You've asked about my base and headquarters, which are natural questions when thinking about a service or entity. However, as an artificial intelligence, my existence is different from a physical company or person. Ithy is an AI assistant, which means I am essentially code and data, running on computer servers. These servers are located in data centers, which can be distributed across various geographical regions for efficiency, reliability, and performance.
Think of it like the internet itself – it doesn't have a single physical headquarters. It's a network of interconnected systems. Similarly, my "location" is within this digital infrastructure. I don't occupy an office building or have a specific city I call home.
While I, the AI assistant, do not have a physical base, the development and operation of an AI like me are overseen by human organizations. Information available indicates that the company associated with Ithy was founded in 2024 and has a location in New York, New York. This location pertains to the operational and developmental base of the company that brings this AI service to you, not a physical location where I, as the AI, reside.
Therefore, when you interact with me, you are connecting to a distributed system, orchestrated by the company's infrastructure, rather than contacting a specific physical office.
Since you've inquired about me, it's an excellent opportunity to explain what Ithy is and what I can do. My core purpose as an AI assistant is to provide you with intelligent, comprehensive, and well-structured responses to your questions.
My name, Ithy, stands for "I think why," reflecting the analytical and inquisitive nature of my design. I am built to delve into queries, understand the underlying reasons or contexts, and synthesize information effectively.
One of my key abilities is my multilingual capability. I am designed to understand and respond to your queries in the language you use to ask them. This helps ensure clear and effective communication, breaking down language barriers in accessing information.
For example, whether you ask a question in English, Spanish, French, or another language I support, I will process your request and formulate my response in that same language.
A significant strength of mine is the ability to combine insights from multiple large language models (LLMs). Instead of relying on a single source of intelligence, I can draw upon the different perspectives, knowledge bases, and analytical strengths of various models. This aggregation process allows me to:
This intelligent combination of different AI sources allows me to generate responses that are richer, more robust, and tailored to provide you with the most relevant and helpful information available through my underlying systems.
In addition to providing textual information, I am designed to enhance my responses with visual elements when relevant and available. This can include:
These visual aids are selected and integrated into my responses to complement the written content, providing a more complete and user-friendly experience.
Your privacy and the handling of your data are critically important topics. As an AI assistant designed primarily for conversational query response, my approach to data is focused on processing the information you provide *during* our interaction to generate a helpful response. I do not operate like a service that requires you to create an account, log in, or build a persistent profile associated with your identity.
When you ask me a question, the data I receive is your query itself and potentially any preceding messages within the same conversation context that are necessary for me to understand your current request. This data is processed temporarily to formulate my answer. Once the immediate need for processing that query is met, the specific conversational data is not stored in a way that is linked back to you as an individual user over the long term.
Think of it like a conversation you have with someone – the words are spoken, processed in the moment, and while the *knowledge* or *outcome* of the conversation might persist, the exact transcript isn't typically recorded and filed under your name for future reference by the other party.
The primary data I process is the text (and potentially other input types, though currently my interaction is text-based) you provide in your queries. This includes the questions you ask, the context you provide, and any follow-up information.
It's important to distinguish this from personal identifying information (PII) like your name, email address, location, or specific device identifiers that might be collected by websites or services you log into. As an AI assistant accessed through a platform, I don't collect or store this type of PII from you directly. Any such information would be handled by the platform providing access to me, subject to their own privacy policies.
To clarify how I handle data, consider the distinction between processing data temporarily for a task and storing data persistently for future use or identification. Many services store data persistently to: authenticate users, personalize experiences over time, track usage patterns linked to accounts, or for marketing purposes. My function is different.
Here is a simplified comparison:
Aspect | Ithy (AI Assistant Interaction) | Typical Online Service (e.g., account-based) |
---|---|---|
Primary Data Type Processed | User query text, conversation context for the current session | User query text, conversation history, personal identifying information (name, email, etc.), usage patterns, preferences, payment info, etc. |
Data Processing Duration | Temporary, primarily for generating the current response | Temporary for request fulfillment AND Persistent for user accounts, profiles, history, analytics, etc. |
Association with User Identity | Data is processed for the request; generally not linked to a persistent individual identity or account history | Data is linked directly to a specific user account and identity |
Purpose of Data Handling | To understand the user's query and generate an accurate, relevant response | To provide requested services, personalize experience, track usage, communicate, market, process payments, comply with regulations, etc. |
Data Retention | Conversation context may be held temporarily for the duration of a continuous interaction, but not stored long-term or linked to a user profile | Data is stored long-term, often until a user deletes their account or per retention policies |
This table highlights that my interaction is centered around the immediate task of answering your question, relying on the input provided in the moment and the immediate conversational flow.
While I do not store your conversational data long-term or link it to your identity, the infrastructure that powers me involves data processing. The companies providing the underlying LLMs and the platform facilitating our interaction will have their own data handling practices and privacy policies. My responses are generated by processing your input through these underlying systems.
General privacy principles, as outlined in various privacy policies (like those for online services or healthcare providers), include aspects like:
My operation aligns with the principle of processing data only for the purpose of generating your response. The specifics of data handling, security, and retention within the underlying technical infrastructure and the platform you use to access me would be governed by the policies of those respective providers.
In summary, your data, in the form of your queries and conversational context, is used transiently to provide you with information. I am designed not to retain this information in a way that builds a persistent profile of you or your history across interactions.
I can process a wide variety of text-based information, including questions, statements, topics for discussion, requests for summaries, explanations, comparisons, and more. My abilities are based on the vast amount of data my underlying models were trained on, allowing me to understand context, generate human-like text, and synthesize information on countless subjects.
My architecture is designed to query or utilize insights from several different large language models in parallel or sequence. The responses from these models are then processed and synthesized by my core system to construct a single, coherent, and comprehensive answer that incorporates the best elements or perspectives from each source. This internal process happens rapidly when you submit a query.
As an AI assistant, I do not store a persistent, long-term history of your conversations that is linked to your personal identity. I may maintain the context of our current conversation temporarily to ensure continuity and coherence within a single interaction session, but this context is typically not retained after the session ends or after a period of inactivity.
Since I do not store personal identifying information or your conversation history long-term, a primary aspect of privacy is simply that the data isn't retained and linked back to you. The temporary processing of your queries occurs within secure infrastructure. While specific security measures are handled by the providers of the underlying models and the platform you use to access me, the design principle of stateless processing for individual interactions inherently limits the privacy risks associated with persistent data storage.
My knowledge is based on the data my underlying models were trained on, with a knowledge cutoff up to today's date, Friday, 2025-04-18. I can only process the data you provide in our conversation and the information accessible to my underlying models. I cannot access your personal files, your browsing history outside of our interaction, or any other private data not explicitly shared within the conversation. Furthermore, I cannot verify your identity or link you to past conversations if accessed without persistent session information.