This article discusses the recent advancements in AI language models, particularly OpenAI's ChatGPT. It explores the concept of hallucination in AI and the ability of these models to make predictions. The article also introduces the new plugin architecture for ChatGPT, which allows it to access live data from the web and interact with specific websites. The integration of plugins, such as Wolfram|Alpha, enhances the capabilities of ChatGPT and improves its ability to provide accurate answers. The article highlights the potential opportunities and risks associated with these advancements in AI.
The main topic of the article is the development of AI language models, specifically ChatGPT, and the introduction of plugins that expand its capabilities. The key points are:
1. ChatGPT, an AI language model, has the ability to simulate ongoing conversations and make accurate predictions based on context.
2. The author discusses the concept of intelligence and how it relates to the ability to make predictions, as proposed by Jeff Hawkins.
3. The article highlights the limitations of AI language models, such as ChatGPT, in answering precise and specific questions.
4. OpenAI has introduced a plugin architecture for ChatGPT, allowing it to access live data from the web and interact with specific websites, expanding its capabilities.
5. The integration of plugins, such as Wolfram|Alpha, enhances ChatGPT's ability to provide accurate and detailed information, bridging the gap between statistical and symbolic approaches to AI.
Overall, the article explores the potential and challenges of AI language models like ChatGPT and the role of plugins in expanding their capabilities.
### Summary
This article explores the best alternatives to Character AI, including ChatGPT, Janitor AI, AI Dungeon, Venus Chub AI, and Crushon AI.
### Facts
- Character AI is a tool that uses advanced technology to create text that sounds fluent and has its own personality.
- Some C.AI alternatives may understand context better, give more sensible responses, or work well for specific industries.
- The best C.AI alternatives include ChatGPT, Janitor AI, AI Dungeon, Venus Chub AI, and Crushon AI.
- ChatGPT is trained on a large dataset and can comprehend and produce human-like language for various applications.
- Janitor AI is a chatbot with AI that accurately interprets and responds to human inquiries.
- AI Dungeon is a text adventure game with AI-generated single-player and multiplayer content.
- Venus Chub AI is a smart chatbot powered by AI that can respond to queries and have enjoyable conversations.
- Crushon AI offers flexibility and openness for communication with AI chatbots and is designed for users who want to learn various subjects.
🤖 ChatGPT: Understands and produces human-like language\
🧹 Janitor AI: Chatbot with accurate natural language understanding\
🎮 AI Dungeon: AI-generated text adventure game\
👩💻 Venus Chub AI: Smart chatbot with conversational capabilities\
🔓 Crushon AI: Flexible and unrestricted AI for learning
Healthcare technology company Innovaccer has unveiled an AI assistant called "Sara for Healthcare" that aims to automate workflows and offer insights to healthcare leaders, clinicians, care coordinators, and contact center representatives. The suite of AI models has been trained specifically for the healthcare context, with a focus on accuracy and addressing privacy and regulatory requirements. The AI assistant works in conjunction with Innovaccer's platform, which integrates healthcare data from various sources. The suite includes features such as instant answers to questions, help with care management, assistance with EHR administrative tasks, and streamlining contact center workflows.
Google has developed a prototype AI-powered research tool called NotebookLM, which allows users to interact with and create new things from their own notes, and could potentially be integrated into Google Docs or Drive in the future. The tool generates source guides, provides answers to questions based on the user's provided data, and offers citations for its responses. While still in the prototype phase, NotebookLM has the potential to become a powerful and personalized chatbot.
GM has partnered with Google to use AI chatbots powered by Google's Cloud conversation AI tech to provide custom responses to customer inquiries on its OnStar in-car concierge, with the potential to handle emergency requests in the future.
AI-powered tools like Claude AI, PinwheelGPT, Reimagine, Tome, Whisper Memos, and Eleven Labs are providing helpful and creative functionalities such as explaining and summarizing text, providing kid-friendly chats, animating old photos, creating compelling visuals, transcribing voice memos with accuracy, and generating AI voices.
Cryptocurrency exchange Bybit has introduced an AI-powered trading assistant called TradeGPT that provides real-time market analysis and answers user questions in multiple languages, leveraging the generative abilities of ChatGPT's language model and Bybit's ToolsGPT. Other exchanges like Crypto.com and Binance have also integrated AI-powered tools for market insights, and the use of AI in various sectors continues to drive innovation.
Mustafa Suleyman, co-founder of Google's DeepMind, predicts that within the next five years, everyone will have their own AI-powered personal assistants that intimately know their personal information and boost productivity.
Almost a quarter of organizations are currently using AI in software development, and the majority of them are planning to continue implementing such systems, according to a survey from GitLab. The use of AI in software development is seen as essential to avoid falling behind, with high confidence reported by those already using AI tools. The top use cases for AI in software development include natural-language chatbots, automated test generation, and code change summaries, among others. Concerns among practitioners include potential security vulnerabilities and intellectual property issues associated with AI-generated code, as well as fears of job replacement. Training and verification by human developers are seen as crucial aspects of AI implementation.
Professors and teachers are grappling with the use of AI services like ChatGPT in classrooms, as they provide shortcuts not only for obtaining information but also for writing and presenting it. Some educators are incorporating these AI tools into their courses, but they also emphasize the importance of fact-checking and verifying information from chatbots.
IBM has introduced new generative AI models and capabilities on its Watsonx data science platform, including the Granite series models, which are large language models capable of summarizing, analyzing, and generating text, and Tuning Studio, a tool that allows users to tailor generative AI models to their data. IBM is also launching new generative AI capabilities in Watsonx.data and embarking on the technical preview for Watsonx.governance, aiming to support clients through the entire AI lifecycle and scale AI in a secure and trustworthy way.
Zoom has unveiled its "AI Companion," a generative AI assistant that automates tasks and improves productivity during video conferencing, including composing chat responses, summarizing messages, and providing smart recordings and meeting summaries. The AI Companion also addresses privacy concerns by assuring users that their data will not be used to train AI models.
Salesforce is introducing AI chatbots called Copilot to its applications, allowing employees to access generative AI for more efficient job performance, with the platform also integrating with its Data Cloud service to create a one-stop platform for building low-code AI-powered CRM applications.
Salesforce has announced Einstein Copilot Studio, a tool that allows customers to customize the base Einstein GPT and Einstein Copilot offerings by adding custom prompts, skills, and models, providing more flexibility and control for businesses using Salesforce AI.
BERT is an AI language model developed by Google that works behind the scenes to improve search results by understanding long, conversational queries and considering the influence of surrounding words.
Google has announced updates to its Bard AI chatbot that give it access to various Google tools, including YouTube and Google Drive, enabling it to assist users in a wider range of tasks such as planning trips or summarizing meeting notes. The updates also include multilingual capabilities, fact-checking abilities, and enhancements to the language model. The move demonstrates Google's effort to enhance the functionality and usefulness of its consumer-facing AI technologies.
GitHub is expanding its AI-powered coding chatbot, Copilot Chat, to individual users, allowing them to receive coding assistance and answers to coding questions within the IDE.
ServiceNow's latest release, Vancouver, incorporates artificial intelligence features such as Generative AI and robo-written summaries, along with the implementation of Zero Trust principles to boost security and expand its workflow capabilities to different departments.
The future of AI chatbots is likely to involve less generic and more specialized models, as organizations focus on training data that is relevant to specific industries or areas, but the growing costs of gathering training data for large language models pose a challenge. One potential solution is the use of synthetic data, generated by AI, although this approach comes with its own set of problems such as accuracy and bias. As a result, the AI landscape may shift towards the development of many specific little language models tailored to specific purposes, utilizing feedback from experts within organizations to improve performance.
AI Assistant Goes on a Hilarious Journey to Find CEO's Email Address
In this entertaining article, the author shares their experience using an AI helper called Auto-GPT to find the email address of the CEO of a startup called Lindy AI. Auto-GPT, acting like an enthusiastic intern, diligently searches the web and provides a running commentary on its progress. Despite various attempts and even guessing the email address based on common formats, Auto-GPT fails to find the CEO's contact information. However, this amusing incident highlights the potential of AI in performing a wide range of sophisticated tasks. The article also explores the challenges and risks associated with relying on AI agents for important tasks like contacting people on your behalf. The CEO of Lindy AI believes that AI agents can replace certain professions, including journalists and lawyers. The article concludes with the author's reflection on the future potential of AI agents and the need for humans to acquire the skill of interacting with them.
Microsoft is introducing Copilot, an AI-powered digital helper that aims to transform how users interact with Windows laptops, providing proactive assistance and personalized features.
Big Tech companies like Google, Amazon, and Microsoft are pushing generative AI assistants for their products and services, but it remains to be seen if consumers will actually use and adopt these tools, as previous intelligent assistants have not gained widespread adoption or usefulness. The companies are selling the idea that generative AI is amazing and will greatly improve our lives, but there are still concerns about trust, reliability, and real-world applications of these assistants.
Amazon has announced that large language models are now powering Alexa in order to make the voice assistant more conversational, while Nvidia CEO Jensen Huang has identified India as the next big AI market due to its potential consumer base. Additionally, authors George RR Martin, John Grisham, Jodi Picoult, and Jonathan Franzen are suing OpenAI for copyright infringement, and Microsoft's AI assistant in Office apps called Microsoft 365 Copilot is being tested by around 600 companies for tasks such as summarizing meetings and highlighting important emails. Furthermore, AI-run asset managers face challenges in compiling investment portfolios that accurately consider sustainability metrics, and Salesforce is introducing an AI assistant called Einstein Copilot for its customers to interact with. Finally, Google's Bard AI chatbot has launched a fact-checking feature, but it still requires human intervention for accurate verification.
Salesforce has introduced its own generative AI assistant, Einstein Copilot, at the Dreamforce 2023 conference, aiming to enhance ease and productivity in CRM apps by automating tasks such as creating account updates, generating replies, and personalizing actions based on industry needs. The company also unveiled Einstein Copilot Studio, a low-code tool for creating and deploying individualized generative AI models. With its strong data integration capabilities and market dominance in CRM, Salesforce is positioning itself for success in the competitive generative AI field.
Salesforce's Dreamforce 2023 conference focused on data, AI, and trust, with the highlight being the introduction of the Einstein 1 Platform, which integrates data, AI, and apps to enhance productivity and customization within the Salesforce ecosystem. However, there are concerns regarding the integration of on-premises data and the need for partnerships with ERP companies.
Using AI tools like ChatGPT can help you improve productivity, brainstorm ideas, and ask questions without fear of judgment in a professional context, according to Sarah Hoffman, VP of AI and machine learning research at Fidelity Investments.
Amazon has introduced new AI capabilities for its Alexa products, including a large language model called AlexaLLM, which will enable personalized experiences and context recognition, but it will also use user voice interactions to train its AI model, raising concerns about privacy and data usage.
Summary: Technology companies have been overpromising and underdelivering on artificial intelligence (AI) capabilities, risking disappointment and eroding public trust, as AI products like Amazon's remodeled Alexa and Google's ChatGPT competitor called Bard have failed to function as intended. Additionally, companies must address essential questions about the purpose and desired benefits of AI technology.
Google announced at its Made by Google event that it will integrate its Bard AI chatbot into Google Assistant, providing more contextually aware responses and a more personalized helper for mobile users in the coming months.
Google Assistant is set to undergo a significant upgrade with the introduction of Bard, a generative AI technology that will enhance its capabilities by integrating personalized help, reasoning, and generative capabilities to provide proactive and efficient assistance across multiple channels.
Google has introduced Assistant with Bard, an AI-powered service that combines generative AI chatbot Bard with Google Assistant to provide more personalized and conversational assistance across text, voice, and image interactions while integrating with Google services, though it will be rolled out in stages and tested by early users before being made available to the public.
Google announced that it is working on integrating its Assistant with Bard AI, allowing users to access information from various contexts and perform tasks seamlessly, such as pulling details from emails, creating meal plans, and exporting data without the need for a keyboard or copy-paste.
Google Assistant will integrate Google's browser-based AI chat program, Bard, into its responses, allowing it to perform more complex tasks such as generating cover letters, writing code, and answering complex questions.
Google Assistant with Bard, the new voice-activated AI chatbot, will soon be able to summarize emails, plan routes, and provide information by scanning the internet, marking a shift towards smartphones becoming AI-powered assistants that streamline day-to-day tasks.
Tech giants like Amazon, OpenAI, Meta, and Google are introducing AI tools and chatbots that aim to provide a more natural and conversational interaction, blurring the lines between AI assistants and human friends, although debates continue about the depth and authenticity of these relationships as well as concerns over privacy and security.
Snap is facing scrutiny from the UK's Information Commissioner's Office (ICO) over privacy concerns related to its chatbot for teenagers, My AI, which could potentially lead to the app being taken down in the UK and data collection halted. Additionally, 4chan users are misusing Bing's AI feature, DALL-E 3, to spread offensive propaganda online, and Meta's new AI sticker feature is facing criticism for allowing inappropriate content to be created and shared. On the other hand, Google is introducing Assistant with Bard, a virtual AI assistant that combines generative AI with Google Assistant's capabilities.
Microsoft Copilot, an AI assistant that lives within Microsoft 365 apps, has the ability to access and compile sensitive data, posing potential risks for information security teams.
