xAl's Mind Blowing Grok 4 Demo w/ Elon Musk (FULL REPLAY)
2 sections
- 16:34Uses post-Newtonian approximations for visualizing black hole mergers, aiming to incorporate more accurate physics in the future.
- “It uses like post post Newtonian approximations instead of actually like computing the general relativistic effects near the center of the black hole, which is incorrect and will lead to some incorrect results.”16:34
- 20:24Model achieves high accuracy on benchmarks like HLE and USMO, with ongoing improvements in multimodal understanding and vision capabilities.
- “It often has a large leap against the second best model on benchmarks, aiming for every answer right and disambiguating questions.”20:24
- 30:51Grock 4 is utilized across sectors like biomedical research for hypothesis generation, finance for market analysis, and game development for asset sourcing.
- “Grock 4 helps scientists to analyze experiments quickly and is used in fields like biomedical research and radiology.”30:51
- 34:20Rapid progression from Groc 3 to Groc 4 illustrates fast advancements in AI, with expectations of AI-generated video games and movies within a year.
- “AI progression from Groc 3 to Groc 4 is rapid, with breakthroughs like making 3D video games in hours and upcoming entertainment in months.”34:20
- 35:14Upcoming versions will enhance multimodal perception, video understanding, and coding expertise, enabling more sophisticated AI tasks like game-playing and video creation.
- “The upcoming model improvements will substantially enhance multimodal and visual understanding, enabling more complex tasks like video creation and gameplay.”35:14
- 0:52Grock 4 exhibits reasoning at a superhuman level, achieving perfect SAT scores and outperforming most graduate students across disciplines.
- “AI is advancing vastly faster than any human, reaching superhuman reasoning levels and outperforming graduate students across disciplines.”0:52
- 2:03Grock 4's training is 100 times larger than Grock 2, significantly boosting its intelligence and reasoning abilities, with continuous growth expected.
- “We have increased training by a factor of 100 times from Grock 2 to Grock 4, with continuous growth expected.”2:03
- 3:40Grock 4 excels in complex academic benchmarks, including humanities exams with expert-curated questions, surpassing human capabilities at postgraduate level.
- “Grock 4 can solve postgraduate level problems across many subjects, surpassing human experts with a significant margin.”3:40
- 5:44AI like Grock 4 could discover new technologies and physics within a year, drastically advancing scientific progress.
- “AI may discover new technologies and physics within the next year, drastically accelerating scientific progress.”5:44
- 8:25Grock 4 interacts with tools and robots, enabling real-world problem solving and hypothesis testing, moving toward practical applications.
- “Integrating AI with tools and robots will enable real-world hypothesis testing and practical problem solving.”8:25
- 10:13AI's development could expand the economy thousands or millions of times larger, pushing civilization toward more advanced energy and societal scales.
- “AI development could expand civilization’s energy use and economy by a factor of millions.”10:13
- 10:51While AI's intelligence growth is unnerving, it is likely to be beneficial if aligned with human values, fostering honest and good outcomes.
- “While the growth of AI can be unnerving, it’s most likely to benefit humanity if aligned with proper values.”10:51
- 11:34As AI models grow smarter, challenges include data bottlenecks and diminishing challenging problems, requiring innovative solutions beyond just compute power.
- “Beyond compute, solving data bottlenecks and maintaining challenging problems are key to further AI progress.”11:34
- 12:29The ultimate measure of AI's reasoning is its ability to understand and predict the physical universe accurately, with simulations and real-world tests as benchmarks.
- “Physics and reality remain the ultimate tests of AI reasoning, with simulations and experiments as benchmarks.”12:29
- 13:03Using multiple AI agents working in parallel improves problem-solving performance, solving over half of complex humanities questions effectively.
- “Multiple AI agents working together in parallel can solve complex problems more effectively, surpassing single-agent approaches.”13:03