Deep Learning
Google's new Gemini 3 "vibe-codes" responses and comes with its own agent
Google today unveiled Gemini 3, a major upgrade to its flagship multimodal model. The firm says the new model is better at reasoning, has more fluid multimodal capabilities (the ability to work across voice, text or images), and will work like an agent. The previous model, Gemini 2.5, supports multimodal input. Users can feed it images, handwriting, or voice. But it usually requires explicit instructions about the format the user wants back, and it defaults to plain text regardless. But Gemini 3 introduces what Google calls "generative interfaces," which allow the model to make its own choices about what kind of output fits the prompt best, assembling visual layouts and dynamic views on its own instead of returning a block of text. Ask for travel recommendations and it may spin up a website-like interface inside the app, complete with modules, images, and follow-up prompts such as "How many days are you traveling?" or "What kinds of activities do you enjoy?" It also presents clickable options based on what you might want next. When asked to explain a concept, Gemini 3 may sketch a diagram or generate a simple animation on its own if it believes a visual is more effective.
Microsoft's Agent 365 Tries to Be the AI Bot Boss
Microsoft's Agent 365 Wants to Help You Manage Your AI Bot Army Microsoft still sees AI agents as the future of work, and the enterprise software giant wants companies to be able to manage those agents just like human employees. A new tool from Microsoft called Agent 365 is designed to help businesses control their growing collection of robotic helpers. Agent 365 is not a platform for making enterprise AI tools; it's a way to manage them, as if they were human employees . Companies using generative AI agents in their digital workplace can use Agent 365 to organize their growing sprawl of bots, keep tabs on how they're performing, and tweak their settings. The tool is rolling out today in Microsoft's early access program.
Gemini 3 Is Here--and Google Says It Will Make Search Smarter
Gemini 3 is skilled at reasoning, generating video, and writing code. Amid talk of an AI bubble, Google notes the new model could help increase search revenue too. Google has introduced Gemini 3, its smartest artificial intelligence model to date, with cutting-edge reasoning, multimedia, and coding skills. As talk of an AI bubble grows, the company is keen to stress that its latest release is more than just a clever model and chatbot--it's a way of improving Google's existing products, including its lucrative search business, starting today. "We are the engine room of Google, and we're plugging in AI everywhere now," Demis Hassabis, CEO of Google DeepMind, an AI-focused subsidiary of Google's parent company, Alphabet, told WIRED in an interview ahead of the announcement.
Long short-term memory and Learning-to-learn in networks of spiking neurons
Guillaume Bellec, Darjan Salaj, Anand Subramoney, Robert Legenstein, Wolfgang Maass
Recurrent networks of spiking neurons (RSNNs) underlie the astounding computing and learning capabilities of the brain. But computing and learning capabilities of RSNN models have remained poor, at least in comparison with artificial neural networks (ANNs). We address two possible reasons for that. One is that RSNNs in the brain are not randomly connected or designed according to simple rules, and they do not start learning as a tabula rasa network. Rather, RSNNs in the brain were optimized for their tasks through evolution, development, and prior experience. Details of these optimization processes are largely unknown. But their functional contribution can be approximated through powerful optimization methods, such as backpropagation through time (BPTT). A second major mismatch between RSNNs in the brain and models is that the latter only show a small fraction of the dynamics of neurons and synapses in the brain. We include neurons in our RSNN model that reproduce one prominent dynamical process of biological neurons that takes place at the behaviourally relevant time scale of seconds: neuronal adaptation.
Worldwide Cloudflare outage disrupts X, ChatGPT, PayPal, Uber, and other sites
When you purchase through links in our articles, we may earn a small commission. Hundreds of websites and online services are currently unavailable due to a major Cloudflare service issue. Another day, another worldwide outage of a critical online service that brings numerous websites (including several high-profile ones) down to their knees. This news comes hot on the heels of last month's Amazon cloud outage, which took down everything from web services to Ring video doorbells to smart beds that cooked their owners . Cloudflare is a US-based company that operates hundreds of data centers, serves as a content delivery network for millions of websites, provides security and DDoS mitigation services for many of those websites, and a lot more.
Chaos online as massive Cloudflare outage cripples half the internet
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The Download: AI-powered warfare, and how embryo care is changing
Plus: Why other industries are keeping such a close eye on Big Tech's job cuts It is July 2027, and China is on the brink of invading Taiwan. Autonomous drones with AI targeting capabilities are primed to overpower the island's air defenses as a series of crippling AI-generated cyberattacks cut off energy supplies and key communications. In the meantime, a vast disinformation campaign enacted by an AI-powered pro-Chinese meme farm spreads across global social media, deadening the outcry at Beijing's act of aggression. Scenarios such as this have brought dystopian horror to the debate about the use of AI in warfare. Military commanders hope for a digitally enhanced force that is faster and more accurate than human-directed combat. But there are fears that as AI assumes an increasingly central role, these same commanders will lose control of a conflict that escalates too quickly and lacks ethical or legal oversight.
Mathematicians say Google's AI tools are supercharging their research
Mathematicians say Google's AI tools are supercharging their research AI tools developed by Google DeepMind are surprisingly effective at assisting mathematical research and could usher in a wave of AI-powered mathematical discovery at a previously unseen scale, say mathematicians who have tested the technology. In May, Google announced an AI system called AlphaEvolve that could find new algorithms and mathematical formulae. The system works by exploring many possible solutions, produced by Google's AI chatbot Gemini. Crucially, though, these are fed to a separate AI evaluator that can filter out the nonsensical solutions that a chatbot inevitably generates . At the time, Google researchers tested AlphaEvolve on more than 50 open mathematical problems and found that, in three-quarters of cases, the system could rediscover the best-known solutions found by humans.