Amazon is increasingly betting on artificial intelligence as the key to its future growth. The company plans to spend $100 billion on data centers over the next decade — significantly more than it will spend on e-commerce and warehouse infrastructure. This is largely due to market forces. Thirty-year-old Amazon rode the e-retail wave to maturity, and the company’s AWS cloud service is now the new growth engine, driving the firm past $2 trillion in market value last week. The fifth U.S. company to hit that milestone is said to be building a new chatbot it hopes will surpass ChatGPT. Amazon also announced it has hired David Luan, co-founder of AI firm Adept. Continue reading Data and AI Propel Amazon to $2 Trillion Market Capitalization

Ilya Sutskever — who last month exited his post as chief scientist at OpenAI after a highly publicized power struggle with CEO Sam Altman — has launched a new AI company, Safe Superintelligence Inc. Sutskever’s partners in the new venture are his former OpenAI colleague Daniel Levy and Daniel Gross, who founded the AI startup Cue, which was acquired by Apple where Gross continued in an AI leadership role. “Building safe superintelligence (SSI) is the most important technical problem of our​​ time,” the trio posted on the company’s one-page website, stating its goal is to “scale in peace.” Continue reading Sutskever Targets Safe Superintelligence with New Company

OpenAI CEO Sam Altman’s ongoing effort to fund a new initiative to produce chips to power artificial intelligence has graduated from a billion-dollar venture to a trillion dollar undertaking that aims at nothing less than “to reshape the business of chips and AI,” per recent reports. The United Arab Emirates has joined the list of sources of potential funding for the global project, which seeks to remedy the tight supply of AI chips that Altman is said to view as an obstacle to OpenAI’s effort to develop artificial general intelligence, which he defines as “systems that are generally smarter than humans.” Continue reading Sam Altman Is Reportedly Seeking ‘Trillions’ to Fund AI Chips

In a Threads post last week, Meta Platforms CEO Mark Zuckerberg announced that the company’s new frontier is open-source artificial general intelligence (AGI). Meta has united its FAIR and GenAI research teams behind the goal of developing such a platform, which Zuckerberg described as part of the company’s “long-term vision.” “The next generation of services required is building full general intelligence, building the best AI assistants, AIs for creators, AIs for businesses and more,” Zuckerberg said, explaining that will require “advances in every area of AI from reasoning to planning to coding to memory and other cognitive abilities.” Continue reading Meta Combines Research Units to Develop Open-Source AGI

A March research paper by Microsoft has reopened discussion as to whether artificial intelligence is inching toward human reasoning, as the industry grapples with how an AI system can assimilate training data in a way that allows it to generate answers and promulgate ideas that weren’t programmed into it. Asked for a stable way to stack a book, nine eggs, a laptop, a bottle and a nail, the Microsoft AI generated a response researchers say hinted at artificial general intelligence, or AGI, a term used to connote an as yet theoretical type of machine learning that can duplicate human reasoning. Continue reading Microsoft Study: GPT-4 Nearing Artificial General Intelligence

Microsoft researchers have unveiled Kosmos-1, a new AI model the company says analyzes images for content, performs visual text recognition, solves visual puzzles and passes visual IQ tests. It also understands natural language instructions. The new model is what’s known as multimodal AI, which means it uses different instruction sets, from text to audio and video. Mixing media is a key step in building artificial general intelligence (AGI) that can perform tasks in a manner approximating human performance. Examples from a Kosmos-1 research paper show it can effectively analyze images, answering questions about them. Continue reading Microsoft Unveils AI Model That Comprehends Image Content

Artificial intelligence clearly is modeled after humans in that it has revealed itself to be imperfect. In the past week, OpenAI’s ChatGPT has mesmerized the public even as The New York Times tech columnist Kevin Roose famously labeled it “unhinged.” OpenAI CEO Sam Altman is using the moment to clarify the company’s priorities, posting on Friday an apologia-cum-mission statement. If the company is successful at mass deployment of artificial general intelligence (AGI), it “could help us elevate humanity by increasing abundance, turbocharging the global economy, and aiding in the discovery of new scientific knowledge,” Altman wrote. Continue reading OpenAI CEO Details the Pros and Cons of Artificial Intelligence

Alphabet-backed research lab DeepMind last week released a new AI system called Gato that takes a step toward artificial general intelligence, or AGI, technology that enables machines to undertake and learn the same tasks as humans. Described by DeepMind as a “general purpose AI, Gato’s debut coincides with LinkedIn co-founder Reid Hoffman and DeepMind co-founder Mustafa Suleyman securing $225 million to fund Inflection AI, an artificial intelligence company the pair launched earlier this year to simplify communication between humans and computers. Neither investors nor valuation were disclosed. Continue reading DeepMind’s Gato Moves Toward Artificial General Intelligence

At Microsoft’s Build 2020 developer conference, the company debuted a supercomputer built in collaboration with, and exclusively for, OpenAI on Azure. It’s the result of an agreement whereby Microsoft would invest $1 billion in OpenAI to develop new technologies for Microsoft Azure and extend AI capabilities. OpenAI agreed to license some of its IP to Microsoft, which would then sell to partners as well as train and run AI models on Azure. Microsoft stated that the supercomputer is the fifth most powerful in the world. Continue reading Microsoft Announces Azure-Hosted OpenAI Supercomputer

The U.S. has long been dominant in technology, but China, the world’s second largest economy, has made huge investments in several sectors, threatening American hegemony. The Trump administration is battling that with tariffs and export controls and is currently considering ways to hinder China from making its own high-end semiconductors. That’s one of the technologies at stake, in addition to 5G, artificial intelligence, quantum computing and autonomous vehicles. China also aims to control international tech standards. Continue reading China Battles for Dominance in Tech Sectors, Standardization

With Sam Altman as chief executive, OpenAI, the nonprofit artificial intelligence lab he founded with Elon Musk, has become a for-profit company pursuing investments. In fact, Altman, who stepped down as head of Y Combinator, just inked an impressive $1 billion contract with Microsoft. With Microsoft as a marquee investor, OpenAI will now pursue its lofty goal of creating artificial general intelligence (AGI), a system that can mimic the human brain. Alphabet’s DeepMind lab is also pursuing the creation of AGI. Continue reading Microsoft Invests in OpenAI to Pursue Challenging AI Goal

Two things you may be tired of hearing about by now: AI and blockchain. However, we would be remiss if we didn’t mention a unique and ambitious project marrying the two to challenge the power of the giants of the AI Age. SingularityNET is a blockchain-powered “Internet of AI” where AI and machine learning applications can be created, combined, and “rented” to solve problems as part of a decentralized marketplace powered by blockchain. This blog post from one of the founders of SingularityNET digs deeper, but it’s a BYOGS (“bring your own grain of salt”) kind of party. Continue reading SingularityNET: Where Artificial Intelligence Meets Blockchain

Elon Musk, Bill Gates and Stephen Hawking are among those that have raised concerns regarding our pursuit of artificial intelligence, while Musk has recently gone so far to suggest that AI presents “more risk than North Korea” and should be regulated, like “everything (cars, planes, food, drugs, etc.) that’s a danger to the public.” Our colleague Yves Bergquist, director of ETC’s Data & Analytics Project, published a compelling rebuttal on Medium this week, in which he clearly defines “narrow AI” and “artificial general intelligence” in order to provide additional context regarding the evolution of AI applications and their numerous possibilities. Continue reading In Response to Elon Musk and His Concerns About AI Safety