Gary Marcus Questions AI Progress Since GPT-4
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OpenAI is making waves again. They are working on new AI models that could change the game. They might involve health scientists and assistant API scientists. These models could help diagnose health conditions. They could provide critical support in healthcare.
There's a lot of excitement around Luma Dream Machine 1.5. This new text-to-video model will launch next week. People are thrilled because it is mostly free. It allows users to have a start image and an end image. This gives more control over the video creation process.
Luma was quick to roll it out before other companies. It could lead to a burst of new content. Whether you like AI or not, it's here to stay. Embracing it might be the best way forward.
Another big update: A new high score of 46% on the ARC AGI benchmark. This score measures reasoning in ways traditional benchmarks don't. The human baseline score is 85%. This test shows how well AI can solve problems it hasn’t seen before.
Francois Chollet invented this benchmark. He explains that many AI models train on text from the internet. Because of this, they might get the same questions used in tests. This is called "contamination." It means the AI might just repeat answers it has seen before.
The ARC AGI benchmark aims to avoid this problem. It evaluates the AI’s ability to reason about new problems. This is more like human thinking. Imagine taking a test with answers you’ve never seen before. That's what this benchmark aims to replicate.
With all these new developments, the field of AI continues to grow. OpenAI and other companies push the boundaries. They create tools that could reshape many industries. From healthcare to content creation, AI’s impact is undeniable.
It’s an exciting time in the world of AI. As new models and benchmarks emerge, the possibilities seem endless. Keeping an eye on these advancements can help us understand the future of technology.