Showing 1–20 of 52
Mercury 2's success signals a potential shift in AI market dynamics, challenging Google's dominance and prompting industry-wide strategic responses. The post Inception Labs’ Mercury 2 AI outperforms Google’s DiffusionGemma: DecryptMedia appeared first on Crypto Briefing.
Mercury 2's success could reshape AI infrastructure, prioritizing parallel processing and altering hardware value in real-time applications. The post Inception Labs’ Mercury 2 outperforms Google’s DiffusionGemma in the race to replace autoregressive AI appeared first on Crypto Briefing.
Both models trade word-by-word generation for parallel denoising. Only one of them does it without losing intelligence in the trade.
The billionaire founder and CEO of the New York-based hedge fund Third Point LLC is deploying tens of millions of dollars into two hyperscaler names. The latest 13F filing from the U.S. Securities and Exchange Commission (SEC) shows that Dan Loeb opened a new stake in Meta (META) in Q1 of this year, accumulating 90,000 […] The post Hedge Fund Billionaire Pours $190,674,000 Into Google, Facebook and Three Stocks That Have Each Exploded Over 2x Year-to-Date appeared first on The Daily Hodl.
Atlantic reporter Alex Reisner recently uncovered four datasets of music being used to train AI models and made them fully searchable for the public. Two of the sets are absolutely enormous at 12 million and 9 million tracks. The other two are much smaller, but still represent a significant amount of training data at over 100,000 songs each. According to Reisner, the sets have been downloaded thousands of times and, while it's impossible to know exactly who has used them, Google and Stability have both confirmed they have in research papers. Some of the sources, like the Free Music Archive dataset, are free to stream for personal use but re … Read the full story at The Verge.
The ARD standard could redefine enterprise AI integration, potentially marginalizing non-compliant tools and boosting major backers' market dominance. The post Google, Microsoft, and Salesforce back new AI software standard to counter OpenAI and Anthropic appeared first on Crypto Briefing.
Enterprises implementing agentic AI face a challenge: Which tools should they allow their agents to use, where can they be found, and how can they be used safely? A new protocol, Agentic Resource Discovery, or ARD, aims to let agents answer those questions for themselves. Behind it are Google, Microsoft, Cisco, Nvidia, Salesforce and others. ARD aims to standardize the way that tools and services are shared across systems within a corporate domain. For example, when investigating a production problem, an agent may want to query engineering documentation and open support tickets, deployment history and observability systems, all of which could be managed by different registries and across different silos. There is no common layer that pulls them together. ARD has been designed to be that layer. It operates across two levels. Catalogs and Registries. In the first, an organization publishes a catalog setting out its available capabilities. The Registries layer act as a form of search engi
Enterprises implementing agentic AI face a challenge: Which tools should they allow their agents to use, where can they be found, and how can they be used safely? A new protocol, Agentic Resource Discovery, or ARD, aims to let agents answer those questions for themselves. Behind it are Google, Microsoft, Cisco, Nvidia, Salesforce and others. ARD aims to standardize the way that tools and services are shared across systems within a corporate domain. For example, when investigating a production problem, an agent may want to query engineering documentation and open support tickets, deployment history and observability systems, all of which could be managed by different registries and across different silos. There is no common layer that pulls them together. ARD has been designed to be that layer. It operates across two levels. Catalogs and Registries. In the first, an organization publishes a catalog setting out its available capabilities. The Registries layer act as a form of search engi
An IT executive changing jobs usually attracts little attention outside a narrow group of people, but Noam Shazeer’s move from Google to OpenAI is as momentous as any high-value soccer transfer. He announced the news in a post on X: “I’m excited to share that I’ll be joining OpenAI and look forward to working with the exceptional team there.” Shazeer initially achieved fame as one of the eight co-authors of the influential AI paper Attention Is All You Need, published when he was working at Google Brain. He is also one of the creators of the transformer technology that lies at the heart of modern AI models. He left Google when the company failed to back his chatbot Meena and was tempted back when Google subsequently bought the company he founded, Character.AI, for $2.7 billion. That company achieved notoriety when it was sued by a grieving mother, who alleged that a Character.AI chatbot had contributed to her son’s death by suicide. The company subsequently settling out of court. Shaze
An IT executive changing jobs usually attracts little attention outside a narrow group of people, but Noam Shazeer’s move from Google to OpenAI is as momentous as any high-value soccer transfer. He announced the news in a post on X: “I’m excited to share that I’ll be joining OpenAI and look forward to working with the exceptional team there.” Shazeer initially achieved fame as one of the eight co-authors of the influential AI paper Attention Is All You Need, published when he was working at Google Brain. He is also one of the creators of the transformer technology that lies at the heart of modern AI models. He left Google when the company failed to back his chatbot Meena and was tempted back when Google subsequently bought the company he founded, Character.AI, for $2.7 billion. That company achieved notoriety when it was sued by a grieving mother, who alleged that a Character.AI chatbot had contributed to her son’s death by suicide. The company subsequently settling out of court. Shaze
Google, Microsoft, OpenAI, and others want to help enterprises demonstrate that their AI applications are behaving themselves through the creation of a new foundation. The Appia Foundation will, it explained rather impenetrably, “establish modular specifications that provide a connecting layer to bridge foundational global standards with practical, trusted assessments across the global AI value chain.” Those specifications will help AI users ascertain whether the systems they are using meet all the obligations that apply to them in the form of standards and regulations, it said. It’s a challenging task with so much regional variation in requirements, and where the EU, for example, is more tightly controlled than the US. The Foundation has established a set of criteria to demonstrate conformity with what is expected. There are two layers: the Requirements and Guidance layers will help users determine what is actually required, while the Assessment Enablement layer will look at how those
Google, Microsoft, OpenAI, and others want to help enterprises demonstrate that their AI applications are behaving themselves through the creation of a new foundation. The Appia Foundation will, it explained rather impenetrably, “establish modular specifications that provide a connecting layer to bridge foundational global standards with practical, trusted assessments across the global AI value chain.” Those specifications will help AI users ascertain whether the systems they are using meet all the obligations that apply to them in the form of standards and regulations, it said. It’s a challenging task with so much regional variation in requirements, and where the EU, for example, is more tightly controlled than the US. The Foundation has established a set of criteria to demonstrate conformity with what is expected. There are two layers: the Requirements and Guidance layers will help users determine what is actually required, while the Assessment Enablement layer will look at how those
Anthropic has joined Frontier, the carbon removal collective founded by Stripe, Google, and Shopify, becoming the first pure-play AI company to participate in the group. The move is part of a new $915 million funding tranche that nearly doubles Frontier’s total pledges to $1.8 billion. The announcement marks Anthropic’s first climate-related commitment, arriving at a […]
Google’s latest and greatest Android version is officially now out in the world and available — but if you’re using any phone other than a Pixel, that doesn’t mean much for you just yet. The reason why is simple: Despite Google officially launching Android 17 and starting to send it out to Android phone-owners this week, it’s up to each individual device-maker to process the software and deliver it to its customers. And outside of Google itself, unfortunately, most Android device-makers are exasperatingly unreliable about making that happen — some of ’em to almost comically bad extremes (insert exaggerated sigh here). Hold the phone, though — ’cause there is some good news here: While we can’t force any Android phone-maker to start treating software support as a priority, we can get creative and find ways to bring interesting new Android features to devices running older Android versions. In fact, all four of the Android 17 features I called out earlier this week can be emulated on any
Google's legal battle underscores the ongoing struggle between tech firms and governments over privacy, potentially reshaping data policies. The post Google fought US warrant for user data on Capitol riot searches appeared first on Crypto Briefing.
Google has unveiled its first smart speaker designed specifically around its Gemini AI, the Google Home Speaker, priced at $99.99 and available for preorder now. It marks the company’s first standalone audio device since the Nest Audio in 2020, and represents a significant leap in conversational capability. Unlike its predecessors, the speaker supports natural-language, multistep […]
Federal agencies are beginning to use AI agents to tackle complex mission-critical processes, Google specialist engineering expert says.
Google's AI agent could streamline ad management, but over-reliance on automation may risk flawed decisions impacting financial outcomes. The post Google launches Ask Ad Manager AI agent built on Gemini appeared first on Crypto Briefing.
What a long, strange trip it’s been. From its inaugural release to today, Android has transformed visually, conceptually and functionally — time and time again. Google’s mobile operating system may have started out scrappy, but holy moly, has it ever evolved. Here’s a fast-paced tour of Android version highlights from the platform’s birth to present. (Feel free to skip ahead if you just want to see what’s new in the most recent Android 17 update.) Android versions 1.0 to 1.1: The early days Android made its official public debut in 2008 with Android 1.0 — a release so ancient it didn’t even have a cute codename. Things were pretty basic back then, but the software did include a suite of early Google apps like Gmail, Maps, Calendar, and YouTube, all of which were integrated into the operating system — a stark contrast to the more easily updatable standalone-app model employed today. loading="lazy" width="400px"> The Android 1.0 home screen and its rudimentary web browser (not yet calle
The ongoing talent migration reshapes AI innovation dynamics, potentially decentralizing power and creating new competitive landscapes. The post Google researcher departs for rival OpenAI, impacting AI race appeared first on Crypto Briefing.
