rich.τ
12.5K posts
rich.τ
@richdotca
Biττensor = decenτralized AI mining proτocol incenτivising creaτion of τruely open, decenτralized, permissionless, & safe AI. ~/21Mτ.
We’re giving scientists, mathematicians, and engineers free access to our frontier models—starting with 10,000 researchers and expanding to 100,000 through 2027. ChatGPT for Academic Researchers is built to accelerate discovery across disciplines.
NOVA Nanobodies: Experimental validation We're excited by the quality of submissions we've received in our nanobodies competition and are pleased to announce that we’re beginning nanobody production in partnership with @Yalotein. This marks the start of experimental validation for our nanobodies track, alongside our small molecules program. With this milestone, NOVA now has two therapeutic modalities progressing through both virtual screening and experimental validation. This milestone reflects a broader vision for NOVA. Rather than building infrastructure around a single target or therapeutic modality, we're building a discovery engine that can support multiple modalities under a common incentive system. We believe this breadth and flexibility is essential for the future of AI-native drug discovery.
NOVA Nanobodies: Experimental validation We're excited by the quality of submissions we've received in our nanobodies competition and are pleased to announce that we’re beginning nanobody production in partnership with @Yalotein. This marks the start of experimental validation for our nanobodies track, alongside our small molecules program. With this milestone, NOVA now has two therapeutic modalities progressing through both virtual screening and experimental validation. This milestone reflects a broader vision for NOVA. Rather than building infrastructure around a single target or therapeutic modality, we're building a discovery engine that can support multiple modalities under a common incentive system. We believe this breadth and flexibility is essential for the future of AI-native drug discovery.
at a time when people are peak skeptical of the ‘realness’ of digital assets, we’re using them to reward computational discoveries and fund tangible, real-world outcomes. we may look back and realize that what crypto needed to break out wasn’t another financial use case, but rather science. conversely, science may discover that open, permissionless competition is one of the most effective ways to accelerate discovery.
NOVA Nanobodies: Experimental validation We're excited by the quality of submissions we've received in our nanobodies competition and are pleased to announce that we’re beginning nanobody production in partnership with @Yalotein. This marks the start of experimental validation for our nanobodies track, alongside our small molecules program. With this milestone, NOVA now has two therapeutic modalities progressing through both virtual screening and experimental validation. This milestone reflects a broader vision for NOVA. Rather than building infrastructure around a single target or therapeutic modality, we're building a discovery engine that can support multiple modalities under a common incentive system. We believe this breadth and flexibility is essential for the future of AI-native drug discovery.
2026 is indeed proving to be an inflection point. the pace of progress across the field continues to validate our conviction that AI will fundamentally reshape how medicines are discovered. at the same time, the progress inside @metanova_labs reinforces our belief that decentralized, incentive-driven networks have a meaningful role to play in that future. this half marked a few important milestones for us, most importantly, moving beyond computational discovery. couldn't be more excited for the months ahead!
this is the difference between specialized intelligence and general intelligence this is why i love distillation and why we are a building a web of smaller models that chain together depending on your use case
this is the difference between specialized intelligence and general intelligence this is why i love distillation and why we are a building a web of smaller models that chain together depending on your use case
