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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.

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OpenAI o1 model

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.

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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.

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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.

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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.

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Revolutionizing the Creative Scene: Adobe’s AI Video Tools Challenge Tech Giants

Tesla’s Optimus robot showcases the future of humanoid robots, capable of serving, dancing, and taking selfies. Explore its capabilities and the impact of AI in Asia.

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AI video tools Asia

TL;DR:

  • Adobe introduces Firefly Video Model, an AI tool generating videos from text prompts.
  • Competes with OpenAI’s Sora, ByteDance, and Meta Platforms’ video tools.
  • Adobe focuses on legally usable content and practical tools for video creators.
  • Gatorade and Mattel already use Adobe’s AI image generation tools.

In the dynamic world of artificial intelligence (AI), Adobe has stepped up to challenge tech giants with its innovative AI video tools. This move is set to transform the film and television industry, making waves in Asia’s creative scene. Let’s dive into the exciting developments and what they mean for young, tech-savvy enthusiasts.

Adobe’s Firefly Video Model: A Game Changer

Adobe recently announced the public distribution of its AI model, the Firefly Video Model. This cutting-edge technology generates videos from simple text prompts. Imagine typing a description of a scene, and the AI brings it to life! This innovation puts Adobe in direct competition with industry leaders like OpenAI’s Sora, ByteDance (TikTok’s owner), and Meta Platforms, all of which have recently unveiled their video tools.

Legal and Practical Advantages

Adobe stands out by focusing on two critical aspects: legal usability and practicality. The company trains its models on data it has the rights to use. This ensures that the generated content can be legally used in commercial projects, a significant advantage for creators.

Moreover, Adobe aims to make its tools practical for everyday use. Ely Greenfield, Adobe’s chief technology officer for digital media, emphasised this commitment. He stated, “We really focus on fine-grain control, teaching the model the concepts that video editors and videographers use – things like camera position, camera angle, camera motion.” This makes the AI-generated footage blend seamlessly with conventional footage, enhancing the final product’s quality.

Industry Applications and Success Stories

While Adobe hasn’t announced customers for its video tools yet, prominent brands are already using its AI image generation models. Gatorade, owned by PepsiCo, employs Adobe’s technology for a site where customers can order custom-made bottles. Additionally, Mattel uses Adobe tools to design packaging for its iconic Barbie line. These success stories highlight the real-world applications and potential of Adobe’s AI innovations.

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The Future of AI in Asia’s Creative Industry

The introduction of Adobe’s Firefly Video Model signals an exciting future for Asia’s creative industry. Here’s what we can expect:

  • Enhanced Storytelling: AI video tools will enable creators to bring their stories to life more vividly and efficiently.
  • Increased Efficiency: By automating certain aspects of video production, AI can speed up the creative process.
  • New Job Opportunities: As AI becomes more integrated into the industry, new roles will emerge, requiring skills in both creativity and technology.

Adobe’s AI video tools mark a significant milestone in the creative industry. As these technologies continue to evolve, the possibilities for innovation and expression are endless. Will Sora, ByteDance, and Meta take a hit?

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ChatGPT Canvas: The Future of AI Collaboration is Here!

ChatGPT Canvas revolutionises AI collaboration with real-time editing and inline feedback, making it easier to create and refine projects with AI.

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ChatGPT Canvas

TL;DR:

  • OpenAI launches ChatGPT Canvas, a new AI-first text and code editor.
  • Canvas allows users to collaborate with AI on projects in real-time.
  • Initially available to Plus and Team subscribers, with Enterprise and Education users getting access soon.

The Dawn of a New AI Era

Artificial Intelligence (AI) is transforming the way we work, and OpenAI’s latest innovation, ChatGPT Canvas, is set to revolutionise collaboration. This new AI-first text and code editor allows users to work side by side with AI on projects, making it easier to create and refine ideas.

What is ChatGPT Canvas?

ChatGPT Canvas is more than just a new user interface; it’s a game-changer in AI collaboration. OpenAI describes it as a “new way of working together” with ChatGPT. It’s designed to help users make small revisions or change specific elements without losing the flow of their work.

Key Features of ChatGPT Canvas

  • AI-First Interface: Canvas is an AI-first text and code editor that lets you adapt any single element or the whole project with the help of AI.
  • Real-Time Collaboration: It allows you and ChatGPT to collaborate on a project in real-time, making it easier to create and refine ideas.
  • Targeted Edits: The model knows when to open a canvas, make targeted edits, and fully rewrite. It also understands broader context to provide precise feedback and suggestions.
  • Inline Feedback: Like a copy editor or code reviewer, it can give inline feedback and suggestions with the entire project in mind.
  • Writing Controls: There will be a series of writing controls in a pop-out menu on the side, including options to adjust the length of the text and adapt the reading level.

How Does ChatGPT Canvas Work?

Canvas will be available through a new option in the model dropdown menu, labeled “ChatGPT 4o with Canvas”. When selected, it opens in a separate window, allowing you and ChatGPT to collaborate on a project. During a demo, I saw it take live data from an AI web search and adapt pieces of text from across a long article to reflect the new data — all from a single prompt.

The Future of AI Collaboration

ChatGPT Canvas represents a paradigm shift in how we collaborate with artificial intelligence. It’s a way to work on a project with AI as a partner rather than having it do all the work and then editing it later. This new way of working together is set to make AI collaboration more efficient and effective.

“A key challenge was defining when to trigger a canvas. We taught the model to open a canvas for prompts like ‘Write a blog post about the history of coffee beans’ while avoiding over-triggering for general Q&A tasks like ‘Help me cook a new recipe for dinner.’,” – OpenAI

Who Can Access ChatGPT Canvas?

ChatGPT Canvas is initially available to Plus and Team subscribers from today, with Enterprise and Education users getting access next week. This early beta version presents a “new way of working together” with ChatGPT by creating and refining ideas side by side.

What’s Next for ChatGPT Canvas?

OpenAI says this is just an initial beta release and that there are plans for rapid upgrades over the coming months. While they didn’t go into detail, I suspect this will include the addition of DALL-E images, more editing features, and potentially the ability to load multiple Canvas elements in a single chat thread.

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The Impact of ChatGPT Canvas on the Tech Industry

ChatGPT Canvas is a mixture of several popular AI products, including Anthropic’s Claude Artifacts, Cursor AI, and existing platforms like Google Docs — but with an OpenAI spin. It’s a significant improvement when it comes to making small revisions or changing specific elements, tasks that can get confusing or lose the flow when using the chat interface.

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Meta’s Movie Gen: Revolutionising Video Creation with AI

The Accenture-Nvidia partnership signals a new era of AI-centric strategies in Asia, with generative AI and open-source models playing crucial roles.

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AI video generation

TL;DR:

  • Meta introduces Movie Gen, an AI model that generates realistic videos with sound.
  • Movie Gen can edit existing videos and create new ones based on user prompts.
  • This technology rivals tools from leading startups like OpenAI and ElevenLabs.

In the rapidly evolving world of artificial intelligence, Meta, the company behind Facebook, has made a groundbreaking announcement. They have developed a new AI model called Movie Gen, which can create realistic videos complete with sound. This innovative tool is set to challenge leading media generation startups like OpenAI and ElevenLabs. Let’s dive into what makes Movie Gen so exciting and how it could change the landscape of video creation.

What is Movie Gen?

Movie Gen is an AI model that can generate realistic-seeming video and audio clips based on user prompts. This means you can describe a scene, and Movie Gen will create a video that matches your description. Whether it’s animals swimming or people performing actions like painting, Movie Gen can bring your ideas to life.

How Does Movie Gen Work?

Movie Gen uses advanced AI algorithms to understand and generate video content. It can create background music and sound effects that are perfectly synced with the video content. This makes the generated videos not only visually impressive but also aurally engaging.

Key Features of Movie Gen

  • Realistic Video Generation: Movie Gen can create videos that look and sound realistic. From animals swimming to people painting, the possibilities are endless.
  • Audio Synchronisation: The model generates background music and sound effects that match the video content, creating a seamless experience.
  • Video Editing: Movie Gen can also edit existing videos. For example, it can insert objects into a video or change the environment, such as transforming a dry parking lot into one covered by a splashing puddle.

Examples of Movie Gen’s Creations

Meta has provided several samples to showcase Movie Gen’s capabilities. In one example, the AI model inserted pom-poms into the hands of a man running in the desert. In another, it transformed a dry parking lot into one covered by a splashing puddle, adding an extra layer of realism to the skateboarding video.

The Impact of Movie Gen

Movie Gen has the potential to revolutionise various industries, from entertainment to education. Here are a few ways it could make a significant impact:

  • Film and Television: Movie Gen could be used to create realistic special effects and animations, reducing the time and cost of production.
  • Advertising: Brands could use Movie Gen to create engaging and personalised video content for their marketing campaigns.
  • Education: Teachers could use Movie Gen to create interactive and immersive learning experiences for students.

Challenging the Competition

Meta’s Movie Gen is set to challenge tools from leading media generation startups like OpenAI and ElevenLabs. OpenAI is known for its advanced language models, while ElevenLabs focuses on generating realistic voices. Movie Gen combines both video and audio generation, making it a powerful competitor in the AI space.

The Future of Video Creation

With the introduction of Movie Gen, the future of video creation looks brighter than ever. This technology could democratise video production, making it accessible to anyone with a creative idea. As AI continues to advance, we can expect even more innovative tools that push the boundaries of what’s possible.

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Create a Video with Movie Gen

Imagine you want to create a video of a cat playing the piano. You can use Movie Gen to generate this video by simply describing the scene. The AI model will create a realistic video of a cat playing the piano, complete with background music and sound effects.

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