Data Points
Nvidia promises to open source Run:ai. SALT inverts distillation by having a smaller model train a larger one. SWE-Gym offers new way to fine-tune coding agents. Llama put to work to recommend books on Scribd.
Data Points
SmallThinker builds a 3 billion parameter reasoning model. Alibaba cuts prices on its Qwen models. Google unveils the FACTS model benchmark. Smolagents orchestrates smaller open source agents.
Letters
Despite having worked on AI since I was a teenager, I’m now more excited than ever about what we can do with it, especially in building AI applications.
The Batch Newsletter
The Batch AI News and Insights: Despite having worked on AI since I was a teenager, I’m now more excited than ever about what we can do with it, especially in building AI applications.
Tech & Society
As we approach 2025, my greatest hope for AI is that it will enable prosocial platforms that promote empathy, understanding, and collaboration rather than division.
Machine Learning Research
In 2025, AI will have learned to see, it will be way smarter and more accurate, and it will start to do things on your behalf.
Machine Learning Research
Building a foundation model takes tremendous amounts of data. In the coming year, I hope we’ll enable models to learn more from less data.
Machine Learning Research
In 2025, I expect progress in training foundation models to slow down as we hit scaling limits and inference costs continue to rise.
Tech & Society
Last year, we saw an explosion of models that generate either video or audio outputs in high quality. In the coming year, I look forward to models that produce video clips complete with audio soundtracks including speech, music, and sound effects.
Tech & Society
Stability AI’s aim is to liberate artists of all trades from the repetitive, mechanical aspects of their work and help them spend the majority of their time on the creative side. So our highest hope for next year is that generative AI will help people to be more creative and productive.
Data Points
Want a sneak peek at AI’s resolutions for 2025? We’ve got you covered: Get less expensive. Hallucinate less often. Perform better at math. Clean up after myself. Use less energy. Save as many lives as I can.
Data Points
Genesis uses generative AI in a physics-based robotics/world platform. Qwen presents QVQ, an open language/vision model. ModernBERT updates BERT as a classic classifier/retrieval workhorse. CodeLLM switches between models depending on your language and query.