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Red Bull Converts 2,000 Drones into an Onstage Tetris Extravaganza for World Finals


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Brief Overview

  • Red Bull organized the inaugural live Tetris game employing 2,000 drones in Dubai.
  • The occasion showcased a 150m by 93m Tetrimino grid illuminated in the sky.
  • 60 national champions took part, with distinctive regulations including gravity shifts.
  • Fehmi Atalar from Türkiye earned the championship title.
  • The event featured a live performance by El Waili alongside the Firdaus Orchestra.
  • This spectacle underscored the possibilities for future esports and immersive entertainment.

Tetris in the Firmament

In a groundbreaking event, Red Bull converted the Dubai Frame into the first-ever live, playable Tetris game, utilizing more than 2,000 drones. The drones established a colossal 150m by 93m grid, transforming the night sky into an interactive gaming platform. The drone technology was created by Lumasky, reacting immediately to player inputs, such as rotations, drops, and T-Spins. This was more than a light display; it was Tetris accelerated to esports velocity, suspended in the air.

Red Bull's drone-driven Tetris showcase in Dubai
Fehmi Atalar of Turkey celebrates victory at the Red Bull Tetris World Final in Dubai, UAE on December 13, 2025. (Image: Supplied – Dean Treml / Red Bull Content Pool)

Sixty Nations, One Grand Finale

The event witnessed 60 national champions competing in Dubai after advancing through seeding rounds and direct confrontations. The finals implemented a unique Tetris ruleset with gravity shifts, speed enhancements, and the rare Golden Tetrimino, adding a contemporary flair. The ultimate final was a nail-biting, winner-takes-all match between Fehmi Atalar from Türkiye and Leo Solorzano from Peru. Atalar secured victory with a score of 168,566 points, earning the title of Red Bull Tetris World Final Champion.

A Show Beyond Gaming

In addition to the drone-operated game, the offline final included a live performance by El Waili and the Firdaus Orchestra, merging electronic and orchestral music. This infused a sense of nostalgia alongside a modern touch to the event, celebrating a game that began in the 1980s while remaining engaging and relevant today.

The Event’s Importance

The Red Bull Tetris World Final was not merely a record-breaking event. It illustrated how classic games can be redefined through cutting-edge technology and iconic structures. By integrating esports with architectural wonders and drone innovation, Red Bull offered a sneak peek into the future of live competitive gaming and large-scale interactive entertainment. This event reaffirmed Tetris’s lasting allure and established a high standard for what competitive puzzle gaming can accomplish beyond conventional displays.

Recap

The Red Bull Tetris World Final in Dubai represented a revolutionary blend of classic gaming and contemporary technology, utilizing drones to fabricate a live, playable Tetris experience in the sky. The event united global champions and incorporated distinctive gameplay features, culminating in an exhilarating finale where Fehmi Atalar emerged victorious. With a live orchestral accompaniment, the spectacle showcased the immense potential for future breakthroughs in esports and interactive entertainment.

Q: How was the Tetris game showcased in the sky?

A: The game was illustrated using over 2,000 drones, creating a vast 150m by 93m Tetrimino grid that was fully interactive and responsive to player commands.

Q: What distinguished the Red Bull Tetris World Final?

A: It was the first live, playable Tetris game employing drones, featuring a tailored ruleset with components like gravity shifts and speed boosts, all set against the iconic Dubai Frame.

Q: Who triumphed at the Red Bull Tetris World Final?

A: Fehmi Atalar from Türkiye won the championship with a score of 168,566 points.

Q: What was the significance of music in the event?

A: The event included a live performance by El Waili and the Firdaus Orchestra, integrating electronic and orchestral music to enhance the gaming experience.

Q: What does this event signify for the future of esports?

A: It illustrates the potential for integrating esports with innovative technology and architectural landmarks, paving the way for novel forms of interactive entertainment.

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Google Improves TPUs for Better PyTorch Performance


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Quick Read

  • Google upgrades TPUs to enhance PyTorch performance, posing a challenge to Nvidia’s AI market leadership.
  • The “TorchTPU” project aims for comprehensive compatibility with PyTorch, facilitating developer adoption.
  • Google might release some of its software as open source to encourage TPU usage.
  • Google partners with Meta to hasten TPU progress.
  • Google’s TPU initiatives are part of larger strategies in AI infrastructure sales.

Google’s Strategic TPU Improvement

Google is undertaking a major initiative to upgrade its Tensor Processing Units (TPUs) for enhanced performance with PyTorch, the foremost AI software framework globally. This strategic action aims to counter Nvidia’s dominance in the AI computing sector.

Google aims to enhance TPUs for improved PyTorch performance

TorchTPU Project

The initiative, internally referred to as “TorchTPU,” is aimed at dismantling obstacles that have restrained TPU adoption by ensuring compatibility and user-friendliness with PyTorch. This step is essential as it resonates with the current technological setups of numerous users.

Open-Sourcing and Strategic Relevance

Google is pondering the idea of open-sourcing elements of its software to jumpstart TPU acceptance. The organization has made TorchTPU a key focus, allocating considerable resources in response to the rising demand from firms seeking alternatives to Nvidia’s GPUs.

Collaboration with Meta

To fast-track development, Google is partnering with Meta Platforms, the developer of PyTorch. This alliance could provide Meta with greater access to TPUs, potentially broadening its AI infrastructure beyond Nvidia’s GPUs.

TPU Customer Growth

Initially, Google’s TPUs were designated for internal operations. However, in 2022, their cloud service branch began handling TPU sales, significantly increasing supply for external customers as AI interest surged.

Addressing Framework Issues

The differences between PyTorch and Google’s Jax framework have created challenges for developers. The TorchTPU project proposes to narrow this divide, decreasing costs and effort for companies shifting away from Nvidia’s ecosystem.

Meta’s Strategic Goals

Meta’s collaboration with Google is motivated by its need to reduce inference expenses and enhance its negotiating leverage by diversifying its AI infrastructure to lessen dependency on Nvidia.

Conclusion

Google’s enhancement of TPUs, particularly through the TorchTPU project, aims to boost compatibility with PyTorch and contest Nvidia’s dominance in the AI market. In partnership with Meta, Google is set to broaden its TPU customer outreach and utilize its AI infrastructure.

Q: What is the main objective of Google’s TorchTPU project?

A: The primary objective is to improve TPUs for better compatibility with PyTorch, making it easier for developers to adopt.

Q: How does Google intend to promote TPU acceptance?

A: Google is considering open-sourcing portions of its software and working with Meta to enhance TPU uptake.

Q: What motivates Meta to join forces with Google on TPUs?

A: Meta seeks to reduce inference costs and expand its AI infrastructure beyond Nvidia’s GPUs.

Q: What changes has Google made to its TPU allocation strategy?

A: Since 2022, Google has increased TPU supplies for external clients, propelled by rising interest in AI.

Q: What issues does the TorchTPU project aim to solve?

A: It aims to alleviate the compatibility issues between PyTorch and Google’s Jax framework, lowering transition costs for developers.

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Government Allocates $225M to Enhance AI Adoption


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Australia’s $225M Commitment to AI Implementation

Quick Overview

  • The Australian government commits $225 million to AI initiatives over a four-year period.
  • GovAI will receive $166.4 million for the expansion of its platform and the development of AI assistants.
  • A new central function for AI delivery and enablement will be created with a budget of $28.9 million.
  • An advisory committee for AI will provide guidance on high-risk applications of AI in government.
  • An AI Safety Institute will be founded to prepare industry environments.

GovAI: A Catalyst for Change

The Australian government is making a notable investment of $225 million in artificial intelligence (AI) for its own applications over the next four years. This plan primarily flows through the GovAI service and its enablement functions. GovAI serves as a sovereign-hosted AI solution designed for comprehensive government use, including training and enablement initiatives.

Investment in AI technologies through GovAI

Out of the total funding, $166.4 million is designated for the first three years to enhance the GovAI platform and create a secure AI assistant called GovAI Chat. The funding distribution will be milestone-based to ensure progress is monitored at every stage.

Phased Funding for Strategic Advancement

At the outset, $28.5 million will be designated for the Finance and Digital Transformation Agency (DTA) for foundational tasks and assurances. Based on the results, an additional $137.9 million may be approved. Additionally, the Finance sector will receive $28.9 million over the four years commencing in 2025-26 to set up a central function for AI delivery and enablement.

Enhancing AI Skills in the Public Sector

The Australian Public Service Commission and the DTA will gain $22.1 million over four years to bolster foundational AI skills and support workforce planning. This program is vital for navigating AI-induced changes in job roles, skills development, and movement within government entities.

Moreover, the DTA will obtain an extra $7.7 million to enhance its AI capabilities and form an AI review committee. This committee will include specialists from various sectors of the public service, offering perspectives on high-risk government AI applications.

AI Safety Institute: Promoting Responsible AI Development

Beyond GovAI, the mid-year economic and fiscal outlook (MYEFO) commits nearly $30 million annually for the next four years, with $7.9 million per year from 2029-30, to establish an AI Safety Institute within the Department of Industry, Science and Resources. This institute will collaborate with regulators to prepare industries for advancements in AI technology.

Conclusion

This sizable investment from the Australian government demonstrates its dedication to embedding AI into public services, aiming to improve efficiency and spur innovation across various departments. The creation of the GovAI platform and the AI Safety Institute represents a strategic step toward a digitally empowered future.

Q&A: Clarifying the AI Investment

Q: What is GovAI?

A: GovAI functions as a sovereign-hosted AI platform for comprehensive government usage, designed to support AI training and enablement initiatives within the Australian public sector.

Q: How will the $225 million be distributed?

A: The allocation will occur over four years to expand the GovAI platform, develop AI skills, form an AI review committee, and establish an AI Safety Institute.

Q: What functions will the AI Safety Institute serve?

A: The AI Safety Institute will partner with regulators to ensure responsible AI innovation and prepare industry environments for advancements in AI technology.

Q: How will public servants gain from this investment?

A: Public servants will gain access to secure generative AI resources directly on their laptops, improving their efficiency and abilities in public service.

Q: Will new positions be created within government bodies?

A: Yes, each department will designate an executive supervisor, akin to a chief AI officer, to oversee AI integration, and some agencies might hire dedicated AI officers.

Q: When is the AI Safety Institute expected to begin operations?

A: The AI Safety Institute is anticipated to launch next year, coinciding with broader AI adoption efforts.

Defence Chief Technology Officer Resigns from Government Position


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Defence CTO Steps Down After 31 Years in Public Service

Brief Overview

  • Peter Alexander resigns from his position as Defence CTO after 31 years of dedicated service.
  • Alexander was pivotal in IT modernisation initiatives and decreasing the dependence on contractors.
  • Defence is on the lookout for a permanent CTO; interim measures are currently in effect.
  • Alexander played a crucial role in enhancing Defence’s internal technological abilities.
  • He previously served as Deputy CEO of the Digital Transformation Agency and CIO of the Commonwealth Treasury.

Peter Alexander’s Departure Signifies the Close of a Chapter

Defence CTO retires from the public service

Peter Alexander.

Department of Defence

Peter Alexander, the Chief Technology Officer (CTO) for Australia’s Department of Defence, has declared his retirement, concluding an esteemed 31-year journey in public service. In an emotional LinkedIn message, Alexander reminisced about the significant projects and remarkable individuals he encountered throughout his career.

Contributions to Defence ICT

Alexander assumed the role of Defence CTO in November 2023, following a reorganization of the department’s ICT structure. Previously, he was the inaugural assistant secretary of the ICT delivery division beginning in December 2021. His period in office was characterized by considerable initiatives aimed at IT modernisation and improving internal capacities, in step with a wider governmental goal to lessen reliance on contractors and outsourcing.

Defence’s Pursuit of a New CTO

In the wake of Alexander’s exit, the Department of Defence is actively searching for a permanent successor. While interim solutions have been arranged, the department has not revealed who is temporarily filling the CTO role. This transition phase occurs at a crucial juncture as Defence maintains its focus on developing its internal technology capabilities.

Legacy and Previous Positions

Before his tenure at Defence, Alexander held significant positions including Deputy Chief Executive of the Digital Transformation Agency (DTA) and Chief Information Officer of Commonwealth Treasury. His knowledge and leadership have made a significant imprint on the digital landscape of the public sector.

Conclusion

Peter Alexander’s retirement signifies the conclusion of an important chapter for the Department of Defence’s ICT domain. His initiatives in modernising and expanding internal technological capacities have laid a foundation for future progress. As the department seeks a new permanent CTO, it remains dedicated to reducing contractor dependence and enhancing its in-house expertise.

Q: Why did Peter Alexander choose to retire?

A: Peter Alexander retired after an impactful and extensive 31-year career in the Australian public service, aiming to conclude his professional journey positively.

Q: Who is currently acting as the CTO of Defence?

A: Defence has not disclosed the name of the interim CTO, but arrangements are in place until a permanent successor is appointed.

Q: What were Alexander’s priorities as CTO?

A: Alexander concentrated on IT modernisation, cultivating internal capabilities, and decreasing the department’s reliance on external contractors.

Q: What will be Defence’s focus in the future?

A: Defence will persist in its efforts to enhance its in-house technology capabilities and minimize contractor reliance.

Q: What roles did Alexander occupy prior to joining Defence?

A: Before joining Defence, Alexander served as the Deputy CEO of the Digital Transformation Agency and CIO of the Commonwealth Treasury.

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IAG Revamps Data Ingestion Method to Enhance Property Underwriters’ Capabilities


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Quick Read

  • IAG is focused on improving data ingestion methods through AI and automation.
  • The initiative is aimed at minimizing manual input and administrative burden.
  • Aim for nearly 98% accuracy in data ingestion through automation.
  • IAG has tested AI capabilities with positive outcomes in intricate tasks.
  • The organization identifies wider applications of AI across different business sectors.

The Shift Towards Automation at IAG

Insurance Australia Group (IAG) is adopting technological innovations to optimize its data ingestion processes throughout its operations. By utilizing AI and automation, IAG intends to greatly reduce time spent on manual data entry and administrative responsibilities. This strategic initiative is part of a larger “commercial enablement” program, led by Damien Gallagher, executive general manager of CX and growth for IAG’s intermediated brands, CGU and WFI.

Tackling the Challenges Facing Underwriters

Underwriters at IAG have historically had to engage with various systems, often dedicating up to half a day to processing data from partners. Gallagher emphasized the inefficiencies of this approach, pointing out its effects on growth potential and employee morale. The overhauled process is designed to enable underwriters to concentrate on risk assessment and solution development instead of being encumbered by administrative tasks.

Utilizing AI for Improved Efficiency

IAG’s objective is to automatically extract and ingest data with near-perfect precision. Initially dependent on optical character recognition, the organization has turned to AI and large language models for advanced solutions. Despite early doubts regarding AI’s effectiveness, IAG’s partnership with Appian has led to considerable improvements in accuracy, reaching a confidence level of 96-98% by September. This achievement has paved the way for deeper AI integration within the business.

Broadening AI’s Applicability

The trial of AI technology on intricate data tasks has highlighted its potential for wider applications within IAG. Gallagher mentioned that solving complex procedures upfront showcased the solution’s flexibility, with potential roles in client acquisition and claims processes. This aligns with IAG’s long-term dedication to automation, as seen in its adoption of GuideWire for streamlined claims processing.

Conclusion

IAG’s strategic revamp of its data ingestion processes marks a significant transition toward greater automation and efficiency. By incorporating AI, the organization is creating new growth avenues and improving the work environment for its staff. The initiative highlights IAG’s commitment to innovation in the insurance industry.

Q: What prompted IAG to revise its data ingestion process?

A: IAG seeks to lessen the time dedicated to manual entry and administration, consequently boosting efficiency and employee satisfaction.

Q: How accurate is IAG’s new AI-enabled data ingestion system?

A: The system has reached an accuracy rate of about 96-98%.

Q: What function does AI serve in IAG’s updated processes?

A: AI automates the extraction and ingestion of data, drastically cutting down the requirement for manual input.

Q: Are there additional sectors where IAG intends to apply AI?

A: Yes, IAG envisions potential uses for AI in client acquisition and claims workflows.

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We independently review everything we recommend. When you buy through our links, we may earn a commission which is paid directly to our Australia-based writers, editors, and support staff. Thank you for your support!

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