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Last week in AI. Episode 14

Last Week in AI: Episode 14

Welcome to another edition of Last Week in AI where we cover AI innovations and trends! This year at CES 2024, the spotlight was on AI advancements across various sectors, from AI-powered pillows to AI-powered birdfeeders. From the launch of the GPT Store to robots making coffee, the world of AI is evolving rapidly. Let’s dive in.

GPT Store

Big news of the week for many were the launch of the GPT Store, now open for ChatGPT Plus, Team, and Enterprise users, offers a variety of GPTs for different interests, like design, coding, and AI.

Key Points:

  • Wide range of GPT categories, including DALL·E, writing, and programming.
  • New GPTs featured weekly, like trail guides from AllTrails.
  • Easy GPT creation for users, with no coding needed.
  • Quality maintained through a review system and user reports.
  • GPT Builder Revenue Program allows creators to earn based on user engagement (US only).

In short, the GPT Store is making AI more accessible and offering creative and earning opportunities for users. Interestingly enough, the GPT Store is full of AI girlfriend bots.


OpenAI vs NYT

OpenAI has responded to The New York Times’ lawsuit, underlining its dedication to working with news outlets and supporting the news ecosystem. They aim to develop AI products to aid journalists and editors, utilize historical content for training AI models, and incorporate real-time content with proper attribution in ChatGPT.

Key Points:

  • OpenAI is focused on assisting the news industry through AI technology.
  • They claim that using publicly available internet materials for AI training is fair use.
  • OpenAI offers an opt-out for publishers and is addressing the issue of AI content regurgitation.

Despite the lawsuit, OpenAI is committed to constructive partnerships with news organizations like The New York Times and is actively working on solutions to support and enhance the news industry with AI.


Figure AI

Figure AI is advancing in AI robotics. They train robots for everyday tasks. Their robot, Figure-01, can now make coffee. This is a big step in robot skills.

Brett Adcock, the founder, sees a big future. He wants robots to help in many areas, like caring for the elderly. The focus is on jobs humans don’t want.

Key points:

  1. Figure-01 making coffee is a breakthrough.
  2. Robots could be useful in many fields.
  3. The aim is to help humans, not replace them.

All in all, Figure AI is all about making life easier with robots handling the less desirable tasks. Pretty exciting future ahead.


Nvidia 

India’s data center providers are buying thousands of Nvidia’s advanced GPUs, aiming to boost the country’s AI sector. This move follows Nvidia’s business loss in China due to US export controls on high-tech semiconductors. However, Nvidia believes global demand will compensate for this loss.

Key Points:

  • Indian companies like Yotta, Reliance Industries, and Tata Group are making big deals with Nvidia.
  • Yotta plans to deploy 32,000 Nvidia H100 and H200 GPUs by 2025.
  • This surge in GPU purchases in India reflects the growing AI market across various economic sectors.

India’s investment in Nvidia GPUs marks a significant growth in its AI industry, offering a promising opportunity for Nvidia amidst challenges in other markets.


Rabbit R1

The Rabbit R1, unveiled at CES 2024, is a new AI-powered virtual assistant and handheld device. It goes beyond a typical smartphone, featuring a sophisticated AI called the Large Action Model (LAM). This AI enables smoother and more conversational task performance compared to traditional virtual assistants like Alexa or Siri.

Key Points:

  • The LAM is adept at using various apps and can learn new tasks.
  • The R1 is a compact device with a 2.88-inch touchscreen, a rotating camera, and robust technical specs.
  • Priced at $199, it’s designed to transform the AI personal assistant market.

In summary, the Rabbit R1, with its advanced AI and impressive features, is generating excitement in the AI personal assistant space, promising a more intuitive and capable device experience.


AI Robots – ARRES PREVENT

ARRES (Autonomous Road Repair System) PREVENT, a robot for preventing potholes, is gearing up to hit the roads of Hertfordshire, England. Developed by Robotiz3d and the University of Liverpool, this AI-powered robot identifies and repairs potholes. It’s been in lab tests since 2020 and can autonomously locate and fix potholes, especially in residential areas.

Key Points:

  • ARRES uses AI to detect potholes and automatically repair surface cracks.
  • The technology promises to save time and money, reducing road maintenance disruptions.
  • This innovation is a collaboration between Robotiz3d, the University of Liverpool, and Hertfordshire County Council Highways Engineers, targeting the persistent pothole issue in the UK.

In summary, ARRES PREVENT is set to revolutionize road maintenance in the UK, using AI to tackle the long-standing problem of potholes, offering efficiency and cost-effectiveness.


Amazon

At CES 2024, Amazon unveiled new AI tools for its Alexa personal assistant. This includes innovative AI experiences like Character.ai for interactive conversations with generated characters, and Splash, an AI-driven music creation tool. Additionally, Volley introduced an AI “20 questions” game.

Key Points:

  • Character.ai and Splash enhance Alexa’s entertainment capabilities.
  • Volley’s game adds a fun, AI-powered dimension to voice interactions.
  • The Alexa Fund is backing projects like MultiOn, a new AI agent, and Embodied Inc’s Moxie AI, a robotic companion for children.

Amazon’s latest AI tools for Alexa show a strong commitment to weaving AI into everyday life, offering both fun and practical applications.


AI Gaming

The video game industry is facing challenges with AI integration, focusing on augmenting human capabilities without replacing jobs. Companies and unions are actively negotiating to protect workers’ rights and ensure AI is used in a worker-friendly way. For example, the Zenimax game workers union and Microsoft agreement emphasizes AI’s role in boosting productivity and growth without harm.

Key Points:

  • The industry aims to use AI to assist, not replace, human workers.
  • There are ongoing discussions to balance AI’s role in supporting existing jobs.
  • Agreements are being made to safeguard worker rights in the AI integration process.

The video game sector is keen on maintaining a balance where AI enhances job roles without threatening employment, reflecting a cautious yet optimistic approach towards AI’s growing role in the industry.


Google

Google is in a major patent infringement lawsuit over AI technology. Singular Computing, started by ex-MIT professor Joseph Bates, alleges that Google used its unique technology in various Google services. Singular is seeking up to $7 billion in damages, arguing that Google’s use of its patents would have merited a massive royalty payment.

Key Points:

  • Singular Computing claims Google infringed on its AI technology patents.
  • Google denies these claims, insisting on independent development of its processors.
  • The case, with potential damages of $7 billion, is heading to a federal jury.

Google faces a significant legal challenge with this patent infringement case, adding to its history of legal battles over technology patents.


Project Mockingbird

McAfee has introduced Project Mockingbird, an AI-powered technology to detect Deepfake Audio, aiming to tackle AI-generated scams. Revealed at CES 2024, this tool focuses on protecting users from AI-manipulated audio scams and misinformation.

Key Points:

  • Project Mockingbird uses AI models to identify AI-generated audio with over 90% accuracy.
  • It alerts users to maliciously altered audio in videos, helping differentiate real from fake content.
  • This innovation is part of a larger effort to combat AI challenges in cybersecurity.

Project Mockingbird by McAfee marks a significant advancement in fighting AI-generated scams, providing a crucial tool for digital safety in an era of rising AI-generated content threats.


Final Thoughts

As we wrap up, it’s clear that the boundaries of technology are being pushed further than ever before. The introduction of platforms like the GPT Store is making AI more accessible and versatile, while advancements in transportation and robotics are paving the way for a more efficient and interconnected world. These developments highlight the endless possibilities of AI in our daily lives. The future is bright and AI-driven, and we can’t wait to see what the next big breakthrough will be.

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Last week in AI updates

Last Week in AI

We’re seeing some fascinating developments in AI lately, from new apps and healthcare tools to major shifts in regulation and cybersecurity. Let’s dive into these updates.


OpenAI App Store Launch

OpenAI is about to shake things up by launching a store for GPTs, custom apps built on their AI models like GPT-4. Here’s what’s happening:

  1. GPT Store Launch: This new platform, announced at OpenAI’s DevDay, is set to open soon. It’s a place where developers can list their GPT-based apps.
  2. Rules for Developers: If you’re making a GPT app, you’ve got to follow OpenAI’s latest usage policies and brand guidelines to get your app on the store.
  3. Diverse Applications: These GPTs can do all sorts of things, from specialized Q&As to generating code that follows best practices.

What’s the big deal? Well, OpenAI is moving from just offering AI models to creating a whole ecosystem where others can build and share their AI-powered apps. This could really democratize how generative AI apps are made, though we’re still waiting to see the full impact of this move.


Google’s Fresh Approach to Training LLMs

Google’s DeepMind team is pushing the boundaries in robotics for 2024. They’re working on cool new ways to train robots using videos and big language models. Here’s the lowdown:

  1. Smarter Robots: The goal is to make robots that get what humans want and can adapt better. They’re moving away from robots that just do one thing over and over.
  2. AutoRT System: This new system uses big AI models to control a bunch of robots at once. These robots can work together and handle different tasks by understanding visual and language cues.
  3. RT-Trajectory for Learning: They’ve also got this new method that uses video to teach robots. It’s turning out to be more successful than older ways of training.

Basically, DeepMind is working on making robots more versatile and quick learners. It’s a big step from the robots we’re used to, and it could really change how we think about and use robots in the future.


Microsoft Copilot

Microsoft has been pretty sneaky, launching its Copilot app on Android, iOS, and iPadOS during the holidays. It’s like a portable AI buddy, based on the same tech as OpenAI’s ChatGPT. Here’s the lowdown:

  1. AI-Powered Assistant: Copilot (you might know it as Bing Chat) can help with all sorts of tasks. Drafting emails, summarizing texts, planning trips, and more – just by typing in your questions or instructions.
  2. Creative Boost with DALL·E 3: The app’s got this cool Image Creator feature powered by DALL·E 3. It lets you experiment with different styles, whip up social media posts, design logos, and even visualize storyboards for films and videos.
  3. Popular and Free Access to Advanced AI: It’s a hit! Over 1.5 million downloads across Android and iOS. What’s really neat is it uses the more advanced GPT-4 tech from OpenAI, and it’s free – unlike OpenAI’s GPT app that charges for GPT-4 access.

Microsoft’s move to make Copilot a standalone app, especially after rebranding Bing Chat, shows they’re serious about making AI more accessible and widespread. It’s a big step in bringing advanced AI right into our daily digital lives.


Perplexity AI

Perplexity AI is a new player in the search engine game, but with an AI twist. It’s like a chatbot that lets users ask questions in everyday language and gives back answers with sources. Here’s the scoop:

  1. Chatbot-Style Search: You ask questions, and it replies with summaries and citations, kind of like chatting with a super-smart friend. And you can dig deeper with follow-up questions.
  2. Pro Plan Perks: For those who want more, there’s a Pro plan. It has cool features like image generation, a Copilot for unlimited help, and even lets you upload files for the AI to analyze.
  3. Ambitious AI Goals: Perplexity isn’t stopping at search. They’re rolling out their own GenAI models that use their search data and the web for better performance. This is available to Pro users through an API.

But, with great AI comes great responsibility. There are worries about misuse and misinformation, plus the costs and copyright issues since GenAI models learn from heaps of web content. Despite these challenges, Perplexity has raised a lot of money and boasts 10 million active users each month. It’s definitely a name to watch in the AI search world!


AI Regulations

In 2024, there’s more action on AI rules globally. Last year saw big steps in setting these up. Now, countries like the U.S., the European Union, and China are each crafting their own AI laws, and other regions are joining in with their approaches to AI and its effects.

Three key takeaways:

  1. The US, EU, and China each have their unique strategies for AI regulations, reflecting their influence in the AI sector.
  2. These upcoming regulations will significantly impact companies, especially those in AI.
  3. It’s not just about tech; these rules are shaping international politics and relationships.

In short, AI regulation is evolving rapidly, making a notable impact on businesses and global politics. It’s a crucial area to watch for anyone interested in the future of AI and its governance.


AI Cybersecurity

AI trends are really shaping up, especially in cybersecurity. Last year, generative AI was a big deal, and it’s going to have an even bigger impact this year. Here’s what’s going on:

Key points:

  1. AI’s use, misuse, and importance in cybersecurity is a hot topic. Think of stuff like cyberattacks and data insecurity.
  2. Experts are talking about both the challenges and opportunities AI brings, like its role in detecting threats or creating malware.
  3. There’s a big focus on how AI might be misused for things like deep fakes and spreading false info.

In essence, AI is really changing the game in cybersecurity, with lots of potential for good and bad. It’s crucial for organizations to stay alert and understand how to handle these AI tools.


Data Ownership

The big thing in tech right now is all about who owns and controls data. We’re moving from a world where personal data was used freely to one where privacy and even data ownership rights are taking center stage. Think of it like data becoming the new “oil” for AI.

Here’s what’s happening:

  1. Laws like the GDPR kicked off this trend. Now, places like Brazil are also getting serious about data privacy and investing in regulations.
  2. This change is cutting down on the free-for-all use of personal data. Instead, we’re seeing new systems that give people more control over their data.
  3. Big names like Apple’s CEO, Tim Cook, are pushing for these changes, focusing on protecting and empowering consumers.

So, what’s the bottom line? Data ownership is becoming a huge deal in tech. It’s not just about privacy anymore; it’s about giving people a say in how their data is used, which is a game-changer for everyone in the data economy.


Investing in AI

In 2024, AI investing looks like it’s moving beyond just hype. Investors are keen on funding AI startups and are expecting this trend to keep up. But now, there’s a shift towards more sustainable, focused businesses in AI.

Here’s the scoop:

  1. We’re anticipating a new wave of AI startups. These aren’t just building on tech from giants like OpenAI or Google, but are more specialized and sector-specific.
  2. Investors like Lisa Wu from Norwest Venture Partners see big potential in these specialized AI businesses. They’re seen as safer bets because they’re not easy for big companies to just replicate.
  3. These startups are all about knowing their specific users and using AI to boost productivity. For example, law firms are using AI to work more efficiently and get better results at lower costs.

In short, AI investing is maturing. It’s less about general hype and more about creating targeted solutions that really understand and improve specific industries.


AI in Healthcare

Nabla, a Paris-based startup, is making big moves in healthcare with its AI doctor’s assistant. They’ve just bagged $24 million in Series B funding, and here’s why they’re a game-changer:

  1. Revolutionizing Medical Documentation: Nabla’s AI helps doctors by transcribing conversations, highlighting important info, and creating medical reports quickly. It’s all about boosting doctors’ efficiency, not replacing them.
  2. Focus on Data Processing: They put privacy first. No storing audio or notes without clear consent. Plus, they’re keen on accuracy, allowing doctors to share notes for transcription error correction.
  3. Impact and Future Goals: This AI tool is already helping thousands of doctors in the U.S., especially with the Permanente Medical Group. Nabla aims for FDA approval and wants to keep doctors at the heart of healthcare.

In short, Nabla’s AI is here to assist doctors, not take over their jobs. With this new funding, they’re set to transform how doctors use technology, all while maintaining strict privacy standards. It’s an exciting step forward for AI in healthcare. 🚀💡🏥


Final Thoughts

In the AI world, big things are happening! OpenAI’s new store, Google’s smart robots, Microsoft’s Copilot app, and Perplexity AI’s search engine are shaking things up. Plus, AI’s role in healthcare, data ownership, and global regulations are evolving fast. It’s a thrilling time for AI, with major changes and innovations all around! 🌐💡🤖

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