Databricks, a San Francisco-based company focused on cloud data and artificial intelligence, has released a generative AI model called DBRX that it says sets new standards for performance and efficiency in the open source category. The mixture-of-experts (MoE) architecture contains 132 billion parameters and was pre-trained on 12T tokens of text and code data. Databricks says it provides the open community and enterprises who want to build their own LLMs with capabilities previously limited to closed model APIs. Compared to other open models, Databricks claims it outperforms alternatives including Llama 2-70B and Mixtral on certain benchmarks. Continue reading Databricks DBRX Model Offers High Performance at Low Cost

The European Commission has opened five investigations targeting Apple, Google, Meta and Amazon with regard to its new Digital Markets Act (DMA) antitrust rules. Under examination are steering practices with regard to Google and Apple and their app stores, potential “self-preferencing” tactics by Google and Amazon, Meta’s “pay or consent” policy for ad targeting, Apple’s compliance with “user choice” obligations, and also its recent App Store price adjustments for third parties. The vetting is expected to last for 12 months. The DMA was adopted in 2022 and goes into force this May. Continue reading EU’s Digital Markets Act Investigation Targets Big Tech Firms

Google is beginning to extend YouTube TV’s multiview functionality to mobile platforms, with iPhones and iPads added in time for March Madness and Android coming in the months ahead. During early access, some users will see an option to simultaneously watch up to four different, though pre-selected, streams in their “Top Picks for You” section. After selecting multiview, viewers will be able to toggle audio and captioning between streams and can jump in and out of a particular game’s full screen view. YouTube TV announced multiview last month “on all devices that support multiview.” Continue reading YouTube TV Begins Offering Multiview for iPhones and iPads

Since Epic Games debuted the Unreal Editor for Fortnite (UEFN) and Creator Economy 2.0 tools in March 2023, the company says creators have published more than 80,000 UENF islands, and Epic has rewarded creators with more than $320 million in engagement payouts. Now Epic is adding more core features to UEFN: MetaHuman Creator and MetaHuman Animator, which enable the creation and animation of non-playable MetaHuman characters. Epic’s UEFN 2024 roadmap, presented at this week’s Game Developers Conference in San Francisco, includes more camera options for the player-made game platform, including a first-person perspective. Continue reading MetaHuman and Animator Now Available to Fortnite Creators

Deepgram’s new Aura software turns text into generative audio with a “human-like voice.” The 9-year-old voice recognition company has raised nearly $86 million to date on the strength of its Voice AI platform. Aura is an extremely low-latency text-to-speech voice AI that can be used for voice AI agents, the company says. Paired with Deepgram’s Nova-2 speech-to-text API, developers can use it to “easily (and quickly) exchange real-time information between humans and LLMs to build responsive, high-throughput AI agents and conversational AI applications,” according to Deepgram. Continue reading Deepgram’s Speech Portfolio Now Includes Human-Like Aura

Nvidia unveiled what it is calling the world’s most powerful AI processing system, the Blackwell GPU, purpose built to power real-time generative AI on trillion-parameter large language models at what the company says will be up to 25x less cost and energy consumption than its predecessors. Blackwell’s capabilities will usher in what the company promises will be a new era in generative AI computing. News from Nvidia’s GTC 2024 developer conference included the NIM software platform, purpose built to streamline the setup of custom and pre-trained AI models in a production environment, and the DGX SuperPOD server, powered by Blackwell. Continue reading GTC: Nvidia Unveils Blackwell GPU for Trillion-Parameter LLMs

YouTube has added new rules requiring those uploading realistic-looking videos that are “made with altered or synthetic media, including generative AI” to label them using a new tool in Creator Studio. The new labeling “is meant to strengthen transparency with viewers and build trust between creators and their audience,” YouTube says, listing examples of content that require disclosure as “likeness of a realistic person” including voice as well as image, “altering footage of real events or places” and “generating realistic scenes” of fictional major events, “like a tornado moving toward a real town.” Continue reading YouTube Adds GenAI Labeling Requirement for Realistic Video

Apple researchers have gone public with new multimodal methods for training large language models using both text and images. The results are said to enable AI systems that are more powerful and flexible, which could have significant ramifications for future Apple products. These new models, which Apple calls MM1, support up to 30 billion parameters. The researchers identify multimodal large language models (MLLMs) as “the next frontier in foundation models,” which exceed the performance of LLMs and “excel at tasks like image captioning, visual question answering and natural language inference.” Continue reading Apple Unveils Progress in Multimodal Large Language Models

Elon Musk’s xAI has released its Grok chatbot and open-sourced part of the underlying Grok-1 model architecture for any developer or entrepreneur to use for purposes including commercial applications. Musk unveiled Grok in November and announced that it would be publicly released this month. The chatbot itself is available to X social premium members, who can ask the cheeky AI questions and get answers with a snarky attitude inspired by “The Hitchhiker’s Guide to the Galaxy” sci-fi novel. The training for Grok’s foundation LLM is said to include X social posts. Continue reading Grok-1 Architecture Open-Sourced for General Release by xAI

Perplexity is a year-old AI startup whose conversational “answer engine” has gained attention as a potential challenger to conventional search. Two months ago the venture raised $73.6 million in Series B funding from investors including Nvidia and Amazon founder Jeff Bezos via his Bezos Expeditions, resulting in a valuation of about $520 million. Now the company is said to be finalizing another cash infusion that is predicted to double its valuation to roughly $1 billion. The current financing round is reportedly being led by former Y Combinator partner Daniel Gross through his own investment fund. Continue reading AI Startup Perplexity Targets $1B Valuation with New Funding

The Apple WebKit team introduced the initial version of the Speedometer benchmark in 2014. Since then, it has become an industry-wide tool for gauging browser optimization and performance, even as some stakeholders complained that having been developed in the Apple ecosystem, it could not help but exhibit systemic biases that favored Safari. So, Microsoft, Google and Mozilla joined Apple to create Speedometer 3.0, “a new governance benchmark” that aims for neutrality across the architectures used by Google Chrome, Microsoft Edge and Mozilla’s Firefox. Continue reading Apple, Google, Microsoft, Mozilla Team on Speedometer 3.0

Reddit is moving ahead with its IPO and plans to raise between $682 million and $748 million on a fully diluted valuation of between $5.8 billion and $6.4 billion. Although no date has been announced, the IPO is expected to take place sometime this month. According to a Securities and Exchange Commission filing Monday, Reddit says it will offer 22 million 15.3 million Class A common shares and 6.7 million insider shares from investors including CEO Steve Huffman and COO Jen Wong. Pricing will be between $31 and $34 per share. The proposed market cap is $4.9 billion to $5.4 billion. Continue reading Reddit Hopes to Raise $748M in IPO Aimed at $6.4B Valuation

Artificial intelligence stakeholders are calling for safe harbor legal and technical protections that will allow them access to conduct “good-faith” evaluations of various AI products and services without fear of reprisal. More than 300 researchers, academics, creatives, journalists and legal professionals had as of last week signed an open letter calling on companies including Meta Platforms, OpenAI and Google to allow access for safety testing and red teaming of systems they say are shrouded in opaque rules and secrecy despite the fact that millions of consumers are already using them. Continue reading Researchers Call for Safe Harbor for the Evaluation of AI Tools

Google has rolled out an open-source marketing mix model (MMM) called Meridian that aims to help in formulating cross-channel media strategies in the current environment of fragmented media consumption and privacy changes. As marketers contend with Google’s plan to sunset the use of third-party cookies by the end of this year, MMMs — classic tools of yesteryear — “are experiencing a renaissance,” says the search giant. MMMs are statistical analyses companies use to help measure the impact of cross-channel marketing sales. Google says it has “observed more customers turning to MMMs, especially performance and full-funnel marketers.” Continue reading Google Introduces Open-Source Marketing Measurement Tool

Comscore and YouTube have expanded their partnership by integrating Comscore Campaign Ratings (CCR) with YouTube Shorts and In-Feed inventory, making available a range of additional ad data specific to those outlets, across connected TV, mobile and desktop. In the months ahead, the toolkit will also add measurement of Masthead inventory. YouTube has been connected to CCR for standard video inventory and YouTube TV since Q4 2021. YouTube Shorts is a fast-growing part of the Google-owned video ecosystem, averaging over 70 billion daily views, according to YouTube and Comscore. Continue reading YouTube, Comscore Integrate Campaign Ratings with Shorts