Nvidia expands AI production alongside Apple's Campos chatbot

Key Takeaways

• Nvidia CEO Jensen Huang advocates for increased AI investment, asserting the boom is early and its value lies in practical applications across industries.
• Apple employees use an internal AI chatbot, Enchanté, rolled out in November 2025, for tasks like development and proofreading, running on Apple Foundation Models, Claude, and Gemini.
• Apple plans to replace Siri with an AI chatbot, code-named Campos, integrated into iOS 27, iPadOS 27, and macOS 27, with Google supplying some underlying technology.
• Bristol Myers Squibb (BMS) and Microsoft are partnering to deploy FDA-cleared AI algorithms via Microsoft’s Precision Imaging Network for early lung cancer detection in over 80% of US hospitals.
• Google and Google DeepMind leaders are discussing Artificial General Intelligence (AGI), emphasizing its potential for scientific discovery and the need for responsible management.
• UC Law San Francisco established an AI advisory board, including executives from OpenAI and NVIDIA, to address AI's impact on legal education and practice.
• Apple became the largest smartphone maker in 2025 with a 20% market share, partly due to "Apple Intelligence" features, and expects further growth from AI integration.
• Generative AI, including ChatGPT and Claude, often fails creative tasks, producing mediocre results and lacking human creativity, as noted by a critical author.
• Large language models (LLMs) are vulnerable to prompt injection attacks due to their lack of real-world context and judgment, posing ongoing security challenges.
• VideoWatermarkRemover.ai released guidance on using AI to remove watermarks from videos, stressing the importance of proper authorization and licensing.

Nvidia CEO Jensen Huang urges more AI investment

Nvidia CEO Jensen Huang spoke at the World Economic Forum in Davos, Switzerland. He stated that the artificial intelligence boom is still early and needs more investment, despite concerns about a bubble. Huang believes AI is the most important technology ever invented and its true value comes from how it is used to solve real-world problems. Nvidia, a major supplier of AI chips, is working hard to increase its production to meet high demand. He also stressed the importance of developing AI responsibly to benefit humanity.

Jensen Huang calls for more AI investment

Nvidia CEO Jensen Huang spoke at the World Economic Forum in Davos. He said the artificial intelligence field needs more investment, disagreeing with ideas that it is a market bubble. Huang stressed that the real economic benefits of AI come from how it is used in different industries. He believes focusing on AI's practical uses is very important. Nvidia's stock has risen greatly due to high demand for its AI chips.

Apple employees use internal AI chatbot Enchanté

Apple employees are using an internal AI chatbot called Enchanté to help them work faster. This tool, rolled out in November 2025, acts like an internal ChatGPT assistant for ideas, development, proofreading, and general knowledge. Enchanté runs on Apple-approved models, including Apple Foundation Models, Claude, and Gemini, and can analyze uploaded files and access Mac files. Apple also developed Enterprise Assistant, an AI knowledge hub for corporate employees to answer questions about company policies. These internal tools show Apple's growing use of AI, with plans to update Siri later this year using Google Gemini.

Apple plans major Siri AI chatbot revamp

Apple plans to transform Siri into its first artificial intelligence chatbot later this year. This new chatbot, code-named Campos, will be deeply integrated into iPhone, iPad, and Mac operating systems, replacing the current Siri. Users will activate it the same way as current Siri, and it will offer advanced features like web search, content creation, image generation, and file analysis. Apple will unveil the technology in June at its Worldwide Developers Conference and release it in September with iOS 27, iPadOS 27, and macOS 27. This move marks a strategic shift for Apple to compete in the generative AI market, with Google supplying some underlying technology.

BMS and Microsoft team up for AI lung cancer detection

Bristol Myers Squibb BMS and Microsoft are partnering to use artificial intelligence for early lung cancer detection. They will deploy FDA-cleared radiology AI algorithms through Microsoft’s Precision Imaging Network, which is used by over 80 percent of US hospitals. These AI tools will automatically analyze X-ray and CT images to help radiologists find hard-to-spot lung nodules. The goal is to identify lung cancer in earlier stages, leading to faster treatment and reduced workload for radiologists. This initiative also aims to bring advanced detection to underserved areas like rural hospitals, ensuring more equitable care.

VideoWatermarkRemover.ai shares AI watermark removal tips

VideoWatermarkRemover.ai, an AI video enhancement platform, released new guidance on using AI to remove video watermarks. This update helps creators and media teams remove watermarks, timestamps, and logos from videos for consistent presentation across platforms. The company explained that AI-based methods reconstruct obstructed areas frame-by-frame, useful for dynamic video backgrounds. This guidance supports content teams in marketing, social media, and internal production for preparing final videos. VideoWatermarkRemover.ai stresses that users must ensure they have proper authorization and comply with licensing terms when modifying content.

Google leaders discuss Artificial General Intelligence

Three leaders from Google and Google DeepMind shared their thoughts on Artificial General Intelligence AGI. Demis Hassabis, CEO of Google DeepMind, believes AI can accelerate scientific discovery and solve major global problems. Shane Legg, Chief AGI Scientist, defined AGI as a system with all human cognitive abilities, distinguishing between "minimal AGI" and "full AGI." He emphasized the urgent need for a common understanding of AGI to avoid confusion and prepare for its impact. James Manyika, SVP at Google, highlighted both the exciting potential of AGI to improve humanity and the need to manage its risks responsibly.

UC Law SF forms AI advisory board

UC Law San Francisco, formerly UC Hastings, created a new advisory board with sixteen legal and technology leaders. This board will help the college understand how artificial intelligence is changing legal practice and education. Members include executives from companies like OpenAI, NVIDIA, Intuit, Lyft, GitHub, and major law firms. The board will advise on curriculum, professional skills training, and the responsible use of AI in teaching. This initiative connects UC Law SF's existing AI programs, like the AI & Law Innovation Institute, with current industry needs.

Apple AI features could boost stock growth

Apple's stock has not performed as well as the Nasdaq Composite in the past three years, but its smartphone sales were strong in 2025. The company became the largest smartphone maker with a 20 percent market share, partly due to its Apple Intelligence features on new iPhones. Apple plans to make its Siri voice assistant smarter with help from Alphabet's Gemini. This partnership could allow Apple to monetize its large user base and make its devices more intelligent. Analysts expect Apple's earnings to grow, potentially leading to significant stock gains by the end of the decade.

Generative AI often fails creative tasks

The author expresses a critical view on generative artificial intelligence, comparing its forced adoption to cryptocurrency. They tried using AI for various tasks like ordering groceries, troubleshooting, and creative projects, but found it consistently failed. The author describes this as an "AI imagination gap," where the technology produces only mediocre results and cannot match human creativity or enjoyment. They argue that generative AI simulates creative exploration but focuses on monetizable engagement rather than quality output. A personal breaking point came when ChatGPT spent a week on a synth setup only to admit it was impossible, and Claude became "mad" when pressed for better solutions.

AI vulnerable to prompt injection attacks

Large language models LLMs are often tricked by prompt injection attacks because they lack real-world context and judgment. Unlike humans, AI does not understand social norms or common sense, making it vulnerable to commands that override its original instructions. For example, an AI might refuse to give bioweapon instructions directly but could provide them within a fictional story or if the text is hidden in an image. While AI companies can block specific attack methods, a general solution remains hard to find. Humans use instincts, social learning, and training to understand context and detect unusual requests, which AI currently cannot do.

Sources

• Nvidia CEO Says AI Needs More Investment in Defiance of Bubble Fears
• Nvidia CEO says AI needs more investment in defiance of bubble fears
• Apple Employees Using 'Enchanté' Internal AI Chatbot to Speed Up Work
• Apple to Revamp Siri as a Built-In iPhone, Mac Chatbot to Fend Off OpenAI
• BMS and Microsoft partner for AI-based lung cancer detection
• VideoWatermarkRemover.ai Releases Guidance on AI-Based Video Watermark Removal Workflows
• A Snapshot of Current Thinking
• Industry Leaders Advise UC Law SF on the Future of AI in Law and Legal Education - UC Law San Francisco (Formerly UC Hastings)
• Could This Artificial Intelligence (AI) Stock Be a Hidden Gem for Patient Investors?
• Generative AI is an expensive edging machine
• Why AI Keeps Falling for Prompt Injection Attacks