🏎 Ferrari unveils its first electric car with ex-Apple designer Jony Ive

Ferrari officially introduced Luce, its first fully electric vehicle, designed together with LoveFrom, the studio of former Apple design chief Jony Ive.

The car is a major shift for Ferrari. Luce is the brand’s first 5-seat model, with automatic rear suicide doors and enough back-seat space for passengers over 190 cm tall. MKBHD called it the best rear row Ferrari has ever made.

Luce uses 4 electric motors with one motor per wheel and a 120+ kWh battery. The top Performance mode delivers 725 kW and 0–100 km/h in 2.5 seconds.

But most attention went to the interior. Ferrari removed nearly all visible plastic. Controls are made from metal, leather, and glass. Even the key is a metal rectangle that magnetically docks into the dashboard to start the car.

The starting price is around $640,000.

The reactions online are split between “future classic” and “what happened to Ferrari.”

📊@tech

🧱 LEGO WALL-E Robot with Taser

YouTuber Crostplay2 spent 6 months converting a LEGO WALL-E set into a robot with motors, movie sounds, LEDs, a gyroscope, and a 2,000-volt taser module.

It’s controlled via a PlayStation 4 controller over Bluetooth using an ESP32 microcontroller and the Bluepad32 library.

WALL-E moves on two motors with tank controls. Custom 3D-printed mounts and gears replace LEGO parts to handle the motors. The head mimics controller tilt with the gyroscope.

The taser module is relay-controlled and used briefly to ignite objects, adding a surprising feature to the build.

📊@tech

🖥 Microsoft open-sources SkillOpt for agent skill tuning

Microsoft released SkillOpt, a framework that improves agent abilities by editing markdown skill files in the background. It runs a learning loop in text space, logging agent actions and suggesting small skill file updates after verification on a test set.

SkillOpt works by iterating on files, applying minor changes that pass safety rules and verification before adoption. This prevents large accidental regressions while boosting performance.

The framework shows consistent gains across models and benchmarks. On GPT-5.5, Codex and Claude Code saw average improvements of +21.8 and +18.6 respectively. The project includes code, overview, and usage instructions.

📊@tech