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Flux 3 Action Tops RoboLab, but Large Companies Can't Use It in a Product

topicqueue.substack.com·1 pts·DISCURSIVE·
0

The Pi0-Fast Libero-10 Baseline Is 25 Points Low

topicqueue.substack.com·2 pts·DISCURSIVE·
0

Nvidia's Openness Promise Leaves Out Hosting, Gating and Licensing

topicqueue.substack.com·1 pts·DISCURSIVE·
1

Perceptron Ships 36B Robot Weights Under Apache-2.0

topicqueue.substack.com·2 pts·DISCURSIVE·
0

Model Success Rate May Count the Wrong Runs

topicqueue.substack.com·1 pts·DISCURSIVE·
0

RoboDojo Scores 32 of 34 Robot Policies Under 10% Success

topicqueue.substack.com·2 pts·DISCURSIVE·
0

Dyna-2: A Million Hours of Human Video, Zero Robot Frames

topicqueue.substack.com·1 pts·DISCURSIVE·
0

Gemini Robotics Released One Policy from Feet to Fingertips

topicqueue.substack.com·2 pts·DISCURSIVE·
0

5k Hours of Tactile Data, and Four Ways to Get It

topicqueue.substack.com·1 pts·DISCURSIVE·
0

Nvidia Puts a 4B World Model on the Robot [Weekly Physical AI Roundup]

topicqueue.substack.com·2 pts·DISCURSIVE·
0

Turning robot video into training-ready data

eventual.ai·2 pts·DISCURSIVE·
0

Xiaomi Opens a 38B World Model Built to Generate Robot Data

topicqueue.substack.com·4 pts·DISCURSIVE·
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Querying Physical AI Data with Daft

eventual.ai·1 pts·DISCURSIVE·
0

LeRobot v0.6.0 Adds World Models, Reward Models, and an Open GR00T

topicqueue.substack.com·1 pts·DISCURSIVE·
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A Push on Tactile Data, and a Warning That the Benchmark Was Leaking

topicqueue.substack.com·2 pts·DISCURSIVE·
0

Hours of Humanoid Teleop, Recorded in Real Homes

topicqueue.substack.com·3 pts·DISCURSIVE·
0

Knowledge curation (not search) is the AI big data problem

daft.ai·3 pts·DISCURSIVE·
0

Cutting LLM Batch Inference Time by Half with Dynamic Prefix Bucketing

daft.ai·2 pts·DISCURSIVE·
0

Agentic systems are just query engines for unstructured data

daft.ai·3 pts·DISCURSIVE·
0

Benchmark: Spark vs. Ray Data vs. Daft on Multimodal Workloads

daft.ai·1 pts·DISCURSIVE·
0

Show HN: Flotilla, the Distributed Engine for Multimodal Pipelines

daft.ai·2 pts·DISCURSIVE·
0

Profiling multimodal workloads: lessons from Daft

daft.ai·1 pts·DISCURSIVE·
0

Processing 24T tokens for LLM training with 0 crashes (what made it possible)

daft.ai·1 pts·DISCURSIVE·
0

We Hit 100% GPU Utilization–and Then Made It 3× Faster by Not Using It

daft.ai·17 pts·DISCURSIVE·
11

Elasticsearch Was Great, but Vector Databases Are the Future

thenewstack.io·16 pts·DISCURSIVE·
7

Have you faced any challenges of using Elasticsearch for vector search?

1 pts·DISCURSIVE·
0

BGE-M3 vs. Splade

zilliz.com·1 pts·DISCURSIVE·
0

Enhance information retrieval with learned sparse embeddings

zilliz.com·1 pts·DISCURSIVE·
0

The emerging trend of vector databases

zilliz.com·2 pts·DISCURSIVE·
0

The Future of Vector Database

zilliz.com·1 pts·DISCURSIVE·
0
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