@sergiumogan@BrogleJan@UVEK@BR_Sprecher hands-on requirement basically makes this a pointless demo. I guess this is also the reason why tesla doesn't even bother to submit an application as they don't want to deploy a degraded user experience.
Hannes Mühleisen just revealed the Next Big Thing for DuckDB at AI Council 2026: Quack, a protocol that turns DuckDB into a client-server database.
True to DuckDB's philosophy, Quack is simple and fast. You can set it up in seconds and it delivers high-performance remote access, turning DuckDB into a full-fledged general-purpose database system.
We are very excited to see the possibilities Quack will unlock, from serving multiple concurrent writers to creative architectures with several DuckDB processes talking to each other. The ingenuity of our community never ceases to amaze us and we're certain that we'll see many use cases we did not even think of.
For now – follow the link in the thread, give it a spin and let us know what you think. Happy quacking!
Every one of these dots is an actual crash from the fleet. Real world speeds, collisions, and people. Not just the regulatory test cases.
The richness of this data is what enabled the result. With simulation we can replay the crashes and measure the forces on the human body model.
Then sweep through restraint deployment times to find that deploying earlier gives the time for the bag to be inflated optimally and seat belt pretension before the occupant has moved out of position.
But it takes time for crash accelerometers to be certain. Lowering that time threshold risks unwanted deployments.
Using vision gives the vehicle confidence to reduce that timing. The camera sees the impending impact and together with the sensors tell the restraint controller to reduce the filter and act sooner.
The Y Axis shift in Predicted Injury Severity is based on sensors in the human body models from rerunning the crash simulations with the faster detection threshold.
Such a reduction in injury severity across the spectrum is unheard of, let alone doing this via an update over the air.
I'm extremely proud of the analysis team's work and dedication. Going above and beyond to ask "we have the safest car on the road but can we make it even safer?" And then working with the vision team to build the predictions needed to make it happen. Rigorously tested in simulation and then in physical crash testing. Now deployed and improving lives.
I watch the video on loop and just imagine each dot, a person.
@_Evan_Boyle is there a way to enforce copilot cli to a hard pre-defined JSON schema output? basically let copilot iterate until the output is really schema compliant.
@pierceboggan@k_krastew@GHchangelog where is it in the enterprise settings? can‘t find it. I can only see the one in the org which is enforced to disabled.
@JoeTegtmeyer that also implies that the other line might produce other products. basically it only denies that the non-production line doesn‘t. the cybercab itself is obviously not meant for manual driving (seating/steering position/integration).
De toekomst van mobiliteit is aangebroken
FSD Supervised has been approved in the Netherlands 🇳🇱 & will begin rolling out in the country shortly!
Trained on billions of kilometers of real-world driving data, it can drive you almost anywhere under your supervision – from residential roads to city streets & highways
No other vehicle can do this.
We're excited to bring FSD Supervised to more European countries soon
@burkeholland do you know if copilot code review (CCR) has agent skills support? we would like to force it to react pattern skills which should be followed and we would like to avoid to copy them to the instruction files.