Diego Cabezas’ Post

I look forward to taking o1 for a spin via API and ChatGPT Plus. Models being better at reasoning is one of the barriers to break and the next step change in utility and value creation 👀 “This new series of AI models can reason through complex tasks and solve harder problems than previous models in science, coding, and math. “

This dropped a bit faster than I expected, but it's weird that they still haven't released some of the other things they promised like Video and improved audio. Surprising - Available(ish) now through chatgpt.com - You can only get access to the API if you're a tier 5 user (that's $1000 min prompting and after the first bill has been paid (30 days) - The chatbot has a 30 chats PER WEEK limit...Not a lot of testing available. Here's some key links: Prompt Examples: https://lnkd.in/eh5Axmex

New AI Model - O1 from OpenAI. Shows improvements in reasoning by letting the model 'think' for longer. Seems cool for sure, but this isn't GPT-5 or a generational breakthrough for most users. If you have a specific, difficult problem that AI hasn't been able to solve for you yet, it's worth trying out on O1. Lots of different usecases that were previously just out of reach are probably in striking distance. In fact, it seems to me that one of the biggest uses of O1 will be in performance on high-context understanding of complex business problems. But you're so far from being ready to actually leverage that! We still need lots more exercise and exposure with thinking about these tools before we're going to be able to - as a practical and behaviour and people matter - roll these tools out at scale. So it's a neat development! Try it out! Experiment! Play! Have fun! Doesn't really matter what model you're using as long as you're pushing to get your experience in.

Let's see what's the impact on ChatJDE. More reasoning, better in math. We may go for better calculations - for example a forecast or production planning? What would be a great benefit for #jdedwards' calculations? Want to see this live working with #enterpriseOne? Let's talk at #INFOCUS24! #innova9 #chatJDE #openai #betteronmath

Greate news for HSE forward thinkers! OpenAI’s new o1 model brings advanced reasoning capabilities, allowing it to simulate human-like thinking when solving complex challenges, especially in fields like industrial hygiene, environmental analysis, and pollution control. Reasoning refers to the model’s ability to connect various factors, weigh options, and make informed decisions. By enabling AI to "think" through these issues, OpenAI o1 enhances precision and safety in addressing critical environmental and industrial concerns, helping professionals create sustainable solutions with more efficiency.

More interesting updates from OpenAI to play with.

🚀 Exciting news! A preview of OpenAI o1 is now available—a new series of AI models that spend more time reasoning before responding. This added depth makes o1 particularly powerful for solving complex problems in areas like coding, math, and science. o1 models have shown significant improvements in reasoning-heavy tasks, outperforming previous models like GPT-4o on a wide range of human exams and ML benchmarks, with accuracy increasing from 11% to an impressive 89%.

The biggest technical challenge for GenAI companies is building models to meet their lofty promises and big dreams. GPT-o1, nee "Strawberry" is an example of where I think we're headed next: More complex models built to simulate advanced "reasoning" through multi-step processes and more compute. Read between the lines and this starts to sound a lot like OpenAI serving a multi-step fine-tuned CoT system, heavily filtered and indexed through RLHF, as a model. That helps explain - limited access (enterprise, edu, and tier 5 only for the API, 30 prompts per week for ChatGPT Plus and Teams users), - 128k context window, some of which is consumed by new "reasoning tokens", - significantly slower responses ("anywhere from a few seconds to several minutes" according to documentation) - limited abilities (text only - no multimodal, no tools and function calling, no streaming) - specialized use cases - OpenAI recommends using 4o1 and 4o1-mini for tasks that require "more advanced reasoning" - specifically coding, math, and science problems, - anticipated higher cost due to compute demand This model just dropped, and it's not in my hands yet so I can't say anything meaningful about the actual performance. Once I have access I'll do comprehensive testing and give you my take on what this model is for and how to build solutions with it. More to come! #openai #strawberry #gpt #gpt4 #gpt4o #gpt4o1 #4o1

Today's new release from OpenAI is BIG—possibly an even greater leap forward than going from GPT 3 to 4. o1 is a model capable of recursive thinking, meaning it can apply problem-solving processes at multiple levels until a solution is found. This makes it far more effective for complex tasks like math, software programming, and gene sequencing. (See comments for some mind-blowing details) But there are other areas where a model like this may add real world value like: 💡 Strategic Planning / Game Theory - e.g. what if I do A and my competitor does B? 📦 Inventory modeling - What if we buy this in bulk and pass on a X percent discount to consumers. What about a y percent discount? 🏭 Manufacturing / Process Design - How might I rearrange the steps in the process to optimize for X? 💰 Pricing - How would changing a product's price impact consumer behavior across other products? This model has only been in the public hands for a few hours and I can’t wait to see what it unlocks for organizations trying to do more with less. #o1

OpenAi o1 is yet another big and important step in the Gen Ai rapid development OpenAi trained the models to spend more time thinking through problems before responding, similar to what we would do. Through training, they then learn to refine their thinking process, to try different strategies, and recognize mistakes. On top of this, OpenAI says the o1 series of AI models can reason about our safety rules in context, which means it can apply them more effectively. in the first wave, the lucky one to test this are ; Plus and Team users, and in the API for developers on tier 5. The rest will have to wait … high expectations and possibilities from this is say :) Take the time to also read about the system card here : https://lnkd.in/d5UM5SrG