Google Sues Chinese Crime Group for Allegedly Using Gemini AI for Mass Phishing Scams
Google alleges a Chinese network weaponized its Gemini AI to create phishing sites that stole millions of credit card numbers and targeted crypto investors.
ars Technica AI·
The fraudsters allegedly targeted hundreds of thousands of people with Gemini-coded scams sites.
Read full articleGoogle alleges a Chinese network weaponized its Gemini AI to create phishing sites that stole millions of credit card numbers and targeted crypto investors.
Alphabet's investment in SpaceX highlights the potential for tech giants to significantly influence and benefit from the space industry. The post Google’s $900M investment in SpaceX has quietly grown to $100B appeared first on Crypto Briefing.
When I returned to my computer five minutes after giving Gemini a lengthy prompt, I had two things: a functional app in a preview window, and a message about a bug. "~ Channel is unrecoverably broken and will be disposed!" Sounded bad! But right below it was a button to fix the bug. Pretty weird that I just instructed a computer to build a whole app for me with a single prompt, but it needed me to click a button to fix a bug. I did anyway, and in 233 seconds Gemini reported back that it had succeeded, using words like "blockages" and "race conditions." I didn't understand a bit of it. It was thrilling. This was my second or third attempt a … Read the full story at The Verge.
Concept art from Dear Upstairs Neighbors that used to train custom builds of Google’s Veo and Imagen models. | Image: Google DeepMind For all the noise that's been made about how generative AI is poised to revolutionize the filmmaking industry, there haven't really been any projects created with the technology that felt like the sort of entertainment people would pay to see. Most AI firms' video models are still only capable of churning out short bursts of visually inconsistent footage. And some of Hollywood's biggest AI partnerships have suddenly evaporated in ways that make it seem like studios might not be able to rely on the new technology coming out of Silicon Valley. For the most part, short-form video slop appears to be the only thing that major production houses ar … Read the full story at The Verge.
Now available beyond journalists and academics, Pinpoint helps users make sense of giant piles of documents, emails, audio, video, and scans.
The ruling holds that a company that designs, trains, operates, and manages an AI system must assume legal liability for any damages caused by the responses it generates.
Gemini Daily Brief scans your Gmail, Calendar and past Gemini chats to deliver a prioritized morning snapshot—helping you start the day with context, not clutter.
Extremely powerful large language models (LLMs) still operate as though they’re typing on a keyboard, processing workloads in a simple left-to-right fashion. But in locally-run, single-user scenarios, this sequential processing can leave graphics processing units (GPUs) and tensor processing units (TPUs) underutilized. Google is betting that DiffusionGemma can get around this bottleneck. The new experimental open model generates text “exceptionally fast,” creating entire blocks of text simultaneously through diffusion techniques rather than through token-by-token processing. The company says this technique results in 4x faster inference compared to auto-regressive models that rely on sequential processing. It can also save users money. Technology analyst Carmi Levy noted that existing pay-per-token monetization models “penalize the use of less than optimally efficient AI solutions.” But DiffusionGemma “could herald a new generation of task-defined, efficient solutions that can enable e