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Search engines are going through a metamorphosis. If Marc Andreessen is right, it won’t be long before the search engines as we know would give way to conversational chatbots.?Sure, the AI may throw users a few blue links that they can cite if they are trying to write something, but they will be forced back to conversing with the AI.

The idea isn’t new — it has always been there, especially for Google. In 1998, when Larry Page and Sergey Brin launched Google, they had a futuristic vision to make the search engine AI-powerful. In April 2002, the search engine launched Google Answers, a service wherein Google staffers would answer questions received via email for a flat fee of $3. The service was, however, shut down within 24 hours due to unanticipated excessive demand.

In the 24-hour window, the search engine realised the potential of the service but also acknowledged the challenge — it wasn’t humanly possible to manually answer each question by the company. They needed an AI-based solution. The same year, during a question-and-answer session at Stanford University, Page said that Google would fulfil its mission only when its search engine was "AI-complete.... You guys know what that means? That's artificial intelligence”.

In 2023, Google’s mission was completed with Bard. AI-powered Google 2.0 will be all about direct answers to complex questions of the world. But this new development is going to disrupt the search space for contributors (website pages) too, posing a major threat to the discoverability of pages on the platform. Whether you like it or not, the development is going to affect the SEO industry.?

To align with this new move of Google Search, experts say that others will have to change strategies to ensure that their content is structured and formatted in a way that can be easily understood and processed by AI algorithms. It will be interesting to see how Google recalibrates the search market after making search pages irrelevant on the search engine.

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OpenAI to Open AI Marketplace

OpenAI has become the pioneer in the building of the AI ecosystem. The company is planning to launch an App Store-like marketplace for AI models. The AI marketplace will allow AI developers to connect with millions of potential users, effectively monetise their offerings, generate substantial revenue, and expand their customer base.

Two months ago, Amazon entered the field of foundational models marketplace with?Bedrock. AWS has announced an API platform that helps customers host generative AI models such as those built by AI21 Labs, Anthropic AI, and Stability AI.?

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India can Learn a Thing or Two from UAE

In the realm of AI development, India can find inspiration in the UAE. The UAE's Technology Innovation Institute recently unveiled Falcon, an open-source LLM that surpasses Meta's LLaMA, offering valuable lessons for India's AI journey. The UAE's commitment to AI advancement, evidenced by appointing the world's first Minister of State for AI and unveiling a comprehensive roadmap, contrasts with India's slower progress.?

To catch up, India must prioritise AI leadership, establish a roadmap, invest in education and skill development, and adopt a moonshot approach with government support and collaboration between academia, industry, and government entities.

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Evaluating Evaluation Metrics

The recent launch of the Falcon language model by UAE's TII on the Hugging Face Open LLM Leaderboard has sparked discussions about the reliability of evaluation metrics. Hugging Face founders discovered discrepancies between benchmark scores reported in research papers and those on the leaderboard, raising concerns about the trustworthiness of metrics.?

The evaluation method used for models like Meta AI's LLaMa came into question, prompting researchers to explore the issue. This highlights the need for standardised evaluation metrics for language models and the impact of implementation details on rankings and scores. Achieving clarity in evaluation is crucial for reliable model comparisons.

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