“Gemini is built from the ground up for multimodality — reasoning seamlessly across text, images, video, audio, and code.”
Source : Gemini – Google DeepMind
“Gemini is built from the ground up for multimodality — reasoning seamlessly across text, images, video, audio, and code.”
Source : Gemini – Google DeepMind
“In this short video, hear from Google leaders and AI experts as they introduce you to Gemini — Google’s largest and most capable AI model. It’s built from the ground up to be multimodal — meaning that it’s trained to recognize, understand and combine different types of information, including text, images, audio, video and code. And it’s optimized in three different sizes: Ultra, Pro and Nano. Welcome to the Gemini era.”
via Google
“After Google quietly scrapped a set of in-person events to launch Gemini, its biggest artificial intelligence initiative in a decade, the company has planned a virtual preview of the new AI as soon as this week, said a person with knowledge of the situation. By giving journalists and software developers a first look at some of the technology’s capabilities, Google could relieve some pressure from investors to prove it can catch up to ChatGPT creator OpenAI. Google representatives for weeks have been giving private demonstrations of the technology to business partners but they have said that cloud customers wouldn’t get access to the primary version of Gemini until next year.”
Source : Google Preps Public Preview of Gemini AI After Postponing In-Person Launch Events — The Information
“Découvrez la magie des TPU Google Cloud, y compris une vue exceptionnelle des centres de données où se déroule toute l’action. Nos clients utilisent des Cloud TPU pour exécuter certaines des charges de travail d’IA les plus importantes au monde, et cette puissance ne se résume pas à une simple puce. Dans cette vidéo, découvrez les composants du système TPU : mise en réseau de centres de données, commutateurs de circuits optiques, systèmes de refroidissement à eau, vérification de la sécurité biométrique, etc.”
“As has been the case in similar lawsuits filed against Google, California alleges that Google designed its location tracking system to deceive users into allowing the collection of location data that could be sold to advertisers for Google’s benefit. Even when such collection was disabled, the California suit alleged, data was still collected through other sources; Google was also misleading about users’ ability to opt out of location-based ad targeting, California claims.
« Our investigation revealed that Google was telling its users one thing – that it would no longer track their location once they opted out – but doing the opposite and continuing to track its users’ movements for its own commercial gain. That’s unacceptable, and we’re holding Google accountable with today’s settlement, » said California AG Rob Bonta. ”
Source : Google throws California $93M to make tracking suit go away • The Register
“Google will have to postpone starting its artificial intelligence chatbot Bard in the European Union after its main data regulator in the bloc raised privacy concerns. The Irish Data Protection Commission said Tuesday that the tech giant had so far provided insufficient information about how its generative AI tool protects Europeans’ privacy to justify an EU launch. The Dublin-based authority is Google’s main European data supervisor under the bloc’s General Data Protection Regulation (GDPR). « Google recently informed the Data Protection Commission of its intention to launch Bard in the EU this week, » said Deputy Commissioner Graham Doyle. The watchdog « had not had any detailed briefing nor sight of a data protection impact assessment or any supporting documentation at this point. »”
Source : Google forced to postpone Bard chatbot’s EU launch over privacy concerns – POLITICO
“At the beginning of March the open source community got their hands on their first really capable foundation model, as Meta’s LLaMA was leaked to the public. It had no instruction or conversation tuning, and no RLHF. Nonetheless, the community immediately understood the significance of what they had been given. A tremendous outpouring of innovation followed, with just days between major developments (see The Timeline for the full breakdown). Here we are, barely a month later, and there are variants with instruction tuning, quantization, quality improvements, human evals, multimodality, RLHF, etc. etc. many of which build on each other. Most importantly, they have solved the scaling problem to the extent that anyone can tinker. Many of the new ideas are from ordinary people. The barrier to entry for training and experimentation has dropped from the total output of a major research organization to one person, an evening, and a beefy laptop.”
Source : Google « We Have No Moat, And Neither Does OpenAI »
“Around the same time, Google, OpenAI and other companies began building neural networks that learned from huge amounts of digital text. Dr. Hinton thought it was a powerful way for machines to understand and generate language, but it was inferior to the way humans handled language.
Then, last year, as Google and OpenAI built systems using much larger amounts of data, his view changed. He still believed the systems were inferior to the human brain in some ways but he thought they were eclipsing human intelligence in others. “Maybe what is going on in these systems,” he said, “is actually a lot better than what is going on in the brain.”
As companies improve their A.I. systems, he believes, they become increasingly dangerous. “Look at how it was five years ago and how it is now,” he said of A.I. technology. “Take the difference and propagate it forwards. That’s scary.”
Until last year, he said, Google acted as a “proper steward” for the technology, careful not to release something that might cause harm. But now that Microsoft has augmented its Bing search engine with a chatbot — challenging Google’s core business — Google is racing to deploy the same kind of technology. The tech giants are locked in a competition that might be impossible to stop”
Source : ‘The Godfather of AI’ Quits Google and Warns of Danger Ahead – The New York Times
“Project Zero, Google’s team dedicated to security research, has found some big problems in the Samsung modems that power devices like the Pixel 6, Pixel 7, and some models of the Galaxy S22 and A53. According to its blog post, a variety of Exynos modems have a series of vulnerabilities that could “allow an attacker to remotely compromise a phone at the baseband level with no user interaction” without needing much more than a victim’s phone number. And, frustratingly, it seems like Samsung is dragging its feet on fixing it.”
Source : Google says hackers could silently own your phone until Samsung fixes its modems – The Verge
“There are many reasons you might want to move away from Google, especially in light of some of the recent policy changes regarding Workspaces. Depending on your exact reasons for leaving, there are more or less attractive alternatives to some of Google’s most popular apps. In particular, those can be divided into online web services that, similar to Google, give you access to services via an online account, and self-hosted options like NextCloud and/or apps that can be installed on your own infrastructure, or using instances of your own infrastructure on cloud hosting or web hosting services. These options are attractive for the fact that they allow you to control your own data and maintain the protection of your data. Migrating to these services can be quite easy, whether for email, file sharing, or other services. With these services, it all starts with your domain name.”
Source : How to leave Google apps behind
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