Following the release of rival Anthropic's Claude for Education, OpenAI has announced that its 20 ChatGPT Plus tier will be free for college students until the end of May. The offer comes just in time for final exams and will provide features like OpenAI's most advanced LLM, GPT-4o and an all-new image generation tool. "We are offering a Plus discount for students on a limited-time basis in the US and Canada," the company wrote in a FAQ. "This is an experimental consumer program and we may or may not expand this to more schools and countries over time." On top of the aforementioned features, ChatGPT Plus will offer students benefits like priority access during peak usage times and higher message limits.

As large language models (LLMs) and generative AI become widely adopted, guardrails have emerged as a key tool to ensure their safe use. However, adding guardrails isn't without tradeoffs; stronger security measures can reduce usability, while more flexible systems may leave gaps for adversarial attacks. In this work, we explore whether current guardrails effectively prevent misuse while maintaining practical utility. We introduce a framework to evaluate these tradeoffs, measuring how different guardrails balance risk, security, and usability, and build an efficient guardrail. Our findings confirm that there is no free lunch with guardrails; strengthening security often comes at the cost of usability. To address this, we propose a blueprint for designing better guardrails that minimize risk while maintaining usability. We evaluate various industry guardrails, including Azure Content Safety, Bedrock Guardrails, OpenAI's Moderation API, Guardrails AI, Nemo Guardrails, and Enkrypt AI guardrails. Additionally, we assess how LLMs like GPT-4o, Gemini 2.0-Flash, Claude 3.5-Sonnet, and Mistral Large-Latest respond under different system prompts, including simple prompts, detailed prompts, and detailed prompts with chain-of-thought (CoT) reasoning. Our study provides a clear comparison of how different guardrails perform, highlighting the challenges in balancing security and usability.

AI SPOTS WILDFIRES: FireSat is a new satellite project designed to detect and track wildfires early. The project aims to detect a fire that's merely 270 square feet – about the size of a classroom – within 20 minutes. It's also able to detect fires two to three acres in size, roughly the size of two football fields. TECHNOLOGICAL MIRACLE: The Trump administration recently asked American developers, including OpenAI, for input on what the U.S. needs to do to stay ahead in the global AI competition. We believe that preserving AI's ability to learn should be at the top of the list.

Rami Sinno is crouched beside a filing cabinet, wrestling a beach-ball sized disc out of a box, when a dull thump echoes around his laboratory. "I just dropped tens of thousands of dollars' worth of material," he says with a laugh. Straightening up, Sinno reveals the goods: a golden silicon wafer, which glitters in the fluorescent light of the lab. This circular platter is divided into some 100 rectangular tiles, each of which contains billions of microscopic electrical switches. These are the brains of Amazon's most advanced chip yet: the Trainium 2, announced in December.

If asked to come up with a quintessentially "human" work of art, one could do worse than to name a film by Studio Ghibli. The Japanese animation studio, founded by the legendary eighty-four-year-old director Hayao Miyazaki, is known for its hand-drawn imagery, lushly organic color palettes, epic narratives, and evocation of both the emotional ambiguities of childhood and the twisting path to becoming an adult. We American millennials were blessed to have the films translated and distributed in English just as we were growing up, and so movies including "My Neighbor Totoro," "Princess Mononoke," and "Spirited Away" are nigh-universally recognizable touchstones of our youth. Any Ghibli imagery is primed to make us feel a combination of pleasurable nostalgia and mournful shivers, evoking the doomed forest creatures, greedy bathhouse ghosts, and missed connections featured in Miyazaki's cinematic story lines. Unfortunately, that sense of poignancy quickly erodes when you are bombarded with thousands of Ghibli-esque copycat images, as we all were online last week, thanks to OpenAI's latest version of its ChatGPT tool.

In this interview series, we're meeting some of the AAAI/SIGAI Doctoral Consortium participants to find out more about their research. The Doctoral Consortium provides an opportunity for a group of PhD students to discuss and explore their research interests and career objectives in an interdisciplinary workshop together with a panel of established researchers. In the latest interview, we hear from Joseph Marvin Imperial, who is focussed on aligning generative AI with technical standards for regulatory and operational compliance. Standards are documents created by industry and/or academic experts that have been recognized to ensure the quality, accuracy, and interoperability of systems and processes (aka "the best way of doing things"). You'll see standards in almost all sectors and domains, including the sciences, healthcare, education, finance, journalism, law, and engineering.

The frenzy to create Ghibli-style AI art using ChatGPT's image-generation tool led to a record surge in users for OpenAI's chatbot last week, straining its servers and temporarily limiting the feature's usage. The viral trend saw users from across the globe flood social media with images based on the hand-drawn style of the famed Japanese animation outfit, Studio Ghibli, founded by renowned director Hayao Miyazaki and known for movies such as "Spirited Away" and "My Neighbor Totoro." Average weekly active users breached the 150 million mark for the first time this year, according to data from market research firm Similarweb.

ChatGPT's built-in image generation feature is now available to everyone. OpenAI CEO Sam Altman said last week that the company is delaying its rollout to free tier "for a while," because the tool was way more popular than they had expected. But the company made the feature available to free users over the weekend, allowing them to generate images from within ChatGPT and without having to switch to OpenAI's DALL-E generator. Prior to its rollout to the free tier, the tool was only available to Plus, Pro and Team subscribers. Altman previously said that free users will get a limit of three images per day.

OpenAI on Monday said it raised 40 billion in a new funding round that valued the ChatGPT maker at 300 billion, the biggest capital-raising session ever for a startup. The infusion of cash comes in a partnership with Japanese investment giant SoftBank Group and "enables us to push the frontiers of AI research even further," the San Francisco-based company said in a post on its website. "Their support will help us continue building AI systems that drive scientific discovery, enable personalized education, enhance human creativity, and pave the way toward AGI (artificial general intelligence) that benefits all of humanity," the company said.

OpenAI said it had raised US 40bn in a funding round that valued the ChatGPT maker at 300bn – the biggest capital-raising session ever for a startup. It comes in a partnership with the Japanese investment group SoftBank and "enables us to push the frontiers of AI research even further," OpenAI announced, adding it would "pave the way toward AGI (artificial general intelligence)" for which "massive computing power is essential". SoftBank said it wanted to realise "artificial super intelligence" (ASI) surpassing human intelligence and OpenAI was the partner closest to achieving that goal. SoftBank is to put 10bn at first into OpenAI and 30bn more by the end of 2025 if certain conditions are met. Also on Monday, OpenAI announced it was building a more open generative AI model as it faces growing competition in the open-source space from DeepSeek and Meta.