Open-source AI models launched by Alibaba
Alibaba pushes forward with AI innovation, launching a wide range of open-source models and text-to-video technology. The Chinese tech giant’s latest release includes over 100 models from its Qwen 2.5 family, offering significant improvements in mathematics, coding, and multilingual support.
These models aim to enhance AI capabilities in various industries, including gaming, automotive, and scientific research. Alibaba has adopted a unique hybrid approach, combining open-source and proprietary methods, setting itself apart from competitors like OpenAI and Baidu.
With model sizes ranging from 0.5 to 72 billion parameters, Alibaba’s AI tools cater to diverse business needs. The company’s text-to-video technology, part of its Tongyi Wanxiang image generation family, positions it as a key player in the expanding text-to-video market.
As competition in AI technology intensifies globally, Alibaba’s new developments could challenge major players such as OpenAI and ByteDance. ByteDance recently launched a text-to-video app for Chinese users on Apple’s App Store, further highlighting the rising interest in this technology.
Runway partners with Lionsgate to revolutionise film-making
Runway, a generative AI startup, has announced a significant partnership with Lionsgate, the studio responsible for popular franchises such as John Wick and Twilight. This collaboration will enable Lionsgate’s creative teams, including filmmakers and directors, to utilise Runway’s AI video-generating models. These models have been trained on the studio’s film catalogue and will be used to enhance their creative work. Michael Burns, vice chair of Lionsgate, emphasised the potential for this partnership to support creative talent.
Runway is considering new opportunities, including licensing its AI models to individual creators, allowing them to create and train custom models. This partnership represents the first public collaboration between a generative AI startup and a major Hollywood studio. Although Disney and Paramount have reportedly been discussing similar partnerships with AI providers, no official agreements have been reached yet.
This deal comes at a time of increased attention on AI in the entertainment industry, due to California’s new laws that regulate the use of AI digital replicas in film and television. Runway is also currently dealing with legal challenges regarding the alleged use of copyrighted works to train its models without permission.
Intel moves photonics business to Data Centre division
As restructuring unfolds, Intel is making significant changes to its photonics business by moving its Integrated Photonics Solutions (IPS) into the Data Centre and Artificial Intelligence division (DCAI). The main goal is to better align its R&D efforts with core business priorities. This shift follows recent advancements in integrated photonics technology, including the first fully integrated optical compute interconnect (OCI) chipset, representing a major leap in high-bandwidth interconnect for AI and high-performance computing.
Intel’s Integrated Photonics Solutions (IPS) division specialises in light generation and optical signal modulation, which are key to addressing signal loss in high-density transistors. By utilising optical signals rather than electrical ones, silicon photonics technology facilitates faster data transmission and increased bandwidth. Since its 2016 launch, Intel’s silicon photonics platform has delivered millions of photonic integrated circuits and on-chip lasers, with widespread adoption among major cloud service providers.
Integrating IPS with DCAI underscores Intel’s dedication to advancing silicon photonics, a field also being quickly developed by rivals such as AMD and TSMC.
Mistral AI lowers prices and launches free developer features
Mistral AI has launched a new free tier for developers to fine-tune and test apps using its AI models, as well as significantly reducing prices for API access to these models, the startup announced on Tuesday. The Paris-based company, valued at $6 billion, is introducing these updates to remain competitive with industry giants such as OpenAI and Google. These companies also offer free tiers for developers with limited usage. Mistral’s free tier, accessible through its platform ‘la Plateforme,’ enables developers to test its AI models at no cost. However, paid access is required for commercial production.
Mistral has reduced the prices of its AI models, including Mistral NeMo and Codestral, by over 50% and cut the cost of its largest model, Mistral Large, by 33%. This decision reflects the increasing commoditisation of AI models in the developer space, with providers vying to offer more advanced tools at lower prices.
Mistral has integrated image processing into its consumer AI chatbot, le Chat, through its new multimodal model, Pixtral 12B. This model allows users to scan, analyse, and search image files alongside text, marking another advancement in the startup’s expanding AI capabilities.
New AI tools and lenses coming to Snapchat
At its annual Snap Partner Summit, Snapchat announced new AI-powered features to improve the user experience. The app’s My AI chatbot now functions similarly to Google Lens. It enables users to take pictures of menus in foreign languages for translations, identify plants, or understand parking signs using AI. These updates aim to make My AI more practical, moving beyond entertainment to become a helpful tool for users.
Snapchat is introducing AI-powered edits for Snapchat+ subscribers through the ‘My Selfie’ feature. This feature allows users to enhance saved Snaps with captions and creative lenses. For example, users can transform a selfie into a Renaissance painting. Additionally, users can choose to be featured in AI-generated images with friends, such as being portrayed as lawyers or athletes.
Snapchat is also introducing a new AI-powered lens that displays users’ possible future appearances in response to TikTok’s trendy old-age filter. Other updates include enhanced HD video calls, SnapMail for leaving messages when friends miss a call, and local time zone displays in chats to improve worldwide user connections.
GSMA to launch responsible AI roadmap
GSMA has launched its inaugural Responsible AI (RAI) Maturity Roadmap, marking a significant step toward ethical AI practices across the telecom sector. That initiative represents the first sector-wide effort to unify approaches to responsible AI use, providing telecom operators with a structured framework to assess their current AI maturity and set clear goals for future improvement.
The roadmap integrates global standards and regulations from organisations such as the OECD and UNESCO, ensuring its guidelines are comprehensive and internationally recognised. This alignment supports the creation of a robust framework that promotes ethical AI practices throughout the industry.
GSMA and industry leaders emphasise the substantial economic potential of AI, with projections suggesting up to $680 billion in opportunities for the telecom sector over the next 15-20 years. The roadmap focuses on five core dimensions—vision and strategic goals, AI governance, technical controls, third-party collaboration, and change management—providing a comprehensive approach to responsible AI. That includes best practices such as fairness, privacy, safety, transparency, accountability, and environmental impact.
Why does this matter?
Statements from GSMA Director General Mats Granryd and Telefónica Chairman José María Álvarez-Pallete López highlight the need for ethical guidelines to manage AI’s rapid development and set a precedent for other industries to follow in adopting responsible AI practices.
AI tools in Microsoft 365 Copilot gain new business features
Microsoft is enhancing its $30-per-user Microsoft 365 Copilot subscription with new AI-driven features across Office apps. Excel now integrates Python with Copilot for advanced data analysis, while PowerPoint offers improved AI-assisted narrative building, and Word benefits from more efficient AI-generated drafts. The Copilot AI will also assist with organising Outlook inboxes.
Excel’s Python integration allows users to perform complex data analysis, such as forecasting and machine learning, using natural language commands. PowerPoint’s AI features can now help draft slide decks using company templates, and Teams will summarise both spoken and written conversations in meetings, helping organisers track important questions.
Outlook users will soon benefit from AI-powered inbox prioritisation, with Copilot sorting emails based on personal preferences. Additionally, the AI will be able to track keywords or topics, marking related emails as high priority. Word and OneDrive will also see updates, allowing users to reference data from emails, meetings, and documents seamlessly.
Microsoft aims to attract more businesses to Copilot, with Vodafone signing up for 68,000 licenses after successful trials. Microsoft reports that 60% of Fortune 500 companies now use Copilot, with daily usage nearly doubling each quarter.
Microsoft increases dividend as AI spending rises
The company has announced a new $60 billion share buyback program, approved by its board, alongside a quarterly dividend increase to $0.83 per share, reflecting a 10% rise. The Tech Giant will host its yearly shareholders’ meeting on December 10th.
Amid growing AI investments, Microsoft revealed a significant 77.6% increase in capital spending in the quarter ending 30 June, largely attributed to AI infrastructure. Although its Azure cloud business has exhibited slower growth recently, the company anticipates an acceleration in the second half of fiscal 2025.
Big tech firms like Microsoft and Google are under pressure to justify their AI investments. Microsoft is one of the few companies that has reported AI’s contributions in its earnings. Its stock has risen about 15% this year and saw a slight increase in aftermarket trading following the news.