Recently robot in Korea committed sui#ide

https://youtu.be/DHyUYg8X31c?feature=shared

Wydt?

Does robot deserve rights? : 🤖

Does robot deserve rights? : 🤖- Grapevine

is this a joke?  Robot commits suicide😂😂😂

Software Developer

Why isn't AI cooking dinner for me when I get back from office 
Or doing my weekend laundry or clean the damn house

Why is that hell bent in getting me off job market?

Why are we building tech to endanger humanity?

Consultant

Welcome to News Discussion's Private Community

- China is pushing to mass-produce humanoid robots by 2025, with nearly 30 companies showcasing models in Beijing this week.
- Tesla plans to deploy 1,000 Optimus robots in factories next year, aiming to revolutionize EV production.
- The Chinese government supports the robotics industry with significant funding, including a $1.4 billion state-backed fund in Beijing.
- Analysts predict the global market for humanoid robots could reach $38 billion by 2035, with costs dropping significantly.
- Despite Tesla's early lead in AI, Chinese companies are rapidly iterating and reducing production costs. 

 Source: [Reuters](https://www.reuters.com/technology/chinas-robot-makers-chase-tesla-deliver-humanoid-workers-2024-08-23/)

China's Robot Makers Chase Tesla to Deliver Humanoid Workers

Journalist

Welcome to Indian Startups's Private Community

What problems would Indian and Global startups be solving in the next decade, or they would be just throwing random yearly new buzz words and as usual VCs would be having orgasms on these buzz words.

I mean real problems.

Startups of the coming age

Frontend Engineer

https://youtu.be/lUp5xKvGzDw?si=GVh3pdYnu2uwpVDS

Not sure of the authencity of the video. But look at the scale of use of tech.

China is ahead at AI/Robotics/Tech adoption

Product Manager

Welcome to Gadgets & Apps's Private Community

The Humane AI pin is... bad. Almost no one should buy it. Yet.

The Worst Product I've Ever Reviewed... For Now

Humane AI pin review- MKBHD entering his villain era!

Welcome to Software Engineers's Private Community

It’s clear that companies won’t need engineers 10 years from now. 

They’ll just need people who know what to make. Who to sell to. How to sell to. At what price. 

This will be the great commoditization of Software development

Take it or leave it.

[Hot Take] AI will make SWEs redundant, PMs and Marketers will become the most important job

Product Marketing Manager

Welcome to Office Gossip's Private Community

Not all heroes wear capes

UX/UI designer

Welcome to Data Scientists's Private Community

Octo: Generalist Robot Policy (Gen AI in Robotics)

Imagine a GPT for robots! That's what this paper is aiming for—a generalist robot that can perform a wide range of tasks. Right now, we have robots designed for specific, narrow tasks. This research is a step towards creating robots that can handle anything you throw at them

What’s a Generalist Robot Policy?

In simple terms, a policy is a neural network that decides what action a robot should take. It takes in observations (like text and images) and outputs control units.

Types of Control Units

1. Joint Control: The model specifies exactly what each joint should do (like the angle of an elbow).
2. End Effector: This is a fancy name for the gripper. The model outputs movement and rotation vectors for it.

The Process

1. Input: Task tokens (text), observation tokens (images), and readout tokens (a summary of task and observation tokens).
2. Output: Control units from the action head (a diffusion model).

Challenges

- Speed: Transformers are powerful but can be slow due to processing limitations. MLPs (Multi-Layer Perceptrons) can be faster but lack the generalization needed for different robots.
- Data: Currently, the available dataset is limited. However, with access to more data, we can expect these policies to become much more efficient.

In essence, this paper is pushing the boundaries in the field of robotics, aiming to create versatile robots capable of performing a wide array of tasks.


link to the paper:
https://arxiv.org/pdf/2405.12213

If you want me dive deeper,do let me know

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