Afly
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Marc Andreessen highlights why the people who work for Elon Musk echo the exact same sentiment as those who worked for Steve Jobs. Even after difficult interactions or a sudden departure, they inevitably report that they did the best work of their entire lives because they were pushed to their absolute limits.
What drives this intense environment is a demand for truth-seeking at all costs. People who criticize Elon often miss this fundamental trait. He genuinely wants to know the ground truth and has zero tolerance for anything else. When confronting bad news, he is absolutely ruthless and relentless in making sure he understands exactly what is actually going on.
This level of radical transparency is shockingly rare in the business world. The typical startup founder operates on forced optimism, constantly putting on a brave face, telling everyone to have faith, and promising that everything will be great just to keep talent from leaving.
Elon completely flips that standard script. He operates with pure urgency by simply telling the unfiltered truth, even when that truth is that the company will go bankrupt and die if they fail. In almost any other corporate environment, that level of blunt, existential dread would cause the talent pool to immediately bleed out.
But for the teams working under him, that brutal honesty acts as the ultimate catalyst. It strips away the corporate fluff and forces them to rise to the occasion, leaving them with the undeniable realization that, much like the engineers who built the first iPhone, they just completed the greatest work of their careers.
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@SawyerMerritt Well that’s just exactly what Tesla is doing 😂
What they will find is that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.
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NEWS: NVIDIA just announced Alpamayo, what CEO Jensen Huang calls the world’s first thinking, reasoning autonomous vehicle AI, launching on U.S. roads later this year, starting with the Mercedes CLA.
Jensen: "It's trained end-to-end. Literally from camera in to actuation out; It reasons what action it is about to take, the reason by which is came about that action, and the trajectory."
Alpamayo introduces Vision-Language-Action (VLA) models, which enable self-driving systems to interpret what they see, reason about complex driving scenarios, and generate driving actions. The platform includes large reasoning models, simulation tools for testing rare and edge-case scenarios, and open datasets for training and validation.
NVIDIA says the approach improves transparency, safety, and robustness in autonomous systems, particularly in complex real-world environments, and supports progress toward higher levels of vehicle autonomy:
"With a 10-billion-parameter architecture, Alpamayo 1 uses video input to generate trajectories alongside reasoning traces, showing the logic behind each decision. Developers can adapt Alpamayo 1 into smaller runtime models for vehicle development, or use it as a foundation for AV development tools such as reasoning-based evaluators and auto-labeling systems. Alpamayo 1 provides open model weights and open-source inferencing scripts. Future models in the family will feature larger parameter counts, more detailed reasoning capabilities, more input and output flexibility, and options for commercial usage."
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