GPT5: The Next Gen LLM with 100x More Parameters than GPT3

Exploring the Future of Language Processing with GPT5, Its Impressive Parameters and Potential Impact on AI Development


When Will GPT 5 Be Released, and What Should You Expect From It?

The article explores the concept of GPT5, the next generation of OpenAI’s GPT series of large language models (LLMs). The article explains that a generative pre-trained transformer (GPT) is a large neural network that can generate code, answer questions, and summarize text, among other natural language processing tasks. The article summarizes the previous versions of GPT, GPT1, GPT2, GPT3, and GPT4, and explains that GPT5 is a hypothetical AI system expected to be the next generation of OpenAI’s GPT series of LLMs. Although GPT-5 has not been released yet, it might have 100 times more parameters than GPT-3, which had 175 billion parameters, use 200 to 400 times more computing than GPT-3, and work with longer context and be trained with a different loss function than GPT-4. The article concludes that with GPT5, it might be possible to achieve artificial general intelligence, the ability to understand and perform any task that a human can.


Amazon Tells Employees It Isn’t Falling Behind on AI

Amazon executives have told staff the company has not fallen behind in the artificial intelligence (AI) race, despite its absence from the field’s recent advances. The company has partnerships with AI firms Hugging Face and Stability AI and uses machine learning across many divisions, but some believe it has failed to launch a consumer-focused generative AI. Amazon has not publicized its experiments but is known to be working on large generative AI models. The company tends not to publicize experiments and usually launches products only after developing a clear market strategy.


Google’s Bold Move: How The Tech Giant Used Generative AI To Revise Its Product Roadmap And Do It Safely

Google has responded to the threat posed by OpenAI’s ChatGPT by incorporating generative AI into its products. The company has modified its long-term strategies by using foundation models and Safe AI to create innovative products and improve existing ones. Google has also made it easy for enterprise customers to access foundation models and build their own generative AI models. By doing so, Google has respun its overall AI strategy, accelerated the integration of AI into its Workspace products, and created a new generative AI search product called Bard. While Google Bard believes in establishing guidelines for responsible AI development, Microsoft Bing remains neutral and OpenAI’s ChatGPT reminds us that the proposal for a six-month moratorium on some forms of AI research was made in 2015. Nonetheless, a recent research paper by Microsoft shows the remarkable capabilities of an early version of GPT-4, which could be viewed as an early version of an artificial general intelligence system.


How SEOs Can Embrace AI-Powered Search

The use of AI-powered search is becoming increasingly popular, with Google and Microsoft’s Bing using AI in their search algorithms for ranking purposes and beyond. Semantic search is a new development that is rarely fully understood. However, spammers are trying to abuse AI technology to fool Google and searchers. Ethical SEOs can rejoice, as machine learning allows Google to more efficiently locate and determine fishy-looking results. The use of AI will also streamline PAA results, and instead of searching for more questions and answers, users will be able to talk to an AI. Fear of AI is usually irrational and often based on survival instincts. Publishers will not go out of business because Google relies on content creators to give them the fodder Bard needs to spit out its answers. Content creators and SEOs must speak up about their concerns with the early versions of Google’s Bard, which lack citations.


Snapchat Adds New Safeguards Around Its AI Chatbot.

Snapchat has introduced new tools, including an age filter and parental insights, to improve the safety of its AI chatbot. The move came after users attempted to trick the bot into providing inappropriate responses. The age filter ensures the bot responds appropriately according to the user’s age, while parents or guardians can access insights into children’s interactions with the chatbot via the Family Center. Snapchat also revealed that it would use OpenAI’s moderation technology to assess the severity of potentially harmful content and temporarily restrict users’ access to the AI chatbot if they misuse the service. The move comes amid concerns about the safety and privacy risks of AI-powered tools.


What Do AI Chatbots Know About Us, And Who Are They Sharing It With?

AI chatbots like OpenAI’s ChatGPT and Google’s Bard have been trained on massive amounts of data to replicate human-like interactions. Although these bots are trained on filtered data, the sheer size of the models makes it impossible for anyone to look through and sanitize the data. Therefore, information scraped into a training set could be regurgitated by chatbots down the line. Privacy experts believe that the data privacy of the average internet user depends on how these bots are trained and how much we plan to interact with them. The privacy policies of AI chatbots are not yet clear. The conversation data generated by these AI chatbots are being stored somewhere, which is a reasonable concern for security.


You Can Use ChatGPT To Browse The Web, Buy Groceries

OpenAI is expanding the capabilities of its conversational AI model, ChatGPT, by rolling out plugins that allow the chatbot to browse the web and execute tasks such as booking flights and buying groceries. The first wave of plugins are now available in alpha to select users and developers, giving ChatGPT access to information that is too recent, too personal or too specific to be included in its training data. While there are risks associated with chatbots having access to the internet, OpenAI has implemented safeguards and is limiting access to a small group of users and developers to start with.