Future of Reviews

The Future of Reviews: When Your Intelligent Assistant Takes Charge


In the not-so-distant future, the way we evaluate products and services will undergo a radical transformation. The age of sifting through Yelp reviews or seeking recommendations from friends will be replaced by a far more personalized and efficient system: Intelligent Assistants (IAs) will assume the role of evaluating and scoring various options, utilizing advanced machine learning algorithms. In this new paradigm, each human will have a dedicated IA, and this IA will maintain a multi-dimensional scoring table for different services, such as restaurants. The IA will employ gradient descent algorithms to quickly and efficiently make choices on behalf of its human owner. Human reviews, in this context, will become obsolete.

Multi-Dimensional Scoring System

The traditional approach to reviewing services often limits evaluations to a few dimensions, such as quality, price, and timeliness. However, IAs will utilize a multi-dimensional table that encompasses a wide range of factors, including accuracy, healthiness of ingredients, and even the mood of the human owner at the time of service. Each transaction or interaction with a service will contribute to this evolving table, continuously updating the scores along various dimensions.

Role of Gradient Descent

Gradient descent, a first-order iterative optimization algorithm, will be a crucial element in this new review system. This algorithm enables IAs to rapidly navigate through the multi-dimensional scoring table, identifying the optimal choices for any given situation. The algorithm works by iteratively adjusting the parameters, in this case, the various dimensions, to minimize a function, such as the difference between expected and actual service quality. Thus, decision-making becomes a seamless and highly efficient process for the IA.

Evolutionary Nature of IA Reviews

Initially, humans will guide their IAs, specifying preferences and providing initial data to populate the multi-dimensional table. Over time, however, IAs will develop a nuanced understanding of their human owners’ preferences and needs. The IAs will adapt, learning from each new transaction, continuously refining the scoring table and improving the decision-making process. The IA will “know” its human owner, rendering the need for manual reviews and recommendations obsolete.

The Irrelevance of Human Reviews

As IAs take over the review process, human-generated reviews will lose their relevance. The general, one-size-fits-all nature of such reviews will pale in comparison to the personalized, multi-dimensional evaluations performed by IAs. The future will see the phasing out of platforms relying on human reviews, as IAs will offer a more accurate and tailored evaluation, making generic reviews obsolete.


The era of Intelligent Assistants will revolutionize how we perceive and utilize reviews. With the advent of multi-dimensional scoring tables and the application of gradient descent algorithms, IAs will make rapid and personalized decisions on behalf of their human owners. In this new landscape, traditional human reviews will become a thing of the past, replaced by the superior decision-making abilities of IAs.

Author: John Rector

John Rector is an AI Futurist who predicted the next word in business™, starting with his notable paper from 2015, "Mommy, What's a Cashier?" Drawing upon 40 years of experience in the practical applications of high technology, he assists clients in converting uncertainty into strategic advantages within a one-to-six-year framework. With leadership roles including IBM executive and co-founder of e2open, he has a diverse and impactful background. In the AI sector, he has set benchmarks through his contributions to Mind Media Group and Florrol, pioneering AI-based services and content generation. His investment initiative, Waterway Ventures, is committed to advancing promising AI startups. His creative ventures include founding Bodaro and graphic design studio Palm ❤️. In education, he has launched Nextyrn, which uses AI for personalized learning experiences, and in art, he leads Potyn, an initiative using AI to create bespoke pieces. His ever-expanding portfolio features companies like Nozeus, Infinia, Blacc Ink, and Maibly. Operating from Charleston, SC, his current focus involves partnering with individuals and enterprises to develop innovative business models and processes for the rapidly approaching age of AGI.

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