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OpenAI CEO Sam Altman recently took to X to gauge what users want from the company in 2025. The most requested features (?) were AGI, AI agents, a "much better 4o upgrade," better memory capabilities, and longer context windows. Users also clamored for an "adult mode" that would dial back OpenAI's content moderation, along with enhanced research capabilities and improvements to the company's Sora videogenerator. One of these wishes - better memory - is already in testing, though OpenAI hasn't revealed any details about the underlying technology. Interestingly, Altman noted that many of the features OpenAI actually plans to release in 2025 barely made it onto users' wishlists - or didn't show up at all.

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When does it make sense to use AI agents instead of just prompts? Not very often, according to a new analysis from Anthropic. The AI company draws a clear line between workflows (where code orchestrates AI models and tools) and agents (which control their own processes independently).

While agents can handle complex, open-ended tasks, they also need more oversight and computing power. Anthropic suggests starting with basic prompts and only adding complexity when absolutely necessary. Though development frameworks can help teams get started with agents, simpler approaches often work better in production environments.

For teams considering AI agents, Anthropic recommends focusing on three key areas: keeping designs simple, making processes transparent, and carefully crafting user interfaces. The company sees the most potential for agents in customer service and software development tasks.

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