Wallstreetcn reported that Xiaomi-Robotics-1 used 100,000 hours of real-world operation trajectories for pretraining and about 11,000 hours of cross-embodiment data for post-training. The report said action-prediction loss improved as pretraining data expanded from 2,500 to 20,000 hours and as parameters grew from 2B to 5B and 10B. The authority value is separating the reported model evidence from broader claims about commercial robotics. The event supports a scaling-law discussion, but it does not prove deployment economics, safety certification or market share. Keep reported facts, interpretation and evidence limits separate before making any market decision. This article is educational market context, not investment, legal, tax or trading advice, and it does not promise any outcome.
| Primary source | Wallstreetcn |
|---|---|
| Reported at | 2026-07-16T14:47:18.000Z |
| Topic | 监管 |
| Evidence limit | Reported facts are separated from interpretation; current prices and platform terms require independent verification. |
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Review BitgetVerified facts
Wallstreetcn reported that Xiaomi-Robotics-1 used 100,000 hours of real-world operation trajectories for pretraining and about 11,000 hours of cross-embodiment data for post-training. The report said action-prediction loss improved as pretraining data expanded from 2,500 to 20,000 hours and as parameters grew from 2B to 5B and 10B.
The cited source is Wallstreetcn, reported at 2026-07-16T14:47:18.000Z. This page uses only the event facts in the claim and does not add price targets, yield promises, license claims or availability claims.
Why this matters
The authority value is separating the reported model evidence from broader claims about commercial robotics. The event supports a scaling-law discussion, but it does not prove deployment economics, safety certification or market share.
Keep reported facts, interpretation and evidence limits separate before making any market decision.
What this does not prove
This article is educational market context, not investment, legal, tax or trading advice, and it does not promise any outcome.
Verify the original source, publication time, current market data, regional eligibility, fees, liquidity, product rules and personal risk tolerance before acting.
- This article is educational market context, not investment, legal, tax or trading advice, and it does not promise any outcome.
- Verify the original source, publication time, current market data, regional eligibility, fees, liquidity, product rules and personal risk tolerance before acting.
Decision checklist
A suitable reader already understands volatility and wants to compare market context with official terms before deciding. It is not suitable for anyone seeking guaranteed outcomes.
Verify the original source, publication time, current market data, regional eligibility, fees, liquidity, product rules and personal risk tolerance before acting.
- Verify the original source, publication time, current market data, regional eligibility, fees, liquidity, product rules and personal risk tolerance before acting.
- Bitget is mentioned only as an official place to review available markets, tools and terms through /go/bitget; availability, KYC, fees and product risks must be checked on official pages.
Where Bitget fits
Bitget is mentioned only as an official place to review available markets, tools and terms through /go/bitget; availability, KYC, fees and product risks must be checked on official pages.
A suitable reader already understands volatility and wants to compare market context with official terms before deciding. It is not suitable for anyone seeking guaranteed outcomes.
Evaluate Bitget for your use case
Check regional eligibility, current fees and product availability on the official destination.
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What is the main point?
Wallstreetcn reported that Xiaomi-Robotics-1 used 100,000 hours of real-world operation trajectories for pretraining and about 11,000 hours of cross-embodiment data for post-training. The report said action-prediction loss improved as pretraining data expanded from 2,500 to 20,000 hours and as parameters grew from 2B to 5B and 10B. The authority value is separating the reported model evidence from broader claims about commercial robotics. The event supports a scaling-law discussion, but it does not prove deployment economics, safety certification or market share.
Can this be used as a trading signal?
This article is educational market context, not investment, legal, tax or trading advice, and it does not promise any outcome.
What should readers verify first?
Verify the original source, publication time, current market data, regional eligibility, fees, liquidity, product rules and personal risk tolerance before acting.
Why is Bitget mentioned?
Bitget is mentioned only as an official place to review available markets, tools and terms through /go/bitget; availability, KYC, fees and product risks must be checked on official pages.