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With the preview announcement by OpenAI of their o3 model class, we can reflect on 2024 as a year of extraordinary progress in AI. We can also look ahead and ponder what we might see in the future – with 2025 already positioned as the year of agentic intelligence and human augmentation. No longer a whisper, the notion that o3 puts us on the cusp of artificial general intelligence (AGI) is now audible among informed observers. Indeed, Gregory Kamradt, President of the ARC Prize Foundation, was fielded by OpenAI to discuss the benchmark results obtained using their o3 model: https://lnkd.in/eeUwnhNv. Aside from comparison with previous state-of-the-art benchmarks, the simplicity of the prompts required to elicit an accurate response to a complex task is also noteworthy: https://lnkd.in/e9yZTPub. Human task comprehension and direction is no longer a prerequisite for accurate, reflective, machine comprehension and learning. From OpenAI’s presented discussion of the o3 performance data, however, the issue of the impending saturation of current ARC-AGI measures by increasingly advanced model frameworks poses a new challenge. At the limit of AGI evaluation we will eventually encounter the limits of human intellectual capacity – we will find ourselves unable to derive tests and metrics necessary to understand the capabilities of what we create. Eventually, through integrated self-evaluation and adaptation – a hallmark of agentic AI, a post-AGI “superintelligence” will emerge from a machine system. Such an intelligence would be able to identify and address questions beyond those considered, or potentially open to consideration, by human experts and be able to exploit the unique class of computational problems addressable by tomorrow’s quantum computers. Hence, as we digest the incremental performance demonstrated by o3, I am most excited by the potential for future models to explore unimagined problem spaces – to innovate in both the methods and the outcomes of their reasoning. If progress towards AGI yields the necessary contextual, ontological, and epistemological awareness in machine reasoning, we can look forward to a mode of collaborative engagement between humans and machines producing a synthetic intelligence that opens new horizons for technological and social development. The question both the human and the computer will need to answer is how either will know when the other’s reasoning represents a new technique, idea, or intuition to those within the corpus of prior knowledge and model learning data. In 2024 we witnessed the award of The Nobel Prize in Physics and The Nobel Prize in Chemistry to scientists whose work has advanced the field of AI: https://lnkd.in/emB7qw9P. What price that the recipient of a future award for technical progress is, one day, an intelligent machine?

O3 Unleashed: The AI Breakthrough Redefining What’s Possible Brace yourself for the dawn of a new era in AI. In a matter of weeks, OpenAI’s O3 model has soared above its predecessors, shattering records once thought to be out of reach. By turbocharging techniques like chain-of-thought reasoning and scaling up reinforcement learning, O3 dominates benchmarks once deemed “too hard” for machines. Here’s how it’s different from what came before: • Stronger Reasoning: O3 can generate multiple candidate solutions, then a specialized “verifier” model filters out errors, boosting the model’s accuracy on tough mathematical and coding challenges. • Benchmark Breaker: From advanced math tests to competitive coding, O3 meets or exceeds top human performance, raising the bar far beyond earlier versions like GPT-4 or O1. • Faster Innovation: Instead of repeatedly retraining gigantic base models, OpenAI refines O3 via reinforcement learning in short cycles—slashing development time and fueling near-exponential performance gains. Beyond these core achievements, O3’s success confirms a powerful truth: scaling—both in data and inference—still reigns supreme. It’s a shot across the bow for anyone who believed AI had reached a wall. With O3, we’ve only just begun to see what’s possible. My Takeaway 1. Scaling Law Still Works—Extremely Well The remarkable performance of O3 underscores the enduring power of scaling in AI. Give these models more compute, higher-quality data, and top-tier learning approaches, and they’ll break the limits we once considered impossible. 2. O3 Took Just Three Months After O1—Reinforcement Learning Scales Faster Than Pre-training A mere three months passed between O1 and O3. With reinforcement learning delivering iterative refinements, OpenAI can quickly unlock vast improvements—suggesting O4 or even O5 could arrive as soon as next year. 3. Everyone Will Invest More in Test-Time Compute O3’s phenomenal capabilities come at a cost: massive energy consumption. The combination of GPUs and electricity required for test-time compute is pushing infrastructure to its limits. Electricity is quickly becoming a bottleneck. This has created a gold rush in the AI space, where every major player is scrambling to secure GPUs and optimize power usage. Investors in companies like NVIDIA, TSMC, and energy-efficient computing solutions are reaping the rewards of this rapidly growing demand. Long-Term Impact: From Small Piloting to Mass Adoption O3 marks a turning point. AI is no longer a limited pilot program—it’s poised to become the operational backbone across industries. Company leaders, from CEOs to heads of R&D, will need to fast-track AI roadmaps or risk being left behind. It’s not simply about getting ahead of the curve; it’s about staying afloat in the next wave of mass AI transformation. https://lnkd.in/gYTRncae #AI #OpenAI #GPTO3 #O3 #FutureOfWork

OpenAI - The Next Frontier Model OpenAI's new AI model, o3, has achieved a significant milestone by surpassing the ARC-AGI benchmark. The benchmark is designed to evaluate the generalization and problem-solving abilities of AI systems. The ARC-AGI (Abstraction and Reasoning Corpus for Artificial General Intelligence) assesses an AI's capacity to generalize concepts and tackle unfamiliar tasks, a fundamental characteristic of general intelligence. **Key Achievements:** - The o3 model scored 87.5% on the ARC-AGI Semi-Private Evaluation Set, exceeding the human benchmark of 85%. - This marks a significant advancement in AI capabilities and sparks discussions about whether OpenAI is approaching Artificial General Intelligence (AGI). **What This Means:** Surpassing the ARC-AGI benchmark is notable because it shows that AI systems like o3 can excel in tasks requiring abstract reasoning. However, this achievement does not mean that true AGI has been attained. AGI refers to the ability to perform any intellectual task a human can do, displaying adaptability and understanding across a wide range of contexts rather than merely excelling in specific benchmarks. **OpenAI's Next Steps:** OpenAI plans to release o3-mini, a distilled version of the model optimized for coding tasks, by January 2025. This version will be faster and more cost-effective. The full o3 model will be publicly available after undergoing safety testing and obtaining regulatory approvals. **Explanation:** This achievement highlights the advancements in AI's reasoning and generalization capabilities, which are critical steps toward AGI. However, AGI remains a broader and more complex objective. While o3's performance on the ARC-AGI benchmark indicates progress, true AGI would involve systems capable of understanding, learning, and applying knowledge across all domains, mimicking the broad adaptability of human intelligence. credit full video https://lnkd.in/gXg7zPfX

AI path News Dec 20,2024. OpenAI’s o3 model is generating excitement with its anticipated advancements in AI reasoning and decision-making, building on the strong foundation of o1. Skipping “o2” to avoid trademark conflicts, OpenAI aims to deliver smarter and more thoughtful responses, setting the stage for a significant leap in AI capabilities. The ongoing competition with Google’s Gemini 2 highlights the rapid evolution of AI technology, pushing innovation in accessibility, reasoning, and multimodal tools. https://lnkd.in/duKwRtF7 #AI #openai #aimodel

🚀 OpenAI's o3 Model is here: Revolutionizing AI Reasoning and Decision-Making 🤖 OpenAI's latest o3 model is set to redefine AI capabilities, enhancing reasoning and problem-solving skills to unprecedented levels... https://lnkd.in/ed9SMzUS #AI #OpenAI #Google #Gemini #ChatGPT #Competition #Race

OpenAI’s O3: Features, O1 Comparison, and release dates OpenAI wrapped up its 12-day event by introducing o3, their latest AI model, alongside its cost-efficient sibling, o3 mini. The decision to skip o2 wasn’t random. While OpenAI referenced Telefonica’s O2 brand as part of the reasoning, we suspect it was also a strategic move to signal a more substantial leap forward. Sam Altman joked during the announcement that naming isn’t their strong suit, but the choice seems calculated. O3 focuses heavily on reasoning, with capabilities designed to handle complex tasks in coding, mathematics, and general intelligence. OpenAI is starting with public safety testing instead of a full launch, which we think reflects a cautious and transparent approach. If the early results hold, o3 could mark a notable step in the progression of AI models. What Is OpenAI O3? O3 is OpenAI’s latest frontier model, designed to advance reasoning capabilities across a range of complex tasks. Announced alongside its smaller counterpart, o3 mini, it focuses on addressing challenges in coding, mathematics, and general intelligence. Found o3 notable for its emphasis on harder benchmarks that test reasoning in ways previous models haven’t fully tackled. OpenAI has highlighted its improvements over o1, positioning it as a more capable system for handling complex problem-solving. Currently, O3 isn’t available for general use. OpenAI is starting with public safety testing, inviting researchers to explore its strengths and limitations. This collaborative approach reflects a growing recognition of the need for careful evaluation as AI models become increasingly capable. O3’s Breakthrough on ARC AGI One of the most striking achievements of o3 is its performance on the ARC AGI benchmark, a test widely regarded as a gold standard for evaluating general intelligence in AI. Developed in 2019 by François Chollet, ARC (Abstraction and Reasoning Corpus) focuses on assessing an AI’s ability to learn and generalize new skills from minimal examples. Unlike traditional benchmarks that often test for pre-trained knowledge or pattern recognition, ARC tasks are designed to challenge models to infer rules and transformations on the fly—tasks that humans can solve intuitively but AI has historically struggled with. What Is o3 Mini? o3 mini was introduced alongside o3 as a cost-efficient alternative designed to bring advanced reasoning capabilities to more users while maintaining performance. OpenAI described it as redefining the “cost-performance frontier” in reasoning models, making it accessible for tasks that demand high accuracy but need to balance resource constraints. One of the standout features of o3 mini is its adaptive thinking time, which allows users to adjust the model’s reasoning effort based on the complexity of the task. For simpler problems, users can select low-effort reasoning to maximize speed and efficiency. https://lnkd.in/g8kRrY3d

OpenAI saved its biggest announcement for last. On the last day of its “12 Days of OpenAI” event, the company unveiled o3, the successor to the o1 “reasoning” model it released earlier in the year. There’s o3 and o3-mini, a smaller, distilled model fine-tuned for particular tasks. Neither o3 nor o3-mini are widely available yet, but safety researchers can sign up for a preview starting later today. Read more from Maxwell Zeff and Kyle Wiggers: https://tcrn.ch/3P6SWk4 #TechCrunch #technews #openai #chatgpt #samaltman

Day 12 of the 12 Days of OpenAI: The Grand Finale What a journey it’s been over the past 12 days. Today, we wrap up with something truly groundbreaking: the announcement of O3 and O3-mini, OpenAI’s latest advancements in reasoning models. Here’s why this is a big deal: • O3 pushes the boundaries of AI reasoning, achieving state-of-the-art results across coding, math, and PhD-level science benchmarks. • O3-mini redefines cost-effective performance, offering scalable reasoning power with flexible "thinking time" options. • OpenAI is also prioritizing safety by introducing public safety testing and a new technique called deliberative alignment to enhance how AI detects and manages safe versus unsafe use cases. These innovations are a glimpse into the future of what AI can achieve in solving complex problems and adapting to human needs. From record-breaking ARC AGI benchmark scores to unprecedented efficiency in O3-mini, the possibilities are expanding fast. If you’re as fascinated as I am by how AI is evolving, now’s the time to explore these advancements. Researchers can even apply to test these models before their public release. As I reflect on the 12 Days of OpenAI, one thing is clear: we’re entering a new era of AI innovation, and I’m excited to be part of the conversation. #AI #Innovation #OpenAI #ThoughtLeadership #12DaysOfOpenAI

Inside OpenAI Sora: Five Key Technical Details We Learned About the Amazing Video Generation Model https://is.gd/s2VbeE #ArtificialIntelligence #MachineLearning #Latest

On the 12th day of Xmas OpenAI produced the Game Changer : OpenAI has concluded its 12-day "shipmas" event with a groundbreaking announcement: the release of o3, the successor to the o1 reasoning model. This new family includes o3-mini, a distilled version fine-tuned for specific tasks. Why no o2? Reportedly, trademark concerns with British telecom O2 led OpenAI to skip straight to o3. Strange, but intriguing! While o3 isn't widely available yet, safety researchers can sign up for previews starting today. CEO Sam Altman emphasized caution, stating he'd prefer a federal testing framework to manage the risks of these advanced reasoning models. 💡 What Makes o3 Unique? Unlike traditional AI, reasoning models like o3 "think" before responding. With a "private chain of thought," o3 fact-checks itself, delivering highly reliable outputs for complex tasks in domains like physics, mathematics, and science. New features include the ability to adjust reasoning time, offering flexibility between low, medium, and high "thinking" speeds to suit user needs. On benchmarks, o3 is making waves, scoring an impressive 87.5% on ARC-AGI — a step closer to AGI (artificial general intelligence), though OpenAI is staying measured in its claims. 💬 The Big Picture OpenAI’s o1 sparked a wave of reasoning model development across the industry, with players like Google and DeepSeek entering the field. While reasoning models hold immense promise, challenges like high costs and uncertain scalability remain. As AI continues to evolve, o3 raises important questions about innovation, ethics, and AGI's future. What are your thoughts on this leap forward? Are reasoning models the key to AGI, or is the industry chasing the wrong goal? Let’s discuss! https://lnkd.in/eagrwFU9 #AI #OpenAI #o3 #ArtificialIntelligence #TechInnovation