AI's 2025 Hopes and Expectations

● AI-Assisted Coding and Prototyping: AI is making it easier and faster to build software prototypes, lowering the cost of software development and expanding the range of possible applications. AI-assisted coding is particularly effective for prototyping due to the relatively low context and integration requirements and the fact that reliability is not paramount in early testing. Tools are emerging that can help with both code generation and deployment.

● Generative AI for Creative Applications: Generative AI is expected to empower artists by freeing them from repetitive tasks and allowing them to focus on the creative aspects of their work. There is a hope that AI will enhance creativity and productivity across various fields.

● Video and Audio Generation: There is anticipated progress in models that generate video clips complete with audio, including speech, music, and sound effects. While initially these models may not match professional quality, they are expected to improve rapidly and offer users more control over the generated content. This technology has the potential to democratize cinematic creativity.

● General Intelligence and AI Agents: The concept of Artificial General Intelligence (AGI) has been achieved, with AI now capable of performing a wide range of tasks, which is expected to enable innovation across various sectors. There is a growing focus on AI agents that can work in the background to assist with daily tasks, providing context, and helping users learn. These agents may eventually fill roles currently held by humans or even create new roles.

● Data Efficiency in AI Models: There's a push to develop models that can learn more from less data, as current models require massive datasets for training. This is related to data curation, feature engineering, multimodality, interpretability, robustness, reasoning, and democratization of AI. It is believed that improved data efficiency is an indicator of broader progress in AI.

● AI Vision and Action: AI is learning to see and will become smarter and more accurate and will begin to take actions on behalf of users. AI can now integrate with software to co-browse and allow for two-way interaction, which could be as significant a breakthrough as voice was in 2024. The ability for AI to take actions marks a critical change, moving AI beyond just conversation to actively performing tasks.

● Prosocial AI: There is a hope that AI can be used to promote empathy, understanding, and collaboration, rather than division. AI systems should be designed to prioritize constructive discourse and mutual understanding over pure engagement metrics. There's a call for participatory and inclusive approaches to AI development and governance.