60 Minutes Rewind. Whether you think artificial intelligence will save the world or end it, you have Jeffrey Hinton to thank. Hinton has been called the godfather of AI.A British computer scientist whose controversial ideas help make advanced artificial intelligence possible and so change the world. Hinton believes that AI will do enormous good, but tonight he has a warning. He says that AI systems may be more intelligent than we know and there's a chance the machines could take over, which made us ask the ...

Joining us now with more on the legal landscape for big tech, he's probably laughing. Former assistant attorney general, uh, Jonathan Caner. He is a distinguished law professor for, uh, the Washington University in St.Louis. Great school, great town, and a, uh, CNBC contributor. Welcome again, Jonathan.We usually see you on set. It's great to be here. I'm here in beautiful Stow, Vermont today.Lovely. What do you think of this. What what number one is it is there any possibility that perplexity could could u ...

Historical Context & Evolution of AI - The field of AI began in 1956 with the vision of simulating human intelligence [1] - AI experienced "AI winters" in the 1970s and 1990s due to unmet promises [3][4] - A turning point arrived in the 2000s with researchers like Jan Leun, Joffrey Inton, and Joshua Benjo, who focused on machine learning from data [6][7] - Alexnet's image recognition capabilities in 2012 marked another significant advancement [10][12] - The release of Chat GPT by Open AI in November 2022 led to rapid adoption, reaching 1 million users in 5 days [15][16] Company's Journey & Business Impact - The company recognized the need to make AI accessible and understandable to a wider audience [2] - Initial challenges included convincing businesses of AI's practical value [6] - The company observed a shift in 2020 when businesses started recognizing AI's potential to save time and money [8] - The company established an AI observatory and witnessed AI transforming from science fiction to a business driver [9] - The company launched the AI week, a European fair for AI, to connect experts and those seeking to understand AI [14] - The company created AI Play, a platform for learning AI in a simple and on-demand manner [18] Current Landscape & Future Outlook - Europe released the AI Act, the first regulation on AI, addressing rights, risks, and opportunities [19][20] - A global race for leadership in AI is underway, involving companies from Silicon Valley, China, and others [20] - The company has evolved into an ecosystem of 20 people, creating content, training individuals, and organizing events [21] - The company acknowledges the ongoing evolution of AI, including robotics, agents, multimodality, and general AI, while emphasizing that no one has all the answers [22] - The company views AI as a tool that is neutral and requires human direction to determine its impact [23][24]

Five things to know ahead of today's opening bell. Toyota says it expects a nearly $10 billion profit hit due to President Trump's tariffs on cars imported to the US. That's the highest forecast yet by any company.Toyota's finance chief said the total includes fallout that suppliers are facing. Profits at Elf Beauty fell 30% in the company's fiscal first quarter. Duties on Chinese imports beginning to affect the cosmetic industry's bottom line.Softbake reporting a $4.8% billion rise in the value of its visi ...

How about 5 months ago after Trading View officially announced their partnership with Open AI, you know, the creators of the well-known chatt, they integrated smart AI into their charts, which is now available in developer mode. These AI powered tools can accurately predict coin movements by analyzing multiple factors. And what they do is they help you see which coins large investors have been accumulating over the past few years to potentially drive them to the moon and which ones might not be worth buying ...

AI Model Architecture Discovery - The AI field is approaching an era where AI can discover new knowledge and apply it to itself, potentially leading to exponential innovation [1][3] - The current bottleneck in AI discovery is human innovation, limiting the scaling of AI advancements [2][3] - The "AlphaGo moment" for model architecture discovery involves AI self-play to hypothesize, code, test, and analyze new model architectures [3][12] - The key to this approach is AI's ability to learn without human input, discovering novel solutions unconstrained by human biases [8] ASI Arch System - The ASI Arch system uses a researcher, engineer, and analyst to autonomously propose, implement, test, and analyze new neural network architectures [13][14][15][16] - The system learns from past experiments and human literature to propose new architectures, selecting top performers as references [14] - The engineer component self-heals code to ensure new approaches are properly tested [15] - The analyst reviews results, learns insights, and maintains a memory of lessons learned for future generations of models [16] Experimental Results and Implications - The system ran 1,700 autonomous experiments over 20,000 GPU hours, resulting in 106 models that outperformed previous public models [17][18] - The potential for exponential improvement exists by increasing compute resources, such as scaling from 20,000 to 20 million GPU hours [19] - The self-improving AI system can be applied to other scientific fields like biology and medicine by increasing compute resources [20] - The open-sourced paper and code have significant implications, with multiple companies publishing similar self-improving AI papers [21]

Korean Internet Giant Kakao Teams With Open AI To Jumpstart Growthhttps://t.co/jMHZYQftpB https://t.co/N0zrJcHiTQ ...

AI Strategy & Development - Apple is considering using OpenAI or Anthropic to power Siri, acknowledging its in-house AI limitations [1][3] - The market anticipates an upgraded Siri enhanced by AI, but details and timing remain unclear after the developers conference [3][4] - Integrating OpenAI or Anthropic's expertise is viewed as a positive step for Apple's AI development [3][4] Market & Competitive Pressures - Tariffs and weak sales in China, due to competitive pressure and the lack of a robust AI smartphone, pose challenges for Apple [5] - China sales showed slight improvement in the March quarter compared to the December quarter [5] Potential Competition - OpenAI's $64 billion investment in Johnny Ive's company for AI device development is seen more as a defensive move than a direct threat to Apple [6][7] - The industry views OpenAI's hardware efforts as an attempt to diversify and reduce dependence on Apple and Google's ecosystems [7] Analyst Perspective - Tom Forte, a senior consumer internet analyst at Max Group, has a "hold" rating on Apple stock with a price target of $201 [1]

AI Development & Competition - Meta's ability to achieve its AI goals is questioned as competition intensifies [1] - The presumption of knowing how to build super intelligence is a mistake [2] - Current AI techniques have yielded limited return on investment, with approximately $500 billion spent and only around $20 billion in revenue generated [3] - The AI landscape may not produce numerous winners, with Nvidia currently benefiting as a key supplier [5] Market Dynamics & Strategy - The distribution of Llama models has allowed competitors to catch up, potentially leading to a crowding effect in large language models [6] - The focus on large language models is a lack of diversification in AI research [10] - The industry is largely copying existing approaches instead of innovating [10] - The current strategy of racing on the same hardware and software platforms is not optimal for research or competition [12] Regulatory Landscape - Big tech companies, including Meta, are pushing to restrict states from regulating AI, which may not be in the public's best interest [8] - A national AI strategy is needed to compete with China, but it should prioritize innovation [9]

Competitive Landscape & Business Risks - Anthropic, positioned as a benevolent AI company, faces scrutiny regarding its business practices [1] - Anthropic provided Windsurf with less than 5 days' notice before significantly reducing their access to Claude 3 x models [1] - AI model companies are perceived as potentially exploiting user data and entering their markets [4] - Windsurf's model development, potentially based on data extracted from Claude models, poses a risk to Anthropic [3] Data & Acquisition Concerns - OpenAI's potential acquisition of Windsurf raises concerns about access to data derived from Claude models [3] - Platform risk is highlighted as crucial due to the behavior of model companies [3]