Artificial intelligence
fromAxios
2 days agoOpenAI releases "Spud" GPT-5.5 model
GPT-5.5 enhances autonomous task handling and efficiency in various fields, marking a significant advancement in AI capabilities.
Next-word pretraining creates statistical pressure toward hallucination, even with idealized error-free data. Facts lacking repeated support in training data yield unavoidable errors, while recurring regularities do not.
Did you know you can teach ChatGPT how to respond to certain requests? Not only can you give ChatGPT instructions, but they'll stick (mostly) for every session. This feature is called Custom Instructions. It lives in the Personalization tab of ChatGPT's settings. In a minute, I'll show you a set of really powerful directives that can help make you super productive.
ChatGPT Pulse is a mobile AI feature for Pro users that delivers personalized updates and information directly in users' feeds. This new "push" approach gives brands an opportunity to reach audiences proactively, even before they search for content. To appear in ChatGPT Pulse, focus on building content that is authoritative, clear, and AI-ready. Establish verified brand profiles, maintain canonical pages, and publish regularly updated, time-stamped content.
OpenAI is updating ChatGPT's deep research tool with a full-screen viewer that you can use to scroll through and navigate to specific areas of its AI-generated reports. As shown in a video shared by OpenAI, the built-in viewer allows you to open ChatGPT's reports in a window separate from your chat, while showing a table of contents on the left side of the screen, and a list of sources on the right.
AI Text Humanizer Protects Your Original Intent and Meaning Maintain your core perspective while restructuring sentence patterns. Humanizer ai accurately identifies and locks in technical terms, factual data, and key arguments, ensuring the rewritten draft is simply more readable without any semantic drift. You get a qualitative leap in flow and tone, allowing you to humanize ai text while keeping your original message perfectly intact.
A major difference between LLMs and LTMs is the type of data they're able to synthesize and use. LLMs use unstructured data-think text, social media posts, emails, etc. LTMs, on the other hand, can extract information or insights from structured data, which could be contained in tables, for instance. Since many enterprises rely on structured data, often contained in spreadsheets, to run their operations, LTMs could have an immediate use case for many organizations.
The new model consolidates some of the capabilities that OpenAI had previously spread across separate models, bringing together the coding strengths of GPT-5.3-Codex-the company's leading programming model-improved reasoning skills, and the agentic ability for the model to navigate desktops, browsers, and software applications autonomously.
Subscriber momentum accelerated meaningfully to start the year, with January and February on track to be the largest months for new subscribers in our history. People use ChatGPT to learn, write, plan, and build. As usage scales, the product improves in ways people feel immediately: faster responses, higher reliability, stronger safety, and more consistent performance.