Artificial Intelligence - AI Update, June 28, 2024: AI News and Views
Catch up on select AI news and developments from the past week or so:
Google's Gemini 1.5 Pro Expands AI Context Window to 2M Tokens
Google announced a major update for Gemini 1.5 Pro, offering a 2 million token context window, capable of processing large datasets such as hours of video, audio, and extensive codebases. This update is now available to all developers. Additionally, Gemini 1.5 Flash enters general availability with a 1 million token context window, low latency, and competitive pricing. Google also unveils global availability of Gemma 2 and previews Imagen 3 for enhanced image generation.
Importance for marketers: This significant enhancement in AI processing capacity can revolutionize data analysis and content creation, offering new opportunities for marketing automation and insights.
Figma Introduces Major Redesign and AI Tools at Config Conference
Figma unveiled a significant UI redesign and new generative AI tools at its Config conference, enhancing user experience and project creation. The redesign includes a new toolbar, rounded corners, and 200 new icons. New AI features assist in project initiation and expedite small tasks. Figma also introduces Figma Slides for integrated presentation creation. The beta period runs through the end of the year with potential usage limits.
Importance for marketers: These updates streamline design processes, making it easier to create and present marketing materials efficiently.
OpenAI Delays Launch of ChatGPT Advanced Voice Mode
OpenAI delayed the release of its ChatGPT Advanced Voice Mode by one month to meet safety and real-time response standards. Initially planned for late June, early access is now expected next month, with a wider rollout following. The delay aims to improve content detection, user experience, and system scalability. This update is crucial for enhancing conversational AI capabilities.
Importance for marketers: Advanced Voice Mode can significantly enhance customer interactions and engagement in marketing campaigns by providing more natural and responsive AI communication.
Researchers Propose MatMul-Free AI Model for Efficiency
Researchers from UC Santa Cruz and collaborators have proposed a method to run AI language models without matrix multiplication, potentially reducing environmental impact and operational costs. Their 2.7 billion parameter model performs comparably to traditional models but with higher efficiency. The approach, detailed in a preprint paper, could revolutionize AI by making it more accessible and sustainable.
Importance for marketers: This innovation can lower costs and improve the sustainability of AI-driven marketing tools, making advanced AI capabilities more widely available.
Apple Rejects Meta's AI Partnership Proposal
Apple reportedly declined Meta's proposal to integrate its AI chatbot technology into Apple devices, according to Bloomberg. The rejection came months ago, and there have been no discussions since March. This decision highlights Apple's focus on developing its AI capabilities independently.
Importance for marketers: This rejection could influence the strategic direction of AI integration in consumer technology, impacting future marketing strategies and partnerships.
