Ditto (Subnet 118) started as a unified memory layer for AI agents. On the latest Ventura Labs pod, founder Peyton Spencer and BigTensor’s Seby Rubino reframed it as something bigger: an agentic operating system you […]
Most subnet operators build one product and spend years trying to make it work. Koyuki Nakamori is building two simultaneously, and they sit at completely different layers of the AI stack. Perturb (Subnet 26) is […]
For his second appearance on the Ventura Labs podcast, Travis ‘Tao Templar’ Millott, sat down with the host for a wide-ranging conversation on what has changed since their last conversation and what is still ahead. […]
Most AI research teams, when faced with a choice between solving a hard problem and routing around it, choose the detour. Subnet 3 trained an entire 72 billion parameter dense model specifically to avoid working […]
There is a quiet arms race happening beneath the surface of the AI boom. While companies compete to build bigger and more capable language models, another market is expanding just as fast: detection. The need […]
Doug Sillars, Developer Relations lead at Taostats, recently joined the Ventura Labs podcast to break down what’s really happening inside the Bittensor ecosystem. From subnets behaving like real companies, to emission mechanics, MEV bots, and […]
Most people think AI is about replacing jobs. But in one of the most honest moments from the Ventura Labs podcast, Seby (Resi, Subnet 46) frames it differently: AI is here to replace the systems […]
SUMMARY: This episode of Ventura Labs Podcast featured Keith Singery and Garrett Oetken from TAO.COM. They discussed how Bittensor‘s ecosystem has shifted responsibility for product development from validators to subnet owners, who have the actual […]
Bittensor is entering one of its most defining periods. The first $TAO halving is approaching, TAO Flow has replaced price-based emissions, chain buys are finally being discussed openly, a new encrypted mempool is now rolling […]
Artificial intelligence is advancing faster than even experts predicted. As models grow more capable, autonomous, and unpredictable, the question of alignment has become unavoidable. How do we make sure increasingly powerful AI systems behave safely, […]
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