The Apple Vision Pro has suffered from indecisive leadership under Tim Cook!
New Apple CEO John Ternus sees a bright future in Vision Pro and we could see the product live up to its full potential
Source: 9to5Mac
Airdrop farming with $500 spread across 12 protocols?
You're competing against whales pooling millions.
The Airdrop Vault flips the table. Pool capital. Hit meaningful thresholds. Share the upside proportionally.
Stop feeding on crumbs.
How does this man keep on lying without getting hit in the face (figuratively)
There is no 1 click earning. FAssets is a click UX disaster.
Click 1: XRP > FXRP (this earns nothing)
Click 2: FXRP > stFXRP
Click 3: claim rewards
Click 4: stXRP > FXRP
Click 5: FXRP > XRP
and every click you pay fees..
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True.. let’s say she was trying to run him over with the wheels straight (which clearly is not the case as the wheels point right) then shooting her would actually increase the chance of getting run over. A dead/hurt person less likely to break.
All he has to do is take a half step to his right, which he already does. The shot was 1000% unnecessary to increase his chance of survival.
1. She had no intent to kill the agent or she would have already done that upon arrival.
2. When switching gears you release the brake, then start turning the wheel. This does not happen instantaneously
3. The wheel keeps turning direction to the right. At no point do they stay fixated
4. The vehicle is not moving a high speed, and it takes the officer a half step to move out of the way.
5. When he shoots the wheels are already pointing right of straight, to avoid collision
6. He first shoots when he is no longer in danger. If the car was going straight this would not have saved him.
7. Second shot from the side when he is not in danger.
Nvidia CEO Jensen Huang in new interview today on @Tesla’s FSD:
“I think the Tesla stack is the most advanced autonomous vehicle stack in the world. I’m fairly certain they were already using end-to-end AI. Whether their AI did reasoning or not in somewhat secondary to that first part.”
Via Bloomberg with @EdLudlow
I'm in the Nvidia Q&A with Jensen and someone just asked the difference between Alpamayo and Tesla FSD
Jensen said:
“As to your second question: Tesla’s FSD stack is completely world-class. They’ve been working on it for quite some time. It’s world-class not only in the number of miles it’s accumulated, but in the way it’s designed—the way they do training, data collection, curation, synthetic data generation, and all of their simulation technologies.
Of course, the latest generation is end-to-end Full Self-Driving—meaning it’s one large model trained end to end. And so… Elon’s AD system is, in every way, 100% state-of-the-art. I’m really quite impressed by the technology. I have it, and I drive it in our house, and it works incredibly well.
Alpamayo was designed around a different idea. The first difference is that NVIDIA doesn’t build self-driving cars—we build the full stack and the technology for everybody else to build self-driving cars. And we build—like we do for humanoid robotics—three computers: the training computer, the simulation computer, and the robotics computer, which is the self-driving car computer. We have software stacks across all of that.
Our customers can use all of it, some of it, or parts of it—whatever makes sense for them. And so we’re working with the entire industry—Tesla for their training system, Waymo for the car computer, and XPeng. Nuro—who I think just announced they’re going into the robotaxi business—with Lucid and Uber; and NVIDIA is part of that.
So our system is really quite pervasive because we’re a technology platform provider—that’s the primary difference. There’s no question in our mind that, of the billion cars on the road today, in another 10 years’ time, hundreds of millions of them will have great autonomous capability. This is likely one of the largest, fastest-growing technology industries over the next decade.
And the last thing we do is: we open-source everything. If a customer would like to use the model that we train, they’re welcome to do that. If they would like to use our model technology but train it themselves, we even help them do that. We’re not a self-driving car company—we just want to enable the world’s autonomous industry. Everything that moves should be autonomous.”