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Jordan Wolfe

@jrwolfe

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going direct.

Joined October 2008
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@jrwolfe
Jordan Wolfe
4 days
Despite being a newbie to nuclear, it's obvious it will be a key form of clean, abundant energy to power the new economy. I just released the full conversation (link below) with Liz Muller from @DeepFission . They're building micro-nuclear reactors 1-mile underground.
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@jrwolfe
Jordan Wolfe
2 days
interesting take on nuclear waste. if you use nothing but nuclear power your entire life, it would fit in about one soda can.
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@jrwolfe
Jordan Wolfe
3 days
if you understand someone's incentive structures, you will better understand their behaviors and find more common ground.
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@jrwolfe
Jordan Wolfe
4 days
Link to full episode:
Tweet card summary image
open.spotify.com
Going Direct Conversations · Episode
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@samanfarid
Saman Farid
6 days
@garrytan @Noahpinion 1) American factories skew smaller than Chinese & others so they have less justifable workloads 2) American robotics delivery has generally relied on very expensive system integrator networks that are incentivized towards customization, cost-plus project work, and vendor lock-in
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@jrwolfe
Jordan Wolfe
6 days
I know very little about nuclear energy so I decided to go nuclear this week. I sat down with Liz Muller from @DeepFission who's building modular, micro nuclear reactors one mile underground. A little tasty-poo below. full episode drops later this week on Going Direct.
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@jrwolfe
Jordan Wolfe
9 days
Full conversation is up at Going Direct.
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@jrwolfe
Jordan Wolfe
9 days
3/ Model size and # of parameters is important in robotics, but balancing inference speed w/ model size is critical. Much more than with LLMs.
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@jrwolfe
Jordan Wolfe
9 days
2/ Context length is critical if we want to robots to have the ability to reason and do complex tasks. Much easier said then done…
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@jrwolfe
Jordan Wolfe
9 days
1/ Interference speed is much more critical in robotics than LLMs or a chatbot.
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@jrwolfe
Jordan Wolfe
9 days
Any robotocist will tell you many gaps still exist when it comes to training robots. I discussed three with Karol and Kevin from the Physical Intelligence team: 1. Inference speed 2. Context length 3. Model size (limited amount of data) 🧵 below:
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@jrwolfe
Jordan Wolfe
11 days
4/ Karol and his team want it to make it really easy to build in robotics where intelligence is waiting there for you.
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@jrwolfe
Jordan Wolfe
11 days
3/ Large tasks have been solved with specialized/ expensive robotics. Now we have to tackle a long-tail of tasks that do not work with traditional techniques.
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@jrwolfe
Jordan Wolfe
11 days
2/ Way too much friction right now if you want to start a company to solve a problem in automation or robotics.
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@jrwolfe
Jordan Wolfe
11 days
1/ Robotics ecosystem barely exists today
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@jrwolfe
Jordan Wolfe
11 days
Entire ecosystems will be required to unlock physical intelligence/generalized robotics. Current state of industry below from my conversation w/ Karol + Kevin at @physical_int 🧵
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@radbackwards
dar
12 days
I joined 1X because Bernt & Eric asked me if I could help them make NEO into something simple enough for anyone on earth to use and give it to the world. It felt like having a couple strangers come up to me and offer me a chance to change the world (well it was). I've never
@1x_tech
1X
12 days
NEO The Home Robot Order Today
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@jrwolfe
Jordan Wolfe
12 days
World models with multi-modal data are critical to making low-cost, generalized robotics a reality. I discuss this w/ @hausman_k and @kvablack from @physical_int on Going Direct. Full episode below. YT:
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