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Adobe Firefly AI video generator debuts—the most ‘IP-safe’ AI tool yet? - Related to market, adobe, hungry, ‘ip-safe’, vram

Adobe Firefly AI video generator debuts—the most ‘IP-safe’ AI tool yet?

Adobe Firefly AI video generator debuts—the most ‘IP-safe’ AI tool yet?

Adobe is expanding its generative AI capabilities with the release of a new video generation model, marking a significant step in the business’s push to provide professional creators with AI tools they can safely use in commercial projects.

The enterprise showcased today that its Firefly Video Model is entering public beta, offering AI-powered video generation tools that Adobe asserts are trained only on licensed content — a key differentiator in the increasingly crowded AI video generation market.

“We’re the most useful solution because we’re IP friendly, commercially safe model. You can use our model. There is no risk of IP infringement,” stated Alexandru Costin, who leads Adobe’s AI initiatives, in an interview with VentureBeat. “More than anybody else, we’re passionate about solving videographer, professional videographer needs.”.

How Adobe’s new pricing strategy makes AI video generation more accessible.

The launch comes as Adobe reports its Firefly family of AI models has generated over 18 billion assets globally since its initial release in March 2023. This rapid adoption implies strong demand for AI tools that creative professionals can confidently use in commercial work.

The new video capabilities will be available through Adobe’s redesigned Firefly web application and integrated into Premiere Pro, Adobe’s professional video editing software. The system can generate 1080p video clips from text prompts or images, with aspects like camera angle control and atmospheric effects generation.

“Just coming from the research lab, they were demoing to me this morning some of the amazing generation capabilities that are coming, increasing the resolution, doing transparent video overlays… doing real time video,” Costin revealed, indicating Adobe’s roadmap for the technology.

Adobe is introducing tiered pricing plans starting at $[website] monthly for the Standard plan, which includes 2,000 video/audio credits – enough for approximately 20 five-second 1080p video generations. A Pro plan at $[website] offers 7,000 credits.

Inside Adobe’s Strategy to Dominate Professional AI Video Creation.

The integration with Adobe’s existing creative tools appears to be a key strategic advantage. Kylee Pena, Senior Product Marketing Manager at Adobe, demonstrated how editors can use the technology to fill gaps in video timelines or generate atmospheric effects like snow, then seamlessly adjust the results using Premiere Pro’s professional tools.

“Because I’m in Premiere Pro, I also have a lot of additional pro level tools, including AI tools we’ve had for a while, like color match,” Pena explained during a demonstration.

The launch comes as competition intensifies in the AI video generation space, with recent entries like OpenAI’s Sora generating significant attention. Adobe is betting that its focus on commercial safety and professional workflow integration will help it stand out in an increasingly crowded market.

To ensure transparency, Adobe will include Content Credentials, a type of digital certification, with all AI-generated video content. This aligns with the enterprise’s leadership in the Content Authenticity Initiative, which aims to provide verification tools for digital content.

Global brands including Dentsu, Gatorade, and Stagwell are already testing the technology in beta, suggesting potential enterprise adoption. Adobe plans to introduce a Premium plan designed for high-volume professional customers in the near future.

The development signals Adobe’s strategic focus on maintaining its position as the go-to provider of creative tools for professionals while adapting to the AI revolution reshaping the creative industry. With 85% of projects at the recent Sundance Film Festival using Adobe Creative Cloud, the enterprise appears well-positioned to bridge the gap between traditional creative workflows and emerging AI capabilities.

Table of Contents Table of Contents The Creator (2023) In the Land of Saints and Sinners (2023) Twilight of the Warriors: Walled In (2024).

The startup uses data collaboration technologies aligned with Indian and global privacy standards to enhance marketing reach and customer engagement.

AMD may have a solution for your VRAM hungry games

AMD may have a solution for your VRAM hungry games

Following a rocky road to AMD’s RX 9000 series GPU launch, rumors circulating on the Chiphell forums suggest that AMD is planning to release a Radeon RX 9070 XT graphics card variant equipped with 32GB of GDDR6 memory. If true, this would make it one of the most VRAM-heavy GPUs in AMD’s next-generation lineup, catering to both gamers and AI enthusiasts who require large memory capacities. Reports indicate that this variant could launch by the second quarter of 2025, although AMD has yet to confirm any official details.

The standard RX 9070 XT is expected to feature 16GB of GDDR6 memory, which aligns with previous AMD GPUs in the high-end gaming segment. As pointed out by Techpowerup, to reach the rumored 32GB capacity, AMD would need to use 16 memory modules, each with a 2GB capacity, since there are no GDDR6 memory modules offering higher capacity.

This approach would likely require a dual-sided PCB layout, where memory chips are installed on both the front and back of the graphics card. While this design is not common for mainstream gaming GPUs, it has been used in professional workstation cards that demand higher memory bandwidth and capacity.

A key factor driving this potential memory upgrade could be the increasing demand for VRAM in gaming and AI workloads. Recent AAA game titles have begun pushing the limits of VRAM usage, with some already requiring 16GB or more at ultra settings. Additionally, AI and machine learning applications, including AI-powered image generation and large language models, benefit significantly from increased VRAM.

If AMD indeed releases a 32GB RX 9070 XT, it could serve as a bridge between gaming GPUs and workstation-class cards, providing an option for individuals who need extra VRAM without investing in expensive professional solutions.

It is still unclear whether AMD would price this model competitively against Nvidia’s high-end offerings like the RTX 5090 or position it as a niche product for specific workloads. With no official confirmation from AMD yet, these details remain speculative.

The 39th annual Game Developers Conference (GDC) is coming up quick in San Francisco, March 17 to March 21, and around the corner, GamesBeat will be h......

Monzo’s chief operating officer Sujata Bhatia is leaving the UK challenger bank after five years.

Bhatia revealed on LinkedIn that she is.

Cerebras-Perplexity deal targets $100B search market with ultra-fast AI

Cerebras-Perplexity deal targets $100B search market with ultra-fast AI

Cerebras Systems and Perplexity AI are joining forces to challenge the dominance of conventional search engines, announcing a partnership that promises to deliver near-instantaneous AI-powered search results at speeds previously thought impossible.

The collaboration, presented in an , centers on Perplexity’s new Sonar model, which runs on Cerebras’s specialized AI chips at 1,200 tokens per second — making it one of the fastest AI search systems available. Built on Meta’s Llama [website] 70B foundation, Sonar represents a significant bet that individuals will embrace AI-first search experiences if they’re fast enough.

“Our partnership with Cerebras has been instrumental in bringing Sonar to life,” Denis Yarats, Perplexity’s CTO, mentioned in a statement. “Cerebras’s cutting-edge AI inference infrastructure has enabled us to achieve unprecedented speeds and efficiency.”.

AI search just got faster — and big tech should pay attention.

The timing is notable, coming just days after Cerebras made headlines with its DeepSeek implementation, which demonstrated speeds 57 times faster than traditional GPU-based solutions. The organization appears to be leveraging this momentum to establish itself as the go-to provider for high-speed AI inference.

’s internal testing, Sonar outperforms both GPT-4o mini and Claude [website] Haiku “by a substantial margin” in user satisfaction metrics, while matching or exceeding more expensive models like Claude [website] Sonnet. The corporation’s evaluations show Sonar achieving factuality scores of [website] out of 100, compared to [website] for GPT-4o and [website] for Claude [website] Sonnet.

Specialized hardware: The new battleground for AI companies.

The partnership reflects a growing trend of AI companies seeking competitive advantages through specialized hardware. Cerebras CEO Andrew Feldman in recent times argued that such technological advances expand rather than contract the market. “Every time compute has been made less expensive, they [public market investors] have systematically assumed that made the market smaller,” Feldman told ZDNET in a recent interview. “And in every single instance, over 50 years, it’s made the market bigger.”.

Industry analysts suggest this alliance could pressure traditional search providers and other AI companies to reconsider their hardware strategies. The ability to deliver near-instant results could prove particularly compelling for enterprise consumers, where speed and accuracy directly impact productivity.

Market impact: Can specialized chips reshape enterprise search?

However, questions remain about the scalability and cost-effectiveness of specialized AI chips compared to traditional GPU-based solutions. While Cerebras has demonstrated impressive speed advantages, the business faces the challenge of convincing clients that the performance benefits justify potential premium pricing.

The partnership also highlights the increasingly competitive landscape in AI search, where companies are racing to differentiate themselves through speed and accuracy rather than just raw model size. For Perplexity, which has been gaining attention as an AI-native alternative to traditional search engines, the Cerebras partnership could help establish it as a serious contender in the enterprise search market.

Perplexity plans to make Sonar available to Pro customers initially, with broader availability coming soon. The companies did not disclose the financial terms of their partnership.

Hiccup and Toothless hit the skies in the official trailer for the live-action adaptation of How to Train Your Dragon.

Market Impact Analysis

Market Growth Trend

2018201920202021202220232024
12.0%14.4%15.2%16.8%17.8%18.3%18.5%
12.0%14.4%15.2%16.8%17.8%18.3%18.5% 2018201920202021202220232024

Quarterly Growth Rate

Q1 2024 Q2 2024 Q3 2024 Q4 2024
16.8% 17.5% 18.2% 18.5%
16.8% Q1 17.5% Q2 18.2% Q3 18.5% Q4

Market Segments and Growth Drivers

Segment Market Share Growth Rate
Digital Transformation31%22.5%
IoT Solutions24%19.8%
Blockchain13%24.9%
AR/VR Applications18%29.5%
Other Innovations14%15.7%
Digital Transformation31.0%IoT Solutions24.0%Blockchain13.0%AR/VR Applications18.0%Other Innovations14.0%

Technology Maturity Curve

Different technologies within the ecosystem are at varying stages of maturity:

Innovation Trigger Peak of Inflated Expectations Trough of Disillusionment Slope of Enlightenment Plateau of Productivity AI/ML Blockchain VR/AR Cloud Mobile

Competitive Landscape Analysis

Company Market Share
Amazon Web Services16.3%
Microsoft Azure14.7%
Google Cloud9.8%
IBM Digital8.5%
Salesforce7.9%

Future Outlook and Predictions

The Adobe Firefly Video landscape is evolving rapidly, driven by technological advancements, changing threat vectors, and shifting business requirements. Based on current trends and expert analyses, we can anticipate several significant developments across different time horizons:

Year-by-Year Technology Evolution

Based on current trajectory and expert analyses, we can project the following development timeline:

2024Early adopters begin implementing specialized solutions with measurable results
2025Industry standards emerging to facilitate broader adoption and integration
2026Mainstream adoption begins as technical barriers are addressed
2027Integration with adjacent technologies creates new capabilities
2028Business models transform as capabilities mature
2029Technology becomes embedded in core infrastructure and processes
2030New paradigms emerge as the technology reaches full maturity

Technology Maturity Curve

Different technologies within the ecosystem are at varying stages of maturity, influencing adoption timelines and investment priorities:

Time / Development Stage Adoption / Maturity Innovation Early Adoption Growth Maturity Decline/Legacy Emerging Tech Current Focus Established Tech Mature Solutions (Interactive diagram available in full report)

Innovation Trigger

  • Generative AI for specialized domains
  • Blockchain for supply chain verification

Peak of Inflated Expectations

  • Digital twins for business processes
  • Quantum-resistant cryptography

Trough of Disillusionment

  • Consumer AR/VR applications
  • General-purpose blockchain

Slope of Enlightenment

  • AI-driven analytics
  • Edge computing

Plateau of Productivity

  • Cloud infrastructure
  • Mobile applications

Technology Evolution Timeline

1-2 Years
  • Technology adoption accelerating across industries
  • digital transformation initiatives becoming mainstream
3-5 Years
  • Significant transformation of business processes through advanced technologies
  • new digital business models emerging
5+ Years
  • Fundamental shifts in how technology integrates with business and society
  • emergence of new technology paradigms

Expert Perspectives

Leading experts in the digital innovation sector provide diverse perspectives on how the landscape will evolve over the coming years:

"Technology transformation will continue to accelerate, creating both challenges and opportunities."

— Industry Expert

"Organizations must balance innovation with practical implementation to achieve meaningful results."

— Technology Analyst

"The most successful adopters will focus on business outcomes rather than technology for its own sake."

— Research Director

Areas of Expert Consensus

  • Acceleration of Innovation: The pace of technological evolution will continue to increase
  • Practical Integration: Focus will shift from proof-of-concept to operational deployment
  • Human-Technology Partnership: Most effective implementations will optimize human-machine collaboration
  • Regulatory Influence: Regulatory frameworks will increasingly shape technology development

Short-Term Outlook (1-2 Years)

In the immediate future, organizations will focus on implementing and optimizing currently available technologies to address pressing digital innovation challenges:

  • Technology adoption accelerating across industries
  • digital transformation initiatives becoming mainstream

These developments will be characterized by incremental improvements to existing frameworks rather than revolutionary changes, with emphasis on practical deployment and measurable outcomes.

Mid-Term Outlook (3-5 Years)

As technologies mature and organizations adapt, more substantial transformations will emerge in how security is approached and implemented:

  • Significant transformation of business processes through advanced technologies
  • new digital business models emerging

This period will see significant changes in security architecture and operational models, with increasing automation and integration between previously siloed security functions. Organizations will shift from reactive to proactive security postures.

Long-Term Outlook (5+ Years)

Looking further ahead, more fundamental shifts will reshape how cybersecurity is conceptualized and implemented across digital ecosystems:

  • Fundamental shifts in how technology integrates with business and society
  • emergence of new technology paradigms

These long-term developments will likely require significant technical breakthroughs, new regulatory frameworks, and evolution in how organizations approach security as a fundamental business function rather than a technical discipline.

Key Risk Factors and Uncertainties

Several critical factors could significantly impact the trajectory of digital innovation evolution:

Legacy system integration challenges
Change management barriers
ROI uncertainty

Organizations should monitor these factors closely and develop contingency strategies to mitigate potential negative impacts on technology implementation timelines.

Alternative Future Scenarios

The evolution of technology can follow different paths depending on various factors including regulatory developments, investment trends, technological breakthroughs, and market adoption. We analyze three potential scenarios:

Optimistic Scenario

Rapid adoption of advanced technologies with significant business impact

Key Drivers: Supportive regulatory environment, significant research breakthroughs, strong market incentives, and rapid user adoption.

Probability: 25-30%

Base Case Scenario

Measured implementation with incremental improvements

Key Drivers: Balanced regulatory approach, steady technological progress, and selective implementation based on clear ROI.

Probability: 50-60%

Conservative Scenario

Technical and organizational barriers limiting effective adoption

Key Drivers: Restrictive regulations, technical limitations, implementation challenges, and risk-averse organizational cultures.

Probability: 15-20%

Scenario Comparison Matrix

FactorOptimisticBase CaseConservative
Implementation TimelineAcceleratedSteadyDelayed
Market AdoptionWidespreadSelectiveLimited
Technology EvolutionRapidProgressiveIncremental
Regulatory EnvironmentSupportiveBalancedRestrictive
Business ImpactTransformativeSignificantModest

Transformational Impact

Technology becoming increasingly embedded in all aspects of business operations. This evolution will necessitate significant changes in organizational structures, talent development, and strategic planning processes.

The convergence of multiple technological trends—including artificial intelligence, quantum computing, and ubiquitous connectivity—will create both unprecedented security challenges and innovative defensive capabilities.

Implementation Challenges

Technical complexity and organizational readiness remain key challenges. Organizations will need to develop comprehensive change management strategies to successfully navigate these transitions.

Regulatory uncertainty, particularly around emerging technologies like AI in security applications, will require flexible security architectures that can adapt to evolving compliance requirements.

Key Innovations to Watch

Artificial intelligence, distributed systems, and automation technologies leading innovation. Organizations should monitor these developments closely to maintain competitive advantages and effective security postures.

Strategic investments in research partnerships, technology pilots, and talent development will position forward-thinking organizations to leverage these innovations early in their development cycle.

Technical Glossary

Key technical terms and definitions to help understand the technologies discussed in this article.

Understanding the following technical concepts is essential for grasping the full implications of the security threats and defensive measures discussed in this article. These definitions provide context for both technical and non-technical readers.

Filter by difficulty:

platform intermediate

algorithm Platforms provide standardized environments that reduce development complexity and enable ecosystem growth through shared functionality and integration capabilities.

scalability intermediate

interface

API beginner

platform APIs serve as the connective tissue in modern software architectures, enabling different applications and services to communicate and share data according to defined protocols and data formats.
API concept visualizationHow APIs enable communication between different software systems
Example: Cloud service providers like AWS, Google Cloud, and Azure offer extensive APIs that allow organizations to programmatically provision and manage infrastructure and services.