OpenAI just dropped their latest AI model, o1 (codenamed Strawberry), and it’s causing quite a stir in the tech world! Let’s dive into what this new model brings to the table and why it’s got everyone talking.
First off, we’ve got two versions: o1-preview and o1-mini. These are Chain of Thought (CoT) tuned, distilled versions of GPT-4o that are performing incredibly well. And when I say incredibly, I mean it!
Here’s what’s got me pumped about o1:
1. Mind-blowing reasoning skills, especially in science, coding, and math.
2. Performance that’s on par with PhD students in certain benchmarks. Yes, you read that right!
3. Beefed-up safety features that are a huge step forward.
Let’s break this down further:
1. Reasoning capabilities: The combo of CoT and reinforcement learning is yielding some seriously impressive results. This model can actually count letters in its responses correctly and absolutely crushes logic and reasoning tasks.
2. Performance: Hold onto your hats – OpenAI is reporting an 83% accuracy on International Math Olympiad problems. That’s not just good, that’s mind-blowingly awesome!
3. Versions: o1-preview is the heavy hitter for complex tasks, while o1-mini is the coding wizard. This tiered approach lets users pick the right tool for the job.
4. Pricing: Here’s where it gets interesting. o1-preview is priced at $15 per 1 million input tokens and $60 per 1 million output tokens via their API. Yes, that’s a big jump from GPT-4o pricing, but hey, you’re getting some serious bang for your buck. And here’s some exciting news – o1-mini is priced at just $3 per million input tokens and $12 per million output tokens. That’s a game-changer for developers looking to harness this power without breaking the bank!
Now, it’s not all sunshine and rainbows. There are some limitations:
1. No web browsing or file/image analysis capabilities… yet.
2. Some instances of fact hallucination still pop up, though less often than with GPT-4o.
3. OpenAI’s planning to add features like browsing and file uploads in future updates.
Oh, and can we talk about OpenAI’s naming scheme for a second? It’s terrible! When you say “o1” out loud, people might think you’re saying “01”. And don’t even get me started on “GPT-4o”. It’s a recipe for confusion, especially for those not deep in the AI world.
My take? While it might not be a complete revolution, o1 is a massive leap forward in AI capabilities. The improved performance in coding tasks and logical reasoning is nothing short of spectacular.
It’s crucial to keep in mind that this is just the beginning. As we’ve seen with previous models, capabilities and limitations can evolve rapidly over time.
In conclusion, o1 is showing incredible promise and represents a significant advancement in AI technology. Its real-world applications and long-term impact are yet to be fully realized, but based on these initial results, we’re in for some exciting times ahead!
Stay tuned to adam.holter.com for more in-depth analysis of o1’s capabilities and performance in practical applications. I’ll be putting this model through its paces and sharing my findings. Let’s see just how far this strawberry can take us!
