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AI Innovations & Industry Shifts: From GPT-5 to Legal Tech Overhaul

Stay ahead with the latest AI trends, tools, and insights transforming industries and everyday life

Author

Brent Moreno
July 03, 2024

Happy Independence Day to my US readers! Believe it or not, about 10% of the Aideations subscribers do not live in the US but I wanted to let everyone know I will not be sending a newsletter tomorrow and will be back on Friday with a recap of the entire week. Also, we have now produced over 300 newsletters and are looking to pivot in how we produce these newsletters. Donā€™t worry, everyone will have input but be on the lookout for some polls in upcoming editions. Not a lot will change but as news cycles and more and more daily AI newsletters emerge I want to niche down a little and focus more on how small business owners can leverage the tools and news I am seeing to benefit them. You may have seen recent editions to our snippets titled Practical Tips for Business Owners. This is a small piece of the direction shift we plan to implement.

šŸ§  Top Stories & Opinions

  • GPT-5: The PhD-Level AI, A New Era of Artificial Intelligence

  • Iconic Voices Now Read to You: ElevenLabs' New AI Reader App

  • Lawtech is Here, and AI is Changing the Game

  • Figma Pulls AI Tool After Criticism for Copying Appleā€™s Design

šŸ” News from the Front Lines

  • 5 prompts to test Runway's Gen-3 ā€” this is a big step up for AI video.

  • Apple just got a seat on OpenAI's board. That's probably bad for Microsoft.

  • Cloudflare launches a tool to combat AI bots.

  • AI drive-thru ordering is on the rise but it may take years to iron out its flaws.

šŸ“š Tutorial of the Day

  • Intro To RAG (Retrieval Augmented Generation)

šŸ§  Research of the Day

  • LLM Critics Help Catch LLM Bugs

    • CriticGPT uses reinforcement learning from human feedback to improve code review accuracy, catching more bugs than human reviewers.

šŸŽ„ Video of the Day

  • Creating An Entirely New Internet With AI (Insane)

āš™ļø Tools of the Day

  • Gendo, Websim, Popster, BitMagic, Mokker, Wanderboat

šŸ’” Prompt of the Day

  • Operational Efficiency GPT - Streamline Your Business Processes and Reduce Expenses

šŸ¦ Tweet of the Day

  • Javi Lopez shares the best GEN-3 prompts for Runway's text-to-video AI generator.

GPT-5: The PhD-Level AI, A New Era of Artificial Intelligence

Quick Byte:
The AI world is buzzing about OpenAI's upcoming GPT-5, expected to perform at a PhD level in specific tasks. This next iteration aims to surpass the "high schooler" capabilities of GPT-4, marking a significant leap in AI technology.

Key Takeaways:

1. From High School to PhD

GPT-5 is anticipated to leap from GPT-4ā€™s high school-level performance to PhD-level capabilities, thanks to advanced neural networks, vast datasets, and immense computing power.

2. Deep Learning Magic

GPT-5 uses deep learning to identify intricate patterns in data, leading to enhanced performance and a deeper understanding of complex issues. Itā€™s like having a super-smart brain that can see patterns and connections we might miss.

3. AI Agents in Action

One of the standout features of GPT-5 is the potential for AI agentsā€”systems that can work together, chat with us, and even hop onto the internet to get things done. Imagine a team of AI assistants working alongside you!

4. Safety First

OpenAIā€™s development process prioritizes both capability and safety, ensuring that the new model is not only powerful but also beneficial and safe for society. This involves extensive research and testing.

5. Apple-Meta Partnership?

Beyond GPT-5, Apple is exploring collaborations with other AI giants like Meta. If successful, this partnership could bring a wider array of AI models to Appleā€™s AI suite, enhancing personalization and customization for users.

6. Industry Game-Changer

GPT-5ā€™s potential to revolutionize various sectorsā€”including finance, healthcare, and customer serviceā€”cannot be overstated. The model is expected to be available within 18 months, aiming for AGI by 2027.

Bigger Picture:
The excitement surrounding GPT-5 signals a new era in artificial intelligence. As we move closer to achieving Artificial General Intelligence (AGI), the potential for AI to transform industries and everyday life is immense. However, this rapid advancement also underscores the need for careful implementation, ethical considerations, and robust safety measures. Businesses that strategically integrate AI will be well-positioned to thrive in this evolving landscape, while those that ignore these advancements may find themselves left behind.

Iconic Voices Now Read to You: ElevenLabs' New AI Reader App

Quick Byte:
Ever wondered what it would be like to have Judy Garland or Laurence Olivier read you a bedtime story? ElevenLabs is making that dream a reality. Their new Reader app brings legendary voices back to life, offering an audiobook experience like never before.

Key Takeaways:

  • Bringing the Classics to Life: ElevenLabs has licensed and cloned the voices of iconic actors like Judy Garland, James Dean, Burt Reynolds, and Sir Laurence Olivier, allowing them to read anything from articles to novels.

  • How It Works: The Reader app, currently available for iPhone in the U.S. and UK, lets users choose from a library of thousands of voices to read text, links, or files aloud. Itā€™s expanding to Android and more countries soon.

  • Impressive Accuracy: The voice clones are highly accurate, making the listening experience almost indistinguishable from the real thing. Imagine Laurence Olivier narrating "1984" by George Orwell ā€” it's a whole new level of immersion.

  • Versatile Use: From storytelling to meditation, the app offers a wide range of voices suitable for various purposes, enhancing both leisure and learning experiences.

  • Future Prospects: ElevenLabs is in talks to add more legendary voices, aiming to make content accessible in any language and voice.

Why It Matters:
ElevenLabs is changing the game for audiobook and content consumption, combining advanced AI technology with a touch of nostalgia. This innovative approach not only honors the legacy of iconic voices but also provides a unique and engaging way to experience stories and information.

Lawtech is Here, and AI is Changing the Game

Quick Byte:
The legal industry is getting a much-needed tech makeover, thanks to AI. With the surge in capabilities of large language models, legal tech is finally taking off. Think of it as fintech for lawyers, but with a lot more jargon and complexity.

Key Takeaways:

  • Big Investments and Big Changes: Legal tech companies in the UK are seeing unprecedented investment, with 13 companies raising Ā£100.5 million this year alone. Big Tech is also getting in on the action, backing startups like Definely and Lawhive.

  • AI Meets Legal Expertise: Generative AI is perfect for the legal world, transforming how lawyers handle massive amounts of text and unstructured data. This tech is helping draft documents, proofread, and even pass legal exams.

  • Homegrown Solutions: Talented lawyers from top firms are driving this revolution. Frustrated with archaic ways of working, theyā€™re creating innovative solutions to streamline legal processes and reduce stress.

  • The Rise of Legal Chatbots: AI-powered chatbots like Harvey are being adopted by major law firms, providing quick, efficient assistance with legal tasks.

  • Billable Hours on the Chopping Block?: With more automation, the traditional model of billing clients in six-minute increments is under threat. Some senior lawyers believe this change could happen within months.

Why It Matters:
The legal industry, long resistant to change, is being transformed by AI. This shift promises to make legal work more efficient, reduce costs, and even change how lawyers bill their clients. As legal tech continues to evolve, itā€™s clear that the future of law is here, and itā€™s powered by AI.

Figma Pulls AI Tool After Criticism for Copying Appleā€™s Design

Quick Byte:
Figmaā€™s new AI tool, Make Designs, was supposed to revolutionize app mock-ups but ended up in hot water for mimicking Appleā€™s iOS weather app. Now, Figma has pulled the tool, and CEO Dylan Field is taking the heat for rushing the launch. Hereā€™s what went down and whatā€™s next for Figma.

Key Takeaways:

1. Too Close for Comfort
Figmaā€™s Make Designs tool drew flak for creating app designs that were strikingly similar to Appleā€™s iOS weather app. Andy Allen, CEO of Not Boring Software, sounded the alarm on X (formerly Twitter), warning designers to double-check the results to avoid legal trouble. The controversy highlights the challenges AI faces in creating original content without stepping on existing IPs.

2. Whoā€™s to Blame?
In an interview, Figma CTO Kris Rasmussen clarified that Figma didnā€™t train the generative AI models used in Make Designs. Instead, the tool relied on off-the-shelf models and a bespoke design system. This raises questions about where these models got their training data. Rasmussen admitted that the toolā€™s ā€œvariability is too low,ā€ leading to the design similarities.

3. The Models Behind the Magic
The AI models powering Make Designs are OpenAIā€™s GPT-4o and Amazonā€™s Titan Image Generator G1. If these models were the source of the Apple-like designs, it suggests that OpenAI or Amazonā€™s training data might include Appleā€™s designs. OpenAI and Amazon have yet to comment on the matter.

4. Transparency and Training Policies
Figma introduced new AI training policies last week, giving users until August 15th to opt in or out of having their content used for training. Figma plans to train its models to improve design workflows but promises to focus on general design patterns and Figma-specific concepts to avoid copying existing designs.

5. Fixing the Flaws
Rasmussen stated that Figma is reviewing its bespoke design system to ensure more variation and higher quality. The goal is to prevent similar issues in the future and uphold Figmaā€™s standards and values. Make Designs is currently in beta, and Figma aims to re-enable it soon after making necessary adjustments.

6. The Bigger Picture
Figma isnā€™t the first company to face backlash over AI in creative tools. Adobe and Meta have also navigated controversies around AI training and labeling. As AI continues to evolve, companies must balance innovation with respect for intellectual property and user trust.

Why It Matters:
Figmaā€™s quick action in pulling the tool and acknowledging the issue is a step in the right direction. However, this incident underscores the broader challenge AI companies face in ensuring their tools donā€™t inadvertently copy existing designs. As AI becomes more integrated into creative processes, maintaining originality and respecting IPs will be crucial for earning and keeping user trust.

5 prompts to test Runway's Gen-3 ā€” this is a big step up for AI video

Apple just got a seat on OpenAI's board. That's probably bad for Microsoft

Apple and Microsoft are vying to be the world's most valuable company

Cloudflare launches a tool to combat AI bots

Cloud service provider Cloudflare has launched a new tool that attempts to automatically detect and block AI bots, crawlers and scrapers.

AI drive-thru ordering is on the rise but it may take years to iron out its flaws

Artificial intelligence is closer than ever to taking down drive-thru orders, but fast-food restaurants like McDonald's show that the tech still needs time.

Intro To RAG (Retrieval Augmented Generation)

Authors: Nat McAleese, Rai (Michael Pokorny), Juan Felipe CerĆ³n Uribe, Evgenia Nitishinskaya, Maja Trębacz, Jan Leike

Institutions: OpenAI

Summary: This research introduces CriticGPT, a new model that helps humans evaluate code written by large language models (LLMs). By using reinforcement learning from human feedback (RLHF), CriticGPT generates natural language feedback that highlights problems in code. The results show that CriticGPT's critiques are preferred over human critiques in 63% of cases and catch more bugs than human reviewers. This study represents a significant step forward in scalable oversight for AI systems.

Why This Research Matters: As LLMs become more capable, even experts struggle to evaluate their outputs reliably. This limitation poses a fundamental challenge to reinforcement learning from human feedback (RLHF). By training LLM critics like CriticGPT, we can improve human evaluation accuracy, leading to better and safer AI systems. This research demonstrates that LLM critics can outperform human reviewers in detecting bugs, providing a scalable solution to ensure high-quality AI outputs.

Key Contributions:

  1. LLM Critics: Introduces CriticGPT, an LLM trained to provide natural language critiques of code, helping humans identify errors.

  2. Human-Preferred Critiques: Shows that CriticGPT's feedback is preferred over human critiques in 63% of cases.

  3. Improved Bug Detection: Demonstrates that CriticGPT catches more bugs than human contractors, significantly enhancing code quality.

  4. Self-Evolving Agents: Highlights the potential for AI systems to evolve and improve autonomously by using models like CriticGPT to refine their outputs.

Use Cases:

  • Code Review: Assists developers by providing high-quality critiques of code, reducing the time and effort required for manual reviews.

  • Educational Tools: Enhances programming education by offering detailed feedback on students' code, helping them learn and improve faster.

  • AI Development: Improves the robustness of AI systems by ensuring that outputs are thoroughly vetted and refined.

Impact Today and in the Future:

  • Immediate Applications: CriticGPT can be integrated into existing code review processes, improving accuracy and efficiency.

  • Long-Term Evolution: This research sets the stage for more advanced and autonomous AI systems capable of self-improvement.

  • Broader Implications: By ensuring the quality and safety of AI outputs, CriticGPT and similar models can accelerate the development and deployment of reliable AI technologies across various domains.

CriticGPT is revolutionizing how we ensure the quality of AI-generated content. By leveraging advanced feedback mechanisms, it outperforms human reviewers and paves the way for more robust and reliable AI systems. This breakthrough represents a crucial step towards scalable and effective oversight in the rapidly evolving field of artificial intelligence. Get ready for smarter, self-improving AI!

Gendo - Enterprise and Professional grade AI visualisation - built by, and for designers.

Websim - A simulated web browser that can generate virtually anything, including games in just a few seconds.

Popster - A song-creation tool and music video platform, Popster allows artists to engage with other musicians, create original songs and music videos, and share them on social media. Users can record video and voice directly in the app and add stickers and color backgrounds.

BitMagic - Design your playable game world in real-time, no matter where you are or what language you speak. Imagine amazing 3D games just the way you want them, without the hassle of coding.

Mokker - AI Background for Product Photos. Professional product photos, instantly. From a single product image.

Wanderboat - Tailoring attractions, cuisine, and events. Your 24/7 travel companion is finally here.

Operational Efficiency GPT - Streamline Your Business Processes and Reduce Expenses

CONTEXT:
You are Operational Efficiency GPT, a consultant known for helping businesses streamline their processes and reduce unnecessary expenditures while maintaining high-quality outputs. Your expertise in operational efficiency helps companies become more competitive and profitable.

GOAL:
Develop a plan with five key strategies to optimize your business operations to reduce costs without compromising the quality of your services or products. These strategies should be practical, impactful, and sustainable.

CRITERIA:

Comprehensive Operational Review: Strategies should include a thorough review of current operations, identifying areas where efficiencies can be improved.
Innovative Cost Reduction: Provide unique and effective methods for reducing costs that go beyond standard practices like downsizing or outsourcing. Think about process automation, supplier negotiations, or energy efficiency improvements.
Quality Assurance: Each strategy must include mechanisms to ensure that reductions in cost do not lead to a decline in the quality of the products or services offered.
Actionable and Detailed: Provide specific, actionable steps for each strategy, detailing how they can be implemented without disrupting the business's daily operations.
Sustainability Focus: Emphasize solutions that are sustainable, avoiding short-term gains at the expense of long-term viability.
Measurement and Adjustment: Include methods for tracking the effectiveness of the cost-reduction strategies and adjusting them as necessary to ensure they continue to meet quality standards.

INFORMATION ABOUT YOUR BUSINESS:
(Please provide detailed information about your business to tailor the strategies effectively.)

Business Type: [Describe your business type and main offerings]
Current Operational Processes: [Detail key operational processes involved in your business]
Known Cost Challenges: [List significant cost-related challenges your business is facing]
Quality Standards: [Describe the quality standards that are crucial for your business]

RESPONSE FORMATTING:
Please format your response using Markdown. Outline each operational optimization strategy with bullet points, clearly detailing the approach, expected outcomes, and practical steps for implementation.