GTM AI Academy

[🚨BREAKING] Claude 3 Released! Beats GPT-4 on Every Metric Here's what you need to know: Three models: Haiku (basic), Sonnet (balanced), Opus (super smart) Big memory: Can understand huge chunks of text (up to 1 million tokens) Top test scores: Opus wins important AI challenges (MMLU, GPQA, GSM8K) Sonnet is speedy: Twice as fast as older versions Opus is accurate: Makes way fewer mistakes Can understand images: Similar to other leading AI models it's still only February 2024, and the AI race is already heating up!

Otter introduces Meeting GenAI - AI tools for enhancing meeting experiences | TechCrunch • AI Conversation Summary - Provides a concise overview of the meeting - Eliminates the need to read the full transcript • AI Chatbot - Can be queried for details about past meetings recorded with Otter - Example queries: "What did the CMO say?" or "Did they change the launch date?" • AI Chat Within Team Channels - Chatbot functions as a participant within group chats - Users can directly invoke Otter for answers during conversations (e.g., "Hey Otter, what's our revenue?") Otter's Approach and Differentiators • Goals: - Complement or replace AI features from similar services (Microsoft Copilot, Zoom AI Companion, etc.) - Designed for busy professionals in corporate environments • Advantages: - AI analyzes your entire meeting history, not just single meetings - Proactive participation – Otter may chime in with insights based on discussions • Data Security: - Data is cloud-based and secured like other enterprise cloud services - Otter does not use customer data for its AI training (unless users opt-in) • Pricing: - The Meeting GenAI features will be included in both free and paid plans

Microsoft's Shift to Copilot: A New Era in AI - **From Bing to Copilot:** A year after launching an AI-powered Bing, Microsoft is now focusing on Copilot as its main AI brand, moving away from Bing and aiming for broader applications beyond search. - **Super Bowl Spotlight:** Microsoft is launching a Super Bowl ad for Copilot, signaling a major promotional push for the AI companion across mobile platforms. - **AI Integration Across Microsoft:** Over the past year, Microsoft has embedded AI features in Office apps, Windows tools like Paint, and introduced a dedicated AI key for laptops, indicating a pervasive AI strategy. - **Copilot's Evolution:** Initially integrated into various products somewhat disjointedly, Microsoft is now streamlining its approach to offer a unified Copilot experience across its ecosystem. - **New Features and Focus on Creation:** Microsoft is enhancing Copilot with improved user experience, faster performance, and advanced image creation capabilities, responding to user engagement trends. - **Addressing Misuse:** In response to concerns about AI-generated explicit images, Microsoft is tightening safety systems to prevent misuse of its AI image generation tools. - **Broad Usage Applications:** Beyond image creation, Copilot is being used for programming, research, analysis, and predominantly as an advanced search tool. - **Future Vision for Copilot:** Microsoft envisions Copilot evolving into a personal AI assistant that can integrate additional capabilities through subscriptions, aiming for a more personalized AI experience. - **Windows AI Integration:** Microsoft hints at an upcoming Windows refresh focused on AI, including context-aware assistance and local AI model processing, with the goal of making every user a power user. - **Impact and Outlook:** While Bing's AI transformation didn't drastically alter the search market landscape, it laid the groundwork for Microsoft's expansive AI initiatives, with Copilot at the forefront of this new direction. This strategic pivot underscores Microsoft's commitment to embedding AI into its product lineup, enhancing user experience, and fostering creativity and productivity through advanced technology.

15 BIG IDEAS 2024 1. Technological Convergence • AI, blockchain, bio-sequencing, energy tech, & robotics are merging. • Impact: Disruptive innovation could claim 60% of global equity markets by 2030. 2. Artificial Intelligence • AI training becomes massively cheaper – costs dropping 75% annually. • Impact: Redefines work and how we solve global problems. 3. Bitcoin Allocation • Bitcoin gains ground in investment portfolios • Stats: 44% average annual return over the past seven years. 4. Bitcoin in 2023 • Bitcoin shows strength after 2022 setbacks. • Stat: Market cap hit $827 billion in 2023. 5. Smart Contracts • Fueling a new internet-based financial system. • Impact: Potential for $450 billion in fees by 2030. 6. Digital Consumers • Shift towards online entertainment and leisure. • Impact: $23 trillion digital leisure spending potential by 2030. 7. Digital Wallets • Wallets drive two-sided business networks. • Impact: Could boost niche software revenues to $27-$50 billion by 2030. 8. Precision Therapies • More efficient, cost-effective disease treatment. • Impact: $4.5 trillion company value potential by 2030. 9. Multiomic Tools & Technology • Turning biological data into economic opportunity. • Impact: Could cut R&D spending by over 25%. 10. Electric Vehicles • Declining battery costs drive EV boom. • Stat: 74 million EV sales projected by 2030. 11. Robotics • AI hardware + software = highly adaptable robots. • Impact: $24+ trillion global revenue opportunity. 12. Robotaxis • Safe, cheap urban transportation transformation. • Impact: $28 trillion in enterprise value possible by 2030. 13. Autonomous Logistics • Supply chains get smarter, costs go down. • Impact: $900 billion global autonomous delivery revenue by 2030. 14. Reusable Rockets • Space opens for business. • Impact: Satellite connectivity revenue could exceed $130 billion yearly by 2030. 15. 3D Printing • Revolutionizing manufacturing. • Impact: Industry could hit $180 billion by 2030, growing 40% annually. (Source By ark-invest)

𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗘𝘅𝗽𝗹𝗮𝗶𝗻𝗲𝗱 A lot of people get confused on the different levels of AI, to break it down to sections and concepts under each one, here you go. A Comprehensive Overview: 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲: • Automated Programming • Knowledge Representation • Expert Systems • Planning and Scheduling • Speech Recognition • Intelligent Robotics • Visual Perception • Natural Language Processing (NLP) • Problem Solving & Search Strategies 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: • K-Means Clustering • Principal Component Analysis (PCA) • Automatic Reasoning • Random Forest • Decision Trees • Ensemble Methods • Naive Bayes • Classification • Anomaly Detection • Reinforcement Learning 𝗡𝗲𝘂𝗿𝗮𝗹 𝗡𝗲𝘁𝘄𝗼𝗿𝗸𝘀: • Radial Basis Function Networks • Recurrent Neural Networks (RNN) • Autoencoders • Hopfield Networks • Modular Neural Networks • Adaptive Resonance Theory (ART) 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: • Convolutional Neural Networks (CNN) • Long Short-Term Memory Networks (LSTM) • Deep Reinforcement Learning • Generative Adversarial Networks (GAN) • Deep Belief Networks (DBN) #promptengineering #artificialintelligenceml #ArtificialIntelligence #artificial_intelligence_ml #LLM #MachineLearning #DeepLearning #BigData #DataScience #Technology #Programming #DataMining #DataScientist #ChatGPT #aigenerated

Amazing where we are going!

The Big Picture in AI: It’s a Battle for the Cloud 1. The Cloud War: • Companies like Anthropic are choosing major cloud providers such as AWS (Amazon Web Services) for their computing needs. • As Anthropic grows using AWS, Amazon could earn billions because all of that AI computing power is rented from AWS's cloud. • This is a big deal: As more businesses use AI like Claude, they'll need more cloud services, which means more money for cloud providers like Amazon, Microsoft (Azure), and Google (Google Cloud). Key Takeaway: Huge investments in AI are driving a competition for cloud services that's worth billions—and it’s only heating up. 2. The Chip War: • Chips are the powerhouse for all AI operations. • Nvidia has been the big player, but everyone is stepping up their game: - Nvidia revealed the H200 GPU, a new AI-focused chip. - Microsoft announced the Maia 100 chip for AI tasks. - Amazon (AWS) introduced Graviton4 and Trainium2, also targeting AI and ML jobs. - Google is in the race too, making moves to innovate in the chip department. What This Means: These tech giants are making strategic moves with their chips to become the go-to option, kind of like a "land grab" but for tech services. Conclusion: Keep an eye out, as these battles in the cloud and chip markets will shape the tech world this year, making it an especially interesting time for the AI industry. So, whether you're just dipping your toes into AI or you're deep in the tech trenches, understanding these ongoing cloud and chip wars is essential, because they’re defining the future of AI technology. Credit to Connor Grennan

Will be interesting to see how long this trend may or may not last.. personally I think AI leader jobs will be around a while. https://lnkd.in/e5s5ksPy

The Big Picture in AI: It’s a Battle for the Cloud 1. The Cloud War: • Companies like Anthropic are choosing major cloud providers such as AWS (Amazon Web Services) for their computing needs. • As Anthropic grows using AWS, Amazon could earn billions because all of that AI computing power is rented from AWS's cloud. • This is a big deal: As more businesses use AI like Claude, they'll need more cloud services, which means more money for cloud providers like Amazon, Microsoft (Azure), and Google (Google Cloud). Key Takeaway: Huge investments in AI are driving a competition for cloud services that's worth billions—and it’s only heating up. 2. The Chip War: • Chips are the powerhouse for all AI operations. • Nvidia has been the big player, but everyone is stepping up their game: - Nvidia revealed the H200 GPU, a new AI-focused chip. - Microsoft announced the Maia 100 chip for AI tasks. - Amazon (AWS) introduced Graviton4 and Trainium2, also targeting AI and ML jobs. - Google is in the race too, making moves to innovate in the chip department. What This Means: These tech giants are making strategic moves with their chips to become the go-to option, kind of like a "land grab" but for tech services. Conclusion: Keep an eye out, as these battles in the cloud and chip markets will shape the tech world this year, making it an especially interesting time for the AI industry. So, whether you're just dipping your toes into AI or you're deep in the tech trenches, understanding these ongoing cloud and chip wars is essential, because they’re defining the future of AI technology. Credit to Connor Grennan

Just an fyi