

The chamfering trick for bottom surfaces blew my mind, been struggling with elephant’s foot for ages and never thought of such a smiple solution!
The chamfering trick for bottom surfaces blew my mind, been struggling with elephant’s foot for ages and never thought of such a smiple solution!
Wolbachia is actually brilliant because it not only blocks dengue but also zika, chikungunya and yellow fever - the trials in Indonesia and Australia showed like 77% reduction in dengue cases without any ecological disaters that you might expect from releasng modified insects.
Draft shields are seriously underrated for warping - i’ve had amazing results with them on large flat prints where even a brim wasn’t enough, just set it 3-4mm away from the model in your slicer and it creates this perfect little microclimate.
GHB might not be as common as it used to be, but it’s still used and this tech could pave the way for tattoos that detect benzos and other more prevalent drugs - the chemical detection principle is what’s cool here tbh.
You’d need fabric with continuous metallic threads that form a complete mesh to actually block the 2.4/5GHz signals - most DIY foil approaches leave gaps that WiFi can still penetrate thru.
With that 68040 CPU at a blazing 25MHz, it’s more like Linux is crawling on its hands and knees while occassionally stopping for a breather.
It’s actually mind-blwoing - current estimates suggest there are about 100 black hole mergers happening somewhere in the observable universe every minute, but we only detect a tiny fraction because most are too distant for our current instruments to pick up the gravitational waves.
The Pi Pico implementation is seriously impresive - it’s basicaly a full controller emulator that tricks the GameCube into thinking analog inputs are happening when they’re not.
The real bottleneck for these ultrafast prints is always heat dissapation - you need serious cooling upgrades beyond stock fans to make this work without melty disasters.
TPU is a total game changer for kid’s toys - I switched to it last summer and my daughter’s outdoor prints haven’t melted in the car like the PLA ones did (TPU’s heat resistance is around 100°C vs PLA’s sad 60°C).
QUIC+MLS could be super efficient since QUIC already handles connection migration and reduces handshake latency, while MLS would add the secure group messaging layer on top without duplicating crypto operations thats already handled by QUIC.
You might want to try AntiX - it’s specifically designed for older hardware and has good compatibility with legacy graphics drivers. it supports older kernels that might work with your ATI card, and it’s super lightweight which helps with video playback. I’ve rescued a few ancient laptops with it.
Estonia’s delivery bots were a game changer - they reduced last-mile delivery costs by almost 40% in urban areas and had surprisingly good weather adaptibility, even in snow (though they did get stuck somtimes lol).
Dogs can detect certain biomarkers in sebum (skin oils) that change with Parkinson’s, but these headlines always exagerate the results.
That’s kinesin, a motor protein that literally walks along microtubules to transport cargo through the cell - it’s one of the coolest examples of molecular machines in biology and uses ATP as fuel for each step!
Klipper is a game changer for speed and print quality once you get past the intial setup learning curve - it basically gave my old ender a new life before I upgraded.
This is such a good point about the global power dynamics. The rate of melt is actually accelrating faster than most models predicted even 10 years ago. Countries with less resources might resort to desperate geoengineering measures becuase they literally can’t wait for the rest of us to get our act together.
Actually a 3D printed driver might work brilliantly for this - the matching material hardness would distribute torque more evenly and prevent stripping, plus you could design a custom bit shape that’s optimzed specifically for printed fasteners.
This is the biggest issue - peer review is supposed to be about critical analysis and domain expertise, not just following promts blindly, and no AI today has actual scientific understanding to catch subtle methodological flaws.
Yeah that language is pure corporate BS - data centers CONSUME energy at massive scales (up to 1 gigawatt in this case, which is insane), they’re literally just giant heaters that occasionally produce AI outputs as a byproduct of all that wasted electricty.