Hugging Face has collected $235 million in an investment round that includes contributions from Amazon, IBM, Google, Nvidia, Salesforce, AMD, Intel and Qualcomm. The New York-based startup creates and distributes open-source tools for artificial intelligence development, carving an AI-centric niche similar to the more general programming approach taken by the Microsoft-owned GitHub. The incoming cash infusion — earmarked for talent recruitment — gives Hugging Face a lofty $4.5 billion valuation that experts say indicates momentum for open source in what has to date been a highly competitive AI sector. Continue reading Big Tech Firms Propel Hugging Face to $4.5 Billion Valuation

Nvidia announced Q2 revenue of $13.51 billion, a 101 percent year-over-year increase that sets a new company record. The data center division — which accounts for the majority of AI chip sales — also established a new benchmark: $10.32 billion in Q2, a 171 percent leap over the prior fiscal Q2. Nvidia projects that revenue for the current quarter will hit $16 billion — about $3.5 billion above analysts’ expectations. Nvidia chips power OpenAI’s popular ChatGPT and other generative AI and cloud computing apps from companies including Amazon, Google, Meta Platforms, Microsoft and VMWare. Continue reading Demand for AI Chips Drives Nvidia to Revenue Record in Q2

Meta Platforms is releasing SeamlessM4T, the world’s “first all-in-one multilingual multimodal AI translation and transcription model,” according to the company. SeamlessM4T can perform speech-to-text, speech-to-speech, text-to-speech, and text-to-text translations for up to 100 languages, depending on the task. “Our single model provides on-demand translations that enable people who speak different languages to communicate more effectively,” Meta claims, adding that SeamlessM4T “implicitly recognizes the source languages without the need for a separate language identification model.” Continue reading Meta’s Multimodal AI Model Translates Nearly 100 Languages

Newsrooms can potentially benefit greatly from AI language models, but at this early stage they’ve begun laying down boundaries to ensure that rather than having their data coopted to build artificial intelligence by third parties they’ll survive long enough to create models of their own, or license proprietary IP. As industries await regulations from the federal government, The New York Times has proactively updated its terms of service to prohibit data-scraping of its content for machine learning. The move follows a Google policy refresh that expressly states it uses search data to train AI. Continue reading The New York Times Looks to Protect IP Content in Era of AI

After announcing a partnership with OpenAI last month, the Associated Press has issued guidelines for using generative AI in news reporting, urging caution in using artificial intelligence. The news agency has also added a new chapter in its widely used AP Stylebook pertaining to coverage of AI, a story that “goes far beyond business and technology” and is “also about politics, entertainment, education, sports, human rights, the economy, equality and inequality, international law, and many other issues,” according to AP, which says stories about AI should “show how these tools are affecting many areas of our lives.” Continue reading AP Is Latest Org to Issue Guidelines for AI in News Reporting

OpenAI has shared instructions for training to handle content moderation at scale. Some customers are already using the process, which OpenAI says can reduce time for fine-tuning content moderation policies from weeks or months to mere hours. The company proposes its customization technique can also save money by having GPT-4 do the work of tens of thousands of human moderators. Properly trained, GPT-4 could perform moderation tasks more consistently in that it would be free of human bias, OpenAI says. While AI can incorporate biases from training data, technologists view AI bias as more correctable than human predisposition. Continue reading OpenAI: GPT-4 Can Help with Content Moderation Workload

The White House has unveiled plans for a two-year competition with $18.5 million in prizes for artificial intelligence coders who can come up with ways to identify and fix software vulnerabilities in critical infrastructure code, such as that which runs the Internet. Styled AIxCC, the AI Cyber Challenge is being led by the Defense Advanced Research Projects Agency (DARPA) with support from companies including Anthropic, Google, Microsoft and OpenAI, who have committed to lending expertise and technology. Up to seven small businesses will potentially receive $1 million each to participate. Continue reading White House Launches $20 Million AI Cybersecurity Challenge

Meta Platforms is releasing AudioCraft, a generative AI framework that creates “high-quality,” “realistic” audio and music from text prompts. AudioCraft consists of three models: MusicGen, AudioGen and EnCodec, all of which Meta announced it is open-sourcing. Released in June, MusicGen was trained on Meta-owned and licensed music, and generates music from text prompts, while AudioGen, which was trained on public domain samples, generates sound effects (like honking horns and barking dogs) from text prompts. The EnCodec decoder allows “higher quality music generation with fewer artifacts,” according to Meta. Continue reading Meta’s AudioCraft Turns Words into Music with Generative AI

Meta Platforms is amping up its AI play, with plans to launch a suite of personality-driven chatbots as soon as next month. The company has been developing the series of artificially intelligent character bots with a goal of using them to boost engagement with its social media brands by making them available to have “humanlike discussions” on platforms including Facebook, Instagram and WhatsApp. Internally dubbed “personas,” the chatbots simulate characters ranging from historical figures like Abraham Lincoln to a surfer dude that dispenses travel advice. Continue reading Meta Plans Personality-Driven Chatbots to Boost Engagement

Advancing President Biden’s push for responsible development of artificial intelligence, top AI firms including Anthropic, Google, Microsoft and OpenAI have launched the Frontier Model Forum, an industry forum that will work collaboratively with outside researchers and policymakers to implement best practices. The new group will focus on AI safety, research into its risks, and disseminating information to the public, governments and civil society. Other companies involved in building bleeding-edge AI models will also be invited to join and participate in technical evaluations and benchmarks. Continue reading Major Tech Players Launch Frontier Model Forum for Safe AI

Microsoft Cloud drove record sales and profits for Q2, which saw a year-over-year revenue gain of 8 percent to $56.2 billion for April through June. Net income topped $20 billion, a 20 percent gain that beat analyst expectations and the company’s own estimates. Microsoft Cloud revenue for Q2 was up 21 percent, to $30.3 billion. And the company is beginning to see the results of its investments in artificial intelligence. Q2 is Microsoft’s second record-setting quarter this year, topping the three-month high of $52.9 billion in Q1. The previous profit record was $18.8 billion in Q4 2021. Continue reading Microsoft Q2 Marks a Quarterly Sales Record of $56.2 Billion

President Biden has secured voluntary commitments from seven leading AI companies who say they will support the executive branch goal of advancing safe, secure and transparent development of artificial intelligence. Executives from Amazon, Anthropic, Google, Inflection, Meta, Microsoft and OpenAI convened at the White House on Friday to support the accord, which some criticized as a half measure, claiming the companies have already embraced independent security testing and a commitment to collaborating with each other and the government. Biden stressed the need to deploy AI altruistically, “to help address society’s greatest challenges.” Continue reading Top Tech Firms Support Government’s Planned AI Safeguards

Microsoft is launching Bing Chat Enterprise, a business-focused version of Bing Chat with data privacy and governance controls. The company is also introducing Visual Search in Bing Chat and new AI features for Azure, revealed at its Inspire 2023 conference this week. In addition, the cloud-based Copilot plan “combines the power of large language models with your data in the Microsoft Graph and Microsoft 365 apps” for a new way of working using only natural language prompts. Currently in early access, Copilot will be priced at $30 per user per month for Microsoft 365 E3, E5, Business Standard and Business Premium subscribers. Continue reading Microsoft Intros Bing Chat Enterprise, New AI Tools for Azure

Apple is reportedly developing tools it could use to enter the artificial intelligence space, joining rivals such as Microsoft and Google, which have already released popular products. In Cupertino, the company is said to have built a framework for large language models, which power AI-based chatbot offerings similar to Google’s Bard and OpenAI’s ChatGPT. Called Ajax, the platform is the basis for what is referred to inside the company as Apple GPT. Though Apple has built automation into its products for some time, it could now be preparing to make a direct play for the generative AI market. Continue reading Apple Chatbot ‘Ajax’ Could Be Next Major Player in AI Space

This week, Meta Platforms released Llama 2, the next generation of its open-source large language model that is free for research and commercial use. Llama 2’s pretrained and fine-tuned language models are available in sizes ranging from 7 to 70 billion parameters. Meta also named Microsoft Azure its “preferred partner for Llama 2,” offering it through the Azure AI model catalog for use with cloud-native tools that leverage content filtering and safety features. Meta says Llama 2 is “also optimized to run locally on Windows,” providing developers a seamless workflow across enterprise and consumer platforms. Continue reading Meta Unveils Llama 2 LLM with Microsoft as Preferred Partner