Llama 4 Critique: Is It Truly Open Source? Analysis by 1littlecoder

- Authors
- Published on
- Published on
In the latest episode of 1littlecoder, we dive headfirst into the world of Llama 4, the brainchild of none other than Mark Zuckerberg. He's been parading around like a peacock, boasting about how this creation will revolutionize open source AI. But hold on a minute, folks. Our host raises a red flag, arguing that despite the grand claims, Llama 4 falls short of the true essence of open source. It's like calling a llama a flamingo - just doesn't add up.
The speaker takes us on a wild ride through the maze of requirements imposed on users to access Llama 4 models. From divulging personal information to agreeing to a stringent community license agreement, it's a bumpy road. And let's not forget the cherry on top - the need to display attributions when using or sharing the models. It's like having to shout your name every time you take a step - utterly ludicrous.
Furthermore, the speaker shines a spotlight on the restrictions placed on who can use Llama 4 based on user numbers and organizational affiliations. It's a bit like saying only certain people can ride the rollercoaster at the fair - a real buzzkill for the rest of us. The speaker's frustration is palpable as they dissect the licensing agreement, pointing out how it veers off course from the core tenets of open source. In the end, the verdict is clear - Llama 4 may be many things, but open source? Not quite.

Image copyright Youtube

Image copyright Youtube

Image copyright Youtube

Image copyright Youtube
Watch Llama 4 is NOT Open Source! on Youtube
Viewer Reactions for Llama 4 is NOT Open Source!
Open weights are not truly open source
Concerns about the licensing and usage restrictions of Llama models
Discussion on the definition of open source and the obligations it entails
Criticism of Meta's licensing and open-source practices
Suggestions for boycotting non-open source models
Debate on the importance of open weights being cheaper to run
Criticism of the lack of transparency in training data usage
Comparison to other non-open source models like Deepseek
Mixed opinions on the significance of Llama's open-source status
Speculation on government involvement in AI regulations
Related Articles

OpenAI PPT 4.1: Revolutionizing Coding with Enhanced Efficiency
OpenAI introduces PPT 4.1, set to replace GPT 4.5. The new model excels in coding tasks, offers a large context window, and updated knowledge. With competitive pricing and a focus on real-world applications, developers can expect enhanced efficiency and performance.

Unveiling the 7 Billion Parameter Coding Marvel: All Hands Model
Discover the game-changing 7 billion parameter model by All Hands on 1littlecoder. Outperforming its 32 billion parameter counterpart, this model excels in programming tasks, scoring 37% on the SWB benchmark. Explore its practical local usage and impressive coding capabilities today!

Introducing Chef.convex.dev: Revolutionizing Application Creation with Strong Backend
1littlecoder introduces chef.convex.dev, a powerful tool for creating applications with a strong backend. They showcase its features, including generating data science questions and building a community platform, highlighting the importance of backend functionality for seamless user experiences.

Unlock Personalized Chats: Chat GPT's Memory Reference Feature Explained
Discover Chat GPT's new Memory Reference feature, allowing personalized responses based on user interactions. Learn how to manage memories and control privacy settings for a tailored chat experience. Explore the implications of this innovative AI technology.