Following two years of immense hype in 2023 and 2024, this year felt more like a settling-in period for the LLM-based token prediction industry. After more than two years of public fretting over AI models as future threats to human civilization or the seedlings of future gods, it's starting to look like hype is giving way to pragmatism: Today's AI can be very useful, but it's also clearly imperfect and prone to mistakes.
Ce sujet de discussion accompagne la publication sur https://arstechnica.com/ai/2025/12/from-prophet-to-product-how-ai-came-back-down-to-earth-in-2025/