CNBC’s Julia Boorstin joins ‘Money Movers’ to discuss Hollywood’s high stake AI investment, particularly for visual effects.
Understanding AI psychosis
For some people who are developing relationships with AI tools, the technology is inducing delusions or distorted beliefs, a phenomenon referred to as “AI psychosis.” Dr. John Torous, psychiatrist for Beth Israel Deaconess Medical Center, joined “The Takeout” to discuss.
Research Advances in AI-Assisted Material Generation for Physical AI
Digital twins are vital for the training and testing of physical AI that can understand and perform complex actions in the real world. But building digital twins is slow and tedious. NVIDIA’s latest generative AI and rendering research showcases the potential to dramatically accelerate and scale these workflows.
These breakthroughs combine NVIDIA Cosmos World Foundation Models and advanced rendering technologies to allow developers to pair AI assistants with experts at the heart of digital twin and physical AI development. In these future workflows, experts will engage with AI assistants using simple language to quickly generate realistic, physically accurate base materials for 3D models. They can then fine-tune generated materials, adjusting properties such as roughness and texture to better reflect the real world.
This research, along with the workflows it enables, showcases the potential to quickly transform 3D models into large-scale, simulation-ready digital twins that can be used to train safe and efficient physical AI.
AI-generated music sparks industry concern
Music generated by artificial intelligence, which can take only two minutes to produce, has sparked ethical concerns in the industry.
ChatGPT Evolution GPT-3 | GPT-4 | GPT-5 Visual Comparison
Use this prompt to make your own visualizations in ChatGPT with GPT-5:
“Create an interesting and engaging visualization using html/javascript. Use the Canvas tool so I can run it here. Make the animation as high quality and visually engaging as you possibly can.”
Investors are worried AI is going to eat software
Brent Thill, Jefferies, joins ‘Fast Money’ to talk what is behind Monday.com seeing its worst trading day ever.
The Illusion of Thinking | Apple Just Exposed AI’s Fake Reasoning
Apple dropped a paper that challenges everything we believe about reasoning in AI. Titled “The Illusion of Thinking”, it reveals how models like Claude, and DeepSeek fail dramatically when faced with real logical complexity.
Chinese humanoid robot freaks out New Yorkers
Kurt ‘CyberGuy’ Knutsson discusses the Trump administration’s artificial intelligence plan and a humanoid robot experiment in New York City on ‘Fox & Friends.’
Sam Altman Shows Me GPT 5… And What’s Next
In the interview with Sam Altman by Cleo Abram, the CEO of OpenAI discusses the recent release of Chat GPT-5 and the future of artificial intelligence. The conversation explores the potential impacts of AI on society.
The Power and Capabilities of GPT-5
- Altman states that GPT-4 was the “dumbest model any of us will ever have to use again” and describes GPT-5 as “quite remarkable,” with much-improved capabilities in various tasks, including writing and coding.
- He highlights an example of using GPT-5 to recreate the game of Snake for a TI-83 calculator in seven seconds, demonstrating the model’s ability to create software almost instantaneously.
The Path to Superintelligence and Future Challenges
- Altman predicts that a large language model will make a significant scientific discovery within the next two years. He defines superintelligence as a system that can exceed human capabilities in almost every field.
- He discusses the blurring line between real and fake media, and acknowledges that some jobs will disappear, but believes that young people will have new opportunities for creation and innovation. He expresses more concern for older workers who may be less willing to retrain.
Key Limiting Factors in AI Development Altman identifies four main limiting factors for AI development:
- Compute: The demand for AI far outstrips the current supply of compute power.
- Data: Models are so advanced that they need to be taught how to discover new things and create their own new data.
- Algorithmic Design: Altman believes there are still many “orders of magnitudes of algorithmic gains ahead.”
- Product Integration: Scientific progress is limited if it isn’t integrated into products that people can use.
Reflections and Final Advice
- Altman notes the “vertigo-inducing” rate of change and the need for humility and new solutions.
- He believes that society has a shared responsibility in shaping the future and advises people to prepare for the future by using AI tools to get fluent with their capabilities.
GPT-5 has Arrived
GPT-5 will change how hundreds of millions of people use AI. Yes, you might have to forgive the chart crimes, the underwhelming livestream and Altman hype… But it’s a good model. I have read the 50 page system card in full, have the benchmark scores, coding tests, and things you might have missed.