Revolutionizing Public Services: The Impact of GenAI on the Public Sector

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TheGen.AI News

Revolutionizing Public Services: The Impact of GenAI on the Public Sector

Encouraging greater adoption of automation and generative AI tools in the UK public sector could save £38 billion annually by 2030, according to research by Google Cloud. The study, conducted with policy consultancy Public First, highlights the transformative potential of AI for public sector efficiency.

The research combined insights from 415 UK public sector workers with Public First’s modeling, showing that adopting AI could streamline workflows and improve productivity significantly. For example, AI could enable an additional 3.7 million GP appointments, increase teacher-to-student ratios by 16%, and free up resources equivalent to over 160,000 police officers, according to Public First partner Jonathan Dupont.

Survey respondents overwhelmingly agreed that AI could simplify administrative tasks in the near term, with 81% expecting it to reduce paperwork processing times and 79% predicting benefits for transcriptions and meeting notes. Over time, AI is anticipated to drive deeper efficiencies, reducing waste and reshaping public sector operations.

Despite this optimism, AI adoption remains limited, with only 12% of respondents reporting significant deployment of AI tools. Barriers such as security concerns, legal compliance, skill shortages, and data reliability were cited as key challenges. Additionally, 47% of respondents believed that AI adoption would proceed more slowly than other technologies like cloud computing or social media.

The research also pointed to a skills gap in the public sector workforce, with only 34% of respondents confident that their employees have the necessary expertise to use AI effectively. Moreover, 55% said better-structured or different datasets would be needed to fully leverage AI’s potential.

To address these issues, the report calls for collaboration between government, public sector organizations, and tech companies to ensure secure, high-quality datasets and develop the workforce’s AI skills. It emphasizes that linking public sector datasets securely and privately will be crucial to unlocking AI’s full potential, drawing on lessons from past digital government initiatives.

Technology Secretary Peter Kyle described the findings as a powerful reminder of the "revolutionary" potential of generative AI in transforming government services. He highlighted ongoing efforts to integrate AI, such as reducing administrative workloads for teachers and improving information access on Gov.uk, as part of broader public service reform efforts.

India’s 5G Revolution: 970 Million Subscribers Expected by 2030

India's 5G subscriptions are expected to exceed 270 million by the end of 2024, making up 23% of the country’s total mobile subscriptions. By 2030, mobile subscriptions in India are projected to reach 970 million, with 5G accounting for 74%, according to Ericsson's Mobility Report.

The report highlights that communication service providers (CSPs) will focus on deploying 5G Standalone (5G SA) and 5G Advanced technologies throughout the decade, shifting their strategies toward value-driven offerings instead of volume-based services. With 5G adoption rising rapidly, 4G subscriptions are forecasted to decrease from 640 million in 2024 to 240 million by 2030, representing 18% of total subscriptions. Additionally, India’s mid-band 5G deployments are set to cover 95% of the population by the end of 2024.

Looking ahead, the report predicts the first 6G deployments will begin in 2030, expanding on the capabilities of 5G SA and 5G Advanced.

Insights from the ConsumerLab Report

Another report by Ericsson’s ConsumerLab reveals that 67% of 5G smartphone users in India are expected to use Generative AI (GenAI) apps weekly within the next five years. These users are also willing to pay more for such services, indicating a growing demand for differentiated connectivity that guarantees uninterrupted, responsive performance.

AI features are emerging as a top priority for Indian smartphone buyers, surpassing traditional factors like camera quality, screen size, and storage. As more smartphone owners adopt GenAI apps alongside existing use cases like video calling, streaming, and online payments, CSPs have a significant opportunity to provide premium connectivity tailored to these needs.

“Young GenAI users are already showing a strong preference for more responsive AI experiences on 5G networks, presenting CSPs with an opportunity to deliver tailored connectivity solutions,” said Jasmeet Sethi, Head of ConsumerLab at Ericsson.

TheOpensource.AI News

Abu Dhabi Hosts Pioneering Open-Source AI Summit: Shaping the Future of AI

The Open-Source AI Summit Abu Dhabi, organized by the Technology Innovation Institute (TII), has commenced, bringing together key stakeholders to shape the global AI landscape. Held at the St. Regis Saadiyat Island over two days, the event hosts over 300 attendees and addresses the growing debate between open- and closed-source AI models.

"There are two critical choices when it comes to AI," said H.E. Faisal Al Bannai, Secretary General of the Advanced Technology Research Council and Adviser to the UAE President. "You can choose a closed-source AI model owned by a company, where they control it—including your data. Innovation starts and ends with them. Alternatively, an open-source model thrives within the community, enabling collective innovation and universal access. If AI is to become integral to our society, decisions must be made about who controls it. Opening Falcon AI models was TII’s global contribution."

Dr. Najwa Aaraj, CEO of TII, emphasized the summit’s significance, stating, "The Open-Source AI Summit Abu Dhabi is a milestone in global AI discussions. Open-source models like Falcon bring together scientists, developers, and innovators to drive technological progress and catalyze global change. We are excited to see the continued impact of Falcon, particularly through our work with the Falcon Foundation."

The agenda features insights from prominent experts. Dr. Belgacem Haba, Vice President of Adeia Corporation (USA), explored the challenges AI poses to semiconductor manufacturing. Prof. Philip Torr of Oxford University addressed AI ownership, regulation, and the long-term benefits of open-source AI, asserting that its advantages outweigh potential risks.

Dr. Hakim Hacid, Chief Researcher at TII’s AI Research Center, highlighted the complexities of open-source AI. "While we believe open-source AI is the future, it raises questions about control, policy, and hardware. This summit is an opportunity to convene global experts and address these challenges, a commitment we will uphold with the Falcon Foundation," he said.

Upcoming speakers include:

• Dr. Natalia Vassilieva, VP and Field CTO, Cerebras Systems (USA), on sustainable AI computing.

• Dr. June Paik, Founder and CEO, FuriosaAI (USA), on creating compact LLMs.

• Dr. Armand Joulin, Research Director, Google DeepMind (France), on foundation models and trustworthy algorithms.

• Dr. Michal Valko, Principal Llama Engineer, Meta Paris (France), on degrees of AI openness.

TII’s Dr. Jingwei Zuo will also present on Falcon Mamba, the first State Space Language Model, launched earlier this year.

The summit concludes with a TII-led panel on the future of open-source AI. TII’s Falcon AI LLM series, which debuted with Falcon 40B, the UAE’s first open-source LLM in May 2023, has earned global acclaim, ranking among the top open-source models on Hugging Face’s leaderboard. A new Falcon model is anticipated by the end of 2024.

Lightricks Launches LTX Video 0.9: Redefining AI Video Creation

Lightricks, the company known for AI-driven tools like Facetune and LTX Studio, has unveiled LTX Video 0.9 (LTXV), an open-source generative AI video model designed to revolutionize video creation. The Israel-based company is offering LTXV freely to researchers and developers to advance innovation in AI-driven video technology.

Key Features of LTXV

LTXV sets a new standard in video generation, creating five-second clips in just four seconds—processing faster than real-time playback. Designed for accessibility, the model is compatible with widely available GPUs, making advanced video generation tools accessible to smaller studios and independent creators.

Built on a Diffusion Transformer (DiT) architecture, LTXV generates 24 FPS videos at 768x512 resolution. It ensures smooth transitions between frames, eliminating common issues like object morphing and frame inconsistencies, and was trained on a large-scale dataset for high-quality output.

Democratizing AI Video Creation

“We founded Lightricks to bridge the gap between imagination and creation,” said Zeev Farbman, Co-founder and CEO of Lightricks. “LTXV is an open-source tool empowering researchers and developers to shape the future of AI video generation.”

The model is available on GitHub and Hugging Face, built using PyTorch XLA for compatibility across GPU and TPU systems. This release follows Lightricks’ earlier introduction of Long AnimateDiff, an open-source animation framework.

Transforming Video Creation

The integration of LTXV into LTX Studio enhances the platform’s capabilities, enabling the production of longer, high-quality videos at groundbreaking speeds. By removing technical barriers, LTXV allows creators to focus on storytelling and innovation, opening new possibilities in content creation.

Future Potential

“LTXV represents a new era of AI video generation,” said Yaron Inger, CTO of Lightricks. “Its unmatched speed and accuracy unlock opportunities for interactive experiences in gaming, shopping, and social media. We’re eager to see how the global community builds upon this model.”

Despite its efficiency, LTXV delivers results comparable to larger, more resource-intensive models. Sample clips created using the model are available on GitHub, and Lightricks plans future updates to enhance motion consistency, support higher resolutions, and expand customization options.

TheClosedsource.AI News

OpenAI’s Sora Video Generator Leaked in Protest by Artists

A group has reportedly leaked access to Sora, OpenAI’s unreleased video generation tool, in protest against what they describe as OpenAI’s duplicity and "art washing."

On Tuesday, the group published a project on the AI development platform Hugging Face, seemingly tied to OpenAI’s Sora API, which has not yet been made publicly available. By using authentication tokens, likely obtained through an early access program, the group created a frontend allowing users to generate videos with Sora.

Through this frontend, users could produce 10-second videos in up to 1080p resolution. However, due to high demand, the queue was reportedly long. Several users shared videos online, many bearing OpenAI’s visual watermark. By 12:01 p.m. Eastern, the frontend was disabled, likely due to OpenAI or Hugging Face revoking access. The group claims that OpenAI temporarily paused Sora’s early access for all artists following the leak.

The Group’s Protest

The group, identifying as “Sora PR Puppets,” criticized OpenAI for allegedly pressuring early testers, including red teamers and creative collaborators, to portray Sora in a positive light while providing inadequate compensation. In their post, they claimed that hundreds of artists contributed unpaid labor for a company valued at $150 billion, providing bug reports, feedback, and experimental work.

“This early access program appears to prioritize PR and advertisement over genuine creative critique and expression,” the group wrote. They further alleged that OpenAI tightly controls the early access process, requiring pre-approval for all Sora outputs before they can be shared. Additionally, only select creators’ works will be showcased publicly.

“We’re not against AI as a creative tool,” they said, “but we strongly oppose the way this program has been implemented. We hope OpenAI becomes more transparent, artist-friendly, and supportive of the arts beyond PR efforts.”

Challenges and Technical Hurdles

Sora has faced several setbacks since its introduction earlier this year. Early iterations were plagued by slow processing speeds, taking over 10 minutes to generate a one-minute video. Consistency was another issue, with filmmakers like Patrick Cederberg reportedly generating hundreds of clips to produce a usable one.

OpenAI chief product officer Kevin Weil, in a recent Reddit AMA, stated that Sora’s public release has been delayed due to the need to refine the model, address safety and impersonation concerns, and scale computing resources. Meanwhile, rival companies like Runway and Stability AI have gained ground, forming partnerships with major players like Lionsgate and recruiting high-profile figures such as "Avatar" director James Cameron.

The Leaked Model

The leaked version of Sora appears to be a faster "turbo" variant with style controls and limited customization options, as uncovered by users online. OpenAI has reportedly trained Sora on millions of hours of high-quality video clips to improve its output across various styles and subjects.

While OpenAI has been showcasing Sora to Hollywood studios and filmmakers, including a demonstration at Cannes, the company has yet to overcome technical and competitive challenges. As rivals continue to advance in the video generation space, OpenAI faces growing pressure to deliver a robust and accessible tool.

We’ve reached out to OpenAI and Hugging Face for comment and will update this article if responses are provided.

NVIDIA Challenges Google and OpenAI with Fugatto: Text-to-Audio AI Model Unveiled

NVIDIA has unveiled Fugatto, a cutting-edge generative AI model capable of converting text prompts into audio. Officially named the Foundational Generative Audio Transformer Opus 1, this experimental tool is designed to tackle a wide range of audio-related tasks, including music creation and sound modification.

Touted by NVIDIA as a “Swiss Army knife for sound,” Fugatto features advanced multilingual and multi-accent capabilities, developed by a global team of AI researchers.

Transforming Audio Creation Across Industries

Fugatto has broad applications for professionals in music, education, and game development. For music producers, it enables rapid prototyping, allowing them to experiment with styles, voices, and instruments. Language educators can use it to tailor audio outputs to specific accents or voices, enhancing language-learning tools. Game developers can leverage the AI to dynamically adjust pre-recorded audio in response to gameplay, creating a more immersive player experience.

The model also excels in handling complex, nuanced audio tasks. It can generate speech with specific emotions, such as anger, in chosen accents or create evolving soundscapes, like a rainstorm traveling across a landscape. These features highlight Fugatto’s adaptability and potential to redefine creative audio generation.

Competing in a Growing Field

Fugatto enters a competitive landscape of generative AI for audio. Meta has introduced an open-source AI kit for text-to-sound conversion, while Google’s MusicLM allows users to generate music from text prompts through its AI Test Kitchen.

NVIDIA’s model distinguishes itself with its focus on producing natural, human-like sounds and its ability to precisely modify existing audio files, setting it apart from its competitors.

Limited Accessibility for Now

NVIDIA has not announced plans to make Fugatto publicly available. However, its transformative potential in sound design is undeniable. From streamlining workflows for professionals to enabling more personalized audio experiences, Fugatto represents a significant leap in the integration of AI with creative processes.

While its public accessibility remains uncertain, Fugatto underscores NVIDIA’s drive to push the boundaries of audio innovation and redefine what’s achievable in generative AI.

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