Google is updating its AI search results to display links more prominently after facing criticism from publishers about reduced website traffic. PCWorld reports that the changes include clearer link icons on mobile and desktop, plus new pop-up windows showing source lists with article descriptions and images. These improvements aim to help users better discover web content while addressing concerns about AI Overviews potentially harming publisher visibility. Google is updating how links are displayed in Search's AI results, making them clearer and more prominent, reports The Verge . According to a social media post by Robby Stein, Vice President of Google Search, internal testing shows that the new AI results interface makes it easier for users to find content on the web. New on Search: In AI Overviews and AI Mode, groups of links will automatically appear in a pop-up as you hover over them on desktop, so you can jump right into a website to learn more.

New data shows AI bots pushing deeper into the web, prompting publishers to roll out more aggressive defenses. The viral virtual assistant OpenClaw--formerly known as Moltbot, and before that Clawdbot--is a symbol of a broader revolution underway that could fundamentally alter how the internet functions. Instead of a place primarily inhabited by humans, the web may very soon be dominated by autonomous AI bots. A new report measuring bot activity on the web, as well as related data shared with WIRED by the internet infrastructure company Akamai, shows that AI bots already account for a meaningful share of web traffic. The findings also shed light on an increasingly sophisticated arms race unfolding as bots deploy clever tactics to bypass website defenses meant to keep them out.

We pick the sci-fi novels we're most looking forward to reading this month, from a new Brandon Sanderson to the latest from Makana Yamamoto Do you want to travel to Mars, to an alternate version of 1939 London or even to the very far future? If so, then February's science fiction is for you, with all three flavours on offer from our authors. I'm intrigued by a couple of time-travel novels: in we're time-travelling to save the world from global warming, and in, a time-traveller offers romantic salvation for a lonely immortal woman. I'm also keen to read a new entry in one of my favourite genres, fungal horror, thanks to . And I'm ready for a good debate about whether some of the books featured here are science fiction at all - check out new offerings from Brandon Sanderson and Francis Spufford and see what you think.

The IPPR recommended standardised labels for AI-generated news, showing what information had been used to create those answers. The IPPR recommended standardised labels for AI-generated news, showing what information had been used to create those answers. AI-generated news should carry'nutrition' labels, thinktank says AI-generated news should carry "nutrition" labels and tech companies must pay publishers for the content they use, according to a left-of-centre thinktank, amid rising use of the technology as a source for current affairs . The Institute for Public Policy Research (IPPR) said AI firms were rapidly emerging as the new "gatekeepers" of the internet and intervention was needed to create a healthy AI news environment. It recommended standardised labels for AI-generated news, showing what information had been used to create those answers, including peer-reviewed studies and articles from professional news organisations.

Music publishers sue Anthropic for $3 billion over'flagrant piracy' The suit accuses the company of illegally downloading 20,000 songs to train Claude. A group of music publishers led by Concord Music Group and Universal Music Group Anthropic, . These songs were then allegedly fed into the chatbot Claude for training purposes. There are some iconic tunes named by Universal in the suit, including tracks by The Rolling Stones, Neil Diamond and Elton John, among many others. Concord is an independent publisher that handles artists like Common, Killer Mike and Korn.

Apple could unveil Gemini-powered Siri in Feb. UK wants to give web publishers a'fairer' deal with Google's AI overviews It's recommending measures including an'opt out' and proper attribution. The UK's Competition and Markets Authority (CMA) is recommending measures to give publishers more control over how their content is used in Google's AI overviews. The aim is to "provide a fairer deal for content publishers, particularly news organizations," the CMA's chief executive Sarah Cardell said in a press release . With Google accounting for more than 90 percent of search inquiries in the UK, the CMA recently designated the company with "strategic market status" for search under the Digital Market Act. That allows the regulator to apply "conduct requirements" on Google to promote competition and avoid antitrust issues.

Spike-timing-dependent plasticity (STDP) provides a biologically-plausible learning mechanism for spiking neural networks (SNNs); however, Hebbian weight updates in architectures with recurrent connections suffer from pathological weight dynamics: unbounded growth, catastrophic forgetting, and loss of representational diversity. We propose a neuromorphic regularization scheme inspired by the synaptic homeostasis hypothesis: periodic offline phases during which external inputs are suppressed, synaptic weights undergo stochastic decay toward a homeostatic baseline, and spontaneous activity enables memory consolidation. We demonstrate that this sleep-wake cycle prevents weight saturation while preserving learned structure. Empirically, we find that low to intermediate sleep durations (10-20\% of training) improve stability on MNIST-like benchmarks in our STDP-SNN model, without any data-specific hyperparameter tuning. In contrast, the same sleep intervention yields no measurable benefit for the surrogate-gradient spiking neural network (SG-SNN). Taken together, these results suggest that periodic, sleep-based renormalization may represent a fundamental mechanism for stabilizing local Hebbian learning in neuromorphic systems, while also indicating that special care is required when integrating such protocols with existing gradient-based optimization methods.

As intelligent systems are developed across diverse substrates - from machine learning models and neuromorphic hardware to in vitro neural cultures - understanding what gives a system agency has become increasingly important. Existing definitions, however, tend to rely on top-down descriptions that are difficult to quantify. We propose a bottom-up framework grounded in a system's information-processing order: the extent to which its transformation of input evolves over time. We identify three orders of information processing. Class I systems are reactive and memoryless, mapping inputs directly to outputs. Class II systems incorporate internal states that provide memory but follow fixed transformation rules. Class III systems are adaptive; their transformation rules themselves change as a function of prior activity. While not sufficient on their own, these dynamics represent necessary informational conditions for genuine agency. This hierarchy offers a measurable, substrate-independent way to identify the informational precursors of agency. We illustrate the framework with neurophysiological and computational examples, including thermostats and receptor-like memristors, and discuss its implications for the ethical and functional evaluation of systems that may exhibit agency.