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๐ค Paid partnership ยท ๐ค Made with AI
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๐ค Paid partnership ยท ๐ค Made with AI
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D-Coder retweeted
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A robot completes an action.
But does it know the task is actually finished?
SenseNova-RoboRSI documents where embodied AI still fails: misjudging success, forgetting completed subtasks, undoing earlier progress, and struggling with irreversible mistakes.
The research is open here:
arxiv.org/abs/2610.22471
๐ค Paid partnership
We release the most comprehensive ๐ฒ๐บ๐ฝ๐ถ๐ฟ๐ถ๐ฐ๐ฎ๐น ๐๐๐๐ฑ๐ ๐ผ๐ณ ๐๐ฃ๐ง-๐ฒ-๐๐๐๐ฟ๐ฎโ๐ ๐ฒ๐บ๐ฏ๐ผ๐ฑ๐ถ๐ฒ๐ฑ ๐ถ๐ป๐๐ฒ๐น๐น๐ถ๐ด๐ฒ๐ป๐ฐ๐ฒ across 12 simulation benchmarks and 8 real-robot platforms, together with ๐ฆ๐ฒ๐ป๐๐ฒ๐ก๐ผ๐๐ฎ-๐ฅ๐ผ๐ฏ๐ผ๐ฅ๐ฆ๐: an open-source harness framework and a 27B model that runs at ~1/50 the cost of GPT-6-Astra.
Here's what we found:
๐น ๐ง๐ต๐ฒ ๐ฐ๐ฎ๐ฝ๐ฎ๐ฏ๐ถ๐น๐ถ๐๐ ๐ฐ๐ฒ๐ถ๐น๐ถ๐ป๐ด ๐ถ๐ ๐ฎ๐ฐ๐๐๐ฎ๐น๐น๐ ๐บ๐๐ฐ๐ต ๐ต๐ถ๐ด๐ต๐ฒ๐ฟ. Under a unified protocol (ICL + up to 10ร the interaction budget), GPT-6-Astra achieves clear SOTA across all 12 benchmarks: RoboDojo: 27.6% at 1ร โ 81.9% at 10ร, DexJoCo: 87.3% vs. 40.3% prior SOTA, while the LIBERO benchmarks are pushed to saturation.
๐น ๐ง๐ผ๐ผ ๐บ๐๐ฐ๐ต ๐ฏ๐๐ฐ๐ธ ๐ณ๐ผ๐ฟ ๐๐ต๐ฒ ๐ฏ๐ฎ๐ป๐ด. Even a simple task like placing pens in a holder costs ~$55 in inference.
๐น ๐ง๐ต๐ฒ ๐๐ผ๐ฟ๐น๐ฑ ๐ฑ๐ผ๐ฒ๐๐ปโ๐ ๐๐ฎ๐ถ๐. Time matters as real robots overheat, and an egg burned while the model was still thinking.
Our takeaway: GPT-6-Astra has largely crossed the threshold of ๐ฒ๐บ๐ฏ๐ผ๐ฑ๐ถ๐ฒ๐ฑ ๐ฐ๐ผ๐บ๐ฝ๐ฒ๐๐ฒ๐ป๐ฐ๐ฒ, but ๐ฝ๐ฟ๐ฎ๐ฐ๐๐ถ๐ฐ๐ฎ๐น ๐ฒ๐บ๐ฏ๐ผ๐ฑ๐ถ๐ฒ๐ฑ ๐ถ๐ป๐๐ฒ๐น๐น๐ถ๐ด๐ฒ๐ป๐ฐ๐ฒ is not here yet.
๐ Project page: sensenova.ai/has-gpt-6-astraโฆ
๐ Report: sensenova.ai/gpt-6/assets/doโฆ
๐ป Code & model: github.com/OpenSenseNova/Senโฆ
D-Coder retweeted
12 simulation benchmarks.
8 real robot platforms.
One open-source embodied AI harness.
Dockerized environments. Unified HTTP API. Interchangeable models and policies. Plus a 27B preview model.
Technical report: arxiv.org/abs/2610.22471
๐ค Paid partnership
We release the most comprehensive ๐ฒ๐บ๐ฝ๐ถ๐ฟ๐ถ๐ฐ๐ฎ๐น ๐๐๐๐ฑ๐ ๐ผ๐ณ ๐๐ฃ๐ง-๐ฒ-๐๐๐๐ฟ๐ฎโ๐ ๐ฒ๐บ๐ฏ๐ผ๐ฑ๐ถ๐ฒ๐ฑ ๐ถ๐ป๐๐ฒ๐น๐น๐ถ๐ด๐ฒ๐ป๐ฐ๐ฒ across 12 simulation benchmarks and 8 real-robot platforms, together with ๐ฆ๐ฒ๐ป๐๐ฒ๐ก๐ผ๐๐ฎ-๐ฅ๐ผ๐ฏ๐ผ๐ฅ๐ฆ๐: an open-source harness framework and a 27B model that runs at ~1/50 the cost of GPT-6-Astra.
Here's what we found:
๐น ๐ง๐ต๐ฒ ๐ฐ๐ฎ๐ฝ๐ฎ๐ฏ๐ถ๐น๐ถ๐๐ ๐ฐ๐ฒ๐ถ๐น๐ถ๐ป๐ด ๐ถ๐ ๐ฎ๐ฐ๐๐๐ฎ๐น๐น๐ ๐บ๐๐ฐ๐ต ๐ต๐ถ๐ด๐ต๐ฒ๐ฟ. Under a unified protocol (ICL + up to 10ร the interaction budget), GPT-6-Astra achieves clear SOTA across all 12 benchmarks: RoboDojo: 27.6% at 1ร โ 81.9% at 10ร, DexJoCo: 87.3% vs. 40.3% prior SOTA, while the LIBERO benchmarks are pushed to saturation.
๐น ๐ง๐ผ๐ผ ๐บ๐๐ฐ๐ต ๐ฏ๐๐ฐ๐ธ ๐ณ๐ผ๐ฟ ๐๐ต๐ฒ ๐ฏ๐ฎ๐ป๐ด. Even a simple task like placing pens in a holder costs ~$55 in inference.
๐น ๐ง๐ต๐ฒ ๐๐ผ๐ฟ๐น๐ฑ ๐ฑ๐ผ๐ฒ๐๐ปโ๐ ๐๐ฎ๐ถ๐. Time matters as real robots overheat, and an egg burned while the model was still thinking.
Our takeaway: GPT-6-Astra has largely crossed the threshold of ๐ฒ๐บ๐ฏ๐ผ๐ฑ๐ถ๐ฒ๐ฑ ๐ฐ๐ผ๐บ๐ฝ๐ฒ๐๐ฒ๐ป๐ฐ๐ฒ, but ๐ฝ๐ฟ๐ฎ๐ฐ๐๐ถ๐ฐ๐ฎ๐น ๐ฒ๐บ๐ฏ๐ผ๐ฑ๐ถ๐ฒ๐ฑ ๐ถ๐ป๐๐ฒ๐น๐น๐ถ๐ด๐ฒ๐ป๐ฐ๐ฒ is not here yet.
๐ Project page: sensenova.ai/has-gpt-6-astraโฆ
๐ Report: sensenova.ai/gpt-6/assets/doโฆ
๐ป Code & model: github.com/OpenSenseNova/Senโฆ
D-Coder retweeted
Okay, this is where the world-model argument starts to make sense.
The deep learning pioneers from Maluuba are back solving one of the biggest problems in the industry. They unveiled SKY-001, the first engineering world model.
SKY-001 isnโt just generating something that looks 3D.
It simulates different designs, breaks the object down into parts and sub-assemblies, works through the hierarchy, then rebuilds it into something that can actually open in CAD.
Plus, the results compared to frontier LLMs are hard to ignore, including claims of being 150x cheaper and faster.
That feels much closer to how real engineering work happens.
With this release, theyโre also building toward autonomous manufacturing and reimagining what manufacturing firms could look like.
If this approach keeps scaling beyond CAD and BIM, the interesting question wonโt be โwhich LLM is better?โ
Itโll be whether some of these long-horizon problems should be solved with a completely different kind of model.
Introducing SKY-001, the first Engineering World Model.
On CAD and BIM tasks, it beats GPT-6 Astra and every frontier model we tested:
-> 51-125x faster
- > 150-210x cheaper
-> Higher IOU than all frontier models
SKY-001 lets you dream a physical object before you build it.
18 months of work. Built by the team out of Maluuba's deep learning lab (acq. by @MSRResearch).
The first โAI General Engineerโ will be the backbone for Autonomous Manufacturing.