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The Truth About OpenAI’s o1: Is It Worth the Hype?
Explore the capabilities and limitations of OpenAI’s o1 model, its impact on the AI community, and its potential role in the future of AI in Asia.
Published
1 month agoon
By
AIinAsia
TL;DR:
- OpenAI’s o1 model excels at complex reasoning but is more expensive and slower than GPT-4o.
- Open AI’s o1 is best suited for big, complicated tasks rather than simpler questions.
- The AI community has mixed feelings about o1’s capabilities and its high cost.
The Arrival of OpenAI’s o1: A Step Forward or Back?
OpenAI recently released its new o1 models, nicknamed “Strawberry,” which pause to “think” before answering. While there’s been much anticipation, the model has received mixed reviews. Compared to GPT-4o, o1 is better at reasoning and complex questions but is roughly four times more expensive. It also lacks the tools, multimodal capabilities, and speed that made GPT-4o impressive. OpenAI even admits that GPT-4o is still the best option for most prompts.
Ravid Shwartz Ziv, an NYU professor studying AI models, shares, “It’s impressive, but I think the improvement is not very significant. It’s better at certain problems, but you don’t have this across-the-board improvement.”
Thinking Through Big Ideas
OpenAI o1 stands out because it breaks down big problems into small steps, attempting to identify when it gets a step right or wrong. This “multi-step reasoning” isn’t new but hasn’t been practical until recently. Kian Katanforoosh, Workera CEO and Stanford adjunct lecturer, explains, “If you can train a reinforcement learning algorithm paired with some of the language model techniques that OpenAI has, you can technically create step-by-step thinking and allow the AI model to walk backwards from big ideas you’re trying to work through.”
However, o1 is pricey. It charges for “reasoning tokens,” which are the small steps the model breaks big problems into. This makes it crucial to use o1 wisely to avoid high costs.
OpenAI o1 in Action
To test o1, I asked ChatGPT o1 preview to help plan Thanksgiving dinner for 11 people. After 12 seconds of “thinking,” it provided a detailed response, breaking down its thinking at each step. It suggested prioritizing oven space and even proposed renting a portable oven. While it performed better than GPT-4o, it also suggested overwhelming solutions for simpler tasks.
For instance, when asked where to find cedar trees in America, o1 delivered an 800+ word response, outlining every variation of cedar tree. GPT-4o provided a concise, three-sentence answer.
Tempering Expectations
The hype around o1 started in November 2023, leading some to speculate that it was a form of AGI. However, OpenAI CEO Sam Altman clarified that o1 is not AGI and is still flawed and limited. The AI community is coming to terms with a less exciting launch than expected.
Rohan Pandey, a research engineer with AI startup ReWorkd, notes, “The hype sort of grew out of OpenAI’s control.” Mike Conover, Brightwave CEO, adds, “Everybody is waiting for a step function change for capabilities, and it is unclear that this represents that.”
The Value of OpenAI o1
The principles behind o1 date back years. Google used similar techniques in 2016 to create AlphaGo. Andy Harrison, former Googler and CEO of the venture firm S32, points out that this brings up an age-old debate in the AI world. One camp believes in automating workflows through an agentic process, while the other thinks generalized intelligence and reasoning would eliminate the need for workflows.
Katanforoosh sees o1 as a tool to question your thinking on big decisions. For example, it can help assess a data scientist’s skills in a 30-minute interview. However, the question remains whether this helpful tool is worth the hefty price tag.
The Future of AI in Asia
The release of o1 raises questions about the future of AI, particularly in Asia. As AI models become more capable, they also become more expensive. The trade-off between cost and capability will shape how AI is adopted and used in the region.
Comment and Share:
What are your thoughts on OpenAI’s o1 model? Have you tried it yet? Share your experiences and thoughts on the future of AI and AGI in the comments below. Don’t forget to subscribe for updates on AI and AGI developments.
You may also like:
- The View From Koo: Prepare for the AI Age with Your Family
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- To learn more about OpenAi’s o1 tap here.
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Google’s AI Overviews Go Global
Explore how Google’s AI Overviews are transforming search with AI technology.
Published
1 week agoon
November 6, 2024By
AIinAsia
TL;DR:
- Google’s AI Overviews now reach over 1 billion users monthly in more than 100 countries.
- The feature uses generative AI to enhance search results and connect users with relevant content.
- AI Overviews support multiple languages and drive increased traffic to publishers, businesses, and creators.
The Future of Search is Here
Imagine searching for something on Google and instantly finding exactly what you need. No more sifting through countless websites or trying different keywords. This is now a reality with Google’s AI Overviews, which are transforming the way we search and discover information online.
What are AI Overviews?
AI Overviews use generative AI, a type of artificial intelligence that learns patterns from data and creates something new. In this case, it helps users find information more easily and connects them with relevant websites across the globe.
Global Expansion
Starting this week, AI Overviews will be available in over 100 countries, reaching more than 1 billion users monthly. This expansion includes support for multiple languages such as English, Hindi, Indonesian, Japanese, Portuguese, and Spanish.
“People prefer using Search with AI Overviews, and they find their search results more helpful.” – Srinivasan (Cheenu) Venkatachary, VP of Search Quality, Google
Benefits for Publishers, Businesses, and Creators
AI Overviews are not just beneficial for users; they also create new opportunities for publishers, businesses, and creators. Here’s how:
- Increased Visibility: AI Overviews display relevant website links more prominently, both on desktop and mobile.
- In-line Links: Google recently introduced in-line links within the text of AI Overviews, driving increased traffic to supported websites.
- Ad Opportunities: Ads now appear in AI Overviews for relevant queries on mobile, helping businesses connect with users more effectively.
How AI Overviews Work
AI Overviews use advanced AI algorithms to understand the context of your search query better. Here’s a simple breakdown:
- Understanding Intent: The AI tries to understand what you’re looking for.
- Generating Overview: It creates a summary or overview based on relevant information from various sources.
- Displaying Results: It shows you the overview along with links to relevant websites.
The Power of Generative AI
Generative AI is a game-changer in the tech world. It can create new content, like images, music, or text, after learning patterns from data. In the case of AI Overviews, it helps generate useful summaries that make searching more efficient.
The Road Ahead
With AI Overviews, Google is set to revolutionise the search experience globally. As AI continues to evolve, we can expect even more innovative features that enhance our digital lives.
Prompt: Explore AI Overviews
To see AI Overviews in action, try searching for something on Google. Look for the summarised information at the top of your search results. This is an example of AI Overviews at work.
Comment and Share:
What’s your experience with AI Overviews so far? How do you think AI will change the future of search? Share your thoughts and don’t forget to subscribe for updates on AI and AGI developments.
- You may also like:
- Google’s AI Overviews: A New Era of Information Theft?
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- To learn more about AI Overviews, tap here.
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Can You Spot AI-Generated Content? Recognising Patterns and Making Your Content Sound More Human
Uncover the secrets of spotting AI-generated content. Learn strategies to keep your content fresh and engaging.
Published
1 week agoon
November 6, 2024By
AIinAsia
TL;DR
- Spotting AI-generated content can be particularly straightforward when you know the common patterns to look for.
- AI-generated content often relies on repetitive, formulaic phrases, making it easy to identify.
- Buzzwords and filler language reduce engagement and can make content feel impersonal.
- Using too many transitional and generic statements dilutes authenticity and trust.
Customising content with specific examples and avoiding overused phrases creates stronger connections.
Can You sSpot AI-generated Content?
Artificial intelligence is reshaping content creation, offering speed and scale but occasionally at the cost of authenticity. Recognising common AI language patterns is becoming essential, as formulaic phrases can make text sound generic. In this article, we’ll explore how to spot these patterns and share strategies to keep content fresh and engaging, giving it a truly human touch.
Why Recognising AI-Sounding Language Matters
For professionals in writing, marketing, and strategy, understanding these language patterns can transform how they engage audiences. The issue isn’t with AI itself but with how certain language choices create a “default” AI tone. This often gives readers a sense of being spoken at rather than being spoken to, which can erode connection and reduce engagement.
Identifying AI language Through Recognisable Patterns
AI writing tools often streamline content creation with structured language, yet this leads to certain words, phrases, and sentences that feel familiar—and not always in a good way. Here’s a breakdown of some of the most recognisable phrases and suggestions for making content more genuine.
1. Overused Buzzwords and Phrases
AI-generated content is often littered with impressive-sounding industry buzzwords that lack substance and sound repetitive. These include:
- “Revolutionise,” “Transform,” or “Next-generation”
- “Cutting-edge” or “State-of-the-art”
- “Leverage” and “Optimise”
- “Game-changing”
Such words aim to be impactful but often feel empty. Replacing them with specific, concrete language improves readability and credibility, avoiding the impression of a polished but hollow message.
2. Vague or Redundant Expressions
Some AI phrases aim to create flow but can feel redundant and overly polished, including:
- “Ultimately,” “All in all”
- “It’s important to note”
- “It is worth mentioning”
These expressions often pad out content without adding value, making readers feel as though they’re getting “filler” instead of real insight. Keeping sentences lean and purposeful can significantly improve the reader experience.
3. Overly Polished Transitional Phrases
AI tools often rely on polished transitional phrases, which link ideas but can feel formulaic. Phrases like:
- “Consequently,” “Furthermore,” and “Additionally”
are useful in moderation but can quickly make content sound mechanical. Instead, try using informal links or even questions to guide readers naturally through ideas, enhancing engagement and making content flow more naturally.
4. Generic Sentence Starters
AI-generated content often begins sentences with broad statements that feel detached. Examples include:
- “Many people believe…”
- “There are many ways…”
- “It is widely known that…”
These vague openers risk losing the reader’s attention. Human writers typically offer specific insights or intriguing details from the start, which readers find more engaging.
5. Impersonal General Statements
AI often uses broad phrases to create context but can come off as detached and impersonal. These include:
- “Some would argue…”
- “From a broader perspective…”
- “It has been observed that…”
Personalising content with unique insights or actionable information creates a stronger sense of connection with the audience, keeping readers interested and engaged.
6. Repetitive Explanations
AI tends to repeat phrases to simplify content, but it often feels redundant. Examples include:
- “To put it simply…”
- “This can be broken down into…”
- “What this means is…”
These phrases become repetitive quickly, losing their intended clarifying effect. Instead, using precise language and avoiding unnecessary repetition ensures content stays engaging and valuable.
7. Common AI Phrasing in Descriptions or Analyses
When explaining ideas, AI often sticks to predictable phrases that sound clinical. These include:
- “This has led to an increase in…”
- “The primary benefit of this approach is…”
- “There are several factors to consider”
Human writers can create more engaging analysis by using fresh phrasing or offering new perspectives on familiar topics.
8. Filler Language and Informational Add-Ons
AI-generated text often includes filler language that, while aiming to create interest, tends to dilute the message:
- “An interesting fact is…”
- “Did you know that…”
- “One thing to consider is…”
Readers value conciseness and relevance, so cutting filler phrases helps keep the focus on meaningful content that adds real value.
What Happens When You Use Words and Phrases Like This Already?
Using these patterns can have a noticeable impact on content effectiveness, sometimes negatively influencing reader perception, trust, and engagement.
1. Reduced Reader Engagement
Buzzwords and vague phrases may catch initial interest but can lead to disengagement. If content seems to lack depth, readers may stop reading before reaching the main message.
2. Loss of Trust and Authenticity
Readers value authenticity, and over-relying on generic phrases can make content feel detached or even inauthentic. This perceived lack of connection can lower reader trust and lessen the impact of your message.
3. Diluted Brand Voice
Every brand has a unique voice, and AI-sounding language can drown it out, creating a message that feels like everyone else’s. Readers connect more deeply with distinctive, authentic voices that are not simply repeating industry-standard language.
4. Reduced SEO and Long-Term Impact
As search engines evolve, they prioritise content demonstrating “expertise, authoritativeness, and trustworthiness.” Formulaic language risks sounding less credible, which can reduce ranking effectiveness over time. Search engines reward high-quality, engaging content, and AI-sounding text can struggle to meet these standards.
Crafting Authentic, Human-Centred Content
Identifying and avoiding these common phrases lets brands and professionals focus on what matters—connecting with their audience through authenticity, relevance, and value. Here’s how to avoid the pitfalls of AI-sounding content:
Prioritise Specificity
Replacing generalities with examples or data points boosts credibility. Instead of “Data-driven insights drive growth,” say, “Brands using consumer-focused insights have seen a 30% boost in engagement.”
Vary Sentence Structure
AI often produces repetitive structures, making content feel monotonous. Varying sentence length and style keeps readers interested, creating a rhythm that feels human.
Limit Transitional Phrases
Instead of stock transitions, experiment with questions or informal links to create natural flow, allowing ideas to connect without sounding forced.
Add Personal or Unique Insights
Adding original insights can elevate writing, making it relatable and distinct. Readers value authenticity, so expressing a unique perspective or anecdote adds value and fosters connection.
The Role of SEO in Human-Centred Writing
While AI-generated content may rely on keywords for SEO, a balanced approach keeps content engaging without compromising readability:
- Relevance: Focus keywords on the reader’s search intent and integrate them naturally into the content flow.
- Keyword Variation: Human writers can use keyword variations to avoid repetition, maintaining relevance while keeping the text fresh.
- SEO in Headings: Using keywords naturally in descriptive headings improves readability and search ranking.
Final Thoughts
As AI technology advances, understanding language patterns helps professionals humanise content, avoid formulaic language, and keep audiences engaged. Recognising these patterns can guide content creators in connecting with readers in a memorable, relatable way.
Join the Conversation
Can you spot when a piece of content was generated by AI? What phrases make you immediately suspicious? Share your thoughts and join the discussion on how we can make content more human! And don’t forget to subscribe for updates on AI and AGI developments!
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Try it for yourself! Tap here to use the free version of ChatGPT.
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Revolutionising Search: ChatGPT’s New Web Capabilities
ChatGPT’s web search revolutionises information access with real-time answers and sources, benefiting users and publishers alike.
Published
1 week agoon
November 5, 2024By
AIinAsia
TL;DR:
- ChatGPT now offers web search for real-time answers and sources.
- Collaborations with news providers ensure current information.
- Available now for ChatGPT Plus and Team users, with a wider rollout planned.
- Over 100 million users benefit from this upgrade.
- Enhances user experience with a conversational interface and direct sources.
Imagine having the latest news, sports scores, or stock quotes right at your fingertips, all through a friendly chatbot. That’s the power of ChatGPT’s new web search capabilities. This groundbreaking feature combines the ease of natural language interaction with the strength of real-time web information. Let’s explore what this means for you.
Effortless Web Search with ChatGPT
ChatGPT can now search the web based on your queries, providing timely answers with relevant sources. This means you can ask questions in a natural, conversational way, and ChatGPT will respond with information from the web. No more digging through multiple links to find what you need.
How It Works
- Automatic or Manual Search: ChatGPT decides to search the web based on your question, or you can manually trigger a search.
- Follow-Up Questions: Ask follow-up questions, and ChatGPT will consider the full context of your chat to provide better answers.
- Direct Sources: Chats now include links to sources, so you can learn more directly from news articles and blog posts.
Partnering for Quality Information
To ensure you get the most accurate and up-to-date information, ChatGPT has partnered with leading news and data providers. This includes categories like weather, stocks, sports, news, and maps.
“ChatGPT search promises to better highlight and attribute information from trustworthy news sources, benefiting audiences while expanding the reach of publishers like ourselves who produce premium journalism.”
- Pam Wasserstein, President, Vox Media
Benefits for Users and Publishers
For Users
- Better Answers: Get useful answers with less effort.
- Conversational Interface: Ask questions naturally and get context-aware responses.
- Direct Sources: Click through to original sources for more in-depth information.
For Publishers
- Broader Audience: Reach more users through ChatGPT’s search interface.
- Innovative Partnerships: Collaborate with OpenAI to test new innovations while safeguarding journalism’s integrity.
“We are convinced that AI search will be, in a near future and for the next generations, a primary way to access information, and partnering with OpenAI positions Le Monde at the forefront of this shift. It allows us to test innovations at an early stage while safeguarding journalism’s core values and integrity.”
- Louis Dreyfus, CEO & Publisher of Le Monde
The Technology Behind It
The search model is a fine-tuned version of GPT-4o, post-trained using novel synthetic data generation techniques, including distilling outputs from OpenAI o1-preview. ChatGPT search leverages third-party search providers, as well as content provided directly by partners, to deliver the information users need.
Availability and Future Plans
Search will be available at chatgpt.com, as well as on desktop and mobile apps. All ChatGPT Plus and Team users, along with SearchGPT waitlist users, have access today. Enterprise and Edu users will get access in the next few weeks. The rollout to all Free users will happen over the coming months.
What’s Next?
- Improved Search: Plans include enhancing search in areas like shopping and travel, leveraging the reasoning capabilities of the OpenAI o1 series for deeper research.
- Expanded Access: The new search experience will be brought to Advanced Voice and canvas, as well as to Free and logged-out users in the future.
How to Use ChatGPT Search
Prompt: Asking for Real-Time Information
To get the most out of ChatGPT’s new search capabilities, you can ask questions that require real-time information. For example:
Prompt: “What are the latest football scores?”
Rationale: This prompt leverages ChatGPT’s ability to fetch real-time data, providing you with the most current information available.
Impact on the AI Landscape in Asia
The introduction of ChatGPT’s web search capabilities has significant implications for the AI landscape in Asia. With over 100 million users benefiting from this upgrade, the region is poised to see a surge in AI adoption and innovation.
Case Studies and Examples
- Education: Students can now access real-time information for their projects and assignments, enhancing their learning experience.
- Business: Professionals can stay updated with the latest market trends and news, making informed decisions quickly.
- Media: Publishers can reach a broader audience, ensuring their content is accessible to more users.
By integrating ChatGPT’s web search capabilities, users can now access real-time information effortlessly, while publishers gain new opportunities to reach a broader audience. This groundbreaking feature is set to transform how we interact with AI, making information more accessible and engaging.
Comment and Share:
What do you think about ChatGPT’s new web search capabilities? How will this feature change the way you access information? Share your thoughts and experiences in the comments below. Don’t forget to subscribe for updates on AI and AGI developments. We’d love to hear your stories and insights on how AI is shaping your world!
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- To learn more about ChatGPT web search tap here.
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