Slant 3D

@loyalmoses Want more new sponsors?

Did Polymaker and I break up? After 5 years of collaboration? There were some serious issues, and sometimes you have to move on to build something bigger. More details soon... Watch the full SPICY video here: youtube.com/live/4YH0YyNS9…

@saba_khalilnaji Boise Idaho is the main megafarm. Couple others going into East Coast

@Slant3D Where is your factory?

Alright. What humanoid robotics company wants to train in our factory to become a useful part collector

@earthtojake @OpenAIDevs @BambulabGlobal Now have it list the model on portals so anyone on the planet can buy the part.and have printed on demand.

this part was generated AND printed with one prompt using codex + text-to-cad skills (open source): “generate a thick Möbius strip, 8cm wide, and print on my bambu labs a1 mini” 2 hours later the thing i asked for in text on my phone was sitting on the build plate

@pronounced_kyle Shoot us some dimensions and we will stick it up on Portals for everybody

I have found the perfect 3D printing job Missing adapter for kid's water toy... Anyone in SF have an underutilized printer and 30 min of free time?

It is so bad that customers expect it. It is incredible how many customers will complete a contact form asking for a quote. But they will not fill out the auto quote tool that will deliver their parts a couple days later.

You can have you cake and eat it too! Snap fits are a great example where 3D printing gives you all kinds of new capabilities. youtu.be/rsfZgT3ZEI8

Prepping material for a day in the print farm

Right or left?

@shlimeeio Shoot us a dm

@Slant3D Man I’d that oil stick but slant don’t reply gang.

Any YouTuber that wants to swap out Bambulab for a new sponsor hit us up. We are looking to send out a mess of oilsticks. For real we will sponsor you. We pay american dollars and the Oilsticks are made in a good Ole American sweatshop. The way God intended

@mesouug Fuzzy skin is coming soon. Right now this is set for enterprise users.

@Slant3D Is this an option when ordering part... Like choose final finish?

A little hilbert curve, a little fuzzy skin, a few hundred machines...

You should use it. 10x's the quality of your parts with no weird slicer hacks.

These stainless-steel beads form a powder that is over six times finer than flour, meaning each particle is too small to see with the naked eye. Powders like this are the basic building material of a type of metal 3D printing called "laser powder bed fusion" or (PBF-LB). It works by spreading out a thin layer of metal powder and using a powerful laser to melt the powder together into a specific shape. Then the process continues by laying down a fresh layer of powder on top and repeating. Each layer is leveled off by a wiper. It’s like the way you might level off a cup of flour with the back of a knife. To make a good 3D-printed part, the powder must be spread in an even, consistent way. Now, thanks to NIST research, we can watch the powder spreading and study its behavior. This work will improve the consistency and quality of metal 3D printed parts. Video Credit: @NIST #engineering #technology #3dprinting #additivemanufacturing

Portals (our marketplace alternative to Etsy for 3D printed products) has seen a big spike in the last week of both users and sales. I think it is because of an organic traffic update that we made that should be pushing more customers that way. Let us know if you have any problems so we can keep improving it.

@fantasysalary @mattparlmer The future

@Slant3D @mattparlmer what am I looking at?

Glueslots are a super power of 3D printing Use them for reinforcement or use the unmanufacturable geometry to distribute glue where you need it. youtu.be/qV1xXXbzM4Y?si…

Accessories are still a market that doesn't use enough printing even though there is no place better to use it. High mix On demand Need super fast reaction time.

Jensen Huang just dismantled the entire “AI is coming for your job” narrative in under two minutes. Huang: “If you apply that to me, you would come to the conclusion what Jensen does for a living is tap on phones and talk. And therefore my job should be gone. But I’m busier than ever.” The entire panic is built on a category error. People look at a job and see the task. They never see the purpose. The task is typing. The purpose is solving. They were never the same thing. Huang: “There’s a fundamental difference between the purpose of the job and the task of the job.” Every doomsday prediction about AI makes the exact same mistake. It watches a programmer type and concludes the job is typing. It watches a designer move pixels and concludes the job is moving pixels. It watches a writer arrange words and concludes the job is arranging words. The job was never the motion. It was the judgment behind it. Huang: “It is a fundamental flaw that we only need a billion lines of code written. We need a trillion lines of code written.” The doomsday model assumes demand is fixed. That there’s a set number of problems in the world and AI is about to solve your share and leave you with nothing. Demand was never fixed. It was capped. Capped by the speed of human fingers on a keyboard. Hospitals still running on software from 2003. Small businesses still doing invoices by hand. Not because nobody imagined better. Because there weren’t enough humans to build it. The backlog of unsolved problems on this planet isn’t shrinking. It’s infinite. AI didn’t show up to take your seat. It kicked open a door to a room full of problems nobody had the bandwidth to touch. Huang: “We have lots and lots of imaginations of all the things that we can do. If we just didn’t have to type anymore, we could go and do those things.” This is what 50 years of keyboards did to us. We didn’t build a tool and stay in control. We built a tool and rearranged our entire lives around serving it. Huang: “This one little device with a keyboard on it consumed all of our lives to the point where we just can’t imagine living without typing anymore.” An entire generation measured its worth by how fast it could press buttons on a rectangle. We called it skill. We called it career. We called it identity. Nobody stopped long enough to ask whether the thing eating 8 hours of every day was the work itself or just the friction standing between us and the work. Huang: “50 years before that people didn’t do that. And so in the future we’re gonna do less of that, we’re gonna do more of something else.” The people most terrified of AI aren’t afraid of losing their purpose. They’re afraid of losing their routine. Because somewhere along the way routine became identity. And when the routine disappears, they don’t know who they are without it. The farmer didn’t stop feeding people when the tractor arrived. The surgeon didn’t stop saving lives when the robot entered the operating room. The task changed. The purpose never did. AI isn’t coming for your job. It’s coming for the part of your job you mistook for the whole thing. Fifty years from now, people will look back at this era the same way we look at scribes copying manuscripts by candlelight. And they’ll ask the same question we always ask. Why did it take so long to let go.