Physical Intelligence, a robot AI startup, has raised $400 million in early funding, attracting high-profile investors like Jeff Bezos, OpenAI, Thrive Capital, and Lux Capital. This latest investment values the startup at $2 billion, underscoring strong interest in AI-driven robotics solutions. Physical Intelligence aims to develop foundational software adaptable across different types of robots, eliminating the need for custom software per specific robotic task.
Global technology giants like Microsoft, Google, Meta, Amazon, and Nvidia are already funnelling billions into AI. Industry estimates from venture capital firm Accel project that AI and cloud tech funding across the US, Europe, and Israel will hit $79.2 billion by the end of 2024. With several startups joining the robotic AI sector, including Vicarious, Universal Robots, and Covariant, competition in this space is intensifying.
Elon Musk recently predicted that at least 10 billion humanoid robots will be available by 2040, with prices ranging from $20,000 to $25,000. His Tesla company showcased the latest Optimus humanoid robot, adding to the anticipation around robotics advancements and automation technologies. Musk’s vision is part of the broader trend pushing the potential for AI-powered robots in everyday life.
Physical Intelligence recently demonstrated its innovative software, named π0, or pi-zero, showing its flexibility by enabling robots to carry out complex household tasks like folding laundry, bagging groceries, and retrieving toast from a toaster. This achievement highlights the startup’s strides toward building a universal robot software platform, with potential impacts on industries from home automation to logistics.
Aravind Srinivas, CEO of AI search company Perplexity, offered to step in and support New York Times operations amid a looming strike by the newspaper’s tech workers. The NYT Tech Guild announced the planned strike for November 4 after months of seeking better pay and working conditions. Representing workers involved in software support and data analysis on the business side, the guild has requested a 2.5% annual wage increase and to secure a two-day in-office work policy.
As tensions escalated, New York Times publisher AG Sulzberger called the timing of the strike ‘troubling’, noting that the paper’s election coverage is a public service at a crucial time. Responding publicly, Srinivas offered to help ensure uninterrupted access to the Times’s election news, sparking controversy as critics accused him of ‘scabbing’, a term for working in place of striking employees.
Srinivas clarified that his intent was to provide infrastructure support, not replace journalists, as his company has recently launched its own election information platform. However, the New York Times and Perplexity have been at odds recently, with the Times issuing a cease-and-desist letter last month over Perplexity’s alleged scraping of its content for AI use.
OpenAI, led by Sam Altman, is exploring a move to transition from a non-profit to a for-profit company, according to Bloomberg News. Early discussions with the California attorney general’s office aim to alter OpenAI’s corporate structure, signalling a significant shift in the governance of the AI research pioneer. Originally founded in 2015 as a non-profit, OpenAI’s new direction could open the door to increased investment opportunities.
The potential change in status would mark a strategic shift for the company, which developed the popular AI tool ChatGPT. OpenAI’s connection with Microsoft, which invested heavily in the company, has been a key factor in its growth. In September, reports emerged that OpenAI was already contemplating restructuring as a for-profit benefit corporation, with a new structure aimed at enhancing business opportunities while keeping its non-profit arm involved.
The non-profit branch of OpenAI would continue to exist and hold a minority stake, allowing the organisation to maintain some of its founding mission. This balance could appeal to investors while retaining a foothold in its original purpose of ethical AI development. OpenAI’s funding has also surged recently, including a $6.6 billion funding round, potentially valuing the firm at $157 billion.
With substantial backing and increased investor interest, OpenAI’s shift could cement its position as one of the world’s most valuable private companies. The move reflects broader trends in AI, where companies are aligning profit goals with technological innovation to remain competitive in a rapidly evolving market.
Kioxia, backed by Bain Capital, announced on Tuesday that it anticipates a 2.7-fold increase in demand for flash memory over the next five years, fueled by the surge in AI. After facing significant challenges in the memory chip market, the company is preparing to expand production capacity at its new facility in Kitakami, located in Iwate prefecture, north of Tokyo. Although production at this facility was initially scheduled to start last year, it has been postponed until autumn 2025.
The chipmaker, formerly known as Toshiba Memory, has experienced significant changes, including its separation from the troubled Toshiba Corporation under Bain’s leadership. Kioxia continues to manufacture chips in Yokkaichi, Mie prefecture and recently commenced sample shipments of its latest NAND flash memory. The growing demand for AI is driving investments in server technology and is expected to rejuvenate interest in smartphones and PCs.
Executive Vice President Tomoharu Watanabe stated that the new Kitakami factory, set to come online next autumn, will provide the necessary capacity to meet increasing demand. In February, the Japanese government pledged up to $1.64 billion in subsidies to Kioxia and partner Western Digital to support capacity expansion at both the Yokkaichi and Kitakami facilities. Meanwhile, Bain Capital has cancelled plans for an initial public offering for Kioxia after investors expressed concerns about its valuation. Kioxia’s evolution is being closely watched as Japan aims to revitalise its once-dominant semiconductor industry.
Meta is expanding the reach of its AI models, making its Llama AI series available to US government agencies and private sector partners involved in national security projects. Partnering with firms like Lockheed Martin, Oracle, and Scale AI, Meta aims to assist government teams and contractors with applications such as intelligence gathering and computer code generation for defence needs.
Although Meta’s policies generally restrict using Llama for military purposes, the company is making an exception for these government partners. This decision follows concerns over foreign misuse of the technology, particularly after reports revealed that researchers affiliated with China’s military had used an earlier Llama model without authorisation for intelligence-related applications.
The choice to integrate open AI like Llama into defence remains controversial. Critics argue that AI’s data security risks and its tendency to generate incorrect outputs make it unreliable in military contexts. Recent findings from the AI Now Institute caution that AI tools could be misused by adversaries due to data vulnerabilities, potentially putting sensitive information at risk.
Meta maintains that open AI can accelerate research and enhance security, though US military adoption remains limited. While some big tech employees oppose military-linked projects, Meta emphasises its commitment to strengthening national security while safeguarding its technology from unauthorised foreign use.
Meta has announced an extended ban on new political ads following the United States election, aiming to counter misinformation in the tense post-election period. In a blog post on Monday, the Facebook parent company explained that the suspension will remain in place until later in the week, preventing any new political ads from being introduced immediately after the election. Ads that were served at least once before the restriction will still be displayed, but editing options will be limited.
Meta‘s decision to extend its ad restriction is part of its ongoing policy to help prevent last-minute claims that could be difficult to verify. The social media giant implemented a similar measure in the last election cycle, underscoring the need for extra caution as elections unfold.
Last year, Meta also barred political advertisers and regulated industries from using its generative AI-based ad products, reflecting a continued focus on reducing potential misinformation through stricter ad controls and ad content regulations.
At TechCrunch Disrupt 2024, data management leaders advised AI-driven businesses to focus on incremental, practical applications rather than expansive, large-scale projects. Chet Kapoor, CEO of DataStax, stressed that AI’s effectiveness relies heavily on having robust, unstructured data at scale, but warned companies against rushing into overly ambitious initiatives. The discussion featured insights from Kapoor, Vanessa Larco of NEA, and Fivetran’s CEO George Fraser, all of whom advocated a targeted approach to data application in generative AI.
Rather than applying AI across all company functions immediately, Larco suggested that firms begin with well-defined objectives. Identifying relevant data is key, she said, and applying it selectively can avoid the pitfalls of costly errors. Companies looking to capitalise on AI should ‘work backwards’, focusing first on the issue to be solved and gathering the specific data required, Larco added.
Fraser underscored the importance of addressing current needs before planning for broader scaling. Many innovation costs, he pointed out, stem from projects that fail rather than those that succeed. His advice: ‘Only solve the problems you have today’.
Kapoor likened today’s generative AI era to the early days of mobile apps, emphasising that most AI projects are currently in exploratory stages. He believes next year will see transformational AI applications begin to shift company trajectories.
Nvidia CEO Jensen Huang has urged South Korea’s SK Hynix to speed up the delivery of its next-generation HBM4 memory chips by six months, according to SK Group Chairman Chey Tae-won. Initially scheduled for the latter half of 2025, the HBM4 chips are in high demand as Nvidia’s GPUs require them for advancing AI technology. Nvidia, which holds a dominant share of the AI chip market, relies on SK Hynix’s high-bandwidth memory to support AI processing.
Facing growing competition from Samsung and Micron, SK Hynix is working to deliver its latest HBM3E chips this year, with plans to release improved 16-layer versions early next year. Samsung has also announced progress on a new supply deal and aims to roll out its HBM4 products by the second half of 2024.
Shares of SK Hynix surged 5.1% on the news, reflecting strong investor confidence in its strategic response to the booming demand for advanced memory technology.
United States energy regulators have rejected an amended plan for an Amazon data centre to be powered directly from Talen Energy’s Susquehanna nuclear plant in Pennsylvania. The Federal Energy Regulatory Commission (FERC) cited potential risks to both consumer costs and grid reliability, concluding that diverting power from the regional grid to Amazon’s facility could raise public energy bills and create supply challenges.
The proposal came as Big Tech companies like Amazon seek rapid ways to meet growing energy demands for data centres, particularly those needed to expand AI technologies. Co-locating data centres with power plants has emerged as an appealing solution, yet FERC Commissioner Mark Christie warned that this arrangement could bring complex repercussions, including significant impacts on reliability and costs.
FERC Chairman Willie Phillips, however, dissented, arguing that blocking the project could hinder US leadership in AI and harm national security. The decision leaves questions about funding and infrastructure upgrades necessary to ensure reliable supply to such high-demand centres.
Disney is establishing a new division, the Office of Technology Enablement, dedicated to advancing the company’s use of AI and mixed reality (XR). Led by Jamie Voris, Disney’s former chief technology officer for its film studio, the unit will oversee projects across Disney’s film, television, and theme park segments to leverage these rapidly evolving technologies. This group will focus on coordinating various initiatives without centralising them, ensuring each project aligns with Disney’s broader technological strategy.
The new office, which will ultimately expand to about 100 employees, comes as Disney looks to tap into cutting-edge AI and augmented reality (AR) applications. Disney Entertainment Co-Chairman Alan Bergman emphasised the importance of exploring AI’s potential while mitigating risks, signaling Disney’s intention to create next-generation experiences for theme parks and home entertainment. Voris’s leadership will be succeeded by Eddie Drake as Disney’s new film studio CTO.
Disney has been actively building expertise in AR and virtual reality (VR) as technology companies like Meta and Apple compete in the emerging AR/VR market. The company also rehired Kyle Laughlin, a specialist in these technologies, as Senior VP of Research and Development for Disney Imagineering, its theme park innovation branch. By assembling a team with expertise in advanced tech, Disney aims to create immersive, engaging experiences for its global audience.
