ai model | Wowza

Another Crazy Day in AI: Beyond quick answers

Oct 21, 2024
4 min read

Hello, AI Enthusiasts.

How did your weekend go? Now that we’re back into the week, let’s explore some AI updates.

OpenAI recently hosted a webinar where they introduced their O1 series of reasoning models, detailing how they differ from the GPT series and showcasing their potential applications in strategy, coding, and research.

Plus, you won’t want to miss these 8 insider tips for maximizing your NotebookLM experience. And check out an intriguing paper looking into the potential effects of AI on the integrity of online questionnaires.

Let’s make the most of this week! 🚀

Here's another crazy day in AI:

How OpenAI’s o1 models solve complex problems
8 insider tips for maximizing your NotebookLM experience
PAPER: "Detecting the corruption of online questionnaires by artificial intelligence"
Some AI tools to try out

TODAY'S FEATURED ITEM: AI Models that Think Deeper: OpenAI’s o1 Series

Image Credit: Wowza (edited with Canva; screenshots from the OpenAI webinar)

Have you ever thought about how AI can actually think through complex problems like strategy and coding, instead of just giving quick responses?

OpenAI recently hosted a webinar introducing their o1 series of reasoning models. Hosted by Victoria from OpenAI’s product marketing team and Joe from solutions engineering, the webinar provided an in-depth look at how these models differ from their predecessors in the GPT series. Rather than just responding quickly, the o1 models are built to reason through problems, making them particularly effective for tasks requiring detailed analysis, such as strategic planning, research, and coding.

What you need to know:

o1 models prioritize reasoning over quick responses, leading to more thoughtful and robust answers.
These models reduce the need for multiple prompts, making answers more comprehensive and efficient.
Two models in the series: The o1-preview model is especially suited for strategic ideation and research, while the o1-mini excels at coding and math tasks.
O1 models produce a summary of their chain of thought, allowing users to follow their reasoning process.
Enhanced safety features ensure the models can adhere to security guidelines and prevent jailbreaking attempts
Real-world applications were demonstrated, including market expansion planning and web application development
Future updates will include web browsing, file and image uploading, and automatic model selection based on prompts.

One of the key features that sets the o1 models apart is their ability to reason through tasks in a way that previous models couldn’t. In the webinar, for example, they demonstrated how the model approaches a market expansion problem, working through multiple scenarios, suggesting alternatives, and evaluating risks. The result is a more complete solution that considers multiple angles, which can be incredibly useful for decision-making in business settings. This kind of detailed analysis is a significant departure from simply providing quick, surface-level responses.

At the same time, OpenAI acknowledges that the o1 models are still in the early stages of their development. The team continues to refine these models, with plans to integrate even more features in future updates, including expanded capabilities for research and coding tasks. This commitment to iterative development means that while the o1 series already offers powerful tools for problem-solving, there is still significant room for growth, making these models even more versatile in the future.

Overall, this webinar provides a grounded look at the current capabilities of these models while also highlighting their potential. These models don’t just respond to queries—they engage in deeper reasoning, offering insights that could be transformative for how we approach complex challenges in fields like strategy, research, and engineering. The real value here is in how these tools can evolve alongside the growing needs of businesses, bringing a new level of thoughtfulness and precision to the tasks they’re asked to solve.

Watch the recorded webinar here.

OTHER INTERESTING AI HIGHLIGHTS:

8 insider tips for maximizing your NotebookLM experience

/Molly McHugh-Johnson, The Keyword, Google Blogs

NotebookLM, a new tool from Google, acts as a research assistant designed to help users dive deep into their projects. From organizing sources to synthesizing information, it aids in connecting the dots between documents and creating personalized outputs like study guides or briefings. With up to 50 sources, NotebookLM leverages AI to manage information effectively. Steven Johnson, a member of the development team, offers eight essential tips for beginners to maximize its potential, from experimenting with recent documents to using creative formats like Audio Overviews.

Read the full article here.

PAPER: "Detecting the corruption of online questionnaires by artificial intelligence"

/Featured on Ethan Mollick's LinkedIn post

This paper explores how artificial intelligence (AI) threatens the validity of online research questionnaires. AI-driven responses, often undetectable by automatic systems, are corrupting crowdsourced surveys. While human reviewers achieve a 76% accuracy rate in identifying AI-generated text, this is still insufficient for maintaining data quality. The research highlights the growing concern that, if unchecked, AI could render online surveys ineffective as a research tool, with platforms unable to rely on current detection systems.

Read the paper here.

Check out Mollick's LinkedIn post here.

SOME AI TOOLS TO TRY OUT:

TimeSkip - Instantly create YouTube video chapters with easy-to-copy timestamps.
Contract AI - AI platform for easy contract understanding, analysis, and management.
AI Desk - AI-powered customer support tailored for your website.

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

Catch us almost every day—almost! 😉

EXCITING NEWS:

The Another Crazy Day in AI newsletter is now on LinkedIn!!!

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

Jul 30, 2024
3 min read

Updated: Aug 5, 2024

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

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.

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.

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.

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

Jul 26, 2024
3 min read

Updated: Aug 1, 2024

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

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.

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.