o1 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: NotebookLM turned Mollick’s book into a podcast—and more

Sep 19, 2024
3 min read

Updated: Sep 20, 2024

Hello, AI Enthusiasts.

End your Thursday on a high note with tonight’s newsletter!

Ethan Mollick has put Google’s NotebookLM to the test, creating an AI-generated podcast from his book that feels like a genuine conversation. Plus, we’re sharing the latest on Google’s AI ad tools and Sam Altman’s predictions about upcoming advances in AI reasoning.

There’s plenty to explore, so enjoy the read! 🌙

Here's another crazy day in AI:

The AI tool that can turn your book into a podcast and more
Google boosts AI ad tools with new features
Sam Altman predicts big leap in AI reasoning with o1 model
Some AI tools to try out

TODAY'S FEATURED ITEM: How NotebookLM Transformed Mollick's Work

Image Credit: Wowza (created with Ideogram + Canva magic expand)

What if AI could turn a book into a podcast, study guide, and interactive chat in just minutes?

Google's NotebookLM has caught the attention of Ethan Mollick, author of "Co-Intelligence: Living and Working with AI." Shared in a recent X post, he used his own book to put the platform to the test. The results were surprising: NotebookLM didn’t just summarize the book; it created a podcast, a study guide, a timeline, an FAQ, and even allowed for a conversational interface about the book's content.

But here's the kicker: the AI-generated podcast actually sounds like a real conversation between two people discussing the book's ideas.

Let's break down what makes this interesting:

NotebookLM transforms text into various formats: a podcast, study guide, FAQ, timeline, and even a conversational chat interface.
The AI-generated podcast has a natural, conversational flow that's surprisingly engaging.
It's a glimpse into how quickly AI can process and repurpose large chunks of information.
Users can likely tailor the generated content to suit their needs.

This kind of technology is pushing the boundaries of what we thought was possible with content creation. It's not about replacing human creativity, but rather opening up new ways for us to interact with information. Imagine being able to "read" a book by listening to an AI-generated discussion about it, or having a conversation with an AI that's digested an entire textbook. It's not science fiction anymore - it's happening now.

But let's not get ahead of ourselves. While this is impressive, it's important to remember that AI is a tool, not a magic wand. The real power comes from how we use it, the questions we ask, and the human touch we bring to the table.

The challenge now lies in how we integrate these tools into our workflows and learning processes. As AI continues to evolve, so too must our approach to using it effectively and responsibly.

Watch it on X here.

OTHER INTERESTING AI HIGHLIGHTS:

Google boosts AI ad tools with new features

/Andrew Hutchinson on Social Media Today

Google is rolling out advanced AI updates for Google Ads, announced at DMEXCO. New features include AI asset generation, expanded AI language support, and improved reporting. These updates allow advertisers to customize ads in more languages, generate images using AI, and gain better control over AI-generated content. The integration of omnichannel bidding and campaign-level negative keywords into Performance Max campaigns further boosts ad performance.