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 Generative AI


Perturbations Against Unauthorized Data Usage in Diffusion-Based Generative AI

Neural Information Processing Systems

In response, several attempts have been made to protect the original images from such unauthorized data usage by adding imperceptible perturbations, which are designed to mislead the diffusion model and make it unable to properly generate new samples.


Further Analysis of Outlier Detection with Deep Generative Models Ziyu Wang 1,2

Neural Information Processing Systems

The recent, counter-intuitive discovery that deep generative models (DGMs) can frequently assign a higher likelihood to outliers has implications for both outlier detection applications as well as our overall understanding of generative modeling. In this work, we present a possible explanation for this phenomenon, starting from the observation that a model's typical set and high-density region may not conincide. From this vantage point we propose a novel outlier test, the empirical success of which suggests that the failure of existing likelihood-based outlier tests does not necessarily imply that the corresponding generative model is uncalibrated. We also conduct additional experiments to help disentangle the impact of low-level texture versus high-level semantics in differentiating outliers. In aggregate, these results suggest that modifications to the standard evaluation practices and benchmarks commonly applied in the literature are needed.



Anthropic buys Super Bowl ads to slap OpenAI for selling ads in ChatGPT

The Japan Times

Anthropic is going on the offensive against rival OpenAI by spending millions on commercials during Sunday night's National Football League championship game to criticize the latter's plan to sell ads on its ChatGPT chatbot. Anthropic is spending millions of dollars to air commercials during Sunday night's National Football League championship game to slam rival OpenAI for its plan to sell ads on its ChatGPT chatbot, in one of the biggest public spats between the big artificial-intelligence companies. One 30-second spot expected to air on the NBC television network during Super Bowl LX from Anthropic takes a thinly veiled jab at OpenAI's intentions to introduce ads to its AI-powered chatbot, ChatGPT. The commercial features a scrawny twenty-something doing pull-ups in the park, and asking a muscular bystander for advice about achieving six-pack abs. The man replies in a robotic way that suggests he is a chatbot, offering to provide a personalized strength-training plan. But first, he slips in a promotion for shoe inserts that help "short kings stand tall" -- prompting a puzzled response from the twenty-something.



Battle of the chatbots: Anthropic and OpenAI go head-to-head over ads in their AI products

The Guardian

AI rivals Anthropic and OpenAI have launched a war of ads trying to court corporate America during one of the biggest entertainment nights of the year. Ahead of the Super Bowl, Anthropic has launched a series of ads going hard at its rival. For the scrawny 23-year-old who wants a six-pack, a ripped older man who is supposed to depict a chatbot suggests insoles that "help short kings stand tall" because "confidence isn't just built in the gym". And for the man trying to improve communication with his mom: his therapist prescribes "a mature dating site that connects sensitive cubs with roaring cougars" in case he can't fix that relationship. From'nerdy' Gemini to'edgy' Grok: how developers are shaping AI behaviours All four ads end with the same tagline: "Ads are coming to AI. There's no explicit mention of ChatGPT, but the subtext is clear. But he also called the ads "so clearly dishonest" before diving into a lengthy critique on X . "Our most important principle for ads says that we won't do exactly this; we would obviously never run ads in the way Anthropic depicts them," Altman wrote. "We are not stupid and we know our users would reject that." Altman stressed that OpenAI's decision to include ads, announced last month, makes the product more accessible. "We believe everyone deserves to use AI and are committed to free access," he wrote. "Anthropic serves an expensive product to rich people.



In Japan, generative AI takes fake election news to new levels

The Japan Times

Some AI-generated content is easy to spot as fake and is marked as such, but others are convincing enough that anyone scrolling through social media could easily be misled. Two leaders of a fledgling Japanese political party unveil a red logo reminiscent of Chinese Communist Party imagery. Grannies vent in public about what they see as political nonsense. Whatever the outcome of Sunday's Lower House election, the race will be remembered not least for having witnessed the full-blown debut of AI slop in Japanese politics. As more voters in Japan turn to social media for political updates and policy debates, the internet is increasingly looking like a dumping site for fake and dubious news and content. In a time of both misinformation and too much information, quality journalism is more crucial than ever.


Data Kernel Perspective Space Performance Guarantees for Synthetic Data from Transformer Models

arXiv.org Machine Learning

Scarcity of labeled training data remains the long pole in the tent for building performant language technology and generative AI models. Transformer models -- particularly LLMs -- are increasingly being used to mitigate the data scarcity problem via synthetic data generation. However, because the models are black boxes, the properties of the synthetic data are difficult to predict. In practice it is common for language technology engineers to 'fiddle' with the LLM temperature setting and hope that what comes out the other end improves the downstream model. Faced with this uncertainty, here we propose Data Kernel Perspective Space (DKPS) to provide the foundation for mathematical analysis yielding concrete statistical guarantees for the quality of the outputs of transformer models. We first show the mathematical derivation of DKPS and how it provides performance guarantees. Next we show how DKPS performance guarantees can elucidate performance of a downstream task, such as neural machine translation models or LLMs trained using Contrastive Preference Optimization (CPO). Limitations of the current work and future research are also discussed.


Anthropic promises no ads in Claude, upsetting ChatGPT's CEO

PCWorld

Anthropic announced its Claude AI chatbot will remain completely ad-free, contrasting sharply with OpenAI's recent decision to test advertisements in ChatGPT. PCWorld reports that OpenAI CEO Sam Altman criticized Anthropic's stance, calling Claude an "expensive product for the rich" despite Claude also offering free access. This creates a clear market divide between ad-supported and ad-free AI assistants, with Google's Gemini currently aligning with Anthropic's no-ads approach. A few weeks ago, OpenAI announced that it would begin testing display advertisements in ChatGPT responses . Shortly afterwards, Google promised no ads in Gemini (for now) .