Do you use git to version control CAD STEP files? I've added a diff to my STEP tool. Automatic PR comments showing what has changed graphically and in real engineering terms github.com/pzfreo/step-diff-… The picture is useful but the feature analysis is the core value (see below)

Introducing Form Studio 1 - a professional resin 3D printer, starting at $699. Discover Form Studio 1 bit.ly/4hLDQQb Form Studio 1 is fast, safe, detailed, reliable, and open. ⚡️ Fast - Print most parts in under 2 hours 👩‍🔬 Safe - The world’s safest resin 3D printing ecosystem & the only resin printing ecosystem to be UL GREENGUARD Gold Certified 🔎 Detailed - Smooth surfaces, sharp details, accurate assemblies 💪 Reliable - Alpha Resins have a print success rate of 99% 👐 Open - Print with any materials, Formlabs or third-party resins We took 15 years of engineering and packed it into the world's most affordable professional resin 3D printer. With a limited Founder’s Edition in aqua, teal, and violet colorways, available while supplies last.

For decades, researchers have sought materials that sort electrons by spin while their magnetism cancels. In 3 days, 90+ Opus 5.5 agents helped us uncover two room-temperature magnetic semiconductor candidates in simulations: YBaMnFeO₅ and KV[Cr(CN)₆]. KV[Cr(CN)₆] was synthesized back in 1999. Its predicted ability to sort electrons by spin appears to have been hiding in plain sight for 27 years.

AGENT WARS We asked 5 top AI models to design, engineer and 3D print a bridge to with the goal of holding the most possible weight. 🇺🇸 Anthropic: Claude Opus 5.5 (High) 🇨🇳 Kimi: Kimi K3 (High) 🇺🇸 Meta: Muse Spark 1.3 (High) 🇺🇸 OpenAI: GPT 6 Astra (High) 🇺🇸 SpaceXAI: Grok 4.7 (High) Each bridge had specific parameters. It had to span 2 feet, use a maximum 500 grams of filament, and it had to be under 18 hours of printing time. We specified what type of weight and where we would place it on the bridge. The Score: • Claude Opus 5.5 held an estimated 130 lbs! It took 9 hours and 11 minutes to print 17 parts and used 441 grams of filament. • Meta Muse Spark 1.3 held 26.5 lbs. It took 13 hours and 12 minutes to print 49 parts and used 478 grams of filament. • OpenAI GPT-6 Astra held an estimated 17.5 lbs. It took 15 hours and 44 minutes to print 29 parts and used 442 grams of filament. • SpaceXAI Grok 4.7 did not finish. On assembly it could not stand up by itself. It took 12 hours and 22 minutes to print 29 parts and used 460 grams of filament. • Kimi K3 did not finish. It wasn’t engineered correctly so the bridge could not even be assembled. It took 11 hours and 19 minutes to print 35 parts and used 446 grams of filament. That means our champion for this episode is Claude Opus 5.5. Not only did it hold the most weight (by FAR) it also took the least time to print, used the least amount of parts and used the least amount of filament. This was episode 02 of Agent Wars, stay tuned for episode 03.

y'all realize ai can’t kill all humans if we just shut off the power grid right? like that is 100% something we can do as humans none of this ai apocalypse silliness is “inevitable” the solution is pretty simple if the threat is actually real

SO-ARM 102 goes open source in September. - A parallel gripper, so the jaws stay parallel through the whole stroke instead of rolling the object as they close. - PET-CF instead of PLA+, for a much stiffer frame. - A topology-optimized structure, which is where the lattice in the video comes from. - Wider rotation and folding angles. - STS 3250 servos. Against SO-101 that adds up to 2.5x payload, roughly 2x positioning accuracy, roughly 1.6x movement speed, and about 36 mm more reach. It runs on Hugging Face LeRobot, so datasets, policies and tutorials written for the platform work on it from day one. The pair in the video shows why that matters. You move the leader by hand, the follower copies, and what comes out is a recorded demonstration a policy can learn from. Everything goes public in September. #robotics #LeRobot #opensource #3dprinting @therobotstudio @LeRobotHF

We are getting our asses kicked in robotics in the US Pudu is a Chinese company most people haven’t heard of and they have > 130k robots deployed. Tens of thousands of those in the US The sweeping robots sell for the price of a small new car ($35k) No reason why we can’t build them here. We need more robotics companies, and we need to build the hardware here. It’s possible.

Interesting trend: CTO/ Head of Eng / VPE folks at startups and mid-sized companies are... leaving / burning out. Hiring for these roles is HARD, but even after filling the role, they will often leave a few months later and take a career break And they have v good reasons