The world has much higher entropy than any benchmark, or set of benchmarks. Therefore no amount of benchmark acing can guarantee your AI has a good world model. The only valid test of AGI is how well your AI does in the real world. No body, no AGI.
SAFETY
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Context Rot Term Should Be Used More Frequently
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Context Rot is an excellent term and should be used more often
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Verifying AI Code Output Through Compilation and Testing
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In some cases, you CAN verify the output: codes can be run through a compiler and their test suite, for example
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Promoting Responsible AI Engineering Against Hype and Overpromising
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another important agenda i had was to push "responsible" ai engineering forward in as mass appealing a way as possible – a very difficult thing to do in a world of extreme hype tweets and flashy overpromising overproduced videos. https://
x.com/aiDotEngineer/
status/1950635169133797517
… so honored/happy to have -
Trust and Explainability Key to Autonomous Vehicle Adoption
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Trust is key to AV adoption. “Only when cars can explain their actions like a driver can—will they be trusted like one,” Tin Son stated.
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Transparency Drives AI Adoption: Towards Physics-Aware Models
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Transparency and explainability will shape public adoption more than just technical milestones. So what’s next? Models that understand space, time, & physics.
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Data-Centric Development and Autonomous Vehicle Safety Insights
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Learn more about data-centric development, safety-related insights, and the leap to adopt fully autonomous vehicles.
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Simulation trains autonomous vehicles for rare safety scenarios
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Simulation and synthetic data help AVs train for rare events—like a helicopter landing on the road. Safety starts in a virtual space. Porsche uses high-fidelity simulation to test what’s too rare or risky to capture in the real world.
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Data-Centric Approach Revolutionizes Autonomous Vehicle Safety
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Why the shift?
Because real-world driving is too complex to pre-program. Data is the new engine. Billions of kilometers + labeled data + edge cases = safer autonomous vehicles. “We’ve moved away from the rules and handwritten components… to a data-centric approach,” Brian -
Autonomous Vehicles Breakthroughs: NVIDIA AI Podcast Discussion
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Porsche’s Tin Son and Voxel51’s Brian Moore joined the NVIDIA AI Podcast to unpack the latest breakthroughs and challenges in autonomous vehicles.