Another Crazy Day in AI: Groundbreaking copyright trial starts

Hello, AI Enthusiasts.

Good evening! After a busy Tuesday, we’ve curated a selection of the latest AI stories and updates for you.

We hope these reads help you unwind and keep you up-to-date with the latest in tech.

Here's another crazy day in AI:

• AI and Copyright: a historic trial begins

• Elon University rolls out AI guide and ElonGPT for responsible use

• Fine-tuning AI to boost economic growth

• Some AI tools to try out

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TODAY'S FEATURED ITEM: AI's First Legal Test: What’s at Stake

Wix Media / Gavel

What could the first trial testing AI and copyright laws mean for the future of technology?

This week, the first-ever AI copyright trial, Thomson Reuters v. Ross Intelligence, begins, setting the stage for how courts might handle the complex intersection of AI and copyright law. Aaron Moss, Founder and Editor of Copyright Lately, explores the implications of this groundbreaking case, which will determine if using copyrighted material to train AI tools is fair use.

What you should know:

• Historic Significance: This trial is a landmark event, setting a precedent for how courts will interpret copyright law in the age of artificial intelligence.

• Who’s Involved: Thomson Reuters and West Publishing are challenging Ross Intelligence, a legal tech startup, accusing it of using their proprietary content without permission to train its AI system.

• Legal Focus: The trial centers on whether Ross’s use of Westlaw’s legal summaries and headnotes infringes on copyright or if it qualifies as fair use under the law.

• AI’s Impact: A major question is whether AI’s method of learning from copyrighted material constitutes a transformative use or simply reproduces existing content.

• Wider Consequences: The verdict could shape the future of AI development and data usage, influencing how tech companies approach copyright and potentially altering industry standards.

Though it might lack the glamour of high-profile trials, the Thomson Reuters v. Ross Intelligence case is a critical juncture in the ongoing debate over AI and copyright law. This trial stands to define how courts will balance the interests of content creators with the innovative potential of AI technologies. As we follow this case, its outcome will not only resolve the specific dispute between these parties but also offer valuable insights into how similar issues might be approached in the future. The ruling could set a significant legal precedent, guiding the industry’s approach to data use, licensing, and the ethical implications of AI advancements. As the courtroom drama unfolds, the broader tech community and legal experts will be keenly watching for the implications this case will have on the future of technology and intellectual property.

Read more here.

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OTHER INTERESTING AI HIGHLIGHTS:

Elon University rolls out AI guide and ElonGPT for responsible use

/Avery Sloan on Elon News Network

Elon University has introduced a comprehensive AI student guide to promote ethical AI usage, along with ElonGPT, a new AI tool designed to help students navigate the academic environment responsibly. Elon’s Director of AI, Mustafa Akben, emphasizes that AI should not replace human work and that each professor retains autonomy over its classroom use. The guide also covers how AI can be utilized in careers, with a focus on fostering productive and ethical AI practices.

Read more here.

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Fine-tuning AI to boost economic growth

/David Rotman on MIT Technology Review

The future of AI could be pivotal in reviving economic productivity, but it requires significant adjustments, according to economists like Chad Syverson. While AI’s impact on productivity remains uncertain, the technology's potential to transform industries like manufacturing is immense. However, current AI models fall short in domain-specific knowledge needed for manufacturing, highlighting the need for industry-specific AI advancements to drive true economic growth.

Read more here.

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SOME AI TOOLS TO TRY OUT:

• Jotlify: turn research into compelling stories, insights, and audio

• Dezyn: convert diagrams into interactive experiences

• Talktune: sharpen speaking skills with AI-driven mock interviews

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That’s a wrap on today’s Almost Daily craziness.

Catch us almost every day—almost! 😉

Leveraging AI for Enhanced Content: As part of our commitment to exploring new technologies, we used AI to help curate and refine our newsletters. This enriches our content and keeps us at the forefront of digital innovation, ensuring you stay informed with the latest trends and developments.

Another Crazy Day in AI: Evolving prompts for evolving models

Hello, AI Enthusiasts.

Hope your Tuesday went well!

Relax and catch up on some intriguing AI content we’ve picked out for you.

Here's another crazy day in AI:

• How prompting strategies evolve with technology (Paper)

• AI chatbots: companions that reduce loneliness (Paper)

• Study reveals decision-making quirks of AI chatbots

• Some AI tools to try out

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TODAY'S FEATURED ITEM: Adapting prompts in the age of Generative AI

Image Source: Canva Free Content library

Have you noticed yourself changing how you interact with AI lately?

A recent paper published on July 22, 2024, by researchers from various institutions including the University of Maryland, MIT, Stanford University, UC Berkeley, University of Cyprus, and Microsoft Research, explores how people adapt their prompts as generative AI models, specifically DALL-E 2 and DALL-E 3, become more advanced. This study involved 1,891 participants who generated over 18,000 prompts in an online experiment to analyze the impact of model capabilities on user performance and prompting behavior.

Key takeaways from the experiment:

• Performance Boost: Participants using the more advanced DALL-E 3 model achieved significantly better results than those using DALL-E 2 when trying to reproduce target images.

• Dual Factors in Improvement: The performance gap was attributed equally to:
  

  • The enhanced technical capabilities of DALL-E 3
    

  • Endogenous changes in participants' prompting strategies in response to these improved capabilities

• Adaptive Prompting Behavior: Despite being unaware of which model they were using, participants assigned to DALL-E 3:
  

  • Wrote longer prompts
    

  • Created prompts with greater semantic similarity to each other
    

  • Included a higher number of descriptive words in their prompts

• Impact of Automatic Revision: While DALL-E 3 with automatic prompt revision still outperformed DALL-E 2, it reduced the benefits of the advanced model by 58%, suggesting that human adaptation plays a crucial role in maximizing AI potential.

• Continuous Human-AI Co-evolution: The study suggests that as AI models continue to progress, people will intuitively adapt their prompts to take advantage of new capabilities, even without explicit knowledge of the model's improvements.

• Quantitative Robustness: The study's conclusions are based on a substantial dataset of over 18,000 prompts collected from 1,891 participants, providing strong statistical support for the findings.

• Implications for AI Development: The research highlights the importance of considering human behavioral adaptation when designing and deploying new AI models, as user interaction significantly impacts the effective performance of these systems.

The results highlights the importance of adaptability in our interactions with AI. As models like DALL-E 3 demonstrate enhanced capabilities, users instinctively modify their prompting strategies, leading to better outcomes. This dynamic suggests that the art of prompting will remain a vital skill, ensuring that individuals can fully leverage the potential of generative AI.

This study really caught our attention. It's fascinating to see how we humans naturally adapt to AI improvements, even when we're not aware of them. It's like we're unconsciously leveling up our skills alongside the AI. As these systems get smarter, it looks like we're getting savvier too.

Read the full paper here.

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OTHER INTERESTING AI HIGHLIGHTS:

AI chatbots: companions that reduce loneliness

(Paper)

/Authors: Jahani et al., 2024

Featured by Ethan Mollick on LinkedIn

A new study provides compelling evidence that AI companions can alleviate loneliness. The research shows that AI chatbots, designed for sophisticated conversations, are effective at reducing loneliness, comparable to interacting with another person and more effective than watching videos. The study also highlights that users often underestimate the benefits of AI companions. The findings indicate the potential of AI in addressing widespread societal loneliness.

Read the paper here.

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Study reveals decision-making quirks of AI chatbots

/Sarah Magnus-Sharpe on Cornell SC Johnson College of Business

A study from Cornell SC Johnson College of Business reveals unique insights into AI chatbot decision-making processes. Despite their advanced computational abilities, AI chatbots exhibit decision-making patterns influenced by human-like cognitive biases and rationality deviations. The research highlights how AI chatbots can complement human decision-making by mitigating certain biases while also cautioning business professionals to recognize and manage the limitations of AI.

Read more here.

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SOME AI TOOLS TO TRY OUT:

• MyAskAI: create a custom AI agent for 24/7 customer support, integrating with live chat apps, websites, Slack, or via API

• Learn Prompting: courses for professionals on using AI effectively and safely in real-world scenarios

• Coze: platform for quickly building and deploying advanced AI chatbots across social and messaging apps, with no coding required

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That’s a wrap on today’s Almost Daily craziness.

Catch us almost every day—almost! 😉

Leveraging AI for Enhanced Content: As part of our commitment to exploring new technologies, we used AI to help curate and refine our newsletters. This not only enriches our content but also keeps us at the forefront of digital innovation, ensuring you stay informed with the latest trends and developments.

Another Crazy Day in AI: A critical look at AI's claim to transform every industry

Hello, AI Enthusiasts.

Welcome to the Weekend! 🎉

We know you've been working hard all week, so here's some AI goodness to wrap up your Friday and get you ready for a great weekend.

Here's another crazy day in AI:

• Unpacking the promise of AI across industries

• OpenAI’s search engine debut—SearchGPT

• Google’s new AI model predicts climate trends faster

• Some AI tools to try out

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TODAY'S FEATURED ITEM: A critical look at AI's claim to transform all sectors

Canva Stock Photos

Are we truly on the edge of an AI-driven revolution, or is it just another overblown promise from tech giants?

Bernard Marr, in his article "Will AI Really Revolutionize Every Industry?" on Forbes, critically examines the sweeping claims about AI's potential impact across various sectors. He scrutinizes the hype surrounding AI’s transformative power, questioning whether the bold predictions are grounded in reality or just marketing strategies from powerful corporations. Marr assesses the realistic pace and extent of AI’s influence, contrasting it with the grandiose forecasts that dominate the conversation.

Key takeaways:

• AI's projected economic impact is substantial, with PwC predicting $15 trillion in global value by 2030.

• Significant AI-driven changes are anticipated across various sectors, including healthcare, finance, manufacturing, and retail.

• Many predictions are based on AI's potential rather than its current capabilities.

• While some industries show tangible AI benefits, others have yet to see widespread adoption.

• The long-term transformational impact of AI seems likely, drawing parallels with previous technological revolutions.

Ideas to consider:

• Trust and adoption: How can we address public skepticism and build trust in AI technologies?

• Regulatory landscape: What policies and regulations are needed to ensure responsible AI development and implementation?

• Technical challenges: How can issues like AI hallucination and bias be effectively addressed?

• Industry-specific impacts: Which sectors are likely to see the most immediate and significant changes due to AI?

• Workforce implications: How can we prepare for potential job market disruptions and new skill requirements?

• Ethical considerations: What ethical frameworks should guide AI development and deployment?

• Realistic timelines: How can we set realistic expectations for AI integration across various industries?

There's no doubt AI's got some serious potential to shake things up across industries, but it's important to stay realistic about its journey. The path to widespread AI adoption may be slower than hyped, but its long-term impact is undeniable.

We think the key is to stay in the loop and keep a critical eye on what's really happening with AI. That way, we can all play a part in steering this ship towards a future where we're reaping the benefits and not just dealing with the headaches.

Let's get excited about what AI can do, but let's also keep our feet on the ground. There's still a lot of work to be done, and we're just at the beginning of this wild ride.

Read the full article here.

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OTHER INTERESTING AI HIGHLIGHTS:

OpenAI’s search engine debut—SearchGPT

/Kyle Wiggers, TechCrunch

OpenAI is stepping into the search engine arena with SearchGPT, a new tool designed to provide timely answers and rich web content directly from search queries. Unlike traditional search engines, SearchGPT incorporates real-time web information and allows users to explore related searches. With integration planned into ChatGPT, this tool aims to streamline web searches and improve user experience while addressing concerns about plagiarism and content cannibalism in AI-generated overviews.

Read more here.

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Google’s new AI model predicts climate trends faster

/Helena Kudiabor, Nature

Google's latest advancement, NeuralGCM, merges traditional weather forecasting with machine learning to offer precise weather predictions and climate projections. This hybrid model promises faster, more energy-efficient forecasts and excels in long-term climate predictions. NeuralGCM outperforms existing models, including GCMs and other machine-learning tools, in accuracy and reliability for predicting extreme weather events, potentially transforming climate preparedness and decision-making.

Read more here.

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SOME AI TOOLS TO TRY OUT:

• Lately: elevate your content with the world’s first Neuroscience-Driven AI™ Deep Social platform

• Undermind: AI assistant that sifts through academic papers to find precise, complex information for you

• Food Mood: get meal inspiration and create new recipes by blending two cuisines with Google AI

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That’s a wrap on today’s Almost Daily craziness.

Catch us almost every day—almost! 😉

Leveraging AI for Enhanced Content: As part of our commitment to exploring new technologies, we used AI to help curate and refine our newsletters. This not only enriches our content but also keeps us at the forefront of digital innovation, ensuring you stay informed with the latest trends and developments.