AI safety is a contentious topic. While some prominent figures of the AI community have argued that destructive general artificial intelligence (AI) is on the horizon, others derided their warning as a marketing stunt to sell large language models (LLMs). "If the call for'AI safety' is couched in terms of protecting humanity from rogue AIs, it very conveniently displaces accountability away from the corporations scaling harm in the name of profits," tweeted Emily Bender, a professor of computational linguistics at the University of Washington. Focusing on potential future harm from ever more powerful AI systems distracts from harm that is already happening today. Most of us do not set out to make software that is actively harmful.

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Today's text-entry tools offer a plethora of interface technologies to support users in a variety of situations and with a range of different input methods and devices.16 Recent hardware developments have enabled remarkable innovations, such as virtual keyboards that allow users to type in thin air, or to use their body as a surface for text entry. Similarly, advances in machine learning and natural language processing have enabled high-quality text generation for various purposes, such as summarizing, expanding, and co-authoring. As these technologies rapidly develop, there has been a rush to incorporate them into existing systems, often with little thought for the interactivity problems this may cause. The use of large language models (LLMs) to speed up text generation and improve prediction or completion models is becoming increasingly commonplace, with enormous theoretical efficiency savings;29 however, the implementation of these LLMs into text-entry interfaces is crucial to realizing their potential.

The Washington Post is partnering with OpenAI to bring its reporting to ChatGPT. The two organizations did not disclose the financial terms of the agreement, but the deal will see ChatGPT display summaries, quotes and links to articles from The Post when users prompt the chatbot to search the web. "We're all in on meeting our audiences where they are," said Peter Elkins-Williams, head of global partnerships at The Post. "Ensuring ChatGPT users have our impactful reporting at their fingertips builds on our commitment to provide access where, how and when our audiences want it." The Post is no stranger to generative AI. In November, the publisher began using the technology to offer article summaries.

Google Messages has started rolling out sensitive content warnings for nudity after first unveiling the feature late last year. The new feature will perform two key actions if the AI-based system detects message containing a nude image: it will blur any of those photo and trigger a warning if your child tries to open, send or forward them. Finally, it will provide resources for you and your child to get help. All detection happens on the device to ensure images and data remain private. Sensitive content warnings are enabled by default for supervised users and signed-in unsupervised teens, the company notes.

As AI agents start to take over business processes that have typically been the responsibility of humans, many of those agents will have to sign in to multiple systems to complete their tasks securely. To help enterprises scalably manage that challenge to modern credential management best practices, 1Password -- a company widely known for its password management solution -- has announced the addition of agentic AI security capabilities to its Extended Access Management Platform (XAM). During the past year, there's been lots of talk about AI potentially taking over many jobs. Bill Gates recently predicted that only three jobs will survive: biologists, energy experts, and the coders of AI itself (he also told Jimmy Fallon that we won't want to watch computers play baseball). However, given the extent to which most humans have to log in to multiple systems to get their jobs done -- sometimes even for just one task -- who will manage the credentials securely for those AI agents as they start to proliferate?

The unredacted report was circulated inside the Trump White House in recent weeks, according to its authors. TIME viewed a redacted version ahead of its public release. The White House did not respond to a request for comment. Today's top AI datacenters are vulnerable to both asymmetrical sabotage--where relatively cheap attacks could disable them for months--and exfiltration attacks, in which closely guarded AI models could be stolen or surveilled, the report's authors warn. "You could end up with dozens of datacenter sites that are essentially stranded assets that can't be retrofitted for the level of security that's required," says Edouard Harris, one of the authors of the report.

OpenAI, in an email to TIME on Monday, wrote that its newest models, the o3 and o4-mini, were deployed with an array of biological-risk related safeguards, including blocking harmful outputs. The company wrote that it ran a thousand-hour red-teaming campaign in which 98.7% of unsafe bio-related conversations were successfully flagged and blocked. "We value industry collaboration on advancing safeguards for frontier models, including in sensitive domains like virology," a spokesperson wrote. "We continue to invest in these safeguards as capabilities grow." Inglesby argues that industry self-regulation is not enough, and calls for lawmakers and political leaders to strategize a policy approach to regulating AI's bio risks.

ChatGPT essentially kicked off the generative AI craze. Since then, an array of other AI chatbots have popped up. But rather than rest on its laurels, ChatGPT continues to grow and innovate. Also: How to use ChatGPT: A beginner's guide to the most popular AI chatbot In just the past couple of months, OpenAI has introduced several new skills that show why its AI is still the king of the chatbots. Here are three of the latest and coolest new features.

In 1948, the founder of information theory, Claude Shannon, proposed modelling language in terms of the probability of the next word in a sentence given the previous words. These types of probabilistic language models were largely derided, most famously by linguist Noam Chomsky: "The notion of'probability of a sentence' is an entirely useless one." In 2022, 74 years after Shannon's proposal, ChatGPT appeared, which caught the attention of the public, with some even suggesting it was a gateway to super-human intelligence. Going from Shannon's proposal to ChatGPT took so long because the amount of data and computing time used was unimaginable even a few years before. ChatGPT is a large language model (LLM) learned from a huge corpus of text from the internet.