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'GPT-OSS: EEE concerns explored deeply.

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# GPT OSS - Is it EEE?
## The Big Announcement: OpenAI Drops GPT-OSS
So, OpenAI has gone and done it again. This week, they dropped a bombshell into the AI community with the release of **GPT-OSS**, a pair of open-source models that supposedly can do everything from outperforming their own proprietary models to running on a GPU that costs less than your first car. Let me break this down.
### The Two Models: 120B and 20B
OpenAI has released **two models**:
* **gpt-oss-120b**: A monster with 120 billion parameters. They claim it "achieves near-parity with OpenAI o4-mini on core reasoning benchmarks, while running efficiently on a single 80 GB GPU." Sounds impressive, right? Except that GPU is a beast. You're looking at something like an A100 or H100, which are the kind of hardware that would make your average developer cry into their coffee.
* **gpt-oss-20b**: The smaller sibling, with 20 billion parameters. OpenAI says it "delivers similar results to OpenAI o3-mini on common benchmarks and can run on edge devices with just 16 GB of memory." Oh, how cute. This one could run on a Raspberry Pi if it weren't for the fact that 16 GB of memory is still more than most of us have on our laptops.
And both models supposedly perform strongly on **tool use**, **few-shot function calling**, **CoT reasoning**, and even **HealthBench** (which is a benchmark for medical AI). They even say it outperforms **proprietary models like OpenAI o1 and GPT-4o**. That's a bold claim, but hey, if it's true, it's a game-changer.
## Ollama Goes All-In on GPT-OSS
Now, if you're not familiar with **Ollama**, let me give you a quick intro. It's a tool that lets you run large language models locally on your machine, and it's been a bit of a darling in the open-source AI community. Well, Ollama just released **version 0.11**, and it's basically a love letter to GPT-OSS. They've optimized the hell out of it to make sure GPT-OSS runs as smoothly as possible on your local machine. That's impressive, but it also raises a few questions. Why is Ollama so excited about this? What's in it for them? And more importantly, what's in it for us?
## The Big Question: Is This EEE?
Now, here's where I start to get a little uneasy. You see, **OpenAI is a Microsoft subsidiary**. They've been around for a while, and they've had their fair share of controversy. There was the whole **DeepSeek** thing, where investors got so worked up about it that it sent **Microsoft and NVIDIA stocks** into a temporary freefall. That's not something you want to mess with.
And then there's the **Embrace, Extend, Extinguish** strategy. If you're not familiar with it, it's a classic Microsoft tactic. Here's how it works:
1. **Embrace** a technology or standard that's popular.
2. **Extend** it with your own proprietary features.
3. **Extinguish** the original standard by making your extended version the de facto standard.
So, is this what OpenAI is doing with GPT-OSS? Are they trying to **suck in the developer market** and **lock them in** with their own tools and services? Because if that's the case, it's a very clever move.
## The Developer Market: A Battle for the Future
Let's be honest, **OpenAI has been losing ground** in the developer market. Google's **Gemma** and Microsoft's **Phi** series have been doing a decent job of capturing the attention of developers. And then there's **Qwen**, the fully open-source model from Alibaba, which has been doing surprisingly well. Even **Claude** from Anthropic is starting to make waves.
These models are **good**. They're **fast**. They're **efficient**. And they're **open-source**. That's a big deal. Because when you're a developer, you want to **control your own stack**. You don't want to be locked into a proprietary system that's going to cost you a fortune in API calls.
But here's the thing: **OpenAI is still the king of the consumer market**. They've got the **brand recognition**, the **marketing budget**, and the **influencers**. They're the **McDonald's of AI**. You can't ignore them. They're everywhere.
## The Future of AI: Not Just Chatbots
Now, here's where I think the **real future of AI** lies. It's not just about **chatbots**. It's not just about **answering silly questions**. It's about **building tools** that can **summarize**, **write**, **structure text**, and **provide the glue** between our services. That's where the **value** is. That's where the **money** is. And that's where **OpenAI has been missing in action**.
Sure, they've got **GPT-4**, and it's **amazing**. But when you're trying to build a **real-world application**, you don't want to be paying **$1 per token**. You want something that's **fast**, **efficient**, and **open-source**. That's why models like **Gemma**, **Phi**, and **Qwen** are starting to **take off**. They're the **tools** that developers want. They're the **ones** that can be **integrated** into **real applications**.
## Testing GPT-OSS: A Journalist's Perspective
Now, I'm not here to **bash** OpenAI. I'm a **journalist**, and I want to **understand** what's going on. So, I've been **testing GPT-OSS** myself. I've been running it on my local machine, and I have to say, it's **impressive**. It's **fast**, **efficient**, and **capable**. It's not perfect, but it's **getting close**.
And that's what scares me. Because if this model is **as good as they say**, and if it's **running on a single GPU**, then we're looking at a **new era** in AI. One where **developers** can **build tools** that are **as powerful as GPT-4**, but **without the cost**.
But here's the catch: **OpenAI is still a US company**. And they're still **controlled by Microsoft**. That means we're still looking at a **monopoly** in the AI space. A **monopoly** that's **controlled by a single company** with **deep pockets**. And that's the **real problem**. Because when you have a **monopoly**, you don't get **innovation**. You get **stagnation**. You get **high prices**. You get **lock-in**.
## The Road Ahead: Open Source or Die
So, where do we go from here? Well, I think it's **time for the AI community** to **embrace open source**. To **reject the monopolies**. To **build tools** that are **fast**, **efficient**, and **open**. Because if we don't, we're going to end up in a **world** where the **only possible LLM** is the one created by a **US monopoly**. And that's not a **world** I want to live in.
So, let's **embrace open source**. Let's **build tools** that are **fast**, **efficient**, and **open**. Let's **reject the monopolies**. Let's **build a future** where **developers** can **innovate**, **create**, and **build** without being **locked in** to a **proprietary system**. Because that's the **future** we want. That's the **future** we deserve.
And if OpenAI wants to **play in that future**, they're going to have to **embrace open source**. Because that's the **only way** to **win**. Otherwise, they're going to be left **holding the bag**, just like **Microsoft** did with **Windows 95**. And that's not a **future** I want to see.