Pablo Delgado @pablete
Engineer, Mathematician, Computer Scientist pablodelgado.org San Francisco, CA Joined October 2007-
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@xieenze_jr bernini-ai.github.io please! ;)
@mamuso @cursor_ai vos si que sabés molar...
Very cool to see @netflix releasing video datasets and models on @huggingface. They have a strong video AI team and would be amazing to see them open-source more! huggingface.co/netflix
Data processing has become a GPU workload and is dominated by inference. A new architecture is required, and it is not Spark on GPUs. anyscale.com/blog/data-proc…
1/ World model research is fragmented: every paper reimplements its own data pipeline, baselines, and eval harness. Comparing two methods fairly is weeks of infra work. 𝘀𝘁𝗮𝗯𝗹𝗲-𝘄𝗼𝗿𝗹𝗱𝗺𝗼𝗱𝗲𝗹 is a new open-source platform that standardizes the whole thing: arxiv.org/abs/2605.21800
@changhiskhan @lancedb Fell for it. I realized this was the perfect day to release TurboQuant vector search in LanceDB ;) ( cc @eddyxu )
@javisantana ponle “acceleration boost” y tendras modo deportivo…
in case you missed it @lancedb and HF are partnering up to unlock the next generation of large dataset storage on the Hub 🔥 And it's fire! - Supports storing embeddings (and their indexes) directly alongside the data - Vector search / similarity search is built-in - Large multimodal datasets (text, images, video) just use the hf:// prefix: db = lancedb. connect("hf://datasets/julien-c/hub-stats-lance") 🔥🔥
@changhiskhan Another instance of Carcinisation ;)
@gptcrosa Dieter Rams inspired iPhone stand youtu.be/L3nWw8qSYgk
Most video models are silent. Most audio models don’t see. LTX-2 learns the joint distribution of sound and vision, generating speech, foley, ambience, motion, and timing together not as a post-hoc pipeline.
HiStream Meta AI researchers introduce an efficient autoregressive framework for 1080p video generation. By eliminating spatial, temporal, and timestep redundancy, HiStream achieves state-of-the-art quality with up to 107.5× speedup, making high-resolution video generation practical.
Lei Xu and Pablo Delgado of @netflix took the stage on Wednesday at Ray Summit 2025!
@netflix Our session is on Day 2, Nov 5 at 4pm. Check out the agenda here: anyscale.com/ray-summit/202…
We’ll walk through how Ray enables large-scale processing across hundreds of GPUs, while LanceDB’s columnar design provides efficient, intelligent curation and sampling. Together, they’re producing smaller, more diverse, and higher-quality datasets for cutting-edge text-to-image and video-to-text research.
Building and curating large-scale multimodal datasets has long been a complex, resource-heavy challenge. But that’s changing fast. Lei Xu of LanceDB and Pablo Delgado of @netflix will be speaking at Ray Summit 2025 — Scaling Multimodal Data Curation with Ray and LanceDB
Now this is a @lancedb feature to make @Noahpinion proud. Introducing RabitQ: better compression, better recall, faster index build, higher throughput. lancedb.com/blog/feature-r…
🥳 Welcome another #Lancelot at the Roundtable, Ethan Rosenthal 🎉 On Ethan’s first day at @runwayml , he was tasked with building a multimodal 𝗱𝗮𝘁𝗮 𝘀𝘆𝘀𝘁𝗲𝗺 𝘁𝗵𝗮𝘁 𝘀𝘂𝗽𝗽𝗼𝗿𝘁𝗲𝗱 𝗯𝗼𝘁𝗵 𝗱𝗶𝘀𝘁𝗿𝗶𝗯𝘂𝘁𝗲𝗱 𝗱𝗮𝘁𝗮𝗹𝗼𝗮𝗱𝗶𝗻𝗴 𝗮𝗻𝗱 𝗲𝘅𝗽𝗹𝗼𝗿𝗮𝘁𝗼𝗿𝘆 𝗱𝗮𝘁𝗮 𝗮𝗻𝗮𝗹𝘆𝘀𝗶𝘀. He said, “𝘛𝘩𝘢𝘵’𝘴 𝘢 𝘵𝘦𝘳𝘳𝘪𝘣𝘭𝘦 𝘪𝘥𝘦𝘢. 𝘠𝘰𝘶 𝘴𝘩𝘰𝘶𝘭𝘥 𝘯𝘦𝘷𝘦𝘳 𝘵𝘳𝘺 𝘵𝘰 𝘥𝘰 𝘵𝘩𝘪𝘴 𝘸𝘪𝘵𝘩 𝘰𝘯𝘦 𝘴𝘺𝘴𝘵𝘦𝘮!". He then found #Lance and did exactly what he said not to do. 😆
Welcome to Freepik Spaces A single place where ideas live, connected through real-time workflows Our CEO and CPO are presenting the future of Freepik live from Upscale Studios NYC Join the waitlist below
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