Jacob Coffman retweeted
every data center story says it uses "as much power as 100,000 homes" like that's a scandal. an aluminum smelter pulls five times that and it's why airplanes are cheap. measuring industry in homes is how you train a country to believe building things is a crime
If you wake up in the morning with tight hips - try these three movements.
An easy way to go through nearly the full range of motion of the hip and help decrease some stiffness.
Typically suggest 2-3 sets of 8-10 reps.
Great to do these before bed as well.
If they don't do anything for you - don't do them.
If you like them and they make your hips feel better - do them.
I need @spacexai to win the frontier model race so I can have in-depth conversations about joint physiology without being pushed to a lower level model.
Last week we wrote about how a client of ours was struggling to correct their slide after a few months of lessons.
They were able to decrease the frequency of the slide but it kept showing up the first and last few holes of each round.
It wasn't a technical issue it was a capacity and loading issue.
Watch the full breakdown here.
Jacob Coffman retweeted
Replying to @andykonwinski
Exactly. I've been disseminating a similar message for years.
The concentration of power in AI and the desire for control is by far the biggest danger of AI. It could lead to a few private companies and/or countries being in control of access to information, access to knowledge, and access to the tools of economic expansion.
It's a kind of medieval obscurantism akin to the Ottoman empire banning the use of the printing press for 200 years, in part to keep control of the dogma, but also to protect the corporation of the calligraphers and scribes.
Relevant historical bits about the Internet:
1. It took a deliberate decision by Al Gore and Bill Clinton to open up access of what was then ARPAnet to commercial entities and to the public, against the desires of the entrenched telecom industry. During a public roundtable about the "information superhighway" in 1993, the CEO of AT&T told Gore and Clinton "leave it to us". Gore said no.
2. In the late 1980s, setting up an Internet presence required buying proprietary hardware with proprietary OS and software stack from Sun Microsystems, HP, IBM, or Dell. By the 2000s, all of this was wiped out by commodity hardware, Linux, Apache, and an entirely free/open software stack. This migration to open platforms was the result of market forces.
Infrastructure wants to be open.
Foundation models are becoming an infrastructure and will inevitably become commoditized.
Long term, the money is in the application layer, which is what I, Arthur Mensch, Alex Karp, and others have been saying.
Building nuclear reactors that are easy to replicate is a SpaceX style problem:
"What we're trying to do here is build a reactor which is easy to replicate.
It's a little different from mass manufacturing.
Different from a Tesla style problem, more like a SpaceX style problem.
You have a complicated vehicle that you need to get really good at building and deploying in a repeatable fashion.
When I first started the company, we didn't have a size in mind for the first reactor. It was very explicit. We told the team we don't know how big the reactor is going to be. We don't know how powerful it's going to be.
We didn't know those numbers until a year to 18 months into the company.
We told ourselves we are going to discover the power level through the manufacturing process.
Our instinct was as long as that number turns out to be somewhere above 15 megawatts, we should be pretty good for mass production.
If you're under 15 megawatts, it's pretty hard to scale the right way. You just end up doing so many different pieces of operations that it becomes more complicated.
But our feeling is above the 15 megawatt break point, you have something that can really scale. And we think this reactor ends up somewhere around 25 megawatts.
25 megawatts being the sort of scale factor where if you want a gigawatt, you just build 40 of them.
The next challenge for us as we turn this on and turn the next one on is how do we get to the place where we're turning on one reactor every day and then multiple reactors every day.
That's how we're going to climb into the gigawatts."
My third interview with @Isaiah_p_Taylor, Founder of @ValarAtomics.
Valar just became the first startup in history to power an NVIDIA Blackwell with a nuclear reactor.
0:32 Manufacturing nuclear reactors is a SpaceX style problem
2:58 Scaling from 1 reactor to 10
4:31 Why it’s so tempting to iterate on paper instead of actually building reactors
7:37 Having contact with reality - modular shielding
10:09 Steel is cheaper than software engineers
11:09 Why the idiot index is so high in nuclear
16:02 Becoming a nuclear company
18:57 It's important not to lie to yourself
21:55 Obsessing over critical path
24:54 Nuclear reactors are relatively simple
30:35 Safety is a function of iteration speed
30:55 Why Valar had to vertically integrate
35:01 Designing a Toyota Camry vs a Ferrari
38:07 Running through 1-way doors
41:13 Pulling rabbits out of a hat
46:13 Wartime mode
48:49 Being willing to do unreasonable things
51:20 How Elon injects urgency into his companies
56:56 Relentlessly chasing the goal of making energy 10x cheaper
58:32 What’s changed over the last 3yrs
1:00:51 Designing safe nuclear reactors
1:13:05 Learning from SpaceX - optimizing for scale
1:18:07 Having a high tolerance for looking dumb
1:19:50 How Palmer Luckey handles hit pieces
1:20:55 Inevitable time
1:25:26 Predicting unknown bottlenecks
1:28:08 Scaling
1:29:45 July 4th will be a rebirth for nuclear in the United States
Jacob Coffman retweeted
It would only take about 20 of our Superpower small modular turbines to make enough electricity to reduce every thermostat in NYC from 78 degrees to a more human 72. We'd be happy to provide them.
New York: it's hot out there, and the power grid is working overtime to keep us cool.
Set your AC to 78 degrees, turn off lights/electronics you're not using, and unplug what you can.
Our City is doing its part too: maintaining the 78 degrees rule in our buildings, dimming/turning off our lights during peak electricity demand, asking private partners to do the same, and powering down non-essential equipment.
A stable grid means the AC stays on, and lives are saved. Let's ease demand — and get through the heat — together.
Jacob Coffman retweeted
We are finally seeing the launch of cheap, capable robot hardware that is at consumer price levels.
new announcements from Weave, Nori Robotics, and Bracketbot show the wave of future consumer robot products that will live in your home and do your chores.
more: open.substack.com/pub/itcant…
I don't think people realize how revolutionary home robotics will be for modern life.
My wife and I talk about this constantly. We want to go on a walk with our daughter after work but one of us needs to cook dinner so we rotate.
We put the baby down for the evening but have a house to clean so one of us showers while the other cleans the house and the kitchen.
Someday this work will be done by a robot - the hours that we have lost over the years will come back to us because of companies like @weaverobotics
Jacob Coffman retweeted
We've been working hard. Glad to see it coming together. Feeling good about the future
Jacob Coffman retweeted
Personal update: I've joined @sundayrobotics.
Two questions ran through my whole PhD: how to learn from scalable human data, and how to build general-purpose robots.
Trying to answer them convinced me of one thing: general-purpose robots will never come from better models alone. It takes tight iteration across data, hardware, model, control, and evaluation. Every loop you can shorten matters.
My first dinner with @tonyzzhao and @chichengcc turned into a four-hour conversation. I walked away realizing how much we saw eye to eye: scale the data, think full-stack, start from the problem you want to solve instead of the idea you want to win.
So getting to work at Sunday is a dream come true, a place to solve generalization with the full breadth of human data and system-level thinking, and keep chasing the questions I care most about.
After my first month in, two things stand out: Sunday’s full-stack team iterates unbelievably fast, and the energy when everyone is aligned on the same vision is electric. This speed and energy is exactly why what used to feel impossible now feels close.
Home robots, the frontier physical AI in the hands of ordinary people, were long seen as a distant dream . At Sunday, I watch this dream take shape every day. I'm convinced there's real research-market fit here: foundation models and home robots point toward the same north star, generalization, not specialization, because every home is different.
Excited for the zero-to-one moment ahead.
Jacob Coffman retweeted
introducing http://Proception.aiFinally we can share what we have been working on. Super grateful for the team’s hardworking in the last 4 months. More to come, exciting time ahead
Jacob Coffman retweeted
These are the kinds of tasks that felt impossible to automate just a few years ago. and here they are showing it live
That's one of the coolest robotics demos! 😮💨
@GeneralistAI showed GEN-1 handling box folding and screw packing during @AutomateShow.
The boxes are cardboard with real variability: creasing, deformation, different configurations. GEN-1 retries when things go wrong. It adapts mid-task.
This is a jump from GEN-0, shown 3 months ago during GTC. GEN-0 handled rigid, predictable boxes. GEN-1 handles deformable ones with chaotic behavior.
The scaling is straightforward. GEN-1 trained on 500,000 hours of proprietary, real-world dexterous manipulation data.
Scaling laws are working. More high-quality real-world data leads to better physics understanding, better retry behavior, better generalization.
And the time to get a working demo is shrinking drastically.
They're not even at scale yet. They're just starting to see what happens when you pre-train on massive amounts of actual robot data.
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