cryptoreuMD
45.9K posts

cryptoreuMD
@cryptoreumd
Soy parte de un sueño, uno muy raro y salvaje

i am a actually glad I work at a crypto company with real revenue and a token not many people in the our industry can say that





Todos los días pasa algo nuevo en el mundo tech, sobre todo ahora que tirar código es más fácil Pero hay tantas cosas, que seguro te pierdes de miles Únete a @garosan1 y @troopdegen para procesar lo que está pasando con un cafecito en mano x.com/i/spaces/1MJgN…


@troopdegen @gilbertsahumada Queremos el github @troopdegen buenísimo esto! Repórtelo ⚡️🦖




Important Notice After a careful evaluation of the Company's operating conditions, market environment, and future strategic direction, BitMart has made the difficult decision to commence an orderly wind-down of its trading platform operations. We deeply regret having to make this decision. Key dates: • Jul 26, 2026, 01:30 UTC: New registrations, deposits, and new trading orders will begin to be suspended. • Aug 26, 2026, 01:00 UTC: All trading services will be discontinued. • Jan 31, 2027, 15:59 UTC: Platform operations will officially cease. Withdrawal services will remain available. We strongly encourage all users to close positions, complete KYC (if needed), and withdraw assets as early as possible. Please read the full announcement for important timelines and instructions: 🔗 bitmart.zendesk.com/hc/en-us/artic… Thank you for your trust and support over the years. ❤️

Calling all researchers and AI builders! We're building a research agent for the Bio community, similar to BIOS but configured around your domain, your evidence standards, and your workflows. Before we ship it, we want to hear what it should look like from the people who'd use it. Tell us how you do research: your field, your sources, and what the agent should never do without your sign-off. Link below ↓


Anyone can now rent the models that design a drug candidate. Almost no one can rent the experimental record that proves which candidates are real. Why models are commoditizing, what drug failure actually costs, and how PeptAI turns every run into a compounding dataset 🧵




