Open Collective
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2023 Update
Published on January 4, 2024 by Andrey Kurenkov

We just published A Year in Review: 2023, which summarizes our activities well:

Here are some highlights:

Magazine

Newsletter

  • Our Update #49 covering fundamental limitations of alignment in LLMs, and regulatory divergence.
  • Our Update #52, discussing the ironies in pausing AI and fine-tuning LLMs without backpropagation.
  • Our Update #44, covering challenges for personal robotics and cheap methods for poisoning web-scale datasets.

Podcast

  • My conversation with Terry Winograd, a legendary pioneer in artificial intelligence, who built one of the first programs for natural language processing, among many other achievements. This conversation challenged how I think about some of AI’s more fundamental questions, and grounded a number of narratives and debates in AI’s history.
  • My conversation with Ken Liu, a brilliant science fiction author who has deeply considered what it is to be a technologist, and the back and forth between the technologies we build and the stories we tell—his science fiction has changed how I think about technology, and this conversation seriously impacted how I think about technology and our collective future.
  • My conversation with Sewon Min, a PhD student at the University of Washington whose thoughtful approach to language modeling pushed me to think more deeply about a number of phenomena.
  • Bonus (yes, I’m cheating): a review of the year’s AI progress, with Nathan Benaich, whose State of AI Report continues to provide an important service to the community."

We’re looking forward to 2024, and hope to continue delivering on why The Gradient started in the first place: AI is a world-changing technology, and discussions of its capabilities and implications need to be technically grounded; these discussions also require input from a variety of fields.