Open-source is how AI research moved so fast, and robotics deserves the same.
Thursday marks a first step toward making the real world truly open and learnable for Physical AI.
Robot policies work in the lab. The real world is where they break.
To close that gap, we are open-sourcing the most diverse egocentric dataset with the help of @LeRobotHF.
Coming to 🤗 @huggingface on Thursday November 12th.
Open-source is how AI research moved so fast, and robotics deserves the same.
Thursday marks a first step toward making the real world truly open and learnable for Physical AI.
Robot policies work in the lab. The real world is where they break.
To close that gap, we are open-sourcing the most diverse egocentric dataset with the help of @LeRobotHF.
Coming to 🤗 @huggingface on Thursday November 12th.
🇧🇷 One of our contributors just aired on Brazil's biggest television network.
A news segment. No ad spend. Her, recording her own day with Hub, getting paid for it.
For the first time in history, anyone with a phone can help teach machines how the physical world works.
Thousands of people already are.
This is what it looks like before everyone else catches on.
Your job pays you once. Now it can pay you twice.
Commercial tasks are live on Hub. Until today, you earned by recording tasks at home.
Now you can record your actual job: the shop, the salon, the farm, the workshop, the factory and more.
Same hours you already work. The difference is they count now, at a higher rate than household tasks.
What do you do at work that a robot could never do?
Hub creators have now recorded over 2,000,000 clips of everyday human tasks.
At home: folding laundry, weeding a garden, taking care of animals.
On the job: mechanics, agriculture, construction, and many more. This side is scaling fast, and will soon cover any kind of work a human can do.
Real people, in the wild. First person, across the Americas.
This is the physical world getting written down for the first time, and it is the one thing robots cannot learn from the internet.
What could you teach a robot that nobody else can?
POTENCIAL DE GANHO TREINANDO IA
Tarefa padrão (R$25/h):
→ 30min/dia = 15h/mês = R$375
→ 1h/dia = 30h/mês = R$750
→ 2h/dia = 60h/mês = R$1.500
→ 3h/dia = 90h/mês = R$2.250
Tarefa turbinada (R$30/h):
→ 30min/dia = 15h/mês = R$450
→ 1h/dia = 30h/mês = R$900
→ 2h/dia = 60h/mês = R$1.800
→ 3h/dia = 90h/mês = R$2.700
Indicação (R$2,50/h por indicado direto):
→ 5 indicados gravando 30h/mês = 150h = R$375
→ 10 indicados gravando 30h/mês = 300h = R$750
→ 20 indicados gravando 30h/mês = 600h = R$1.500
Agora o quanto você quer dedicar de tempo fazendo tarefa ou indicando pra outras pessoas, depende do seu foco.
No meu caso minha mulher ta fazendo as tarefas em casa e eu to focando em ensinar para melhorar a performance de quem to indiciando e por esse motivo eu fiz um artigo.
Esse mercado ainda é novo, então tem que aproveitar agora.