Forget Sora: Adobe launches 'commercially safe' AI video generator. How to try it - Related to forget, scam, roadmap, try, it
CloudSEK Uncovers Fake Captcha Scam Targeting AI Users
Attackers have created a fake website (deepseekcaptcha[.]top) that looks very similar to DeepSeek’s official verification page.
The stolen data can be used to hack accounts, including those on platforms like Steam and Telegram. To avoid detection, cybercriminals have used Cloudflare hosting, making it difficult for security systems to track and block the malicious site.
Cybersecurity Experts Warn AI customers to Stay Vigilant.
’s threat intelligence lead, Sparsh Kulshrestha, this attack highlights how hackers are adapting to new technologies.
Cybersecurity experts warn that AI-related scams are becoming more sophisticated, making them harder to detect using traditional security tools.
CloudSEK recommends several precautionary measures to prevent phishing scams. clients should always verify website URLs before entering credentials to ensure they are on a legitimate platform.
individuals must also be cautious of captcha requests, as AI platforms do not repeatedly require verification. Unexpected prompts should be treated with suspicion.
Enabling multi-factor authentication (MFA) adds an extra layer of security, which prevents hackers from accessing accounts even if credentials are stolen. Organisations should also implement anti-phishing protection, such as email filters and domain monitoring tools, to detect phishing scams early.
Lastly, keeping devices and security software updated helps protect against new and evolving threats.
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OpenAI Announces Roadmap for GPT-4.5 and GPT-5
OpenAI has outlined its plans to release [website] and GPT-5 to simplify product offerings and enhance AI usability. Sam Altman, OpenAI’s chief, shared the upgrade in a post on X.
“We want AI to ‘just work’ for you; we realise how complicated our model and product offerings have gotten,” Altman noted. He also expressed dissatisfaction with the current model picker, saying, “We hate the model picker as much as you do and want to return to magic unified intelligence.”.
[website], internally referred to as Orion, will be the next release and the last non-chain-of-thought model. Following this, OpenAI plans to unify the o-series and GPT-series models, enabling systems that can integrate all tools and determine optimal thinking time for tasks.
GPT-5 will be introduced in ChatGPT and the API as a system incorporating various OpenAI technologies, including o3. OpenAI will not release o3 as a standalone model. Altman showcased that [website] or GPT-5 could be released within weeks or months.
Meanwhile, , OpenAI is progressing in its plan to develop custom AI chips to reduce reliance on NVIDIA. The enterprise is preparing to finalise the design of its first in-house chip in the coming months and intends to send it for fabrication at TSMC (Taiwan Semiconductor Manufacturing enterprise).
OpenAI is also engaged in discussions with SoftBank to secure an investment of up to $25 billion.
Most in the recent past, X chief Elon Musk and a group of investors made a bid to buy OpenAI for around $[website] billion. The bid aims to acquire the nonprofit organisation that controls OpenAI. The group includes Musk’s AI organization, xAI, investment firms like Vy Capital, and notable investors such as Ari Emanuel.
However, Altman reaffirmed that the firm is not up for sale, stating, “The OpenAI mission is not for sale.”.
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Forget Sora: Adobe launches 'commercially safe' AI video generator. How to try it
AI video generators unlock new possibilities for creatives, allowing them to bring their ideas to video form with a quick prompt or reference image. However, using these AI tools in their work can risk copyright lawsuits. Adobe's video generator tackles that issue.
On Wednesday, Adobe launched its Firefly Video Generator, available in two ways: As a public beta for individuals in the new Firefly web application through Generative Video, which can use a user's text or images to generate videos, and in Adobe Premiere Pro through Generative Extend, which adds frames to your shot using AI.
The Generate Video experience, powered by the Firefly Video model, allows clients to generate video clips from text prompts or images. It also includes several professional-grade customization tools, such as camera angles and cinematic movement. At launch, the videos will support 1080p resolution, with lower resolution and pro-level 4K production coming soon.
Adobe's Firefly Video model is also now available in Adobe Premiere through the Generative Extend feature (also in beta), which allows consumers to expand a clip with AI-generated video and audio that matches the original clip. This feature can help video editors fill in gaps in their timelines without having to go through multiple, complicated steps or find more b-roll.
The model's competitive edge versus models like OpenAI's Sora is that it is commercially safe, which means that the model generates only IP-friendly video content because its training dataset does not include trademarked or copyrighted content. This is particularly significant for professionals such as filmmakers and marketers who need to use the generated videos in their work.
Also: 3 lucrative side hustles you can start right now with OpenAI's Sora video generator.
Of course, when using any AI creation tool, it's always a good idea to be transparent about your use of AI to build trust with your audience and be aware of potential legal risks that can come with using the technology. To support this transparency, all content generated using the Firefly Video Model contains Content Credentials, a nutrition label for what makes up a photo.
Along with the launch of the Generate Video feature, Adobe introduced a new Firefly web application that hosts many of Adobe's Firefly tools, enabling customers to access AI video and image generation, audio and video translation, and even the generation of professional images from 3D sketches and reference shapes all in one place.
Adobe Creative Cloud customers will appreciate that the Firefly web application integrates with Creative Cloud applications for a seamless workflow experience.
Adobe also launched two new Adobe Firefly plan offerings: Firefly Standard and Firefly Pro. The former costs $[website] a month and grants individuals access to 2,000 video/audio credits and up to 20 five-second 1080p video generations per month, . The Firefly Pro plan, meant for power individuals costs $[website] a month and grants individuals access to 7,000 video/audio credits and up to 70 five-second 1080p video generations per month.
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Market Impact Analysis
Market Growth Trend
| 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 |
|---|---|---|---|---|---|---|
| 23.1% | 27.8% | 29.2% | 32.4% | 34.2% | 35.2% | 35.6% |
Quarterly Growth Rate
| Q1 2024 | Q2 2024 | Q3 2024 | Q4 2024 |
|---|---|---|---|
| 32.5% | 34.8% | 36.2% | 35.6% |
Market Segments and Growth Drivers
| Segment | Market Share | Growth Rate |
|---|---|---|
| Machine Learning | 29% | 38.4% |
| Computer Vision | 18% | 35.7% |
| Natural Language Processing | 24% | 41.5% |
| Robotics | 15% | 22.3% |
| Other AI Technologies | 14% | 31.8% |
Technology Maturity Curve
Different technologies within the ecosystem are at varying stages of maturity:
Competitive Landscape Analysis
| Company | Market Share |
|---|---|
| Google AI | 18.3% |
| Microsoft AI | 15.7% |
| IBM Watson | 11.2% |
| Amazon AI | 9.8% |
| OpenAI | 8.4% |
Future Outlook and Predictions
The Cloudsek Uncovers Fake 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:
Technology Maturity Curve
Different technologies within the ecosystem are at varying stages of maturity, influencing adoption timelines and investment priorities:
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
- Improved generative models
- specialized AI applications
- AI-human collaboration systems
- multimodal AI platforms
- General AI capabilities
- AI-driven scientific breakthroughs
Expert Perspectives
Leading experts in the ai tech sector provide diverse perspectives on how the landscape will evolve over the coming years:
"The next frontier is AI systems that can reason across modalities and domains with minimal human guidance."
— AI Researcher
"Organizations that develop effective AI governance frameworks will gain competitive advantage."
— Industry Analyst
"The AI talent gap remains a critical barrier to implementation for most enterprises."
— Chief AI Officer
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 ai tech challenges:
- Improved generative models
- specialized AI applications
- enhanced AI ethics frameworks
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:
- AI-human collaboration systems
- multimodal AI platforms
- democratized AI development
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:
- General AI capabilities
- AI-driven scientific breakthroughs
- new computing 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 ai tech evolution:
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
Responsible AI driving innovation while minimizing societal disruption
Key Drivers: Supportive regulatory environment, significant research breakthroughs, strong market incentives, and rapid user adoption.
Probability: 25-30%
Base Case Scenario
Incremental adoption with mixed societal impacts and ongoing ethical challenges
Key Drivers: Balanced regulatory approach, steady technological progress, and selective implementation based on clear ROI.
Probability: 50-60%
Conservative Scenario
Technical and ethical barriers creating significant implementation challenges
Key Drivers: Restrictive regulations, technical limitations, implementation challenges, and risk-averse organizational cultures.
Probability: 15-20%
Scenario Comparison Matrix
| Factor | Optimistic | Base Case | Conservative |
|---|---|---|---|
| Implementation Timeline | Accelerated | Steady | Delayed |
| Market Adoption | Widespread | Selective | Limited |
| Technology Evolution | Rapid | Progressive | Incremental |
| Regulatory Environment | Supportive | Balanced | Restrictive |
| Business Impact | Transformative | Significant | Modest |
Transformational Impact
Redefinition of knowledge work, automation of creative processes. 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
Ethical concerns, computing resource limitations, talent shortages. 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
Multimodal learning, resource-efficient AI, transparent decision systems. 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.
platform intermediate
API beginner
How APIs enable communication between different software systemsalgorithm intermediate
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