Astroforge CEO Matt Gialich argues asteroid mining must shift from NASA-style budgets to lean, repeatable missions targeting near-Earth asteroids.
Astroforge's Deep Space 2 mission, launching this year, costs $10.4 million with a potential $105 million return for 1,000kg of platinum-group metals.
The company targets over 600,000 cataloged near-Earth asteroids, focusing on 'metal asteroids' with 70% iron-nickel composition.
The magnetic surface of iron-nickel asteroids allows Astroforge spacecraft to dock using simple magnets, avoiding complex landing mechanics.
In zero gravity, traditional drilling fails due to Newtonian reaction forces, so Astroforge uses directed energy lasers to vaporize asteroid material.
Magnetism separates the ore: platinum-group metals are non-magnetic and pass through a filter, while magnetic iron-nickel is diverted.
Gialich dismisses in-space manufacturing hubs as premature, stating there is no existing 'in-space economy' to support them.
The current strategy is strictly extractive, aiming to return refined platinum-group metals to Earth to replace destructive terrestrial mining.
A 10-to-1 return ratio on missions would transform space exploration from a cost center into a profitable commodity cycle.
Bittensor's subnet 68, called Metanova, uses a decentralized network to crowdsource the search for drug molecules that bind to specific biological targets like serotonin receptors, aiming to cut pharmaceutical R&D costs.
The project treats drug discovery, a process that typically costs $2.6 billion over a decade, as a distributed computing problem, according to operators Michaela Bazo and Pedro Penna.
Miners on subnet 68 compete in two parallel tasks: submitting target-binding molecules or developing the chemical search algorithms to find them, exploring a constrained space of roughly 65 billion synthesizable compounds.
Validators score the miner submissions, and winners are paid with token emissions, creating a perpetual, incentivized global hackathon model for pharmaceutical research.
Metanova launched in March 2023 as a proof of concept to see if drug discovery could be accomplished in a decentralized way, which operators claimed had never been tried before.
Jake Lusararian of Gecko Robotics argues that deterministic, purpose-built robots for infrastructure inspection represent greater economic value than general-purpose humanoids.
Lusararian says the current AI hype cycle is converging with industrial necessity, creating a moment for pragmatic robotics with 13-year head starts.
Gecko Robotics' thesis is to gather data from the physical world to predict and prevent infrastructure failures, which Lusararian positions as a foundation for economic growth.
Chris Latner, CEO of Modular, identifies a fragmented AI hardware landscape where a lack of software portability stifles innovation by locking developers into vendor-specific toolkits.
Latner's company, Modular, aims to build a unifying software layer that allows AI models to run on any hardware, from data centers to edge devices, to break vendor lock-in.
Both founders highlight a market shift from speculative AI demos to pragmatic, mission-critical deployment in sectors like energy, defense, and manufacturing.
The explosion in AI models has intensified the need for reliable, non-hallucinatory data from physical infrastructure, creating demand for robotics like Gecko's.