More Than a Quarter of New Code At Google Is Generated By AI

Google has integrated AI deeply across its operations, with over 25% of its new code generated by AI. CEO Sundar Pichai announced the milestone during the company's third quarter 2024 earnings call. The Verge reports: AI is helping Google make money as well. Alphabet reported $88.3 billion in revenue for the quarter, with Google Services (which includes Search) revenue of $76.5 billion, up 13 percent year-over-year, and Google Cloud (which includes its AI infrastructure products for other companies) revenue of $11.4 billion, up 35 percent year-over-year. Operating incomes were also strong. Google Services hit $30.9 billion, up from $23.9 billion last year, and Google Cloud hit $1.95 billion, significantly up from last year's $270 million. "In Search, our new AI features are expanding what people can search for and how they search for it," CEO Sundar Pichai says in a statement. "In Cloud, our AI solutions are helping drive deeper product adoption with existing customers, attract new customers and win larger deals. And YouTube's total ads and subscription revenues surpassed $50 billion over the past four quarters for the first time." Read more of this story at Slashdot.

SoftBank’s Son Says Artificial Super Intelligence To Exist By 2035

An anonymous reader quotes a report from Reuters: SoftBank CEO Masayoshi Son reiterated his belief in the coming of artificial super intelligence (ASI) on Tuesday, saying it would require hundreds of billions of dollars of investment to realize. Artificial super intelligence will be 10,000 times smarter than a human brain and will exist by 2035, Son told an audience of global business, technology and finance leaders at a conference in Riyadh, Saudi Arabia. Son said he is saving up funds "so I can make the next big move," but did not provide any details as to his investment plans. He predicted that generative AI will require $900 trillion dollars in cumulative capital expenditure in data centers and chips in the future, adding that he thought chip maker Nvidia was undervalued on this basis. Read more of this story at Slashdot.

Local Privilege Escalation Vulnerability Affecting X.Org Server For 18 Years

Phoronix's Michael Larabel reports: CVE-2024-9632 was made public today as the latest security vulnerability affecting the X.Org Server. The CVE-2024-9632 security issue has been present in the codebase now for 18 years and can lead to local privilege escalation. Introduced in the X.Org Server 1.1.1 release back in 2006, CVE-2024-9632 affects the X.Org Server as well as XWayland too. By providing a modified bitmap to the X.Org Server, a heap-based buffer overflow privilege escalation can occur. This security issue is within _XkbSetCompatMap() and stems from not updating the heap size properly and can lead to local privilege escalation if the server is run as root or as a remote code execution with X11 over SSH. You can read the security advisory announcement here. Read more of this story at Slashdot.

OpenAI Builds First Chip With Broadcom and TSMC, Scales Back Foundry Ambition

OpenAI is partnering with Broadcom and TSMC to design its first in-house AI chip while supplementing its infrastructure with AMD chips, aiming to diversify its reliance on Nvidia GPUs. "The company has dropped the ambitious foundry plans for now due to the costs and time needed to build a network, and plans instead to focus on in-house chip design effort," adds Reuters. From the report: OpenAI has been working for months with Broadcom to build its first AI chip focusing on inference, according to sources. Demand right now is greater for training chips, but analysts have predicted the need for inference chips could surpass them as more AI applications are deployed. Broadcom helps companies including Alphabet unit Google fine-tune chip designs for manufacturing and also supplies parts of the design that help move information on and off the chips quickly. This is important in AI systems where tens of thousands of chips are strung together to work in tandem. OpenAI is still determining whether to develop or acquire other elements for its chip design, and may engage additional partners, said two of the sources. The company has assembled a chip team of about 20 people, led by top engineers who have previously built Tensor Processing Units (TPUs) at Google, including Thomas Norrie and Richard Ho. Sources said that through Broadcom, OpenAI has secured manufacturing capacity with Taiwan Semiconductor Manufacturing Company to make its first custom-designed chip in 2026. They said the timeline could change. Currently, Nvidia's GPUs hold over 80% market share. But shortages and rising costs have led major customers like Microsoft, Meta, and now OpenAI, to explore in-house or external alternatives. Read more of this story at Slashdot.

LinkedIn Launches Its First AI Agent To Take On the Role of Job Recruiters

An anonymous reader quotes a report from TechCrunch: LinkedIn, the social platform used by professionals to connect with others in their field, hunt for jobs, and develop skills, is taking the wraps off its latest effort to build artificial intelligence tools for users. Hiring Assistant is a new product designed to take on a wide array of recruitment tasks, from ingesting scrappy notes and thoughts to turn into longer job descriptions, through to sourcing candidates and engaging with them. LinkedIn is describing Hiring Assistant as a milestone in its AI trajectory: it is, per the Microsoft-owned company, its first "AI agent" And one that happens to be targeting one of LinkedIn's most lucrative categories of users (recruiters). LinkedIn said the AI assistant is now live with a "select group" of customers (large enterprises such as AMD, Canva, Siemens and Zurich Insurance among them). It's slated to be rolling out more widely in the coming months. [...] "It's designed to take on a recruiter's most repetitive task so they can spend more time on the most impactful part of their jobs," Hari Srinivasan, LinkedIn's VP of product, said in an interview -- "a big statement," he admitted. The product includes the ability to upload full job descriptions, or just note what you want it to have, along with job postings that you like the look of from other companies or roles. In turn, that becomes a list of qualifications you're looking for, as well as an initial pipeline of candidates that you can interact with -- to look for more potential hires that are similar to some, or less like others -- with algorithms designed to search based on skills rather than other indicators (such as where a person lives or went to school), per Srinivasan. The AI assistant also integrates with third-party application tracking systems, although ultimately, the whole system is trained on LinkedIn data, which spans 1 billion users, 68 million companies and 41,000 skills. LinkedIn said Hiring Assistant is due to get more features soon, such as messaging and scheduling support for interviews, as well as handle follow-ups when candidates have questions before or after interviews. Basically the aim is for it to cover a lot of (time-consuming) admin-style tasks, plus take on some of the thinking, that recruiters have to do daily. Second, unlike many of the other AI features that LinkedIn has released, Hiring Assistant is very squarely aimed at LinkedIn's B2B business, the products it sells to the recruitment industry. "We're really focused on making Hiring Assistant great," said Erran Berger, VP of engineering, in an interview. "This is all bleeding edge, and I mean everything from the experience and how our users are going to interact with it, to the technology that backs it. And so we're really focused on nailing that a lot of the technology we've built is applicable to problems that we're trying to solve for our members and customers. But right now, you know, we really just want to nail this, and then we can figure out where we go from there." Read more of this story at Slashdot.

FCC Chair: Mobile Dead Spots Will End When Space-Based and Ground Comms Merge

Federal Communications Commission Chair Jessica Rosenworcel outlined a vision for universal connectivity last week that merges satellite and ground-based networks. The FCC recently became the first regulator to establish a framework for supplemental coverage from space (SCS). "Satellites may be in our skies, but they are the anchor tenant in our communications future," said Rosenworcel, calling for seamless integration of fiber, cellular, wireless, and satellite infrastructure into a unified network. The vision comes as the FCC's Affordable Connectivity Program recently ended due to funding depletion. Read more of this story at Slashdot.