The French Ligue de Football Professionnel (LFP) and WSC Sports have partnered to revolutionise the league’s digital content strategy through AI-powered automation. WSC Sports’ platform will enable LFP to rapidly create and distribute tailored, data-driven content across various formats and platforms, including websites, apps, social media, and global broadcasts.
That will enhance fan engagement by delivering personalised content while maximising LFP’s digital assets, improving international visibility, and opening new revenue streams. The partnership also involves digitising 20 years of archived footage from Ligue 1 and Ligue 2, transforming historic moments into formats suited for modern platforms like vertical video, which will engage younger fans.
By automating content creation and distribution, LFP can scale its production efforts, expand its fanbase, and unlock new monetisation opportunities, driving financial growth. The collaboration is a significant step in LFP’s broader strategic transformation, focusing on providing a more dynamic and engaging experience for its fans.
By embracing AI and automation, LFP aims to meet the increasing demand for digital content and stay culturally relevant in a rapidly evolving media landscape. The partnership aims to strengthen fan loyalty, deliver content that exceeds expectations, and ensure that LFP’s competitions remain prominent in the global sports ecosystem.
Anthropic has unveiled Claude 3.5 Haiku, its latest AI model, which claims to outperform its previous flagship model, Claude 3 Opus. Designed for tasks such as coding support, data extraction, and content moderation, Claude 3.5 Haiku is now available on Anthropic’s API and several third-party platforms, including AWS Bedrock. Despite improvements, the new model lacks image analysis features, which its predecessor Claude 3 Haiku offers.
A price hike for Claude 3.5 Haiku has surprised many, as Anthropic previously suggested pricing would remain consistent with its older model. However, after outperforming Claude 3 Opus in final tests, Anthropic increased the model’s price to match its enhanced performance. The revised cost is now $1 per million input tokens and $5 per million output tokens — a fourfold increase from Claude 3 Haiku’s pricing.
Claude 3.5 Haiku provides advantages in text output length and an updated knowledge cutoff, enabling it to handle more recent information than Claude 3 Haiku. Despite this, the absence of image analysis functionality may lead some users to stick with the earlier, more affordable Claude 3 Haiku.
The unexpected price increase raises questions about Anthropic’s pricing approach as competition intensifies in the AI industry. As new models are developed, balancing enhanced features with accessibility is expected to remain a challenge for AI companies.
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.
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.
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.
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.
Dubai Chambers and Dubai Multi Commodities Centre (DMCC) have joined forces in a groundbreaking Memorandum of Understanding (MoU) to enhance Dubai’s status as a global hub for digital investments. The strategic collaboration focuses on attracting companies that specialise in AI, cryptocurrencies, and gaming, recognising their importance in shaping the future of the digital economy.
As part of the MoU, DMCC will provide specialised business setup support packages to facilitate the entry of new enterprises and ensure they have the necessary tools to thrive. Companies will also gain access to valuable resources, including participation in DMCC’s knowledge series events and complimentary compliance services and tax clinics.
That partnership aligns with the Dubai Economic Agenda (D33), which seeks to double the size of Dubai’s economy over the next decade and position the emirate among the top three global cities for business and innovation. Dubai Chambers and DMCC are united in their commitment to driving economic growth and innovation within the emirate through their collaboration.
They recognise the importance of creating a favourable business environment to support international companies and investments. By enhancing the growth of the digital economy and fostering a climate of institutional excellence, their efforts aim to provide a robust ecosystem that not only attracts innovative firms but also encourages the development of future-facing sectors.
Google researchers announced a breakthrough in cybersecurity, revealing they have discovered the first vulnerability using a large language model. This vulnerability, identified as an exploitable memory-safety issue in SQLite—a widely used open-source database engine—marks a significant milestone, as it is believed to be the first public instance of an AI tool uncovering a previously unknown flaw in real-world software.
The vulnerability was reported to SQLite developers in early October, who promptly addressed the issue on the same day it was identified. Notably, the bug was discovered before being included in an official release, ensuring that SQLite users were unaffected. Google emphasised this development as a demonstration of AI’s significant potential for enhancing cybersecurity defences.
The initiative is part of a collaborative project called Big Sleep, which involves Google Project Zero and Google DeepMind, stemming from previous efforts focused on AI-assisted vulnerability research.
Many companies, including Google, typically employ a technique known as ‘fuzzing,’ where software is tested by inputting random or invalid data to uncover vulnerabilities. However, Google noted that fuzzing often needs to improve in identifying hard-to-find bugs. The researchers expressed optimism that AI could help bridge this gap. ‘We see this as a promising avenue to achieve a defensive advantage,’ they stated.
The identified vulnerability was particularly intriguing because it was missed by existing testing frameworks, including OSS-Fuzz and SQLite’s internal systems. One of the key motivations behind the Big Sleep project is the ongoing challenge of vulnerability variants, with more than 40% of zero-day vulnerabilities identified in 2022 being variants of previously reported issues.
The UAE’s energy giant ADNOC is pioneering the use of highly autonomous agentic AI in the energy sector through a partnership with G42, Microsoft, and AIQ, as announced by CEO Sultan Al Jaber at an industry event in Abu Dhabi. This move is part of a broader UAE strategy to reduce reliance on oil, with support from G42, which secured a $1.5 billion investment from Microsoft to fuel the nation’s tech industry diversification.
Agentic AI, viewed as the future of artificial intelligence, allows systems to operate independently and make proactive decisions. According to Jaber, this advanced AI will significantly enhance operations by analysing vast amounts of data, reducing seismic survey times from months to days, and improving production forecasts by up to 90%.
The UAE’s government is investing billions in AI, including regional language-specific chatbots, positioning the Gulf state to remain economically influential as global demand for oil wanes.
