agentic payment is a fundamental pillar of the future agents can be embedded in your daily life > knowledge > investments > entertainment > e-commerce purchases and all of the above requires payments to a certain extent

Been seeing more companies that are leveraging AI-powered autonomous 'vehicles' to collect niche data in areas that are typically not as accessible Examples are @WindBorneWx which relies on balloons to collect weather data and create a mesh for weather forecasing and @the_small_thing with mini robots in the ocean collecting under-water data

At Generalist, robotics is no longer limited by data. Breaking through the data wall has enabled us to become a true foundation model company, building and scaling models from the ground up for embodied intelligence. In today’s blog post we’re excited to share details about GEN-0, our first generation of embodied foundation models: • GEN-0 is a class of custom, natively cross-embodied, model architectures built from the ground up for the decadent dexterous behaviors Generalist has become known for. • We have scaled GEN-0 to 10B+ fully active parameters and continue to push the boundaries of scale for training and inference. • GEN-0 foundation models are thus far pretrained on 270,000+ hours of real world diverse manipulation data. We collect 10,000 hours of data per week and are accelerating. • We are now seeing that massive-scale pretraining leads to beautifully sample-efficient finetuning on downstream tasks, delivering on the fundamental promise of embodied foundation models. • The scale of our data trove has enabled us to conduct detailed science on pretraining. Scaling Laws are alive and well in robotics. All of the above and much more on our blog post: generalistai.com/blog/nov-04…

really nice piece by @caladanxyz on the nuances of the existing projects building within the x402 landscape

The model is the network Fortytwo’s Swarm Inference is a new AI architecture built on a distributed network of specialized models For every query: 1. Relevant nodes generate individual responses 2. Those same nodes evaluate and rank each other’s answers 3. The highest-ranked results are fused into a consensus response 4. The collective answer is returned as the final output The network is the model

contemplating hard

Our TPUs are headed to space!  Inspired by our history of moonshots, from quantum computing to autonomous driving, Project Suncatcher is exploring how we could one day build scalable ML compute systems in space, harnessing more of the sun’s power (which emits more power than 100 trillion times humanity’s total electricity production). Like any moonshot, it’s going to require us to solve a lot of complex engineering challenges. Early research shows our Trillium-generation TPUs (our tensor processing units, purpose-built for AI) survived without damage when tested in a particle accelerator to simulate low-earth orbit levels of radiation. However, significant challenges still remain like thermal management and on-orbit system reliability.  More testing and breakthroughs will be needed as we count down to launch two prototype satellites with @planet by early 2027, our next milestone of many. Excited for us to be a part of all the innovation happening in (this) space!

the interactive experience is great at reigning new users in ‘come try fomo!’ and retaining them ‘I gotta keep up with my friends / I’m keen to see what they are trading’

Curiosity can’t be tabbed

good breakdown on how devs can monetize their APIs by allowing agents to pay for it directly over x402

this is where I tweet from due to market conditions > downgraded the laptop > sold most of the furniture > got a smaller (and cheaper) blanket

gentle reminder to top up margin wen needed

create a Minecraft like environment put agents in (coded to attack other agents) bet on which agents will survive and emerge top allow for users to add prompts to spice up the environment e.g. no trees (so that they can't make an axe)

lil' Franklin says hi come hang out with lil' Franklin and Molandak today at RoboCon! luma.com/qpctyobs

interoperable agent memory who's building this?

i anticipate that we will see more of such specialized robots, with a focus on robotic arms in the coming year

a sourdough starter

🧵 More than $6.8 trillion flows through online stores every year, and every transaction still needs a human to finish it. That’s starting to change, AI agents are beginning to move money on their own, as easily as they move data. Here’s how x402 is turning AI from users into customers.👇