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"Last Week in AI" including OpenAI, Stack Overflow, Apple's new Photos app, YouTube Premium, Microsoft MAI-1, Eli Lilly, Audible, Apple's M4 chip, Google's Pixel 8a, machine learning in whale communication, and more.

Last Week in AI: Episode 31

Hey everyone, welcome to this week’s edition of “Last Week in AI.” This week’s stories provide a glimpse into how AI is reshaping industries and our daily lives. Let’s dive in and explore these fascinating developments together.

OpenAI and Stack Overflow Partnership

Partnership Announcement: OpenAI and Stack Overflow have formed a new API partnership to leverage their collective strengths—Stack Overflow’s technical knowledge platform and OpenAI’s language models.

Impact and Controversy: This partnership aims to empower developers by combining high-quality technical content with advanced AI models. However, some Stack Overflow users have protested, arguing it exploits their contributed labor without consent, leading to bans and post reverts by staff. This raises questions about content creator attribution and future model training, despite the potential for improved AI models. Read more

Apple’s New Photos App Feature

Feature Introduction: Apple is set to introduce a “Clean Up” feature in its Photos app update, leveraging generative AI for advanced image editing. This tool will allow users to remove objects from photos using a brush tool, similar to Adobe’s Content-Aware Fill.

Preview and Positioning: Currently in testing on macOS 15, Apple may preview this feature during the “Let Loose” iPad event on March 18, 2023. This positions the new iPads as AI-equipped devices, showcasing practical AI applications beyond chatbots and entertainment. Read more

YouTube Premium’s AI “Jump Ahead” Feature

Feature Testing: YouTube Premium subscribers can now test an AI-powered “Jump ahead” feature, allowing them to skip commonly skipped video sections. By double-tapping to skip, users can jump to the point where most viewers typically resume watching.

Availability and Aim: This feature is currently available on the YouTube Android app in the US for English videos and requires a Premium subscription. It complements YouTube’s “Ask” feature and aims to enhance the viewing experience by leveraging AI and user data. Read more

Microsoft’s MAI-1 Language Model Development

Model Development: Microsoft is developing a new large-scale AI language model, MAI-1, led by Mustafa Suleyman, the former CEO of Inflection AI. MAI-1 will have approximately 500 billion parameters, significantly larger than Microsoft’s previous models.

Strategic Significance: This development signifies Microsoft’s dual approach to AI, focusing on both small and large models. Despite its investment in OpenAI, Microsoft is independently advancing its AI capabilities, with plans to unveil MAI-1 at their Build conference. Read more

AI in Drug Discovery at Eli Lilly

Innovative Discovery: The pharmaceutical industry is integrating AI into drug discovery, with Eli Lilly scientists noting innovative molecular designs generated by AI. This marks a precedent in AI-driven biology breakthroughs.

Industry Impact: AI is expected to propose new drugs and generate designs beyond human capability. This integration promises faster development times, higher success rates, and exploration of new targets, reshaping drug discovery. Read more

AI-Narrated Audiobooks on Audible

Audiobook Trends: Over 40,000 AI-voiced titles have been added to Audible since Amazon launched a tool for self-published authors to generate AI narrations. This makes audiobook creation more accessible but has sparked controversy.

Industry Reaction: Some listeners dislike the lack of filters to exclude AI narrations, and human narrators fear job losses. Major publishers are embracing AI for cost savings, highlighting tensions between creative integrity and commercial incentives. Read more

Apple’s M4 Chip for iPad Pro

Processor Introduction: Apple’s M4 chip, the latest and most powerful processor for the new iPad Pro, offers groundbreaking performance and efficiency.

Key Innovations: The M4 chip features a 10-core CPU, 10-core GPU, advanced AI capabilities, and power efficiency gains. These innovations enable superior graphics, real-time AI features, and all-day battery life. Read more

Google’s Pixel 8a Smartphone

Affordable Innovation: The Pixel 8a, Google’s latest affordable smartphone, is priced at $499 and packed with AI-powered features and impressive camera capabilities.

Key Highlights: The Pixel 8a features a refined design, dual rear camera, AI tools, and enhanced security. It also offers family-friendly features and 7 years of software support. Read more

OpenAI’s Media Manager Tool

Tool Development: OpenAI is building a Media Manager tool to help creators manage how their works are included in AI training data. This system aims to identify copyrighted material across sources.

AI Training Approach: OpenAI uses diverse public datasets and proprietary data to train its models, collaborating with creators, publishers, and regulators to support healthy ecosystems and respect intellectual property. Read more

Machine Learning in Sperm Whale Communication

Breakthrough Discovery: MIT CSAIL and Project CETI researchers have discovered a combinatorial coding system in sperm whale vocalizations, akin to a phonetic alphabet, using machine learning techniques.

Communication Insights: By analyzing a large dataset of whale codas, researchers identified patterns and structures, suggesting a complex communication system previously thought unique to humans. This finding opens new avenues for studying cetacean communication. Read more

Sam Altman’s Concerns About AI’s Economic Impact

CEO’s Warning: Sam Altman, CEO of OpenAI, has expressed significant concerns about AI’s potential impact on the labor market and economy, particularly job disruptions and economic changes.

Economic Threat: Studies suggest AI could automate up to 60% of jobs in advanced economies, leading to job losses and lower wages. Altman emphasizes the need to address these concerns proactively. Read more

AI Lecturers at Hong Kong University

Educational Innovation: HKUST is testing AI-generated virtual lecturers, including an AI version of Albert Einstein, to transform teaching methods and engage students.

Teaching Enhancement: AI lecturers aim to address teacher shortages and enhance learning experiences. While students find them approachable, some prefer human teachers for unique experiences. Read more

OpenAI’s NSFW Content Proposal

Content Policy Debate: OpenAI is considering allowing users to generate NSFW content, including erotica and explicit images, using its AI tools like ChatGPT and DALL-E. This proposal has sparked controversy.

Ethical Concerns: Critics argue it contradicts OpenAI’s mission of developing “safe and beneficial” AI. OpenAI acknowledges potential valid use cases but emphasizes responsible generation within appropriate contexts. Read more

Bumble’s Vision for AI in Dating

Future of Dating: Bumble founder Whitney Wolfe Herd envisions AI “dating concierges” streamlining the matching process by essentially going on dates to find compatible matches for users.

AI Assistance: These AI assistants could also provide dating coaching and advice. Despite concerns about AI companions forming unhealthy bonds, Bumble’s focus remains on fostering healthy relationships. Read more

Final Thoughts

This week’s updates showcase AI’s transformative power in areas like education, healthcare, and digital content creation. However, they also raise critical questions about ethics, job displacement, and intellectual property. As we look to the future, it’s essential to balance innovation with responsibility, ensuring AI advancements benefit society as a whole. Thanks for joining us, and stay tuned for more insights and updates in next week’s edition of “Last Week in AI.”

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Last Week in AI

Last Week in AI

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We’re exploring everything from OpenAI’s leadership changes to Microsoft’s cutting-edge AI moves. Get the scoop on Sam Altman’s OpenAI comeback, GPT-5’s progress, and Microsoft’s tech leaps. Join us for a journey into AI’s exciting future.

OpenAI

Sam Altman’s Possible Return to OpenAI

The possibility of Sam Altman, the former CEO, making a comeback is being considered. However, this return is not simple, as Altman is advocating for significant changes in the company’s governance, suggesting a thorough reassessment of its decision-making framework.

  • Leadership Impact: Altman’s previous tenure saw OpenAI’s substantial growth and innovation. His leadership, combining technical expertise and a forward-looking mindset, has been instrumental in OpenAI’s success.
  • Internal Dynamics: Altman’s conditions for return suggest internal tensions within OpenAI, especially in light of recent high-profile departures.
  • Strategic Implications: Altman’s return could mean a significant shift in OpenAI’s direction, focusing more on innovation and governance.

Sam Altman’s potential reappointment is more than a leadership change; it’s about charting OpenAI’s future in a rapidly evolving AI field. The decisions now will have long-lasting impacts in the AI community.

OpenAI’s Leap to GPT-5: Toward Artificial General Intelligence

OpenAI is advancing AI development with its new project, GPT-5. This ambitious effort aims to push closer to Artificial General Intelligence (AGI), a level where AI can perform tasks across a range of disciplines as efficiently as, or better than, human experts.

  • Microsoft’s Role: Their investment and partnership are crucial in fueling OpenAI’s vision, highlighting the significant resources needed for such a monumental project.
  • The GPT-5 Challenge: Building GPT-5 involves massive financial investment, extensive computational resources, and a vast data pool for training, indicating a project of unprecedented scale.
  • Potential Outcomes: GPT-5 aims to surpass current AI capabilities, potentially matching or exceeding human reasoning and complex idea processing, marking a significant shift towards AGI.

GPT-5 is a bold endeavor that might redefine our understanding of intelligence, bringing the concept of AGI closer to reality. While OpenAI leads this charge with Microsoft’s support, the journey is long and filled with challenges.

Microsoft

Microsoft’s AI Chip and Cloud Computing Advances at Ignite Conference

Microsoft revealed significant advancements in AI and cloud computing at its Ignite conference, including the launch of its first AI chip, Maia 100, and its in-house microprocessor, Azure Cobalt 100.

  • Maia 100 Chip: A custom cloud computing chip, optimized for generative AI tasks, notable for its 105 billion transistors and advanced 5-nanometer process technology.
  • Azure Cobalt 100: Microsoft’s first self-built microprocessor for cloud computing, boasting 128 computing cores and a 40% reduction in power consumption compared to similar ARM-based chips.
  • High Performance: These chips support 200 gigabit-per-second networking and can deliver 12.5 gigabytes per second of data throughput.
  • Entering Custom Silicon Arena: Microsoft joins Google and Amazon in offering custom silicon for cloud and AI, marking a significant step in cloud computing technology.
  • Partnerships and Expansions: Collaboration with Nvidia and AMD to incorporate advanced GPU chips into Azure and launching Copilot for Azure as an AI tool for system administrators.
  • Exclusive OpenAI Collaboration: Microsoft’s investment in OpenAI and exclusive rights to programs like ChatGPT and GPT-4 showcase their commitment to leading-edge AI development.
  • Oracle Partnership: Microsoft’s unique offering of Oracle database programs on Oracle hardware in Azure, enhancing its cloud service capabilities.

These innovations position Microsoft as a formidable player in AI and cloud computing, reflecting its commitment to advancing technology and maintaining competitiveness in the rapidly evolving tech landscape.

Microsoft’s Bing Chat Becomes Copilot

Microsoft has rebranded Bing Chat as Copilot, marking a significant step in its strategy to compete in the AI-driven search and assistance market, particularly against ChatGPT.

  • New Branding: Copilot replaces Bing Chat, integrating into Bing, Microsoft Edge, and Windows 11, signaling a shift towards a more unified and accessible AI interface.
  • Consumer and Business Focus: Copilot is available for both consumers (free version) and businesses (paid Copilot for Microsoft 365), catering to a wide range of users.
  • Access and Identity: Business users will use an Entra ID for access, while consumers will use a Microsoft Account, streamlining the login process.
  • Market Challenge: Despite these advancements, Google maintains a dominant market share, presenting a formidable challenge for Microsoft’s AI ambitions.

Microsoft’s move to rebrand Bing Chat as Copilot represents a strategic effort to solidify its presence in the AI space, offering enhanced accessibility and integration across its products. This reflects the company’s ongoing efforts to innovate and compete in the rapidly evolving AI landscape.

NVIDIA

NVIDIA’s latest reveal is the NVIDIA HGX™ H200, a powerhouse based on their Hopper™ architecture. It’s a big deal because it’s designed for heavy-duty tasks like generative AI and high-performance computing. Here’s the rundown:

  1. Advanced Memory Tech: The H200 is the first to use HBM3e memory. This means it can handle huge data sets way faster, perfect for AI and scientific computing.
  2. Versatile and Powerful: You’ll see it in different setups, both in four- and eight-way server boards. It’s also compatible with older HGX H100 systems, which is great for upgrading.
  3. Availability: It’s hitting the market in the second quarter of 2024. Big system manufacturers and cloud providers will have it, so it’s not just a niche product.

In a nutshell, the H200 is a big leap forward, especially for tasks that need a lot of memory and speed. It’s like giving steroids to computers dealing with complex AI and science problems!

Google

DeepMind’s Lyria

Google DeepMind has launched Lyria, a groundbreaking AI music model. Lyria stands out in its ability to create rich music, blending instrumentals and vocals with impressive finesse. It’s designed for tasks like transforming and continuing existing music, while giving users detailed control over style and performance.

  1. Dream Track Experiment: This feature lets select creators blend AI-generated voices and styles of famous artists like Alec Benjamin and Charli XCX, producing unique soundtracks.
  2. Versatile Music Creation Tools: Beyond just generating songs, DeepMind’s AI can now craft new music, switch styles or instruments, and even add instrumental or vocal accompaniments.
  3. Responsible Innovation: With SynthID, DeepMind is addressing the ethical side, ensuring synthetic content is identifiable. They’re collaborating with artists and the music industry to develop these technologies responsibly.

Lyria opens up new possibilities for artists and producers, allowing for more experimentation and creativity in music production. It’s a glimpse into how AI can reshape the music industry, making music creation more accessible and diverse, while also being mindful of ethical implications.

YouTube Premium

YouTube Premium’s latest features are all about enhancing the user experience. Here’s the scoop:

  1. Multi-Device Queueing: Now, you can queue videos on your phone or tablet, making it easier to line up what you want to watch next.
  2. Watch Together with Meet Live Sharing: This cool feature lets you watch YouTube with friends during a Google Meet call.
  3. High-Quality Streaming: There’s an upgraded 1080p streaming for iOS users, offering clearer, sharper videos.

But that’s not all. Premium members get early access to AI experiments and new promotions, ensuring a more personalized experience. Plus, you can seamlessly switch between devices without losing your place in a video. And for those over 18, there are new achievement badges, adding a bit of fun and recognition to your YouTube journey. All these updates are aimed at giving Premium users a smoother, more enjoyable, and interactive viewing experience.

Meta

Emu Vide

The Emu Video method is a game-changer in the world of text-to-video generation. Here’s why it stands out:

  1. Simplified Process: It breaks down video generation into just two steps, using only two diffusion models. This makes it more efficient than older methods that needed a bunch of models.
  2. High-Quality Output: Emu Video creates videos that are 512 pixels, 4 seconds long, at 16 frames per second. That’s pretty detailed and smooth for AI-generated content.
  3. Beats the Competition: When put head-to-head with other top-notch text-to-video models like Make-a-Video and Imagen-Video, Emu Video comes out on top in both quality and performance metrics.

In short, Emu Video’s approach not only simplifies the video creation process but also delivers high-quality results, making it a significant advancement in AI-driven video generation.

AI is rapidly evolving with big moves like Sam Altman’s potential return to OpenAI, Microsoft’s Bing Chat becoming Copilot, and NVIDIA’s new HGX™ H200. Innovations like Google DeepMind’s Lyria and Meta’s Emu Video are transforming AI in music and video. These advancements are shaping AI’s role in our lives and industries, with more exciting updates to come.

If you missed last weeks update, you can check it out here. Cheers!

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Latest Ai News - A happy copilot

Last Week in AI

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A lot happened in the world of AI last week, so let’s jump right in and explore the latest breakthroughs and innovations.

1. Samsung’s Generative AI: Samsung Gauss

  • What: A new generative AI family, featuring models for language processing, code generation, and image editing.
  • Features:
    • Language Model: Similar to ChatGPT, adept at understanding and generating human-like text.
    • Code-Generating Model: Automates and streamlines coding processes.
    • Image Generation and Editing Model: Creates and modifies visual content.
  • Availability: Currently in internal use, set for public release soon.

2. Microsoft’s AI Support for Startups

  • What: Free Azure AI infrastructure for startups.
  • Benefits:
    • No-Cost Access: High-end Nvidia GPU virtual machine clusters available at no cost.
    • Enhanced AI Training: Ideal for training and operating generative models.
    • Scalability: Supports the growth and development of startup projects.

3. YouTube’s AI Features

  • What: New generative AI features for premium subscribers.
  • Features:
    • Conversational Tool: Provides AI-based answers and recommendations.
    • Comment Summarization: Summarizes and highlights key points in video comments.

4. DeepMind’s Robotics Ambitions

  • What: Insights from Vincent Vanhoucke, head of robotics at Google DeepMind.
  • Focus Areas:
    • General-Purpose Robots: Envisioning versatile, multi-functional robotic solutions.
    • Generative AI Integration: Enhancing robot capabilities with advanced AI technology.

5. Kai-Fu Lee’s AI Model: 01.AI

  • What: The unveiling of the Yi-34B model by Kai-Fu Lee’s AI startup.
  • Highlights:
    • Open Source: Accessible and modifiable by the developer community.
    • Innovative Design: Developed within seven months of the startup’s founding.

6. GitHub’s Customizable Copilot Plan

  • What: A new enterprise subscription tier for Copilot.
  • Customization:
    • Codebase-Specific Tailoring: Adapts to the unique coding practices of different companies.
    • Enhanced Programming Support: Assists in code generation and problem-solving.

7. Hugging Face’s Two-Person Model Team: H4

  • What: A small, efficient team developing advanced AI tools.
  • Key Offerings:
    • Data Science Hosting: Provides hosting services for AI and machine learning projects.
    • Development Tools: Offers a suite of tools for AI development and application.

8. Mozilla’s AI Chatbot: Fakespot Chat

  • What: An AI-powered shopping assistant developed by Mozilla.
  • Capabilities:
    • Product Query Assistance: Answers questions about online products.
    • Shopping Suggestions: Offers recommendations based on user queries and preferences.

9. ChatGPT Custom GPTs

  • “ChatGPT custom GPTs is a significant advancement that deserves its own detailed section. For an in-depth look at this exciting development, check it out here.

That wraps up our update. If you didn’t catch the previous ‘Last Week in AI,’ you can find it here. See you next week, and in the meantime, keep engaging, stay curious, and enjoy the journey through the ever-evolving world of AI.

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YouTube’s AI-Powered Features for Enhanced Interaction

YouTube’s Trying Out a Couple of Cool New AI Features

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YouTube’s new tools are all about helping creators engage more with their fans and making sure viewers really get the hang of the videos.

1. Comment Topics Tool: Making Comments Easy to Navigate

First up, we’ve got the comment topics tool. This is a real game-changer for anyone posting or watching longer videos. It organizes all the comments into different themes and topics. So, creators can quickly see what’s buzzing in the comments and dive into those chats.

2. Conversational AI Tool: A Whole New Way to Watch and Interact

Then there’s the conversational AI tool, and it’s all about keeping viewers glued. This tool steps up the game by answering your questions and recommending similar videos, all without stopping the video. You get all the info without ever hitting pause.

Availability: Premium Members Get First Dibs

These cool features aren’t out for everyone just yet. But if you’re a YouTube Premium member, you’re in luck. You can already try out the comment topics tool. And the conversational AI tool? It’s coming your way soon.

YouTube’s new AI features are set to transform how we interact with videos, making the whole experience more organized for creators and more engaging for viewers. Keep an eye out for these features rolling out to more users soon!

Feel free to check out our blog for more AI updates.

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