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Dominance of Open-source AI Exposes Google’s Vulnerability – Leaked Internal Memos
Dominance of Open-source AI Exposes Google’s Vulnerability – Leaked Internal Memos

Dominance of Open-source AI Exposes Google’s Vulnerability – Leaked Internal Memos

by | Jun 12, 2023 | open source AI | 0 comments

In the ever-evolving world of technology, artificial intelligence (AI) has become a major battleground for tech giants. Google, known for its dominance in search engine technology, recently faced an unexpected reality as open-source AI has surpassed its proprietary AI systems. 

In a leaked internal memo, Google executives acknowledged this defeat and admitted that open-source AI outperforms their closed-source models in terms of speed, customization, and overall quality. This revelation has prompted Google to reconsider its strategies and explore the possibility of releasing projects on an open-source basis.

In this blog, we will explore the dominance of Open-source AI that exposes Google’s vulnerability in a leaked internal memo.

Open Source AI Surpasses Google:

Contrary to popular belief, it wasn’t OpenAI but open-source AI that emerged victorious in the AI arms race. 

In the leaked memo, Luke Sernau stated, 

“We’ve done a lot of looking over our shoulders at OpenAI. Who will cross the next milestone? What will the next move be?

But the uncomfortable truth is we aren’t positioned to win this arms race, and neither is OpenAI. While we’ve been squabbling, a third faction has been quietly eating our lunch.

I’m talking, of course, about open source.”

The memo also highlighted several areas where open source AI excels, including mobile phone large language models, multimodal capabilities, responsible release practices, and scalable personal AI chatbots. 

The open-source revolution was ignited by Meta’s release of LLaMA, the first openly available large language model. This event inspired a wave of innovation and development within the open-source community, posing a significant challenge to Google and other closed-source AI systems.

Sernau said this addressed a perennial problem of proprietary AIs today: scaling. Meta’s LLaMA reduced the barrier of entry to just “one person, an evening, and a beefy laptop.”

Advantages of Open Source AI:

The leaked memo outlined the key advantages of open-source AI over Google’s proprietary models. Open-source AI models are faster, more customizable, and offer greater privacy. The flexibility of open-source projects enables rapid iterations and improvements, resulting in a quicker pace of innovation. Additionally, the cumulative effect of fine-tuning and community contributions in the open-source community often surpasses the capabilities of large-scale proprietary models. Open-source AI projects have also closed the quality gap with closed-source models, making it harder for users to justify paying for restricted models that offer similar value to free alternatives.

Differences between Open Source and Closed Source AI Models:

Closed-source AI models are proprietary systems that are tightly guarded by companies and cannot be modified or improved by external developers. They offer control and security for the companies that develop and use them. 

On the other hand, open source AI models provide transparency, accessibility, and collaborative opportunities for developers. The community-driven nature of open-source AI allows for iterative improvements and the incorporation of user feedback, resulting in more robust and innovative solutions.

However, the leaked Google memo points out three key areas where open-source AI projects are miles better than what they currently have.


Scaling open-source AI projects is much better than running Google on its own for the desired results. For Google, scaling means investing in LLMs and billions of parameters. For the open source community, scaling meant “training on small, highly curated datasets” that are highly flexible and quick in terms of the pace of improvement.

Creation Process

As previously mentioned, LoRA (Low-Rank Adaptation of Large Language Models), latent diffusion, or Chinchilla are the main frameworks used by open-source AI projects. These cheaper methods allow engineers to repeat previous work instead of starting from scratch, as Google does with their LLM. this can be considered one of Google’s vulnerabilities. This makes it simple to develop effective projects, like chatGPT alternatives, in just a few weeks without expending excessive amounts of time and effort. 


Since more people know about the best use of AI development in open source, the quality of their work is higher than what Google can offer with their LLM. This opens up opportunities for new and creative applications that were not available before.

Google’s Future in Open Source AI:

The leaked memo suggests that Google sees its future in open-source AI, positioning itself as a thought leader and shaping the narrative in this space. By embracing open-source innovation, Google aims to retain control while benefiting from the advantages of community-driven development. This strategy is not unprecedented for Google, as they have successfully embraced open-source projects like Android OS and Chromium. By becoming a prominent player in the open-source AI community, Google hopes to steer the direction of innovation while expanding its reach and influence.

Implications for SEO and Marketing:

The rise of open-source AI has significant implications for the fields of SEO and marketing. 

Stay updated with the latest information

The leaked Google memo “emphasizes the quick pace of innovation and the necessity of staying updated about new trends and technology, even though it may not have an immediate impact on SEO and digital marketing experts,” Taripe said.

So it’s important to stay updated with the latest information and latest open source AI trends, such as GPT-4 and OpenAI’s recent advancements.

Choose your AI solution wisely

Open-source AI solutions may be advantageous for certain kind of people, but it is riskier compared to closed AI systems such as Bard and ChatGPT, as it is dependent on volunteer development. Because of these reasons, consider some critical factors such as code modifications, community support, security, and dependability to choose your AI solution wisely.

Wrapping it up

Open source is the future of SEO and AI, and Google’s entry into the market denotes a change in the way we engage with technology. AI requires data to function, just like an engine does, but it also needs careful attention from digital marketers who are prepared to keep current on market trends and best practices. If you want to make your business grow by integrating the power of AI and SEO solutions, consider Markethix, the one-stop solution for all your marketing queries. 

Here is the link to the full leaked internal memo: 

(Source – semianalysis)


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