𝔗𝔥𝔢 𝔡𝔢𝔳𝔦𝔩 𝔬𝔫 𝔶𝔬𝔲𝔯 𝔰𝔥𝔬𝔲𝔩𝔡𝔢𝔯🥀

PLUR

[Democrats Deliver @DemzDeliver]

🚨 BREAKING: Greg Abbott has officially no-showed to a debate with Democrat Gina Hinojosa outside his mansion.

"If Greg Abbott is not man enough to debate me then he isn’t man enough to be the Governor of Texas”

[RoboStrategy @RoboStrategy]

The first AI robot to ring the bell on Nasdaq

[Morgan J. Freeman @mjfree]

This is called election interference and it’s illegal.

[Adam Mockler @adammocklerr]

What are Republicans even about bro

[Dyna Robotics @DynaRobotics]

We are releasing Dyna-2.1, the first Physical Agent that achieves reliable super long-horizon whole-body autonomy. It combines our brand-new semi-humanoid hardware with an agentic system built around Dyna-2 to handle ultra-long real-world workflows.

Here is an uncut footage of Dyna-2.1 completing an entire hour-long laundry room workflow, just like a human does.

[JOHNSON @AlayeCodes]

@pubity When supermarkets sue to block affordable food they admit their prices are the real problem.

[Sicko Slayer @AEWAwfulness]

I drafted Ja’Marr Chase with the 3rd overall pick.

[CapitánChupameLosHuevos @Ze1ooooo]

If an illegal immigrant can afford a house and you can’t

Well, you’re a fucking loser 😂😂

[𝔗𝔥𝔢 𝔡𝔢𝔳𝔦𝔩 𝔬𝔫 𝔶𝔬𝔲𝔯 𝔰𝔥𝔬𝔲𝔩𝔡𝔢𝔯🥀 @yungkeer]

@DynaRobotics Awesome!

[𝔗𝔥𝔢 𝔡𝔢𝔳𝔦𝔩 𝔬𝔫 𝔶𝔬𝔲𝔯 𝔰𝔥𝔬𝔲𝔩𝔡𝔢𝔯🥀 @yungkeer]

Coming to your city soon!

[Dyna Robotics @DynaRobotics]

After so many demos, models, pilots, robots are still struggling to land real deployments with real customers. Until now.

Today we’re excited to share that our robots have successfully crossed the ROI threshold, and Din Tai Fung, one of the highest revenue per location restaurant chain in the US, is rolling out Dyna robots across its extensive restaurant network.

This brings our rollouts across hotels, logistics, data centers, and many other use cases to a fleet that reaches hundreds of robots by the first half of 2027. And we’re just getting started.

It’s been a wild year, and today we’re double clicking on the battlefield stories and sharing a few learnings about scaling robot deployments. We are just scratching the surface.

Read the full blog post: https://t.co/8QVEoQuzBY

[Dyna Robotics @DynaRobotics]

After so many demos, models, pilots, robots are still struggling to land real deployments with real customers. Until now.

Today we’re excited to share that our robots have successfully crossed the ROI threshold, and Din Tai Fung, one of the highest revenue per location restaurant chain in the US, is rolling out Dyna robots across its extensive restaurant network.

This brings our rollouts across hotels, logistics, data centers, and many other use cases to a fleet that reaches hundreds of robots by the first half of 2027. And we’re just getting started.

It’s been a wild year, and today we’re double clicking on the battlefield stories and sharing a few learnings about scaling robot deployments. We are just scratching the surface.

Read the full blog post: https://t.co/8QVEoQuzBY

[D’andre Williams @willlumz]

They clapped. He openly just admitted that he failed one of his biggest campaign promises….and they clapped.

[Dyna Robotics @DynaRobotics]

When people talk about robotics, they usually talk about models, data, or hardware. Few people talk about the infrastructure that lets you iterate on all three quickly. Today we're publishing how we trained Dyna-2 on over 1,000,000 hours of egocentric video, repeatably. At this scale, most of what worked at ten thousand hours did not hold up:

• ingestion throughput was capped at 14,000 episode-hours per week — a million hours would have taken over a year
• building a training manifest took 48 hours before a run could even start
• reading a petabyte from cloud storage during training left GPUs exposed to latency and packet loss

🧵

[Ted Xiao @xiao_ted]

The threshold has been crossed for for robot pretraining on 1 million hours of egocentric data! One of the most thorough and impressive scaling law works so far. I enjoyed the offline metric to real-world performance results (of course as usual, a lot more to do as a field) 🚀

[Andrew Kang @Rewkang]

Dyna just dropped a world model for robotics achieving a new record for scale of pretraining using human video data - 1 million hours

This is 2 orders of magnitude larger than NVIDIA's Egoscale dataset (~20k hours)

They established scaling laws parallel to the scaling laws identified in GPT-3. Pretraining on more human video data increased robot performance and generalization across 4 orders of magnitude

Most importantly, the scaling fit power laws with no plateau

[Eric Jang @ericjang11]

Congratulations to the @DynaRobotics team. This is probably my favorite "scaling laws for robots" blog post so far. I hope that it *does not* remain my favorite, and that the community continues to raise the bar further.

Next phase: robot brain companies start to expose inference endpoints or remote "ask me anything" sessions to test out their model on their robot.

My favorite part of this blog post is that it provides enough detail that the result could be reproduced by an external lab (1M hours egocentric data is quite obtainable). They even evaluated on setups that any lab could buy (ABC-style bimanual YAM).

Robotics is entering a scale-up era. The scale of investment is very serious, and so warrants serious rigor when companies make claims about models that only they can verify. Otherwise, we risk vaporizing billions of VC dollars underwritten by self-reported evaluations of capabilities.

[Dyna Robotics @DynaRobotics]

Today we are introducing Dyna-2, a world-action model pre-trained on one million hours of human video. At this scale, for the first time, we discovered several new scaling laws:

• world-action models exhibit scaling law on human data across four orders of magnitude, from 1000 to 1,000,000 hours,
• this human data scaling law implied a scaling law on never seen robot data,
• both data and objective matter; world modeling and scaling on video data are essential for cross-embodiment scaling transfer to emerge

🧵

[Dyna Robotics @DynaRobotics]

A new breakthrough is coming. Stay tuned.

[Shafeeq @Y2SHAF]

Seeing actual good news for once doesn't even feel real. I wish we saw stuff like this every day