Futures Content Partnerships Quantumrun Foresight

The Quantumrun team shares actionable trend insights about auto-generated content redefining the entertainment industry, the increasing interest in small modular nuclear reactors, driverless taxis clogging up the streets of San Francisco, and the commercialization... The Screen Actors Guild (SAG) and over 11,000 film and television writers have recently gone on strike, voicing concerns over the use of generative AI in content creation and demanding higher pay. This situation mirrors the demands of the 1960s, where creators sought a share in revenue from the rise of TV. Today, AI-mediated user-generated content (UGC) could significantly reduce content creation costs, limiting the bargaining power of creatives. Platforms like Runway-2 can convert still images into video, while Fable Studio's SHOW-1 enables users to create derivative video content using large language and image diffusion models (in other words, this AI can write... SHOW-1’s episode generator prompt (Is the writing quality on par with Game of Thrones season 1 or season 8?

That is the question!) Generative AI is also changing content consumption. Some tools can now automatically adjust video resolution and orientation, depending on the device used. Meanwhile, OpenAI recently proved that GenAI can effectively moderate extreme content and comments, potentially offering a long-sought-after solution to Facebook and Twitter/X’s ongoing moderation headaches. Finally, YouTube is also experimenting with AI to auto-generate video summaries, providing quick overviews of videos. Once this tech is fully released into the market, it will allow search engines to finally understand what's inside videos, not just rely on titles and metadata.

This advancement means that soon, AI could find/search for specific video content based on its actual content, not just labels. This initiative joins other AI efforts by YouTube, such as quizzes for educational videos and AI-powered dubbing tools, and reflects the ongoing progress of new possibilities in video indexing, search, and content consumption. The Quantumrun team shares actionable trend insights about auto-generated content redefining the entertainment industry, the increasing interest in small modular nuclear reactors, driverless taxis clogging up the streets of San Francisco, and the commercialization... Spotify’s AI-DJ that provides personalized playlists (and, apparently, banter) is rolling out globally six months after its North American debut. And speaking of audio, Meta announced its generative AI for music composition called AudioCraft. France is increasing flight taxes to re-invest the money into railway construction.

The US Department of Energy is giving $1.2 billion to create regional centers to capture and store at least 1 million metric tons of carbon dioxide yearly to fight climate change. The Quantumrun team shares actionable trend insights about governments racing to establish domestically controlled AI, innovation potentially hitting a brick wall globally, brain implants that can change the lives of people with disabilities, and... China anticipates gasoline usage to peak this year, two years earlier than expected, due to the increased adoption of electric vehicles. Google launches Duet AI, officially embedding AI assistance into its Workspace, including Slides, Docs, and Sheets. Drug-resistant fungal infections are rising globally, and the medical community is far from prepared. OpenAI’s introduction of ChatGPT Enterprise could mean the company has completed training on GPT-5.

Any bets on a surprise December release? Helping your team use strategic foresight and innovation management to create future-ready business and policy solutions. Quantumrun Foresight believes understanding future trends will help your organization make better decisions today. Companies that actively invest in foresight capabilities experience: Collect inspiration from future trends to design new products, services, policies, and business models your organization can invest in today. Collect market intelligence about emerging trends happening in industries outside your team's area of expertise that may directly or indirectly impact your organization's operations.

The Quantumrun team shares actionable trend insights on why large language models are incompetent content creators, fears of generative AI’s dominant role in democratic elections, the future robot construction workers on the Moon, and... YouTube → Godzilla x Kong // X → Usher’s Super Bowl Performance // Reddit → The private jets that flew to the Super Bowl // TikTok → Mark Zuckerberg’s “review” of Vision Pro //... 💡 Watch Quantumrun’s trend videos on Linkedin & YouTube & Instagram & TikTok A 2024 study published in ArXiv highlighted a significant issue with the internet's content: a large portion is poorly translated into various languages, particularly those spoken in Africa and the Global South. This problem arises from machine translations (MT), which often produce lower-quality translations due to insufficient data for "low-resource" languages. The research, conducted by the Amazon Web Services AI lab, reveals that over half of the web's sentences have been translated into two or more languages, leading to concerns about the accuracy and reliability...

Meanwhile, researchers from AI startup Anthropic discovered that once large language models (LLMs) have been trained to exhibit deceptive behaviors, they may not be corrected through standard safety training methods.

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