👑Will Google Take the AI Crown from OpenAI?And: FTC Scrutinizes Tech Giants' AI Investments + AI is Quickly Revolutionizing the Package Delivery Industry.
Happy Monday, We can smell Google coming back for the AI crown. For years they were cautious about releasing AI models, but not anymore. The FTC is investigating all AI investments as the tech is permeating every corner of our lives extremely quickly.
📰 AI News and Trends
🌐 Other Tech news
Will Google Take the AI Crown from OpenAI
In the dynamic landscape of AI technology, Google's Bard, also known as Gemini Pro, has outperformed OpenAI's GPT-4, securing the second position in the HuggingFace Chat Bot Arena Leaderboard. Despite this, Gemini Pro is not Google's top-tier model, hinting at the potential of the unreleased Gemini Ultra. Meanwhile, OpenAI, following the success of GPT-4, has launched the GPT-4 Turbo preview model, designed to enhance code generation and task completion. This model aims to reduce instances of incomplete responses. OpenAI may soon unveil GPT-5 (perhaps Q2 2024), keeping up with the rapid advancements in the field. In parallel, Meta's upcoming Llama 3 is speculated to challenge GPT-4's capabilities. Google, a pioneer in large language models with its BERT in 2018, has traditionally been cautious in releasing its models, focusing on research and concern over misuse. In contrast, OpenAI's open approach with GPT-3's API release fostered widespread AI adoption and innovation. Google, leveraging its vast data and computational resources, is now entering the conversational AI arena more assertively with Bard, signaling a shift in its strategy and a direct competition with OpenAI. This development, coupled with Google's integration of generative AI features like "Help me Write" in Chrome, positions Google as both an early leader and a formidable contender in the evolving AI landscape. 📁 Learn OSS repos using AIExplore 300+ open-source repos by talking to them using AI (Here)
OSS libraries are software libraries where all the source code is available in the public domain. FTC Scrutinizes Tech Giants' AI Investments
The Federal Trade Commission (FTC) has launched an investigation into the investments of major technology companies like Microsoft, Amazon, and Alphabet in AI startups such as OpenAI and Anthropic. This inquiry aims to assess the impact of these investments on market competition in the generative AI industry. Key players include Microsoft with a significant investment in OpenAI, including a rumored $10 billion infusion and a board position, and Amazon and Google with substantial investments in Anthropic. The FTC's probe focuses on how these financial relationships influence product development, market share, and competition dynamics. Additionally, the investigation highlights the U.S. government's growing interest in the intersection of big tech and AI, ensuring that advancements in AI technology foster healthy market competition. Keep learning with the Masters of Scale newsletter:
AI is Quickly Revolutionizing the Package Delivery Industry.
The logistics of consumer deliveries are on the brink of transformation thanks to AI. Innovations include AI-enhanced drones, like those from Wing and Amazon, which promise to streamline the last mile of delivery by avoiding traffic and parking issues. Companies like Vault Robotics are tackling the 'last 50 feet' challenge with robots capable of navigating complex terrains, potentially deployed from moving vans. AI is also being leveraged to predict available parking spaces in real-time, significantly reducing the time delivery drivers spend searching for parking. Furthermore, AI technologies are enhancing driver safety, with systems like Motive's dashcams and AI omnicams alerting drivers to unsafe behaviors and eliminating blind spots. Additionally, route optimization is being refined with AI, considering factors like parking convenience and safety, to determine the most efficient paths. These advancements are set to make package delivery faster, cheaper, and safer, reshaping the entire delivery landscape. 💰 Follow The Money
🤔 What Does that even Mean? Term of the DayUnderfitting: The opposite of overfitting, where a model is too simple, making it unable to capture the underlying trend of the data. Example: A stock price prediction model that only uses the day of the week for forecasting, neglecting factors like market trends and economic indicators, is overly simplistic and fails to capture the complexities of stock market movements, resulting in inaccurate predictions. 📰 Publications I am currently reading and recommending:
🧰 AI Tools of the DayPersonal Assistant
🚀 Showcase Your Innovation in the Premier Tech and AI Newsletter (link) As a vanguard in the realm of technology and artificial intelligence, we pride ourselves in delivering cutting-edge insights, AI tools, and in-depth coverage of emerging technologies to over 55,000+ tech CEOs, managers, programmers, entrepreneurs, and enthusiasts. Our readers represent the brightest minds from industry giants such as Tesla, OpenAI, Samsung, IBM, NVIDIA, and countless others. Explore sponsorship possibilities and elevate your brand's presence in the world of tech and AI. Learn more about partnering with us. You’re a free subscriber to Yaro’s Newsletter. For the full experience, become a paying subscriber. Disclaimer: We do not give financial advice. Everything we share is the result of our research and our opinions. Please do your own research and make conscious decisions.
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Monday, January 29, 2024
👑Will Google Take the AI Crown from OpenAI?
Friday, January 26, 2024
💼 Replacing Human Workers with AI is more Expensive.
💼 Replacing Human Workers with AI is more Expensive.Plus: Are Chokepoints the only way to control AI? - ChatGPT has been Updated and is allegedly “less Lazy.”
📰 AI News and Trends
🌐 Other Tech news
ChatGPT has been Updated and is allegedly “less Lazy.”
OpenAI's GPT-4 Turbo addresses 'laziness' in task completion with an update trained on data up to April 2023. Over 70% of GPT-4 API users have migrated to this version for its improved capabilities. Upcoming features include vision capabilities for multimodal interactions. Additionally, OpenAI introduced 'embeddings' models—'text-embedding-3-small' and 'text-embedding-3-large'—to enhance AI's understanding of content relationships, marking significant progress in AI technology.
The US Data Privacy Checklist
Scale your consumer data privacy program with ease. Vanta’s exclusive US Data Privacy (USDP) framework is all you need to comply with state-level consumer privacy laws. By covering all state privacy laws with one comprehensive set of controls, this unlocks a fast, scalable way to keep you ahead of ever changing privacy laws across the US. Do the work once and ensure your business simultaneously adheres to CCPA/CPRA, CPA, CTDPA, UCPA, and VCDPA. The framework is constantly being updated to keep up with new and evolving regulations. Download the US Data Privacy checklist to learn more. Replacing Human Workers with AI is more Expensive
MIT researchers found that replacing human workers with AI in visual inspection tasks is often more expensive than keeping human labor. Their study across 800 occupations showed only 23% of tasks are cost-effective to automate due to high AI system costs. This finding suggests that AI-driven job displacement will be significant but gradual, allowing time for policy development and workforce retraining. Despite the rapid growth of AI technologies like ChatGPT and Bard, and recent tech sector layoffs, experts believe this shift could lead to new types of jobs. The study, supported by IBM's Watson AI Lab, highlights that while automation may become more economically feasible over time, it currently remains limited and requires thoughtful regulatory preparation. Are Chokepoints the only way to control AI?In the realm of AI development, researchers are exploring the concept of embedding restrictions within crucial components like GPUs to regulate AI's power and prevent dangerous applications. This approach, which ties AI's capabilities to its hardware, aims to offer a more enforceable solution than conventional laws or treaties. Modern devices already employ similar security measures, like iPhones' secure enclaves for biometric data. The proposal, while theoretically sound, faces significant challenges in technical implementation and political acceptance. It draws parallels to nuclear nonproliferation methods, suggesting a new frontier in AI governance. However, the tech industry has shown resistance to such hardware-based controls, citing ethical and complexity issues. The U.S. government has expressed interest, indicating a potential shift in how AI capabilities might be regulated in the future. 💰 Follow The Money
🤔 What Does that even Mean? Term of the DayOverfitting: A modeling error in machine learning that occurs when a function is too closely fit to a limited set of data points. Example: A weather prediction model is trained with a very specific set of data from a short period. It performs exceptionally well on this training data but fails to accurately predict weather when given data from a different time frame or location. This is because it has learned the peculiarities of the training data too well, at the expense of its ability to generalize to new data. 📰 Publications I am currently reading and recommending:
🧰 AI Tools of the DayRecruiting and Hiring
🚀 Showcase Your Innovation in the Premier Tech and AI Newsletter (link) As a vanguard in the realm of technology and artificial intelligence, we pride ourselves in delivering cutting-edge insights, AI tools, and in-depth coverage of emerging technologies to over 55,000+ tech CEOs, managers, programmers, entrepreneurs, and enthusiasts. Our readers represent the brightest minds from industry giants such as Tesla, OpenAI, Samsung, IBM, NVIDIA, and countless others. Explore sponsorship possibilities and elevate your brand's presence in the world of tech and AI. Learn more about partnering with us. You’re a free subscriber to Yaro’s Newsletter. For the full experience, become a paying subscriber. Disclaimer: We do not give financial advice. Everything we share is the result of our research and our opinions. Please do your own research and make conscious decisions.
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