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This was a significant improvement over GPT-4's 32,000 token maximum context window. OpenAI has not revealed technical details and statistics about GPT-4, such as the precise size of the model. Later reports showed the bug was much more severe than initially believed, with OpenAI reporting that it had leaked users' "first and last name, email address, payment address, the last four digits (only) of a credit card number, and credit card expiration date". Shortly after the bug was fixed, users could not see their conversation history. In March 2023, a bug allowed some users to see the titles of other users' conversations. In December 2024, OpenAI launched a new feature allowing users to call ChatGPT with a telephone for up to 15 minutes per month for free. OpenAI has?said?that individuals in "certain jurisdictions" (such as the EU) can object to the processing of their personal information by its AI models by filling out?this form. For example, there are chatbots that are rules-based in the sense that they’ll give canned responses to questions. And nonprofit organization Solana officially integrated the chatbot into its network with a ChatGPT plug-in geared toward end users to help onboard into the web3 space. The chatbot uses GPT-4, a large language model that uses deep learning to produce human-like text. OpenAI launched ChatGPT Gov designed to provide U.S. government agencies an additional way to access the tech.
posted by Ada 2025-12-27 16:44:41.544614
Spatial indexing is a technique used to structure and organize geospatial data efficiently, allowing for fast spatial queries and improved data retrieval performance. Uber developed H3 to solve key challenges in geospatial computing, particularly in ride-sharing, logistics, and location-based services. H3 is a discrete global grid system for indexing geographies into a hexagonal grid, developed at Uber. Unlike geographical distance, it’s a topological metric based on hexagonal grid connectivity. Uber H3 is an open-source, hexagonal hierarchical spatial indexing system developed by Uber. Unlike traditional rectangular grid systems, H3’s hierarchical hexagonal tiling ensures uniform spatial coverage, better adjacency properties, and reduced distortion. This code provides an efficient method for visualizing and analyzing flood impacts using H3 spatial indexing and Folium mapping. We extract features from a sample cell and its neighboring cells within two hexagonal rings to analyze local traffic conditions. In this use case, we demonstrate how H3 can be applied to analyze and predict traffic congestion in San Francisco using historical GPS ride data and machine learning techniques.
posted by Ardis 2025-12-27 07:43:38.42821
Security and data leakage are a risk if sensitive third-party or internal company information is entered into a generative AI chatbot, becoming part of the chatbot’s data model which might be shared with others who ask relevant questions. Newer, generative AI chatbots can bring security risks, with the threat of data leakage, sub-standard confidentiality and liability concerns, intellectual property complexities, incomplete licensing of source data, and uncertain privacy and compliance with international laws. For more complex purchases with a multistep sales funnel, a chatbot can ask lead qualification questions and even connect the customer directly with a trained sales agent. It can provide a new first line of support, supplement support during peak periods, or offload tedious repetitive questions so human agents can focus on more complex issues. AI customer support chatbots can create quick, automated responses to user queries and allow for faster issue resolution. Conversational Agents natural language module understands the nuances of human language, translating end-user text or audio during a conversation to structured data that your apps and services can understand. AI chatbots are commonly used as contact center solutions, real-time assistance to human agents, generative chatbots, voice capabilities, and sentiment analysis. AI chatbots can act as the sole point of customer contact, support human agents at call centers, recommend answers generated on the fly, and field frequent customer inquiries. AI chatbots can improve customer experiences with virtual agents trained on a business's content and data, lower costs, and scale customer support.
posted by Evelyne 2025-12-27 07:13:14.162434
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