Nitish

building robots @RobolabsAI

[Nitish @slick_mind]

Incredible

[AI Breakfast @AiBreakfast]

Wist Labs is working on the ability to replay memories by superimposing video into an Augmented Reality environment.

With enough training data, AI could potentially allow you to “continue” a memory, or play out an alternate ending to it.

[Nitish @slick_mind]

Today we are open-sourcing rbot - an end-to-end AMR simulation stack that make launching your ROS2 with Gazebo or Isaac sim as easy as three commands.

Try it today - https://t.co/o8sVRFhJn4

[Robolabs AI @RobolabsAI]

Introducing rbot, an open-source AMR simulation stack for ROS 2 Jazzy, Gazebo Harmonic, and Isaac sim.

Repo: https://t.co/3mV6d9tOXF
Demo: https://t.co/jdLuNtrKGa

We welcome your valuable feedback and contributions.

@OpenRoboticsOrg @ROSIndustrial

[Robolabs AI @RobolabsAI]

Newton Physics Engine: How NVIDIA, Google DeepMind & Disney Are Reshaping Sim-to-Real Robotics

Read out latest blog:
https://t.co/sRTFxNeLsb

[Robolabs AI @RobolabsAI]

Behind the scenes of a $500B robotic pizza delivery model.

Read part 2 of our Robotics Industry Analysis blog series:

https://t.co/qxPlicNISZ

[Robolabs AI @RobolabsAI]

iRobot filed for bankruptcy last week. Anki shut down overnight. Jibo became a paperweight. Three case studies reveal why $300M+ in funding wasn't enough.

Read our latest blog -

https://t.co/4Ud9TvkblI

[Nitish @slick_mind]

@cursor_ai It would be great if we can easily monitor cost right within the editor

[Nitish @slick_mind]

dropped out.

[Nitish @slick_mind]

@skooookum “Learn VIM” on mine

[Nitish @slick_mind]

@TheRealFergs I would like to use that mount with attribution, if possible. Do you mind sharing the model files? TIA

[Nitish @slick_mind]

When your insecurities talk

[Sheel Mohnot @pitdesi]

Zuck on the Apple Vision Pro

He's still got fire in him, love to see it

[Nitish @slick_mind]

@rabbit_hmi

[Whole Mars Catalog @wholemars]

AI is coming to kill us

[Nitish @slick_mind]

Live footage of me navigating my PhD

[Nitish @slick_mind]

And accidentally include src 🥲

[Audrow Nash @audrow]

If you know, you know.

[Yann LeCun @ylecun]

I've made that point before:
- LLM: 1E13 tokens x 0.75 word/token x 2 bytes/token = 1E13 bytes.
- 4 year old child: 16k wake hours x 3600 s/hour x 1E6 optical nerve fibers x 2 eyes x 10 bytes/s = 1E15 bytes.

In 4 years, a child has seen 50 times more data than the biggest LLMs.

1E13 tokens is pretty much all the quality text publicly available on the Internet. It would take 170k years for a human to read (8 h/day, 250 word/minute).

Text is simply too low bandwidth and too scarce a modality to learn how the world works.

Video is more redundant, but redundancy is precisely what you need for Self-Supervised Learning to work well.

Incidentally, 16k hours of video is about 30 minutes of YouTube uploads.

[Nitish @slick_mind]

@ProductHunt @obsdmd

[Tim Urban @waitbutwhy]

New year, new you

[Nitish @slick_mind]

@TheRealFergs Looks great! What camera module are you using up on the front?

[Nitish @slick_mind]

@JohnVial @TheRealFergs I believe patchwork++