OpenAI cracks down on users developing social media surveillance tool using ChatGPT - Related to but, games,, surveillance, developing, media
ASRock Addresses AMD Ryzen 7 9800X3D Boot Issues With a BIOS Update

ASRock has deployed beta BIOS version [website] today for its AM5 motherboard lineup to address persistent boot failures and burns affecting AMD Ryzen 7 9800X3D processors . ASRock Japan refuted proposes of permanent CPU damage, characterizing circulating reports as "misinformation" and identifying memory compatibility as the underlying cause rather than processor defects. The firmware patch targets a specific interaction between memory configurations and the 9800X3D's architecture that manifests as boot failures across what ASRock describes as a "minority proportion" of affected systems. A community-aggregated database on Reddit documented 40 failure incidents, with ASRock boards accounting for 32 cases. The failure pattern appears inconsistent—some systems fail immediately while others operate normally for weeks before exhibiting symptoms. BIOS flashback procedures have successfully restored functionality in multiple instances."The CPUs themselves are not broken. This is specifically a memory compatibility issue affecting system initialization," ASRock Japan explained via social media. Prior to releasing version [website], the corporation had recommended affected individuals downgrade to BIOS [website] as a temporary workaround. Notably, consumers who RMA'd their processors and received replacements found their systems suddenly operational—suggesting the issue stems from complex firmware-hardware interactions rather than manufacturing defects. The problem appears isolated to the 9800X3D model and does not affect other processors in AMD's Ryzen 9000 series lineup. ASRock noted that the corporation will provide comprehensive technical documentation explaining the underlying mechanisms. AMD has yet to issue an official statement regarding the compatibility issues affecting their premium gaming processor.
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OpenAI cracks down on users developing social media surveillance tool using ChatGPT

Doh! It's proven that anytime you release something to the World Wide Web, some people – usually a lot – will abuse it. So it's probably not surprising that people are abusing ChatGPT in ways against OpenAI's policies and privacy laws. Developers have difficulty catching everything, but they bring their ban hammer when they do.
OpenAI not long ago . The developer caught customers in China exploiting ChatGPT's "reasoning" capabilities to develop a tool to surveil social media platforms. They asked the chatbot to advise them on creating a business strategy and to check the coding of the tool.
OpenAI noted that its mission is to build "democratic" AI models, a technology that should benefit everyone by enforcing some common-sense rules. The organization has actively looked for potential misuses or disruptions by various stakeholders and described a couple coming out of China.
The most interesting case involves a set of ChatGPT accounts focused on developing a surveillance tool. The accounts used ChatGPT's AI model to generate detailed descriptions and sales pitches for a social media listening tool.
The software, powered by non-OpenAI models, would generate real-time reports regarding Western protests and send them to Chinese security services. The customers also used ChatGPT to debug the tool's code. OpenAI policy explicitly prohibits using its AI tech for performing surveillance tasks, including unauthorized monitoring on behalf of government and authoritarian regimes. The developers banned those accounts for disregarding the platform's rules.
The Chinese actors attempted to conceal their location by using a VPN. They also utilized remote access tools such as AnyDesk and VoIP to appear to be working from the US. However, the accounts followed a time pattern consistent with Chinese business hours. The consumers also prompted ChatGPT to use Chinese. The surveillance tool they were developing used Meta's Llama AI models to generate documents based on the surveillance.
The another instance of ChatGPT abuse involved Chinese customers generating end-of-year performance reports for phishing email campaigns. OpenAI also banned an account that leveraged the LLM in a disinformation campaign against Cai Xia, a Chinese dissident currently living in the US.
OpenAI Threat Intelligence Investigator Ben Nimmo told The New York Times that this was the first time the firm caught people trying to exploit ChatGPT to make an AI-based surveillance tool. However, with millions of clients mainly using it for legitimate reasons, cyber-criminal activity is the exception, not the norm.
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Nvidia’s RTX 5090 can’t run older games, but this user found an expensive fix

Fans of PhysX on 32-bit CUDA are not ready to let go of the capability for the RTX 5090 GPU. Gamers have become inventive by rigging the already expensive graphics card with additional, compatible GPUs to regain PhysX function on their gaming setups.
Nvidia in recent times showcased that it is halting support for the legacy GPU-accelerated physics simulation technology, PhysX on newer graphics cards. This indicated that many popular older games would not be compatible with the RTX 5090 GPU and beyond in terms of detailed simulation and rendering. Without PhysX support, legacy games perform at significantly lower frame rates and aren’t able to properly execute many particle effects, including moving smoke, cloth, liquids, and shattering glass.
Tom’s Hardware previously noted it was possible to keep PhysX support going on a PC running an RTX 50 series GPU and beyond by pairing it with an RTX 40 series or older graphics card, only tapping the latter component in to work on the Nvidia control panel when necessary. This is exactly what Reddit user, jerubedo did– purchasing an RTX 3050 graphics card to pair with an RTX 5090 GPU. The enthusiast shared their results on the Nvidia forum.
The gamer tested the two GPUs on several legacy games, including Mafia II Classic, Batman Arkham, Borderlands 2, Assassin’s Creed IV: Black Flag, and Mirror’s Edge to varied results. Overall, the test yielded that the PhysX performance on the RTX 5090 GPU suffered without the help of the RTX 3050.
The RTX 5090 ran on its own with significantly low frame rates. With Borderlands 2, the user reported that PhysX would not run at all. Meanwhile, the RTX 5090 run with support from the RTX 3050, experienced much-elevated frame rates and improved support for effects. With Assassin’s Creed IV: Black Flag, the gamer indicated the frame rates were relatively the same between the two setups, at approximately 62fps.
However, other games saw extreme differences. The Redditor reported that Mirror’s Edge saw a frame rate of 12fps without the RTX 3050, with the game pausing for 49 seconds during a scene of glass shattering. In comparison, the RTX 5090 and RTX 3050 pair had a frame rate of 171fps.
Notably, the RTX 5090 retails for approximately $2,000, which is quite costly for a computing component. The GPU is already in limited quantity and high demand, making it even more unfortunate that Nvidia is stripping away long-appreciated functionalities from the graphics system. While purchasing an additional GPU to regain PhysX function is an interesting feat, it’s not a move every enthusiast wants to make when they expect their already expensive components to just work.
The commentators at Digital Foundry podcast noted that without PhysX or a dedicated GPU, the RTX 5090 has essentially lost backward compatibility when running older games. They added that without legacy support, the rendering that used to be run by PhysX is now taken up by aspects of the CPU, which does not function as well. While they would have expected CPU support to have caught up to the decades-old PhysX they don’t find this to be the case– making the retiring for this technology all the more disappointing for many. Additionally, the team noted there doesn’t seem to be any PhysX replacement in the pipeline, suggesting hardware rigging such as jerubedo’s experiment may be fans’ only option to retain the high-end rendering they desire.
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Market Impact Analysis
Market Growth Trend
2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 |
---|---|---|---|---|---|---|
4.9% | 5.9% | 6.2% | 6.9% | 7.3% | 7.5% | 7.6% |
Quarterly Growth Rate
Q1 2024 | Q2 2024 | Q3 2024 | Q4 2024 |
---|---|---|---|
6.9% | 7.2% | 7.4% | 7.6% |
Market Segments and Growth Drivers
Segment | Market Share | Growth Rate |
---|---|---|
Semiconductors | 35% | 9.3% |
Consumer Electronics | 29% | 6.2% |
Enterprise Hardware | 22% | 5.8% |
Networking Equipment | 9% | 7.9% |
Other Hardware | 5% | 5.3% |
Technology Maturity Curve
Different technologies within the ecosystem are at varying stages of maturity:
Competitive Landscape Analysis
Company | Market Share |
---|---|
Apple | 18.7% |
Samsung | 16.4% |
Intel | 12.9% |
NVIDIA | 9.8% |
AMD | 7.3% |
Future Outlook and Predictions
The Asrock Addresses Ryzen 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
- Technology adoption accelerating across industries
- digital transformation initiatives becoming mainstream
- Significant transformation of business processes through advanced technologies
- new digital business models emerging
- Fundamental shifts in how technology integrates with business and society
- emergence of new technology paradigms
Expert Perspectives
Leading experts in the hardware tech 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 hardware tech 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 hardware 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
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
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
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.