Letters
In last week’s issue of The Batch, Yoshua Bengio, Alon Halevy, Douwe Kiela, Been Kim, and Reza Zadeh shared their hopes for AI in 2023. I also asked people on LinkedIn and Twitter about their hopes for AI this year. Rather than...
Interviews & Essays
The important question of how companies and organizations use our data has received a lot of attention in the technology and policy communities. An equally important question that deserves more focus in 2023 is how...
Letters
As we enter the new year, let’s view 2023 not as a single year, but as the first of more in which we will accomplish our long-term goals. Some results take a long time to achieve, and even though...
Interviews & Essays
As we enter the new year, there is a growing hope that the recent explosion of generative AI will bring significant progress in active learning. This technique, which enables machine learning systems to generate their own training examples and request them to be labeled...
Interviews & Essays
It’s an exciting time for AI, with fascinating advances in generated media and many other applications, some even in science and medicine. Some folks may dream about what more AI can create and how much bigger models we may engineer.
Interviews & Essays
This year we really started to see the mainstreaming of AI. Systems like Stable Diffusion and ChatGPT captured the public imagination to an extent we haven’t seen before in our field.
Interviews & Essays
Recent advances in deep learning largely have come by brute force: taking the latest architectures and scaling up compute power, data, and engineering. Do we have the architectures we need, and all that remains is to develop better hardware and datasets so we can keep...
The Batch Newsletter
The Batch - AI News & Insights: As we enter the new year, let’s view 2023 not as a single year, but as the first of more in which we will accomplish our long-term goals. Some results take a long time to achieve...
Letters
As the winter holiday approaches, it occurs to me that, instead of facing AI winter, we are in a boiling-hot summer of AI.
Multimodal
Individual deep learning models proved their mettle in hundreds of tasks. The scope of multi-task models expanded dramatically in the past year.
Tech & Society
Researchers pushed the boundaries of language models to address persistent problems of trustworthiness, bias, and updatability.
Tech & Society
Work on vision transformers exploded in 2022. Researchers published well over 17,000 ViT papers during the year. A major theme: combining self-attention and convolution.