
KGeN collects data from verified humans in the Global South to train Physical AI and LLMs Backed by @AccelIndia @Prosus_Ventures @jump_
Joined February 2023
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$3,400,000+ earned by our AI contributors. In just 2 months.
To put that in perspective, it's what some of the biggest chains in crypto have disclosed as their revenue within the same time span. The difference is this went straight to people.
Our verified contributors are spread across 30+ countries, training AI across 15+ environments and 300+ task types.
Robots learn from humans and those humans deserve the credit and the earnings. Like ours do.
Great breakdown from @humynlabs.
As robots move into homes and workplaces, what matters is whether real people recorded their training data in the kinds of environments where these robots will actually operate.
Before Physical AI learns from a clip, we make sure a real human recorded it.
That's our verified human network.
Bad data makes a chatbot say the wrong thing, but it makes a robot do the wrong thing.
That's why AI safety starts at the source, with the data it learns from.
We've already seen flying cars, are we close to a future where robots will have their own calendars and routines?
In just 7 days, our top 1,000 contributors collectively earned $100K+ by recording real world data to help train Physical AI.
As AI learns to understand the world we live in, the people capturing everyday life are earning from the work they put in to make it happen.
KGeN Foundation 🟩 retweeted
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Context Matters.
Even a simple task like folding clothes changes with the environment. Indoor or outdoor, lighting, shadows and space all affect how the task is performed.
For Physical AI to get it right, it needs to learn everyday tasks across different environments and conditions.
That’s why diverse, real world egocentric data isn’t optional. It’s crucial.
Another KBW wrapped up.
Great panels and a lot of talk about the future of robotics. Seoul, until next time 🇰🇷
KGeN Foundation 🟩 retweeted
your home robot is dangerous, if it learned from the wrong data
imagine your robot at home hitting cups like the karate kid instead of picking them up – and that can happen just because of a 1 mm error inside the robot training data. unlike with llms, the consequences are huge.
@ishank20 sees this every day: his team records the hands robots learn from.
full clip below 👇
your next friend will be a robot
to get there, it has to see, hear, touch and move like us.
@AddyCrezee sat down with @manishdiesel and @ishank20, co-founders of @humynlabs – the team that has filmed 1m+ first-person videos and recorded 50k+ hours of audio of how people do it. they talked about the robot age – in homes, in factories and in how we talk to machines.
• "robots as companions will be ahead of general purpose humanoids that will come and do your laundry"
• "car covers one use case while robots are multiple use cases" – why robots will outnumber cars
• "very few people in the world would be using keyboard and mouse to communicate with machines. it's all going to be voice"
• "more robotic productivity than human productivity in as early as 2035" – quoting elon musk
watch full interview below















