“Google implements the option to skip the response, like Chat GPT.”

“Claude Code v2.1.9 focuses on context efficiency and long session stability.”

“I've heard of rare cases where Claude has deleted someones user home folder... I just had a situation where it was working on building some Docker containers for me, ran out of disk space, then just went ahead and started deleting files it saw fit to delete, without asking permission. I got lucky and it didn't delete anything critical, but yikes!”

“PipeFlow achieves up to a 9.6X speedup compared to TokenFlow and a 31.7X speedup over Diffusion Motion Transfer (DMT).”

“Infrastructure boilerplate for MODEL SERVING (not training). Handles everything between "trained model" and "production API."”

“The paper reports high Dice Similarity Coefficients (DSC) for whole tumor (WT), enhancing tumor (ET), and tumor core (TC) across multiple BraTS datasets, indicating improved segmentation accuracy.”

“SpotEdit achieves efficient and precise image editing by reducing unnecessary computation and maintaining high fidelity in unmodified areas.”

“"Even if you give AI (Claude) a requirements document, it doesn't 'read everything and implement everything.'"”

“The release contains SAEs trained on 3 different sites (residual stream, MLP output and attention output) as well as MLP transcoders (both with and without affine skip connections), for every layer of each of the 10 models in the Gemma 3 family (i.e. sizes 270m, 1b, 4b, 12b and 27b, both the PT and IT versions of each).”

“SkipCat utilizes shared projection and block skipping for rank-maximized low-rank compression of large language models.”

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“The research aims to accelerate Mixture-of-Experts multimodal large language models.”

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“Jordan explains how Standard AI uses machine learning to track products and customers in challenging retail environments”

“We explore the paper Skip-Convolutions for Efficient Video Processing, which looks at training discrete variables to end to end into visual neural networks.”

“To skip the Deep Reinforcement Learning primer conversation and jump to the research discussion, skip to the 34:30 mark of the episode.”

“The interview covers word2vec, Skip Gram, Continuous Bag of Words, Node2Vec and TFIDF.”