[GUIDE] make your own robot arm

Hey there! Adam here from Albus.

It is crazy how AI played a big part in it,

This week in AI

1. Law student fails exam due to AI-generated answers: who is to be blamed??

2. Google AI Detects First-Ever 0-Day Threat: Is Your Data Safe?

3. Is ChatGPT Search a Google Killer?: not yet but who knows

AD

Your Digital Twin, Proxy

• Your personal digital clone for low value tasks

• Gets smarter as you give it commands to learn

• The first truly general AI Agent

Meet your Proxy here

The $120 Robot Arm That Cleans..

Here's something pretty interesting - two researchers from UC Berkeley and ETH Zurich just showed that you don't need deep pockets to get into robotics.

The cool part?

The whole thing took just four days to program.

Using about 100 demonstrations, they trained the robot to understand visual cues and interact with humans. It's kind of wild to think about - most DIY projects take longer than that to even get started.

Most robot arms you see in labs or industrial settings cost thousands of dollars, so building something functional for $120 is pretty significant.

And if you're curious about making one yourself, The Robot Studio has shared the build plans on YouTube (link).

This feels like one of those moments that might look obvious in hindsight - combining affordable hardware with powerful AI to create accessible robotics.

Sure, it's just cleaning spills now, but it's a pretty solid proof of concept for what's possible with limited resources and some clever programming. It'll be interesting to see what people do with this.

When you put capable tools in more hands, you often get some surprising innovations.

Below is a mystery button and def not a scam xD

We have tested the strength of the popular AI models on a single prompt to check who performed the best and do we have a winner? Do we not? Are all bad?

Science vs AI: Who Wins?

Remember when catching scientific fraud was about spotting badly photoshopped images? Those were simpler times.

Now we've got AI creating scientific images so perfect, even the experts are scratching their heads.

The Current State

Jana Christopher, an image integrity analyst at FEBS Press, notes that the scientific community is getting increasingly concerned about how easy it's becoming to create fake data that looks legitimate.

While AI assistance in writing text might be acceptable (within reason), using it to generate actual scientific data crosses a line that many, including image-forensics specialist Elisabeth Bik, aren't willing to accept.

Why It's Tricky

The challenge lies in detection.

Traditional image manipulation used to leave traces that integrity specialists could spot. However, AI-generated images are proving to be nearly perfect forgeries:

• No telltale copy-paste artifacts
• Realistic variations in detail
• Consistent backgrounds
• Natural-looking imperfections

The Arms Race

The situation is evolving into a technological arms race:

1. The Defenders: Publishers and integrity specialists are developing AI detection tools
2. The Challenge: Currently published papers might already contain AI-generated images
3. The Future: Detection tools are becoming more sophisticated, but so are the generation tools

As these tools (like Imagetwin ) become more accessible, the scientific community needs to adapt its verification processes to ensure that published research remains trustworthy and verifiable.

AD 2

There’s a reason 400,000 professionals read this daily.

Join The AI Report, trusted by 400,000+ professionals at Google, Microsoft, and OpenAI. Get daily insights, tools, and strategies to master practical AI skills that drive results.

Sign up now for free and work smarter, not harder.

Interested in advertising in Albus?

If your company wants to reach AI professionals and decision-makers, consider advertising with us.