zero0f.base.eth

Can I call myself an investor now 😭

@ajizoriginal @axisrobotics 👀 wow day 1

Hari demi hari, tugas demi tugas akhir aku telah menyelesaikan 600 task di @axisrobotics . Mungkin 600 data trajectory terlalu sedikit dibandingkan dengan kebutuhan physical AI saat inil, tapi aku senang menjadi bagian dari perjalanan ini. Masih banyak yang harus dipelajari dan dicapai, tetapi untuk saat ini aku bersyukur bisa berkontribusi dan berkembang dengan @axisrobotics

@0xxLabubu @axisrobotics nice

Have you ever thought about it?

@0xagoes1 @axisrobotics gAxis

Now it's time to go further with AXIS Physical AI connecting artificial intelligence with the physical world through robotics that can move, understand, and interact in real time. @axisrobotics

@karinalinaka @axisrobotics bullish on Axis

robotics has made huge advances in hardware. the next challenge is intelligence that can adapt to changing conditions without constant retraining. axis is building infrastructure designed to make physical ai more flexible, scalable, and capable in the real world. @axisrobotics

@SUNY_Nudes @axisrobotics gAxis

the future of automation depends on systems that can adapt beyond predefined rules. axis is exploring how continuous interaction and behavioral feedback can help physical ai become more capable in complex, real-world environments. @axisrobotics

@elneno13nhtw @axisrobotics gAxis

physical ai requires more than intelligent models. it requires systems that can learn from feedback, adapt to changing environments, and improve through experience. axis is building the infrastructure layer designed to support that evolution at scale. @axisrobotics

@NJakecon92504 @axisrobotics gAxis

building intelligent robots is not only a hardware challenge. the harder problem is creating systems that can continuously learn from new environments, new behaviors, and new data. axis is focused on solving that layer. @axisrobotics

@PavelRyan_ @axisrobotics @AxisRoboticsID @alanaanastasya @0xRyzzu gAxis

Everyone talks about robot intelligence. Few talk about the data required to create it. @axisrobotics is tackling one of the hardest problems in Physical AI: collecting scalable data for long-horizon and cross-embodiment robotic tasks.

@wilfried25_ @axisrobotics @AxisRoboticsID @BitRobotNetwork gAxis

Bruh @axisrobotics @AxisRoboticsID Baru pertama kali coba task Pick up the Bowl - Multi Embodiment dari @BitRobotNetwork langsung selesai dalam 7 detik aja! Ini pertama kalinya nyoba dan langsung berhasil. Rasanya puas banget! Tiap task yang kita kerjain bener-bener bantu bangun Physical AI. Semakin cepat & semakin banyak, semakin bagus datanya buat robot masa depan. Proud moment lah ini 💪 Mau coba juga? Gas aja di: hub.axisrobotics.ai/login?invite_c…

@Stevennn77_ @axisrobotics @BitRobotNetwork @ZenO4AI gas

NIh aku sharing buat yang penasaran gimana sih cara kontribusi atau grinding di project web3 yang fokus ke robotika atau Physical AI ✨👌 Disini aku kasi liat visual saat ngelakuin teleoperasi pake 3 project yang lagi aku serius jalanin : 🤖 @axisrobotics 🤖 @BitRobotNetwork 🤖 @ZenO4AI Pada masing-masing project ini kita nnti akan diberi tugas yang harus diselesaikan, contohnya kyk taruh wortel dipiring, nyusun balok supaya sejajar, angkat balok dan sebagainya dari yang gampang smpe sulit 😭 Intinya kita cuma perlu nyelesaiin tugas sesuai perintahnya aja, awalnya pasti sulit aku juga ngerasain gitu 😭 tapi kalo kalian udh paham mekanismenya pasti bisa kok 👌 Tapi yang perlu kalian ketahui masing-masing project punya mekanisme dan kontrol yang berbeda jadi kalian harus bisa beradaptasi 😉 Semangat grindingnya ya kawan ✨🔥