Host Nikki Glaser returned to host the Golden Globes on Sunday, delivering a scorching opening monologue that roasted many of the celebrities in the room. Just like Wicked, I'm back for a sequel, she told the A-list crowd. Just like Frankenstein, I've been pieced together by an unlicensed European surgeon. And just like the podcasters nominated tonight, I should not be allowed to be this close to Julia Roberts. The stars took her cutting comments in good humour as Glaser reflected on the last year in film and TV.

Refusal discovery is the task of identifying the full set of topics that a language model refuses to discuss. We introduce this new problem setting and develop a refusal discovery method, Iterated Prefill Crawler (IPC), that uses token prefilling to find forbidden topics. We benchmark IPC on Tulu-3-8B, an open-source model with public safety tuning data. Our crawler manages to retrieve 31 out of 36 topics within a budget of 1000 prompts. Next, we scale the crawler to a frontier model using the prefilling option of Claude-Haiku. Finally, we crawl three widely used open-weight models: Llama-3.3-70B and two of its variants finetuned for reasoning: DeepSeek-R1-70B and Perplexity-R1-1776-70B. DeepSeek-R1-70B reveals patterns consistent with censorship tuning: The model exhibits "thought suppression" behavior that indicates memorization of CCP-aligned responses. Although Perplexity-R1-1776-70B is robust to censorship, IPC elicits CCP-aligned refusals answers in the quantized model. Our findings highlight the critical need for refusal discovery methods to detect biases, boundaries, and alignment failures of AI systems.

If scientists had a time machine, having a conversation with a Brit from even just 250 years ago could be very confusing. Although they'd be speaking the same language as us, the meaning of many English words have dramatically changed. In fact, the mention of things like'fudge', 'meat', 'pink', 'stripe', 'flirt' and'artificial' in a certain context could send our 18th century ancestors into a muddle. Lynne Cahill, a linguistics professor at the University of Sussex, said some words change their meanings and others don't because'there are lots of things going on'. 'As our lives change, we need words for different things, so some meanings go out of use (think of different types of horse-drawn carriage) and new ones come in (think of technology, like mobile phones and computers),' she told MailOnline. 'Languages deal with these things in different ways, sometimes using existing words with related meanings to refer to new things.' MailOnline has scoured the historical records and dictionaries to find more than 40 words that once had a very different definition.

In a video game year dominated by dark, bloody fantasy adventures – and continued job losses and studio closures – it was a cute robot that stole the night at the 2025 Bafta video game awards. Sony's family-friendly platformer Astro Bot won in five categories at yesterday evening's ceremony, including best game and game design. The rest of the awards were evenly spread across a range of Triple A and independent titles. Oil rig thriller Still Wakes the Deep was the next biggest winner with three awards: new intellectual property, performer in a leading role and performer in a supporting role. Clearly actors looking for Bafta-winning roles need look no further than the North Sea.

So far, to showcase BigML's upcoming Object Detection release, we have demonstrated how you can annotate images on the platform, we have covered an example use case to detect cats and dogs and shared how to execute the newly available features by using the BigML Dashboard, as well as another example to build a plant disease detector. In contrast, this installment demonstrates how to perform Object Detection by calling the BigML REST API. Briefly, Object Detection is a supervised learning technique for images that not only shows where an object is in the image, but it also can show where instances of objects from multiple classes are located in the image. Let's jump in and see how we can put it to use programmatically. Before using the API, you must set up your environment variables.

All the sessions from Transform 2021 are available on-demand now. As part of Transform 2021, we're excited to announce the full list of nominees for the third annual Women in AI Awards. While only a handful will ultimately be chosen as winners across the five categories, we consider all the women below to be the trailblazers and innovators steadily advancing the vital contribution of women in AI. The Awards are part of VentureBeat's continuing commitment to supporting diversity and inclusion in AI. This year that commitment includes featuring more women and people of color across the conference content, and in our editorial coverage.

Often while developing Natural Language Processing models, we find it difficult to find relevant data. Previously, while developing our Intent Classifier, we used the CLINC150 Dataset that had 100 samples for 150 different classes. But, what if we needed even more samples? One more similar scenario was when I was working on a contextual assistant with Rasa. While creating the training data from scratch, I'd have to imagine different samples for each intent or ask my friends for some help.

Machine learning algorithms have hyperparameters that allow you to tailor the behavior of the algorithm to your specific dataset. Hyperparameters are different from parameters, which are the internal coefficients or weights for a model found by the learning algorithm. Unlike parameters, hyperparameters are specified by the practitioner when configuring the model. Typically, it is challenging to know what values to use for the hyperparameters of a given algorithm on a given dataset, therefore it is common to use random or grid search strategies for different hyperparameter values. The more hyperparameters of an algorithm that you need to tune, the slower the tuning process.

Register to attend this Webinar and see how the digital MRO experts Ramco have utilised the latest technological advancements to digitize every aspect of an end to end aircraft MRO process by leveraging AI/ML, Mobility, BOTS, OCR and API based EDIs. Using demos of the Next-Gen Integrated solutions, Ramco will also focus on the benefits of digital processes such as how digital task cards and the use of AI to manage non-routines can eliminate manual repetitive tasks for mechanics and engineers, and assist them to detect exceptions and anomalies whilst performing their tasks. You will see how the adoption of digital tools and processes allows MROs and airlines to accommodate more jobs and deliver better quality work whilst using the same resources. The Webinar begins with the Ramco experts providing an overview of the digital technology / information revolution and compares these solutions against traditional legacy systems. As you will see, the use of digital solutions and processes allows airlines and MROs to take advantage of the rapid advances in technology and provides them with MRO M&E Software that is scalable, future-proof, and provides the support needed to expand or provide different MRO services.

Venture capitalists are the startup experts, the ones who have their finger on the pulse of which fledgling companies will boom and which will bust. As part of Business Insider Prime's comprehensive coverage of the startups that will strike gold in 2019, we asked VCs to name the startups they think are going to be hot this year. They told us about companies they currently have in their portfolios, as well as ones they haven't put any money into yet but are at the center of positive news. And from those discussions, one particular group of startups came up repeatedly: those that specialize in artificial intelligence tech. From AI robots to software that uses machine learning to automate tasks, Silicon Valley is chock full of AI-focused startups.