ELON

Sometimes I ask myself if this is true

We're building a surgical robot capable of reaching any brain region. The goal: a generalized neural interface to help solve any condition that originates in the brain.

Elon Musk: "If you punish people too much for failure, then they will respond accordingly, and the innovation you will get will be very incrementalist Nobody's gonna try anything bold for fear of getting fired or being punished in some way. So risk-reward must be balanced and favor taking bold moves, otherwise it will not happen"

Grok connections work flawlessly You connect your apps once on the web → they instantly sync across web, iOS, and Android Quick example: I asked Grok to add my flight check-in to Google Calendar… and it did it perfectly in seconds And it also gave me the link to view/edit

Full duration and full thrust 33-engine static fire with Super Heavy V3

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Your customer support needs a voice agent built for the real world. Grok Voice Think Fast 1.0 handles complex workflows with speed and accuracy, even in hard-to-hear environments. From multi-step troubleshooting to high-volume tool calls, it keeps up.

Joe Rogan bet Elon Musk $1 that he could pierce the Cybertruck with his compound bow The arrow literally exploded against the stainless steel exoskeleton… and barely scratched it 😂

Tesla Vision allows us to deploy airbags up to 70 milliseconds earlier if your Tesla detects an unavoidable collision This can be the difference between serious injury & walking away from a crash

The real objective behind this is to censor X. Those in power understand that if people were allowed to speak freely, they would lose the next presidential election.

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.