Kiril

[Kiril @kpvtronic]

@im_the_giulio @forgegui And marketing\sales skills

[Kiril @kpvtronic]

@jli_design "the code works fine" - 80 percent of the time. 50 percent of feature promises kept :)

[Kiril @kpvtronic]

@jli_design Brilliant, just missing sound effects

[Kiril @kpvtronic]

@Bootsblac @opengeometry Curious about your rendering pipeline. Showing off toys is one thing, performance at scale is rare among cad apps. This is a prime failure of revit. Interactivity is pure nonsense even at medium scales(yes I use a modern 8GB quadro gpu).

[Kiril @kpvtronic]

@Phoneeeeeeee3e I think it also has very much to do with degree of intellectually clarity one has about a specific goal and implementation - i.e. "taste" is developed by many accumulated observations and causal identifications.

[Kiril @kpvtronic]

@p1nosaur Can you share the technical stack your using - tech and methods?

[Simplifying AI @simplifyinAI]

Fine-Tuning is officially a waste of money.. 💀

Stanford and Sambanova dropped a paper called "agentic context engineering" (ACE) and it is mindblowing. Instead of treating a prompt like a static text box, ACE turns it into a living playbook.

They split the AI into three distinct roles: A Generator (does the work), a Reflector (analyzes the failures), and a Curator.

When the AI makes a mistake, the Curator doesn't rewrite the whole prompt. It applies targeted, surgical "delta updates."

It adds a single rule. It tweaks one specific heuristic.

The AI learns entirely from its own execution feedback. Did the code run? Did the tool work?

Zero human labels required.

The results completely rewrite the economics of AI agents.

Tested on the AppWorld leaderboard, a small, open-source model using ACE didn't just compete with the most expensive, proprietary enterprise agents on the market.

It matched them. On the hardest tests, it actually beat them.

All while reducing adaptation latency by 87%.

[stash @stash_pomichter]

we put Openclaw on a drone and it built its own CUSTOM SKILLS to track objects and navigate

here we asked it to “patrol the skies around the office and follow the first white car you see”

and now we’re open sourcing everything 👇🏽

use Dimensional to give your agents a body

[Sawyer Merritt @SawyerMerritt]

Self-driving truck on the highway in China. No driver, no cab.

[Jon Bruner @JonBruner]

This is a CT scan of an Intel 386 processor from the mid-1980s that we ran for @kenshirriff! He used it to produce the first ever public mapping of the package, and he discovered an interesting manufacturing step along the way.

Link below... 👇

[Kiril @kpvtronic]

Twitter > X > FOMO

[Sipeed @SipeedIO]

A mini digital microscope built with #RISCV #MaixCAM, compact and no larger than a smartphone!

[Wevolver @WevolverApp]

DuaArm: Robotic Arm Designed for Safe Collision with the Environment

Developed by Duatic AG in collaboration with @ETH, the DuaArm features custom actuators that set new performance standards. Its compact design and powerful output are reshaping robotics technology.

Video source: Duatic AG

#robotics #technology #engineering #stem #innovation #robots

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[Elon Musk @elonmusk]

Unmodified video stills transmitted via Starlink

[Kiril @kpvtronic]

@CHENYAO981123 Loved it! Feel free to share more 🙌

[CHEN YAO @CHENYAO981123]

Question: How to build a robotic arm quickly ？
Answer: Turn on video acceleration.

[Wevolver @WevolverApp]

Facing higher defect rates and complex quality standards, metal fabrication needs modern solutions.

@matroid is revolutionizing quality control with accessible, no-code computer vision that detects defects in real time, even on intricate welding parameters like porosity and spatter.

Learn more: https://t.co/Prolc0rexS

#AI #welding #ComputerVision #MetalManufacturing #technology #engineering #stem #innovation

[Elon Musk @elonmusk]

8 minutes to liftoff of Starship!
https://t.co/Ngu7VnFsh9