As reported by Xinzhiyuan on January 1, Meta's researcher Martin Signoux made 8 predictions for AI in 2024: 1. Artificial intelligence smart glasses have become a trend. With the rise of multimodal technology, leading AI companies will redouble their efforts to develop AI wearables. What could be better than a glasses form factor to host an AI assistant? 2. ChatGPT is to AI assistants what Google is to search. In 2023, ChatGPT is starting to shine, with Bard, Claude, Llama, Mistral, and thousands of spin-offs coming out one after another. As productization continues to advance, ChatGPT will no longer be the only reference standard in this field, and its valuation will also face revision. 3. Goodbye to large model models, hello multimodal models. LMMs will continue to emerge and replace LLMs in the debate over multimodal evaluation, multimodal safety, multimodal this, multimodal that. In addition, LMM is a stepping stone towards a true general AI assistant. 4. No major breakthroughs, but improvements on all fronts. The new model will not lead to a real breakthrough (GPT-5), LLMs are still limited in nature, and are prone to hallucinations. We won't see any leaps that make them reliable enough in 2024 to "solve the basic AGI." 5. Small models (SLMs) are already emerging, but cost-effectiveness and sustainability considerations will accelerate this trend. Quantitative technology will also be greatly improved, thereby driving a wave of device integration for consumer services. 6. The Open Source model defeated GPT-4, and the battle between Open Source and closed gradually subsided. Looking back at the vitality and progress of the Open Source community over the past 12 months, it's clear that the Open Source model will soon close the performance gap. 7. Benchmarks remain a challenge. Benchmark, leaderboard, or evaluation tools are a one-stop shop for model evaluation. Instead, we will see a series of improvements (such as HELM) and new initiatives (such as GAIA), especially in terms of multimodality. 8. The risks that exist are not much discussed compared to the existing ones. While X-risk makes headlines in 2023, public discussion will focus more on existing risks and controversies related to bias, fake news, user safety, election integrity, and more.