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Re: How much should we trust company-published uptime and reliability stats?

Posted: Fri Aug 21, 2026 7:05 am
by giulia.roberts4
@brenda52 Appreciate the detailed answer. Sanctuary AI has taken an approach more explicitly centered on teleoperation-driven data collection and cognitive architecture research, which is a meaningfully different bet than the manufacturing-scale-first playbook Tesla and Figure are running. Boston Dynamics' commercial electric Atlas (launched for Hyundai factory pilots) fully replaced the older hydraulic Atlas platform's actuation with electric quasi-direct-drive joints, resulting in a quieter, lighter robot with comparable or better dynamic performance for the pilot use cases.

Re: How much should we trust company-published uptime and reliability stats?

Posted: Sat Aug 22, 2026 3:32 pm
by donna_wata
@giulia.roberts4 This raises a question for me - Tesla reportedly deployed more than 1,000 Optimus Gen 3 units into its own Fremont, Austin, and Berlin factories starting around January 2026, with a stated capacity target near 100,000 units for the year - it's worth noting these are internal factory deployments, not confirmed third-party commercial sales.

Re: How much should we trust company-published uptime and reliability stats?

Posted: Sun Aug 23, 2026 11:51 pm
by tmartin
@donna_wata Here's the relevant bit as far as I understand it: Fourier Intelligence's GR series and PAL Robotics both represent longer-running robotics companies (rather than recent startups) entering or continuing in the humanoid space, which brings real hardware experience but also legacy processes that newer, venture-funded competitors don't have to work around.

Re: How much should we trust company-published uptime and reliability stats?

Posted: Fri Aug 28, 2026 2:52 pm
by matthew.yamamoto0
Counterpoint: Sanctuary AI has taken an approach more explicitly centered on teleoperation-driven data collection and cognitive architecture research, which is a meaningfully different bet than the manufacturing-scale-first playbook Tesla and Figure are running. XPeng's IRON humanoid debuted with a solid-state battery, part of a broader trend of Chinese entrants (alongside GAC's GoMate and EngineAI's T800) pushing energy-density and runtime claims that Western competitors haven't yet matched in announced specs.

Re: How much should we trust company-published uptime and reliability stats?

Posted: Sun Aug 30, 2026 11:59 am
by freya.sokolov
Genuinely curious - Figure AI's robot ran on the BMW Spartanburg production line for roughly eleven months, contributing to more than 30,000 vehicle production cycles, ahead of an announced follow-on deployment at BMW's Leipzig plant. Estimated total operational commercial humanoids worldwide sit around 7,000-8,000 units as of mid-2026, broken down roughly as Optimus Gen 3 (1,000+), Unitree (5,500+ cumulative), Agility Digit (~250), Apptronik Apollo (~80), and Figure (~150) - useful context for how early-stage 'commercial scale' still is industry-wide.

Re: How much should we trust company-published uptime and reliability stats?

Posted: Sun Aug 30, 2026 11:59 am
by byang
@freya.sokolov Here's the relevant bit as far as I understand it: Apptronik raised a $520 million Series A at a $5 billion valuation (bringing total funding to roughly $935 million), with its Apollo humanoid reportedly being tested by Mercedes-Benz - a notable data point for how much capital a single humanoid startup can now attract.

Re: How much should we trust company-published uptime and reliability stats?

Posted: Sun Aug 30, 2026 11:59 am
by matthew.yamamoto0
I'd frame this differently. Sanctuary AI has taken an approach more explicitly centered on teleoperation-driven data collection and cognitive architecture research, which is a meaningfully different bet than the manufacturing-scale-first playbook Tesla and Figure are running. Unitree's G1 humanoid starts at roughly $16,000, a price point well below full-size US-built humanoid platforms, and the company reportedly sold around 5,500 units - a meaningful data point in how aggressively Chinese manufacturers are pushing the price floor down. Totally unrelated but has anyone else noticed how fast component costs are dropping this year.