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In this episode, Rod Rivera speaks with Gus Neate, CEO and co-founder of Wilson AI, about the transformative impact of AI on the legal industry.
They discuss Gus' unique background in engineering and law, the capabilities of Wilson AI in automating legal processes, and how it enhances efficiency in contract review and legal inquiries.
The conversation also addresses concerns about job displacement in the legal field, the importance of security and confidentiality, and the potential for Wilson AI to support small organizations without in-house legal teams.
The episode concludes with insights into the future of legal work and the integration of AI into existing workflows. In this conversation, Gus Neate discusses the integration of Wilson, a legal tech tool, with existing tech stacks, emphasizing the importance of security and customer needs.
He addresses concerns about AI hallucinations in legal contexts and explores Wilson's legal research and contract drafting capabilities. The conversation also covers Wilson's unique selling proposition, trends in legal operations, and advice for early career lawyers in adapting to an AI-driven legal landscape.
Gus highlights the evolution of AI in legal tools and provides insights on how to get started with Wilson.
Chapters
00:00 Introduction to Wilson AI and Its Founder
06:01 Streamlining Contract Review Processes
09:07 Customizing Wilson AI for Corporate Needs
12:09 Addressing Concerns of Legal Professionals
15:07 The Role of Wilson AI in Small Organizations
18:05 Security and Confidentiality in Legal Tech
20:51 The Future of Legal Work with AI
23:54 Integrating Wilson AI into Existing Workflows
25:45 Understanding Customer Needs and Security Concerns
27:37 Addressing AI Hallucinations in Legal Contexts
29:50 Exploring Legal Research Capabilities
30:39 Current Product Roadmap and Future Focus
31:58 Enhancing Contract Drafting with Wilson
33:03 Wilson’s Unique Selling Proposition
34:52 The Role of Templates in Legal Processes
35:35 Trends in Legal Operations and AI
36:45 Advice for Early Career Lawyers
44:04 Future-Proofing Legal Careers in an AI World
45:19 The Evolution of AI in Legal Tools
47:11 Getting Started with Wilson
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Thorsten Kranz, head of AI solutions at DHL Group, joins Chris Rod and Max in this episode. They explore the challenges of AI adoption, the importance of data quality, and the impact of AI on various business functions.
The conversation also delves into investment trends in AI, the decision-making process between building or buying AI solutions, and the potential disruption of jobs across multiple industries due to AI advancements.
In this conversation, Thorsten Kranz discusses the evolving landscape of AI, its applications across various industries, and the implications for the job market. He emphasizes the importance of adaptability and continuous learning in the workforce, as well as the need for managers to lead by example in adopting AI technologies.
The discussion also touches on the challenges posed by AI in terms of skill gaps and the potential for societal divides based on AI literacy.
Chapters
00:00 Introduction to AI in Enterprises
02:51 AI Adoption and Organizational Readiness
06:34 Data Quality Challenges
10:10 Interactive Data Analysis and User Engagement
17:17 AI’s Impact on Business Functions
21:09 Investment Trends in AI
25:38 Building vs. Buying AI Solutions
30:39 The Future of Jobs in the Age of AI
31:58 Exploring AI Use Cases Across Industries
35:27 The Future of AI and Job Market Dynamics
41:13 Hiring for the AI Era: Skills and Mindset
47:30 Practical Applications of AI in Management
55:45 Final Thoughts on AI’s Rapid Evolution
Follow Thorsten: https://www.linkedin.com/in/thorsten-kranz-84616437/
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#chrisrodmax #ai #technews
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Saknas det avsnitt?
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Ali Raza, CEO and co-founder of Bevel, discusses the challenges of working with legacy code and how Bevel aims to provide solutions through AI-powered tools. The conversation covers the definition of legacy code, the importance of understanding business logic, and the vision behind Bevel as a company.
Ali shares insights from potential users, the approach Bevel takes to code understanding, and the competitive landscape in the software development industry. The episode also includes a demo of Bevel’s tool, showcasing its capabilities in navigating and modernizing legacy code.
In this conversation, Ali from Bevel discusses the challenges of legacy code in software development, the urgency for companies to modernize their systems, and the role of AI in facilitating this transition.
He emphasizes the importance of understanding legacy systems, the need for a fulfilling workplace culture, and the strategies for engaging with the developer community. The discussion also covers the implementation of Bevel’s solutions, data privacy concerns, and the evolving pricing strategies for their product.
Chapters
00:00 Introduction to Bevel and Legacy Code
05:59 Insights from Potential Users
08:58 Bevel’s Approach to Code Understanding
11:54 Company and Product Vision
14:52 The Future of Software Development
18:06 Demo of Bevel’s Tool
20:56 Navigating Legacy Code with Bevel
24:05 Competition and Market Positioning
26:50 Real-World Applications and Challenges
30:43 The Tipping Point for Legacy Systems
32:41 AI’s Role in Modernizing Legacy Code
34:36 Agentic Software Development
36:24 Implementing Bevel in Legacy Environments
37:30 Data Privacy and User Experience
40:11 Language-Specific Solutions for Legacy Code
42:42 Building a Fulfilling Workplace Culture
45:07 Navigating Early-Stage Startup Challenges
46:14 Community Engagement and Product Adoption
47:58 Pricing Strategies for Developer Tools
49:37 Final Thoughts and Call to Action
Follow Ali: https://www.linkedin.com/in/aliraza12/
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Chris Wang: https://linkedin.com/in/christinewang0/
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Chris Rod Max discuss the latest trends in AI, focusing on Mistral’s business model, its competition with OpenAI, and the implications of European AI initiatives.They explore the challenges of AI regulation, the importance of the application layer, and the rise of text-to-web app builders, while also considering the potential impact on developer skills and innovation.In this conversation, the hosts explore the emerging concept of ‘Vibe Coding’, the implications of Elon Musk’s bid for OpenAI, the challenges posed by deepfakes, and the importance of critical thinking in an era of misinformation.They discuss how technology is changing the way we learn and interact, the potential consequences of deepfake technology on trust and security, and the need for individuals to verify information in a rapidly evolving digital landscape.Chapters00:00 Introduction to AI Trends and Mistral01:27 Mistral’s Business Model and Market Positioning06:41 Comparative Analysis of AI Models09:16 European AI Landscape and Nationalistic Push14:20 Regulatory Challenges and Political Dynamics17:05 The Application Layer and AI Development19:47 Text-to-Web App Builders and Their Challenges26:19 The Rise of Vibe Coding29:59 Elon Musk’s Bid for OpenAI39:47 The Deepfake Dilemma49:14 Navigating Misinformation in the AI EraFollow Chris Rod Max:Chris Wang: https://linkedin.com/in/christinewang0/Rod Rivera: https://linkedin.com/in/rodriveracom/Max Tee: https://linkedin.com/in/maxsontjy/Follow on X:https://x.com/chrisrodmaxFollow on Instagram:https://instagram.com/chrisrodmaxFollow on LinkedIn:https://linkedin.com/company/chrisrodmaxSubscribe to the newsletter:https://chrisrodmax.com#chrisrodmax #ai #technews
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Former Bank of England economist turned AI entrepreneur Sam Miller from Artanis shares insights on building trustworthy AI systems and navigating the current AI boom. Drawing parallels between today’s AI landscape and the .com era, Sam discusses why most AI doesn’t actually work, the importance of proper data labeling, and how his unique background in economics and powerlifting led to innovative approaches in AI development.
Chapters
21:07 The Importance of Data Labeling in AI
23:52 Core Principles of Building Effective AI
25:57 The Evolution of AI Labeling Tasks
29:26 Defining Policy in AI Labeling
31:15 Artanis: Building Trustworthy AI Products
33:27 Current State of AI Market
36:34 Policy Implementation in Medical AI
40:14 Understanding Investor Dynamics
43:42 The Importance of Truth in Business
44:57 Future Prospects of AI in Everyday Life
Key Topics:
- The transition from economics to AI entrepreneurship
- Why most current AI systems don’t actually work
- The importance of policy in AI development
- Parallels between AI and the .com bubble
- Insights on pitching to VCs
Follow Chris Rod Max:
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In this episode, Rod and Chris discuss the evolving landscape of AI, focusing on recent model releases, the geopolitical implications of AI development between the US and China, and the push for AI-first strategies in organizations.They explore the confusion surrounding AI model names, the role of companies like Palantir in government AI adoption, and the differing approaches to AI in regions like Singapore and India. The conversation highlights the competitive nature of AI innovation and the underlying mistrust that shapes the current digital landscape.
Chapters
00:00 Introduction to AI Controversies
00:55 Recent AI Model Releases
03:30 The Race for AI Specialization
06:08 Geopolitical Tensions in AI
11:06 Digital Warfare and Mistrust
15:25 The Push for AI-First Organizations
18:01 Singapore’s AI Strategy
19:20 India’s Emerging AI Landscape
Follow Chris Rod Max:
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Vitalii Duuk, CEO and founder of Dynamiq, discusses the future of GenAI development tools in this episode of the Chris Rod Max show. From his experience building ML platforms at Uber-acquired Careem to founding Dynamiq, Vitalii shares insights on enterprise AI adoption, data privacy considerations, and why persistence is crucial for founders in the AI space. Learn how Dynamiq is simplifying GenAI deployment for scale-ups through their unified platform approach.Chapters00:00 Introduction to Dynamiq and AI Development04:07 Vitalii’s Background and Experience in AI09:29 Challenges in Deploying Generative AI Solutions13:54 Success Stories: Real-World Applications of Dynamiq16:51 Pitching Dynamiq’s: Differentiation in a Crowded Market22:23 Understanding Customer Needs and Education26:17 Addressing AI Security and Compliance Concerns30:16 Dynamiq’s Unique Features and Capabilities36:15 Platform Walkthrough: Demonstrating Dynamiq’s Functionality45:02 Key Learnings and Advice for FoundersKey Topics: - Enterprise GenAI adoption challenges - Low-code vs. traditional development - Data privacy and security Follow Chris Rod Max:Chris Wang: https://linkedin.com/in/christinewang0/Rod Rivera: https://linkedin.com/in/rodriveracom/Max Tee: https://linkedin.com/in/maxsontjy/Follow on X:https://x.com/chrisrodmaxFollow on Instagram:https://instagram.com/chrisrodmaxFollow on LinkedIn:https://linkedin.com/company/chrisrodmaxSubscribe to the newsletter:https://chrisrodmax.com#chrisrodmax #ai #technews
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00:00 Introduction and Overview of DeepSeek02:01 DeepSeek’s Technical Innovations and Implications05:48 Geopolitical Context and Market Reactions09:51 Adoption and Trust in AI Models13:55 The Future of AI Development and Innovation18:06 Entrepreneurial Insights and Market DynamicsThe CRM Show delivers a critical analysis of DeepSeek’s groundbreaking AI model and its implications for the global tech landscape. Host Maxson Tee and co-hosts Chris and Rod dive deep into how this Chinese innovation is challenging Western AI dominance, causing market turbulence, and potentially revolutionizing AI accessibility. From NVIDIA’s $600B market cap drop to the democratization of AI development, this episode explores the technical, economic, and geopolitical implications of this pivotal moment in AI evolution.Key Topics: - DeepSeek’s revolutionary training approach - Impact on NVIDIA and GPU market - China’s emerging AI capabilities Follow Chris Rod Max:https://linkedin.com/in/christinewang0/https://linkedin.com/in/rodriveracom/https://linkedin.com/in/maxsontjy/Follow on X:https://x.com/chrisrodmaxFollow on Instagram:https://instagram.com/chrisrodmaxFollow on LinkedIn:https://linkedin.com/company/chrisrodmaxSubscribe to the newsletter:https://chrisrodmax.com#chrisrodmax #ai #technews
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In this episode of The Chris Rod Max Show, we analyze Trump’s ambitious $500 billion AI fund announcement and its implications for global tech dominance. Our panel discusses:* The role of OpenAI, SoftBank, and Oracle in the initiative* China’s counter-strategy with open-source AI models • Global GPU access restrictions and their impact* Silicon Valley’s approach to AI profitability* Geopolitical implications for AI developmentFeaturing insights from innovation maverick Chris Wang, venture investor Max Tee and tech expert Rod Rivera, this episode provides a critical analysis of the evolving US-China tech rivalry and its implications for global AI development.Subscribe to chrisrodmax.com for weekly insights on AI developments, business leadership, and technological innovation. And follow us under @chrisrodmaxChapters00:00 Introduction to AI Developments01:47 The $500 Billion AI Fund06:09 OpenAI’s Closed Model and Global Competition10:27 China’s Open Source Strategy16:09 The Political Landscape and Market Reactions
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Inboundr.ai Co-Founder and CTO Hatem Diabi shares insights on building an AI agent for authentic content creation, discussing the evolution from a failed food delivery startup to a successful AI venture.
Key topics include the balance between automation and authenticity, innovative pricing strategies in AI SaaS, and practical advice for founders in the AI space.
Chapters
00:00 Introduction to AI Agents and InBounder
01:45 The Journey from Food Delivery to AI Content Creation
03:02 Understanding InBounder’s Functionality and User Experience
09:31 Authenticity in Content Creation
10:06 Data Sources and Learning Mechanisms
13:23 Building the First Version of InBounder
16:29 Integration with Slack and Future Developments
19:12 The Future of Video Content in Marketing
22:09 Team Building and Attracting Talent
26:22 Pricing Strategy and Market Reception
27:20 The Evolution of AI Agents
28:08 Client Insights and Value Proposition
30:01 Pricing Strategies for AI Solutions
31:51 Demonstrating Inbounder: A Practical Walkthrough
39:00 Engagement Beyond Posting: Future Features
40:55 Maintaining Authenticity in AI-Driven Interactions
46:56 Key Takeaways for Founders in AI
48:57 Final Thoughts and Call to Action
Follow us on social media:
Twitter: @ChrisRodMax
LinkedIn: /chrisrodmax
Website: chrisrodmax.com
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In this episode of The Chris Rod Max Show, we dive deep into the transformative developments shaping the AI landscape. From Microsoft’s unprecedented $80 billion investment in AI infrastructure to Sam Altman’s reflections on OpenAI’s journey, we explore how these strategic moves are laying the groundwork for AI’s integration into daily life. The discussion covers the emergence of AI agents, the potential impact on workforce dynamics, and the fascinating possibilities of AI-generated content. Special focus on NVIDIA’s strategic decision to open source RunAI and what it means for the developer community. Join us for an insightful analysis of where AI is headed in 2025 and beyond.Chapters00:00 Welcome Back and Reflections01:13 Microsoft’s Massive AI Investment05:03 The US-China AI Landscape08:39 Training for an AI-Driven Future12:41 The Role of AI in Daily Life15:16 Evaluating AI Investments17:23 Sam Altman’s Reflections on OpenAI21:45 The Future of AI Agents25:51 Adapting to AI in the Workforce28:32 The Rise of AI Investment30:11 Funding Trends and Market Dynamics32:56 The Evolution of AI Companies36:36 The Future of Personal AI Assistants39:18 Advancements in AI Reasoning Models41:43 The Impact of AI on Content Creation44:19 AI-Generated Content: The Future of Media51:53 NVIDIA’s Strategic Moves in AI🔔 Subscribe now to chrisrodmax.com for exclusive content, expert opinions, and the latest updates shaping the future of AI. Whether you’re an AI enthusiast, tech professional, or curious learner, this is the channel to grow your understanding of how AI is reshaping the world. Don’t miss out—hit that subscribe button and join the conversation! 💡
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2025 is shaping up to be a transformative year for AI. Join Rod and Chris as they delve into predictions for NVIDIA’s market future, the role of AI agents in SaaS, and the challenges of energy consumption in AI. Discover insights into enterprise AI, synthetic data challenges, and the rise of AI-generated video. Don’t miss this in-depth discussion!
Chapters
00:00 Welcome to the AI Revolution
02:38 NVIDIA’s Market Position and Future Predictions
07:17 The Role of Big Tech in AI Development
10:08 Energy Consumption and Environmental Impact of AI
17:44 Data Constraints and the Future of AI Models
26:07 Market Consolidation in the AI Space
28:43 The Future of Startups in AI
29:07 AI Solutions in Corporate Markets
30:16 Trends in Startup AI Development
32:54 The Rise of AI Agents
34:37 Understanding AI Agents
38:58 Consumer Perspectives on AI
43:20 Predictions for AI in 2025
48:58 Predictions for AI in 2024
Takeaways
NVIDIA's Dominance Faces Challenges: While NVIDIA maintains a strong monopoly in the GPU market, competition from specialized chip providers (e.g., Groq, SambaNova, and Cerebras) and big tech companies like Apple developing in-house hardware could disrupt their dominance. Companies are increasingly seeking cost-efficient and tailored solutions, which might lead to diversified hardware adoption in the AI space.
Energy Consumption and Sustainability Are Growing Concerns: As AI models consume more energy, sustainability is becoming a critical factor for businesses. This could lead to a shift toward on-device solutions and push companies to prioritize greener AI technologies to align with ESG metrics and consumer sentiment.
The Rise of AI Agents: AI agents are poised to become ubiquitous in 2025, especially in B2B applications where they can streamline operations like invoice processing. However, consumer adoption may lag due to trust and usability challenges. The integration of agentic functionality across SaaS products has the potential to revolutionize processes and deliver significant value across industries.
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In our interview, Anna Spitznagel, co-founder of TrailML, breaks down the EU AI Act and its implications for businesses worldwide. From risk categories to compliance deadlines, discover how companies must adapt to the first comprehensive AI regulation.
Key topics include:
Four risk categories and their implications February 2025 compliance deadline AI literacy requirements Penalties and enforcement Solutions for businesses Impact on innovationSubscribe to https://chrisrodmax.com for more insights on technology regulation and innovation.
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In this episode of The Chris Rod Max Show, Rod delivers a comprehensive analysis of the groundbreaking developments in artificial intelligence throughout 2024. From Geoffrey Hinton's Nobel Prize in Physics to the rise of open-weight AI models challenging industry giants, discover how the AI landscape has transformed. Special focus on enterprise adoption surging to 72% and Klarna's revolutionary implementation replacing 700 support agents.Key Topics:- Nobel Prizes in Physics and Chemistry for AI research- The rise of AI agents and multimodal capabilities- Regulatory frameworks and industry adoption- Open-source AI models challenging commercial providers- Consumer AI integration and creative industry disruptionSubscribe for weekly insights on AI developments: https://chrisrodmax.com
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In this episode, AI expert Andrea Isoni breaks down the current state of AI adoption and regulation. Key topics include the EU AI Act's impact on business, cybersecurity's emergence as the primary beneficiary of AI investment, and the future of GPU technology. Special focus on enterprise challenges and the reality behind 'AI-first' companies. Topics covered:- EU AI Act implementation- Cybersecurity ROI in AI- GPU efficiency improvements- Enterprise adoption challenges- AI outsourcing trends- The future of specialized AI agentsSubscribe to our newsletter: https://www.chrisrodmax.com
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As AI reshapes content creation and corporate strategy, tech leaders discuss the surprising prevalence of AI-generated content, strategic investments by tech giants, and the race for vertical integration in AI development. From LinkedIn's transformation to the strategic plays of major tech companies, this episode explores the complex dynamics shaping AI's future.
Key Topics:
- AI content detection and labeling
- Corporate investment strategies in AI
- Hardware development and vertical integration
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In this episode of The Chris Rod Max Show, we dive deep into Coca-Cola's groundbreaking $1.1 billion partnership with Microsoft and explore how AI is reshaping traditional industries. From revolutionizing supply chains to the future of AI agents in our daily lives, our experts break down the implications of these technological advances.Key Topics:- Coca-Cola's AI transformation strategy- The future of AI agents and automation- AI-to-AI interactions in recruiting and dating- Supply chain innovation through artificial intelligenceFeaturing insights from industry experts Chris, Rod, and Max, this episode offers a fascinating look at how AI is reshaping both business and personal interactions.Timestamps:00:00 Introduction01:20 Coca-Cola's Microsoft Partnership02:49 Understanding Coca-Cola's Value Chain17:57 AI in Product Development29:19 Hyper-Local Marketing Strategy36:39 OpenAI's Agent Technology42:29 Future of AI-to-AI Interactions
Links:
https://www.reuters.com/technology/coca-cola-signs-11-bln-deal-use-microsoft-cloud-ai-services-2024-04-23/ https://pyrops.com/how-is-coca-cola-using-microsofts-ai-services-for-its-supply-chain/#:~:text=AI%2Dpowered%20predic[…]ribution%20logistics%2C%20and https://www.supplychaindive.com/news/coca-cola-ai-artificial-intelligence-microsoft/714889/ https://www.fooddive.com/news/soda-artificial-intelligence-AI-coca-cola-launches-beverage-AB-InBev/692912/ https://www.forbes.com/sites/danidiplacido/2024/11/16/coca-colas-ai-generated-ad-controversy-explained/ https://www.theverge.com/2024/11/13/24295879/openai-agent-operator-autonomous-ai https://www.ft.com/content/249d0f97-768e-4807-917c-76c84ebdf97c https://futurism.com/bumble-founder-future-ai-dating-other-ais -
In this episode of The Chris Rod Max Show, B2B product growth expert Toni Dos Santos joins us to analyze Snapchats's ambitious AI strategy and its implications for the future of social media. We explore:* Snap's journey from photo-sharing app to AI platform* The risks of relying on third-party AI providers* Meta's focused approach vs. Snap's diversification* The evolution of social media business models* Emerging trends in AI and video for B2B* The French tech ecosystem's innovative solutionsToni shares invaluable insights from his experience in product growth and AI implementation, while our hosts dissect the challenges facing social media platforms in 2024.Subscribe for weekly analysis of AI developments and their impact on business and technology.
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In this episode of the Chris Rod Max Show, we explore the transformative impact of recent political changes on the AI landscape. From Trump's potential influence on AI regulation to Perplexity's innovative election coverage, we dive deep into how the tech world is evolving. We also examine Wall Street's new approach to financing AI infrastructure, with CoreWeave's remarkable $10B debt raise for GPUs. Plus, get insights on the latest developments in quantum computing and what it means for the future of technology.
Key Topics:
• Trump's AI regulatory approach
• Tech winners and losers
• Disinformation challenges
• AI infrastructure financing
• Quantum computing progress
Subscribe for weekly insights on AI, tech, and global innovation.
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In this episode of the Chris Rod Max show, we explore the contrasting AI strategies of China and the US. Join us as we discuss the implications of China's decentralized data centers and the current investment landscape in AI. We also analyze a recent report on AI trends and what it means for startups and investors.We analyze a recent Excel report highlighting key trends, including:- The differences in AI deployment strategies between China and the US. - Insights into the current AI investment bubble and predictions that 99% of AI startups may fail.- The shift in enterprise software spending towards generative AI solutions.- The impact of operational costs on startups in the AI sector.- Opportunities for indie developers amid the changing landscape.Tune in for valuable insights and predictions about the future of AI!Sources: - https://www.scmp.com/news/china/science/article/3283901/how-china-and-united-states-have-parted-ways-ai-power-race- https://finance.yahoo.com/news/baidu-ceo-warns-ai-just-162313926.html-https://www.scmp.com/news/china/diplomacy/article/3284118/first-us-national-security-memo-ai-sparks-fear-escalating-tech-war-china- Accel Report Oct 2024: https://cdn.prod.website-files.com/6643a08d305ab77f8c7566b6/670f22a19ea69a94f9710c1a_16%20October%20-%20Accel%202024%20Euroscape.pdf
- Visa fler
