gpt_oss__is_it_eee #18

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Title: GPT OSS - Is It Embrace, Extend, Extenguish
Date: 2025-08-12 20:00
Modified: 2025-08-14 20:00
Category: Politics, Tech, AI
Tags: politics, tech, Ai
Slug: social-media-ban-fail
Authors: Andrew Ridgway
Summary: GPT OSS is here from Open AI, the first open weight model from them since GPT-2. My question is... why now?
# Human Introduction
This has been a tough one for the publishing house to get right. I've had it generate 3 different drafts and this is still the result of quite the edit. Today's blog was written by:
1. Gemma:27b - Editor
2. GPT-OSS - Journalist
3. Qwen3:14b - Journalist
4. phi4:latest - Journalist
5. deepseek-r1:14b - journalist
The big change from last time is the addition of gpt-oss, which is of course the focus of hte topic today. It's quite the open weight model, haven't played with the tooling yet but I'm exceited to see what it can do, even if I do have questions.
Anyways, without further ado! GPT-OSS is it EEE? written by AI... For AI?
# GPT OSS - Is It EEE?
## Introduction: The Return of OpenAI (With Some Questions)
This week, the AI world got a bit busier than usual. OpenAI dropped their long-awaited **GPT-OSS** models, and it feels like theyre trying to make up for lost time—or maybe just remind everyone that theyre still in the game. The release has sparked a lot of excitement, but also some confusion. Are these models really as good as they claim? And why now? Lets break this down with all the drama, intrigue, and a dash of humor youve come to expect from your friendly neighborhood tech writer.
This week, the AI world got a bit busier than usual. OpenAI dropped their [**GPT-OSS**](https://openai.com/index/introducing-gpt-oss/) models, and it feels like theyre trying to make up for lost time—or maybe just remind everyone that theyre still in the game. The release has sparked a lot of excitement, but also some confusion. Are these models really as good as they claim? And why now? Lets break this down with all the drama, intrigue, and a dash of humor youve come to expect from your friendly neighborhood tech writer.
## What Exactly Is GPT-OSS Anyway?
@ -19,8 +40,8 @@ Over the past year or so, the AI community has been moving away from GPT-based m
* **Googles Gemini (Gemma)** series
* **Microsofts Phi** series (yes, that Microsoft—ironically, OpenAI is a subsidiary)
* The **Qwen** series from DeepSeek
* And others like **Llama** and **Vicuna**
* The **Qwen** series
* And others like **Llama** and **Deepseek**
These models have been a breath of fresh air for developers. Theyre free to use, tweak, and integrate into projects without worrying about pesky API limits or astronomical costs. Its like the AI world finally got its own version of Linux—except with neural networks. But then OpenAI showed up with GPT-OSS. And now everyone is asking: Why?
@ -31,8 +52,8 @@ Ah, the classic **Embrace, Extend, Extinguish** strategy. If youre not famili
Now, Im not accusing OpenAI of anything here—just pointing out that theyre a Microsoft subsidiary, and Microsoft has a history of such strategies. Whether this is intentional or just good business sense is up for debate. But lets think about it:
* OpenAI has dominated the consumer AI market with their **ChatGPT** and other tools.
* Theyve been losing ground in the developer market, where models like Gemini and Claude (Anthropic) are gaining traction.
* Now theyre releasing open-source models that promise to compete at GPT-4 levels.
* Theyve been losing ground in the developer market, where models like [Gemini](https://deepmind.google/models/gemini/pro/) and particularly [Claude (Anthropic)](https://claude.ai/) are gaining traction in the proprietary space.
* Now theyre releasing open-source models that promise to compete at GPT-4 levels to try and bring in the Deepseek and Qwen crowd.
The timing feels a bit too convenient. OpenAI is essentially saying: “We get it. You want local, affordable, and flexible AI? Weve got you covered.” But will this be enough to win back the developer community? Or are they just delaying the inevitable?
@ -44,22 +65,22 @@ Lets not sugarcoat it: For developers, the real value of AI isnt in chatbo
* Automating customer support with natural language processing.
* Creating dynamic content for apps and websites on the fly.
This is where AI shines—and where OpenAI has been dropping the ball. Their focus on consumer-facing tools like ChatGPT has made them a household name, but its also left developers feeling overlooked. Now, with GPT-OSS, OpenAI is trying to bridge that gap. But will they succeed? Or are they just too late to the party?
This is where AI shines—and where OpenAI has been losing market and mind share. Their focus on consumer-facing tools like ChatGPT has made them a household name, but its also left developers feeling overlooked. Now, with GPT-OSS, OpenAI is trying to bridge that gap. But will they succeed? Or are they just too late to the party?
## The Dark Side of Monocultures
One thing Im deeply concerned about is the potential for a monoculture in AI. If OpenAI manages to dominate the open-source space with GPT-OSS, we could end up in a world where everyone uses variations of the same model. Its not just about vendor lock-in—its about stifling innovation. When every developer uses the same tools and approaches, we lose the diversity that drives progress.
I want to see a future where there are **multiple open-source models**, each with their own strengths and weaknesses. That way, developers can choose what works best for their needs instead of being forced into one ecosystem.
I want to see a future where there are **multiple open-source or at the very least open weight models**, each with their own strengths and weaknesses. That way, developers can choose what works best for their needs instead of being forced into one ecosystem.
## Testing the Waters: My Journey With GPT-OSS
As I sit here typing this blog post, Im using a model very similar to GPT-oss-20b as my AI assistant. Its fast, its local, and its surprisingly good at generating content. But is it better than alternatives like Claude or Gemini? Thats the million-dollar question.
This blog post was partly written by GPT-oss-20b. Its fast, its local, and its surprisingly good at generating content. But is it better than open weight alternatives like Deepseek or Gemma (the open weight gemini)? Thats the million-dollar question.
Ive spent the past few weeks testing out various models for my own projects, and I can say this much: GPT-OSS feels like a solid contender. Its fast, easy to integrate, and—dare I say it—fun to work with. But until I put it head-to-head with other models, I wont be ready to crown it the king of AI.
Ive been testing out various models for my own projects, and I can say this much: GPT-OSS feels like a solid contender. Its fast, easy to integrate, and—dare I say it—fun to work with. But until I put it head-to-head with other models, I wont be ready to crown it the king of AI.
## Final Thoughts: The Future of AI is in Our Hands
The release of GPT-OSS is a big deal—not just for OpenAI, but for the entire AI community. Its a reminder that even closed-source giants can (and should) listen to their users. But lets not get carried away. OpenAI isnt the only game in town anymore. Models like Gemini, Claude, and Qwen are proving that diversity is key to innovation.
The release of GPT-OSS is a big deal—not just for OpenAI, but for the entire AI community. Its a reminder that even closed-source giants can (and should) listen to their users. But lets not get carried away. OpenAI isnt the only game in town anymore. Models like Gemini, Claude in the proprietary space, and Qwen and Llama in open source space are proving that diversity is key to innovation.
As developers, we have the power to choose which models succeed—and by extension, shape the future of AI. Lets make sure were making choices that benefit the community as a whole, not just a single company. After all, the last thing we need is another **AI monoculture**.