The proliferation of websites spewing misinformation as a result of chatbot-powered “content farms” is creating increased concern. Misinformation tracker NewsGuard has identified 49 websites publishing falsehoods authored by generative AI. The discovery is raising questions as to the technology’s role in turbocharging existing fraud techniques. Several of the offending websites sprang up this year, just as AI tools were made widely available for use by the public. Some of the sites take the approach of masquerading as breaking news sites, while others have adopted tactics such as using generic-sounding names. Continue reading AI Content Farms Spreading Fake Stories and Misinformation

PricewaterhouseCoopers U.S. will invest $1 billion to expand and scale its artificial intelligence capabilities over the next three years. The accounting giant will work with Microsoft and OpenAI to automate parts of its tax, audit and consulting services. In addition to scouting for AI software acquisitions, the investment will also fund training for its staff of 65,000 and recruitment of new talent. PwC predicts generative AI will “change business models and reinvent entire industries,” contributing up to $15.7 trillion to the global economy by 2030. Continue reading PwC’s $1 Billion Investment in AI Includes Microsoft, OpenAI

OpenAI is readying ChatGPT Business, a new subscription tier “for professionals who need more control over their data as well as enterprises seeking to manage their end users.” Pricing plans have yet to be disclosed for ChatGPT Business, which will be rolling out in the coming months, but OpenAI said it will adhere to the company’s API’s data usage policies, which means that by default end users’ data would not be used to train its models. The business plan was mentioned as part of an announcement disclosing that all ChatGPT users now have the ability to turn off their chat history. Continue reading OpenAI Previews ChatGPT Business, Unveils Privacy Controls

Generative AI has become a buzzword in the business community, resulting in 65 percent of executives in a recent KPMG survey saying they believe the technology will have a high or extremely high impact on their organization in the next three to five years. Yet most say they are unprepared for immediate adoption, with 60 percent estimating they are 12 to 24 months from implementing their first generative AI solution. Fewer than half of respondents say they have the right technology, talent, and governance in place to successfully implement generative AI. Continue reading Enterprise Anticipates AI Impact but Few Execs Are Prepared

Stability AI has released StableLM, an open source language model that will compete with OpenAI’s GPT-4 to create apps like ChatGPT. The Alpha version of StableLM is available in 3 billion and 7 billion parameters, and the company promises 15 billion to 65 billion parameter models to come. “With the launch of the StableLM suite of models, Stability AI is continuing to make foundational AI technology accessible to all,” the London-based company said. The StableLM models can generate text and code to power various downstream applications with appropriate training. Continue reading Stability AI Debuts Open Source StableLM Foundation Model

Auto-GPT, an open source app that uses OpenAI’s text-generating models, is currently generating a great deal of social media attention. The program can act somewhat autonomously in that it creates its own feedback loop, asking itself a series of questions to help build a more nuanced and complete response to a text prompt. In short, something that would take a user multiple prompts to produce the desired information using ChatGPT could be accomplished using a single request of Auto-GPT, which could independently explore a subject before spitting back a comprehensive response. Continue reading Auto-GPT Generates Social Sizzle, Ushers in Era of AI Agents

There’s been a lot of noise recently about music generated by artificial intelligence tools. The clamor is on multiple fronts: generative mimicry of specific artists’ vocal styles, the potential to put Muzak-style background tunesmiths out of business with potentially cheaper alternatives, and the particulars of takedown orders. The matter came to a head this month after generative AI vocals prompted to sound like Drake and The Weeknd performed a song called “Heart on My Sleeve,” written and produced by a TikTok user. The tune quickly went viral, raising numerous concerns. Continue reading Music Industry Contends with Artificial Intelligence Disruption

Generative AI is expected to play a big role in video game production, increasing development speed, reducing costs, and helping to come up with new ways for players to interact with characters. Major firms including Epic Games, Unity, Ubisoft and Roblox have all announced generative AI integrations for their development kits. Nonplayable characters — foils that act and speak independently — are soon to be wholly AI-powered rather than preprogrammed options. Publicly available AI tools are already commonly used by players creating user-generated game content. However, use of AI to create commercial games is not without controversy. Continue reading Use of AI to Build Video Games is Popular, But Controversial

Tech billionaire Elon Musk has formed a new artificial intelligence company called X.AI Corp., which was reportedly incorporated in Nevada on March 9. Analysts are suggesting that Musk will use the new company to help launch the “everything app” called X that he’s referred to numerous times. Most media reports have also focused on the startup as a potential rival to OpenAI, a company Musk helped found. For now, X.AI has a handful of staff and 10,000 Nvidia GPUs, but the joint chief of Tesla and Twitter is said to be busy assembling investors and recruiting AI researchers and engineers. Continue reading Elon Musk Announces New Artificial Intelligence Venture X.AI

Agencies across the federal government are actively exploring steps to regulate artificial intelligence, seeking to ensure it is safe now while minimizing future harms. The Commerce Department this week issued a public request for comment to be accepted within the next 60 days, then used by U.S. policymakers as they consider new rules for a consumer technology sector that has exploded globally in 2023. The move by Commerce comes on the heels of a scathing advisory by the Federal Trade Commission, which has been examining ways generative AI could be misused for scams or fraud. Continue reading Federal Government Continues to Grapple with AI Guidelines

Amidst calls to put the brakes on large language model development, OpenAI CEO Sam Altman has hit the global circuit to tout the advantages of artificial intelligence and commercial opportunities with his firm. Altman’s 17-city tour includes stops in Washington D.C., Toronto, Tokyo, Rio De Janeiro, Lagos, London, Paris, Madrid, Brussels, Munich, Tel Aviv, Singapore, Dubai, New Delhi, Jakarta, Seoul and Melbourne. On Monday, Altman met with Japanese Prime Minister Fumio Kishida and other government officials, vowing to collaborate on protecting user privacy and data protection. Continue reading OpenAI’s Altman Talks Up Machine Learning on Global Tour

As China’s tech giants begin releasing ChatGPT-style products, the powerful Cyberspace Administration of China (CAC) has issued a draft of what will become the country’s first set of restrictions for generative AI. Ground rules include limiting content created by AI to that which reflects the core values of socialism and does not subvert state power in text or image, according to the draft. Models should also be trained in a way that does not allow them to generate false information or exhibit bias as to race, ethnicity or gender. The news comes as three Chinese firms release generative AI platforms. Continue reading Chinese Government Drafts New Rules for Generative AI Tech

After many years of academia leading the way in the development of artificial intelligence, the tides have shifted and industry has taken over, according to the 2023 AI Index, a report created by Stanford University with help from companies including Google, Anthropic and Hugging Face. “In 2022, there were 32 significant industry-produced machine learning models compared to just three produced by academia,” the report says. The shift in influence is attributed mainly to the large resource demands — in staff, computing power and training data — required to create state of the art AI systems. Continue reading Report: Enterprise Supplants Academia as Driving Force of AI

Clement Delangue, co-founder and CEO of New York-based Hugging Face, turned a casual invitation to meet with open-source AI stakeholders during a trip to San Francisco into what is being called the “Woodstock of AI.” In a matter of days, the event ballooned to more than 5,000 people hosted at the Exploratorium on March 31. “We just crossed 1,500 registrations for the Open-Source AI Meetup!” Delangue messaged the RSVP list days before the event. “What started with a tweet might lead to the biggest AI meetup in history.” The 8-year-old company is also making headlines for its new HuggingGPT system. Continue reading Hugging Face Rallies Open-Source AI Community at Meetup

A new Goldman Sachs report suggests artificial intelligence could trigger “significant disruption” in the global labor market. In the U.S. and Europe, as many as two-thirds of jobs could become automated at least in part, and generative AI could substitute up to one-fourth of current work. Extrapolating the estimates globally indicates generative AI “could expose the equivalent of 300 million full-time jobs to automation,” the report says. Among U.S. workers, of those occupations that present a natural opportunity for AI assistance, somewhere between 25-50 percent of existing duties can be replaced, the Goldman Sachs research team says. Continue reading Report: 300M Global Workers May See Jobs Impacted by AI