AI-startup Inflection has unveiled a new foundation LLM (large language model) to power its Pi chatbot. Inflection-1 approximates OpenAI’s GPT-3.5 in terms of size and functionality, which puts it on a par with ChatGPT insofar as model training. Inflection claims its LLM exceeds some benchmarks when tested against that competing system, as well as Meta Platforms’ LLaMA, DeepMind’s Chinchilla and Google’s PaLM-540B. Pi is short for Personal Intelligence, and Inflection compiled its LLM with a goal of creating an emotive AI whose conversation provides a reasonable facsimile of empathy and human-like sensibilities. Continue reading Inflection Shares Test Results for Its First AI Language Model

Amazon Web Services (AWS) is investing $100 million to fund a global AI accelerator, aiming to link its machine learning initiatives with experts, customers and partners worldwide. Twilio, Highspot, Lonely Planet and Ryanair are among the first companies to get onboard with the AWS Generative AI Innovation Center to develop new applications. “Through free workshops, engagements and training, AWS will help customers imagine and scope the use cases that will create the greatest value for their businesses, based on best practices and industry expertise,” the company explains. Continue reading AWS Invests $100 Million in Generative AI Innovation Center

Senate Majority Leader Chuck Schumer unveiled his approach toward regulating artificial intelligence, beginning with nine listening sessions to explore topics including AI’s impact on the job market, copyright, national security and “doomsday scenarios.” Schumer’s plan — the SAFE (Security, Accountability, Foundations, Explainability) Innovation framework — isn’t proposed legislation, but a discovery roadmap. Set to begin in September, the panels will draw on members of industry, academia and civil society. “Experts aren’t even sure which questions policymakers should be asking,” said Schumer of the learning curve. “In many ways, we’re starting from scratch.” Continue reading Schumer Shares Plan for SAFE AI Senate Listening Sessions

IBM and Adobe are expanding their partnership to help enterprise clients accelerate their content supply chains using artificial intelligence including Adobe Sensei GenAI, released in March, and Adobe Firefly, now in beta, as well as Adobe’s generative AI models. IBM says it will create a portfolio of Adobe-specific consulting services. Leveraging Adobe’s AI solutions and IBM Consulting services, the companies aim to “help clients build an integrated content supply chain ecosystem that drives collaboration, optimizes creativity, increases speed, automates tasks and enhances stakeholders’ visibility across design and creative projects.” Continue reading IBM and Adobe Advance AI Content Workflow for Enterprise

Vimeo is leveraging artificial intelligence to automate video editing, and says its new AI suite of tools enables the creation of “a fully produced video in minutes by generating scripts from text prompts, recording videos in one take, and editing content as easily as a Word doc,” the company claims. Features include recording using a built-in screen teleprompter and the ability to quickly delete unwanted filler words (“ums” and “uhs”) and long pauses. The video hosting and sharing platform is rolling out the AI tools in July as part of the $20 per month standard subscription. Continue reading Vimeo Says Its AI Makes Video as Easy to Edit as Word Docs

Snorkel AI is offering new capabilities to help companies curate and prep data for generative artificial intelligence. Formed in 2015, Snorkel AI has been developing software for data-centric AI. Its best known product is Snorkel Flow, which helps enterprise clients build and deploy AI applications efficiently using programmatic labeling to automate the process of creating training data for AI models. Now Snorkel AI’s Foundation Model Data Platform is going beyond programmatic labeling with two new core solutions: Snorkel GenFlow for building generative AI applications and Snorkel Foundry for developing custom LLMs with proprietary data. Continue reading Snorkel AI Debuts Products for Model Training, Development

Meta Platforms has unveiled Voicebox, an AI model that can produce high-quality audio clips and edit pre-recorded audio. It also uses artificial intelligence for speech generation efforts, using what Meta calls “in-context learning” to accomplish tasks it was not specifically trained for. The company says Voicebox is first in class with this type of generalized learning for audio. Untrained tasks include sampling, stylizing and editing. As an editor, it can isolate and remove sounds like car horns and background animal noise while preserving the content and style of the source audio. The multilingual model generates speech in six languages. Continue reading Meta Creates Voicebox Generative AI Model for Audio Synth

Meta Platforms has debuted what’s being called “ChatGPT for audio.” MusicGen is an AI music generator that can create tunes from natural language or song snippets. The company says MusicGen was trained on 20,000 hours of music, including 10,000 hours of “high-quality” licensed songs and 390,000 instrumental tracks. Meta released MusicGen on GitHub this past weekend, and is currently demoing the app on Facebook’s Hugging Face page. Visitors can generate tunes by describing the sound they want. Among Meta’s prompts: “80s driving pop song with heavy drums and synth pads in the background.” Continue reading Meta’s MusicGen AI Works with Language and Song Prompts

Entertainment and communications leaders explored the impact of artificial intelligence and anticipated the larger changes ahead at the inaugural Synthetic Media Summit, presented by the Entertainment Technology Center at USC in partnership with NAB Amplify, SMPTE and sponsor Wizeline, in conjunction with the USC School of Cinematic Arts and USC Annenberg School for Communication and Journalism. Speakers addressed how new technology will make VFX cheaper and faster for studios, while for indies it will open new frontiers. Teaming AI with tools such as Unreal Engine is expected to level the playing field and launch a new era of virtual production. Continue reading Thought Leaders Analyze AI at ETC Synthetic Media Summit

Meta Platforms continues to make progress on a mission to develop artificial intelligence that can teach itself to learn how the world works. Chief AI Scientist Yann LeCun has taken a special interest in developing the new model, called Image Joint Embedding Predictive Architecture, or I-JEPA, which learns by building an internal representation of the outside world and analyzing image abstracts instead of comparing pixels. The approach allows AI techto learn more like humans do, with their ability to figure out complex tasks and adapt to new situations. Continue reading Meta Develops Computer Vision AI That Learns Like Humans

Amazon has tapped artificial intelligence to summarize some of its product reviews. The feature, currently being tested, sifts through customer reviews to create lists of what purchasers like and dislike. The summaries carry the disclaimer “AI-generated from the text of customer reviews.” The move comes as Amazon is also deploying AI to weed out “fake” reviews supplied by “review brokers” who are also now able to leverage the power of AI. Amazon, which has identified phony reviews as a major problem, now uses machine learning models to detect fraudulent behavior by analyzing thousands of data points. Continue reading Amazon Uses AI to Summarize Legit Reviews and Flag Fakes

Salesforce has launched AI Cloud, adding generative AI across all its sales, service, marketing, commerce and IT tools. The AI Cloud suite for enterprise is built around Einstein, which Salesforce says is the first AI for CRM, and its new Einstein GPT Trust Layer, designed to deter large-language models from retaining sensitive customer data. “This separation of sensitive data from the LLM will help customers maintain data governance controls while still leveraging the immense potential of generative AI,” Salesforce says. The AI Cloud platform integrates Salesforce tools including Data Cloud, Flow, MuleSoft and Tableau and works with third party apps. Continue reading Salesforce Debuts ‘AI Cloud’ Turnkey Generative Tools Suite

Google-backed AI startup Runway has released Gen-2, an early entry among commercially available text-to-video models. Previously waitlisted in limited release, the commercial availability is impactful, since text-to-video is predicted as the next big bump in artificial intelligence, following the explosion of AI use generating text and images. While Runway’s solution may not be ready to serve as a professional video tool, this is the next step in development of tech expected to impact media and entertainment. Filmmaker Joe Russo recently predicted that within the next two years, AI may have the ability to create feature films. Continue reading Runway Makes Next Advance in Consumer Text-to-Video AI

Sam Altman continues to call for coordinated international regulation of artificial intelligence. The OpenAI co-founder and CEO visited Seoul this past weekend to meet with South Korean President Yoon Suk Yeol, who issued a statement saying it is important to act “with a sense of speed” in establishing international standards or face unwanted “side effects.” Altman also virtually delivered a keynote address to Chinese AI researchers at an annual conference hosted by the Beijing Academy of Artificial Intelligence, calling on China to participate in global rulemaking. Continue reading Altman Calls on China to Participate in Global AI Rulemaking

The European Union wants deepfakes and other AI-generated content labeled, and is pressing signatories to its Code of Practice on Online Disinformation to adopt technology that will clearly identify output that is generated or manipulated by machines. “The new AI technologies can be a force for good” that offers “new avenues for increased efficiency and creative expression. But, as always, we have to mention the dark side,” EU values and transparency commissioner Vera Jourova said, citing “new risks and the potential for negative consequences for society.” Continue reading EU Urges Tech Companies to Label All AI-Generated Content