#multi-token-attention

#multi-token-attention

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.

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.

What happens under the hood? How is the search engine able to take that simple query, look for images in the billions, trillions of images that are available online? How is it able to find this one or similar photos from all that? Usually, there is an embedding model that is doing this work behind the hood.

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.

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.

By comparing how AI models and humans map these words to numerical percentages, we uncovered significant gaps between humans and large language models. While the models do tend to agree with humans on extremes like 'impossible,' they diverge sharply on hedge words like 'maybe.' For example, a model might use the word 'likely' to represent an 80% probability, while a human reader assumes it means closer to 65%.

Most people become an expert in something by putting in their 10,000 hours. But what a waste that is when you can just trick ChatGPT into telling everyone you are an expert in about 20 minutes. BBC reporter Thomas Germain laid out how he got ChatGPT and Google's Gemini AI to recognize his hot dog-eating prowess with what amounts to a modern SEO trick.

OpenAI has released Open Responses, an open specification to standardize agentic AI workflows and reduce API fragmentation. Supported by partners like Hugging Face and Vercel and local inference providers, the spec introduces unified standards for agentic loops, reasoning visibility, and internal versus external tool execution. It aims to enable developers to easily switch between proprietary models and open-source models without rewriting integration code.

While this announcement applies to several older models, GPT‑4o deserves special context. After we first [retired] it and later restored access during the GPT‑5 release, we learned more about how people actually use it day to day.

Semantic ablation is the algorithmic erosion of high-entropy information. Technically, it is not a "bug" but a structural byproduct of greedy decoding and RLHF (reinforcement learning from human feedback). During "refinement," the model gravitates toward the center of the Gaussian distribution, discarding "tail" data - the rare, precise, and complex tokens - to maximize statistical probability. Developers have exacerbated this through aggressive "safety" and "helpfulness" tuning, which deliberately penalizes unconventional linguistic friction.

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.

Talking to ChatGPT feels more collaborative than typing. It shines for brainstorming, prep, and translation. Usage limits can interrupt productivity mid-session. Voice Mode runs on mobile devices, as well as in your browser. On mobile, there are two ChatGPT widgets available for the lock screen. One widget opens the app, and one launches ChatGPT Voice.