-sided and lack genuine human connection. While AI can provide comfort, it cannot replicate the growth and understanding gained from diverse real-life conversations. Relying on AI for connection can trap individuals in echo chambers and isolate them from valuable human interaction. The article stresses the importance of talking to real people for genuine connection and personal development.

Meta's AI smart glasses sales surge

EssilorLuxottica, the maker of Ray-Ban Meta smart glasses, reported a threefold increase in sales for the glasses by mid-year, contributing significantly to the company's 11% revenue growth. The company believes smart glasses will eventually replace many smartphone functions. EssilorLuxottica's partnership with Meta has boosted sales of both Ray-Ban Meta and Oakley Meta glasses, indicating a strong market demand for wearable AI technology.

AI transforms cybersecurity for hybrid cloud

Artificial intelligence is revolutionizing cybersecurity, especially for complex hybrid cloud environments. AI enhances traditional security by detecting, analyzing, and responding to threats in real time. AI-powered application connectivity solutions offer better network visibility, mapping applications and identifying risks. This proactive approach helps organizations stay ahead of cybercriminals who are also using AI, leading to improved security postures and operational resilience.