Nested Learning: A new ML paradigm for continual learning(research.google)

134 points by themgt 10 months ago | 10 comments

Deciphering language processing in the human brain through LLM representations(research.google)

179 points by Korling 1 year ago | 79 comments

Accelerating scientific breakthroughs with an AI co-scientist(research.google)

333 points by Jimmc414 1 year ago | 178 comments

Google Research blog post introducing an AI co-scientist, a multi-agent system that generates and refines research hypotheses to help scientists.

TurboQuant: Redefining AI efficiency with extreme compression(research.google)

495 points by ray__ 7 months ago | 134 comments

Google Research blog post introducing TurboQuant, a method for extreme compression to improve AI model efficiency.

Coral NPU: A full-stack platform for Edge AI(research.google)

141 points by LER0ever 1 year ago | 24 comments

2023: A year of groundbreaking advances in AI and computing(blog.research.google)

40 points by jithinraj 2 years ago | 33 comments

TurboQuant: Redefining AI efficiency with extreme compression(research.google)

495 points by ray__ 7 months ago | 134 comments

Google Research blog post introducing TurboQuant, a method for extreme compression to improve AI model efficiency.

Gemma 3 QAT Models: Bringing AI to Consumer GPUs(developers.googleblog.com)

571 points by emrah 1 year ago | 259 comments

Google Developers Blog post announcing Gemma 3 models trained with quantization-aware training so they can run on consumer GPUs.

AI has access to a vastly larger working memory than the human brain(davidepiffer.com)

524 points by rzk 2 months ago | 452 comments

A Substack essay by Davide Piffer arguing that AI's edge over mathematicians comes from a vast symbolic working memory rather than superior reasoning.

OpenAI, Google and Anthropic are struggling to build more advanced AI(bloomberg.com)

553 points by lukebennett 1 year ago | 534 comments

Bloomberg article reporting that OpenAI, Google and Anthropic are seeing diminishing returns in building more advanced AI models.

Building Meta's GenAI infrastructure(engineering.fb.com)

636 points by mootpt 2 years ago | 291 comments

Meta engineering blog post describing its large GPU training clusters for generative AI, including RDMA and InfiniBand networking, Grand Teton hardware, and storage.

Google is winning on every AI front(thealgorithmicbridge.com)

847 points by vinhnx 1 year ago | 687 comments

A paid Algorithmic Bridge Substack post by Alberto Romero arguing that Google is ahead of OpenAI and Anthropic across every front of AI.