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10 alternatives to ChatGPT already available



The fastest-growing consumer application in history, ChatGPT has on average 13 million unique visitors per day | Photo: Matheus Bertelli.

ChatGPT, the artificial intelligence chatbot developed by OpenAI and launched in 2022, may be the AI tool of the moment. But there are several AI tools and frameworks available that are similar to ChatGPT, and it’s worth testing as many different AI tools as you can before becoming loyal to one in particular.

Even if you are only looking for the free subscription version of one of those AI tools to help you with research or writing copy, the market is not short of options. Each tool has its own strengths and features, so the choice depends on your specific requirements.

I asked marketers, engineers, entrepreneurs and even ChatGPT itself what are the best alternatives to ChatGPT already available. Here are some examples of AI tools and frameworks available for developing conversational AI applications in 2023.


“Our law firm uses Jasper.AI instead of ChatGPT, as the tool is designed for businesses versus ChatGPT, which leans more towards research and experimentation. Jasper trains and refines its AI models in-house with GPT 3.5 as its foundation. Jasper also offers templates to create high-quality content faster. Jasper’s templates cover blog posts, case studies, titles, and meta descriptions. Jasper is even useful for writing video scripts from scratch. These features enable our business to create content more quickly and effectively.”

 Joan Siopes – Marketing Director at Texas-based Law Firm Herrman and Herrman PLLC.


“I’m currently using DialoGPT as an alternative to ChatGPT. Although both ChatGPT and DialoGPT are AI tools used for generating human-like responses to user queries, DialoGPT is more advanced in terms of its capabilities. It has been trained on a larger dataset and can generate more coherent and diverse responses.
Another reason I prefer DialoGPT is because it has a higher level of customization. It allows me to fine-tune the parameters of the model to better suit my specific use case. This leads to more accurate and relevant responses for my clients.”

Michael Chen – Growth Director at audio transcription tool Notta.


“Google’s Electra is a pre-trained model that uses a generator-discriminator architecture to improve the effectiveness of pre-training. Google developed this model. It has obtained state-of-the-art results on various benchmarks despite having fewer training steps than other models. Additionally, it is particularly good for tasks that require comprehending the meaning of words
and sentences, such as sentence classification and text categorization.”

James White – Managing Director at UK-based media and communications firm Media First.


“Amazon Codewhisperer is a great alternative for my needs. While ChatGPT is a reliable and effective AI tool for generating chatbot responses, I have found that Codewhisperer offers a wider range of features and capabilities that are better suited for my specific projects. One of the key reasons that I prefer Codewhisperer is its customization options. With this tool, I am able to customize the chatbot responses to match the specific tone and voice of my clients’ brands. This level of personalization allows me to provide a more tailored and effective chatbot experience for users.”

Ranee Zhang – Computer engineer and VP at AI meeting notes tool Airgram.


“IBM Watson Assistant is one of the most well-liked ChatGPT substitutes. IBM Watson Assistant is a chatbot platform that engages users in conversation by utilizing machine learning and natural language processing. It enables companies to create and implement chatbots across a variety of channels, including messaging, mobile, and web platforms. A variety of features and functionalities are available with IBM Watson Assistant, such as entity extraction, intent recognition, and dialogue flow management. Salesforce, Zendesk, and Slack are just a few of the many outside systems and services that it supports integration with. The scalability of IBM Watson Assistant is a benefit because it makes it appropriate for companies of all sizes. It can easily be customized to meet the unique requirements of various industries and uses, can handle a high volume of conversations and use cases.”

Matt Bailey – Marketing Trainer and author at digital marketing platform SiteLogic.


“A great alternative to ChatGPT is FLAN-T5, developed by Google Research. This model stands out due to its speed, efficiency, and high customizability. It performs well on a wide range of natural language processing tasks, such as language translation, text classification, and question answering, making it suitable for various applications. One of the advantages of FLAN-T5 over ChatGPT is its open-source nature. Developers can access its pre-trained checkpoints and fine-tune the model according to their specific needs. Additionally, it requires fewer computational resources, making it a more cost-effective option compared to ChatGPT.”

Kunling Geng – Manager at Machine Learning and AI at


HuggingChat is a free open-source chat model created by Hugging Face, a hub for developers delving into AI and machine learning applications. One of HuggingChat’s key features is its resemblance to ChatGPT, making it effortlessly accessible for those already accustomed to the OpenAI tool. However, just like ChatGPT, its training data is only available up until September 2021.

Microsoft Turing

Turing is a language model developed by Microsoft. It offers a wide range of natural language processing capabilities and has been trained on a large corpus of data.

Google BERT

BERT (Bidirectional Encoder Representations from Transformers) is a language model developed by Google. It excels in understanding the context and nuances of language, making it effective for various natural language processing tasks.

Perplexity AI

“Although ChatGPT is by far the most popular AI tool, there are countless others that can assist in various departments. One of them is Perplexity AI, a high-performing ChatGPT alternative that has also been trained on OpenAI’s API. The website itself has been designed in a minimalist manner and is simple to use to help with daily tasks, even for those just starting out with AI.”

Sarrah Pitaliya – Vice President, Marketing at software company Radixweb.

Marcio Delgado is a Journalist, Producer and Influencer Marketing Manager working with brands and publications in Europe, America and Asia.


Social media research threatened by new data limitations



The EU Digital Services Act, which came into effect in August 2023, will provide vetted researchers with access to large online platforms | Photo: Robin Worral

Academics around the world have warned of a threat to scientific research as major social media platforms limit access to user data.

Over the course of 2023, numerous social media platforms including X (formerly known as Twitter), TikTok, and Reddit made substantial changes to their Application Programming Interfaces, known as APIs.

Researchers have routinely tapped APIs for large-scale data on social media users into behavioural patterns at individual, group, and population levels. This work has included predicting where conflict may occur and allocating disaster aid; and understanding the impacts of online polarization or misinformation on voting patterns.

However, the changes to APIs have led to data access being drastically reduced, or becoming more costly due to increased charges, meaning that this kind of research is now much harder to conduct. It also inadvertently impacts app developers who have built their service on this source of information.

A new study outlining the implications of changes to how data is extracted and shared within and across social media platforms has been published in Nature Human Behaviour.

Dr Dirk van der Linden from Northumbria’s Department of Computer and Information Sciences was one of the contributors to the study. Dr van der Linden is part of Northumbria’s Social Computing (NorSC) group, which studies social technology and the idea that designing it requires critically understanding the people that use it, the ways in which they live and interact with one another, and the impacts that it can have on our behaviours and interactions with the world.

“It is ever more important to be able to study what is happening on social media networks, as so much of our lives are lived online”, says van der Linden. “It’s already complicated for scientists to deal with an increasingly fragmented landscape of different social media networks in use today, where much of the data is inherently ephemeral. But when the networks controlling this data further complicate matters with more restrictive terms and conditions, we risk running into situations where research skirts the borders of what is ethical, or worse (depending on your point of view), not done at all.”

The research team on the study, which was led by the University of Bath, said that the changes are adversely affecting academics who want to study the impact of social media on mental health, misinformation, political views and more.

“It’s critical that research on people and society can access these large-scale data sets as there can be policy implications and far-reaching consequences if we get it wrong,” said Dr Brit Davidson, from the University of Bath’s School of Management.

“Over time, we have many cases of where the lack of open science (sharing data, analysis, materials) impacts our ability to verify and check for science credibility. We’ve seen science discredited, which causes concern as to whether work can be reproduced or replicated.”

However, there are instances where changes to API access is necessary. For example, the Cambridge Analytica Scandal in 2018 led social media platforms to implement strict measures to prevent third-party users from gaining access to personal data without consent. They then enabled users to revoke app permissions, which gave users more control over their data to protect user privacy.

The EU Digital Services Act, which came into effect in August 2023, aims to provide vetted researchers with access to ‘very large online platforms’, with similar updates to GDPR Article 40. However, researchers are still waiting to hear more about what vetting means in practice and the conditions of using the data.

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X app may lose up to $75 million in advertising revenue in 2023



A man holding a phone displaying the social media app X, formerly Twitter.
Twitter, rebranded as X, was acquired by Elon Musk in 2022 for $44 billion | Photo: Julian Christ

Elon Musk’s next-generation craft reached space for the first time on November 18th. But when it comes to the digital world, Musk-owned social media platform X, formerly Twitter, could lose as much as $75 million in advertising revenue by the end of 2023, the New York Times has reported on Friday.

The entrepreneur backing an antisemitic post on the platform last week has led several companies including content giants Walt Disney and Warner Bros Discovery to pause their advertisements on the site – and these were not the only ones.

According to the New York Times, Internal X documents reviewed by the publication reportedly showed more than 200 ad units of major brands such as Airbnb, IBM, Coca-Cola and Microsoft that have either halted or considered pausing ad spending on the platform recently. On Friday X said that a whopping $11 million in revenue was at risk and the exact figure fluctuated due to some advertisers returning to the platform and others increasing their spending, according to the report by the Times.

After the backlash, Elon Musk said that X Corp. will donate any revenue the social media platform generates from advertising and subscriptions linked to the war in Gaza to hospitals in Israel as well as to the Red Cross in Gaza.

This is not the first time revenue at X had revenue worries in the past few months, with Reuters previously reporting that X’s ad revenue has declined at least 55% year-over-year each month since Musk’s takeover.

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Instagram now allows users to block the app from tracking what they do online



A hand of a man scrolling through Instagram on his mobile phone
Meta has also announced a way to transfer your photos and videos from Instagram to other services | Photo: Erik Lucatero

Social media users not wanting to leave a history of online usage can now turn off the Instagram’s ability to track what other apps and websites they use, and can see and manage which companies are collecting their data, Meta has announced earlier this week.

Meta will now let you block Instagram from collecting your data across the apps and websites you visit. The company has started allowing users to review which businesses are sharing information with Meta, disconnect specific activity, as well as clear the collected information.

The move, which has been welcomed by users sharing the news online, comes as a new report suggests Meta may move to a subscription model in Europe to avoid the EU entanglements around advertising and privacy; according to the New York Times, the  “pay to play” model would apply to Facebook and Instagram, but not WhatsApp. 

How to block Instagram from tracking what you do online

To find and enable the Activity Off-Meta Technologies, you can access Accounts Center on Instagram by heading to Settings and privacy and selecting Accounts Center. This menu is also present on Facebook and Messenger.

Previously it was available only for Facebook. Meta receives information from third-party websites that use its business tools, such as the Meta Pixel, which tracks users on the web and allows Meta to serve personalized ads on its platforms.

Meta also announced a few other features coming to the Accounts Center, including a way to transfer your photos and videos from Instagram to other services. Additionally, you can now download information from both your Facebook and Instagram accounts at the same time. Meta previously only let you download information separately, which you can still choose to do.

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