Jacob Coffman

@WillSpagnoli Phenomenal.

AI water usage discourse is basically just some news company saying “Sam Altman had a small sip of water, consuming billions of atoms - more than most flies drink in a lifetime” And everyone being like wow we better put a stop Sam’s sips asap so our kids don’t die of thirst

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

@chesterzelaya Pay 1/20th of the current cost.

POV you just spent 8hrs under the knife and wake up to see this what do you do?

@ronakpat42 @TheZignal Pretty sure they could pull out actual bodies and "some" debunkers would say it was from a wax museum - and at the same time I agree with you.

@TheZignal Wake me up when we get evidence that makes even a debunker go “holy shit” instead of “probably parallax”

5th batch coming apparently . But when will they get ‘good’? I fear people are switching off. Are we forever going to be arguing over fizzy dots and ambiguous movement?

@ThomasAlxDmy You don’t seem to understand that SpaceX will be worth more than the rest of Earth if we accomplish our goals

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.

This is incredible.

@keerthisiddeshw @assthad Have you incorporated any adductor and abductor isometric holds into your routine to see how that affects your IT band?

@assthad has a doubt here

Aditya, thanks for sharing the details on Grok 4.5’s training mixture. The focus on long-horizon agentic coding in simulated environments and that intelligence-behavior feedback loop is really interesting. Are you all adding real complex physical data — like atmospheric reanalysis or multi-physics simulations full of coupled independent and interdependent interactions — to help the model develop a stronger general understanding of how systems interact and evolve? Curious if that kind of data could(or has) strengthened the capabilities you’re building, or if there are bigger practical hurdles with integrating it.

A bit on how we built it. The mixture: hundreds of thousands of tasks across dozens of environments, weighted toward long-horizon agentic coding in simulated environments that mimic real product interactions and long-running tasks, plus tool use, math, proofs, and broad knowledge. Much of it comes from synthetic environment and reward generation at scale. What we really learned was how to scale data and recipe, and how to deliberately shape model behavior. Intelligence and behavior feed each other in a tight loop a smarter model behaves better, and better behavior unlocks more intelligence. We're just getting started.

Not just a new point on pushing the frontier. We feel we built a model we think can take on and go beyond most of your workload, at a fraction of the cost. Higher intelligence per dollar than any competitor. And it's a real leap over our last generation. With our model factory we can iterate fast now, so tell us what it's still missing.

Tomorrow we’re unveiling the most advanced robotic hand in human history

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.

@Harshbhupatmodi That 100% drop in VOC is incredible!

From inception to impact report. Grateful for this journey.

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.

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.

@kylem_org Thanks!

@JakeC0ffman Just saw your profile and work, that’s awesome dude, love what you’re doing !

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

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."

@kylem_org Just helping people keep doing the activities they love in Columbus - I can’t imagine what you get to hear!

@JakeC0ffman I don’t suspect you’ve been doing user research for frontier labs haha, I get to hear it all.

A business owner I know pays $20k a year for essentially a laundry folding service. That’s all they do is fold. @weaverobotics Isaac 0 would solve this for them but they don’t ship to the Midwest - yet. There are tons of businesses that would gladly pay $450 a month for this service.

$450/month to fold laundry? I’m struggling to believe that humanoids will be the future

@ShowMeZou @EricFromSTL I think many companies have the going up stairs handled @Figure_robot @Apptronik @1x @BostonDynamics and other companies are skipping even trying

@JakeC0ffman @EricFromSTL No chance. The robots we have now can’t even walk up stairs without falling on their face