Jibin Joseph@PCMag Middle East ai - 19d
DeepSeek AI's R1 model, a reasoning model praised for its detailed thought process, is now available on platforms like AWS and NVIDIA NIM. This increased accessibility allows users to build and scale generative AI applications with minimal infrastructure investment. Benchmarks have also revealed surprising performance metrics, with AMD’s Radeon RX 7900 XTX outperforming the RTX 4090 in certain DeepSeek benchmarks. The rise of DeepSeek has put the spotlight on reasoning models, which break questions down into individual steps, much like humans do.
Concerns surrounding DeepSeek have also emerged. The U.S. government is investigating whether DeepSeek smuggled restricted NVIDIA GPUs via Singapore to bypass export restrictions. A NewsGuard audit found that DeepSeek’s chatbot often advances Chinese government positions in response to prompts about Chinese, Russian, and Iranian false claims. Furthermore, security researchers discovered a "completely open" DeepSeek database that exposed user data and chat histories, raising privacy concerns. These issues have led to proposed legislation, such as the "No DeepSeek on Government Devices Act," reflecting growing worries about data security and potential misuse of the AI model. Recommended read:
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David Gerard@Pivot to AI - 19d
DeepSeek AI is facing increasing scrutiny and controversy due to its capabilities and potential security risks. US lawmakers are pushing for a ban on DeepSeek on government-issued devices, citing concerns that the app transfers user data to a banned state-owned company, China Mobile. This action follows a study that revealed direct links between the app and the Chinese government-owned entity. Security researchers have also discovered hidden code within DeepSeek that transmits user data to China, raising alarms about potential CCP oversight and the compromise of sensitive information.
DeepSeek's capabilities, while impressive, have raised concerns about its potential for misuse. Security researchers found the model doesn't screen out malicious prompts and can provide instructions for harmful activities, including producing chemical weapons and planning terrorist attacks. Despite these concerns, DeepSeek is being used to perform "reasoning" tasks, such as coding, on alternative chips from Groq and Cerebras, with some tasks completed in as little as 1.5 seconds. These advancements challenge traditional assumptions about the resources required for advanced AI, highlighting both the potential and the risks associated with DeepSeek's capabilities. Recommended read:
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@techcrunch.com - 28d
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community.openai.com
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DeepSeek is rapidly becoming a major player in the AI field, attracting attention and concern from both US officials and established companies like OpenAI. There are allegations of DeepSeek circumventing US restrictions on advanced AI chip purchases. Reports indicate that the company obtained Nvidia chips through third-party transactions in Singapore, potentially violating export regulations. DeepSeek's growing influence is also evident in its AI model performance, which is now being used as a benchmark against which other models are being measured.
The competitive landscape is further complicated by the emergence of new AI models like the Allen Institute for AI's Tulu 3 405B, an open-source model that claims to surpass DeepSeek V3 and even OpenAI’s GPT-4o on specific benchmarks. In addition to the increased competition for AI superiority, there is discussion about protecting OpenAI from other competitors like DeepSeek including the use of watermarks and other methods to protect their IP. The European AI contender, Mistral AI, is reportedly losing ground to its US counterparts and facing significant challenges from DeepSeek's rise and may be losing market share and ARR to these other companies. Recommended read:
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@www.cnbc.com - 29d
DeepSeek AI, a rapidly growing Chinese AI startup, has suffered a significant data breach, exposing a database containing over one million log lines of sensitive information. Security researchers at Wiz discovered the exposed ClickHouse database was publicly accessible and unauthenticated, allowing full control over database operations without any defense mechanisms. The exposed data included user chat histories, secret API keys, backend details, and other highly sensitive operational metadata. This exposure allowed potential privilege escalation within the DeepSeek environment.
The Wiz research team identified the vulnerability through standard reconnaissance techniques on publicly accessible domains and by discovering unusual, open ports linked to DeepSeek. The affected database was hosted at oauth2callback.deepseek.com:9000 and dev.deepseek.com:9000. Researchers noted the ease of discovery of the exposed data and the potential for malicious actors to have accessed it. DeepSeek has been contacted by security researchers, and has now secured the database after the discovery, however, it remains unclear if unauthorized third-parties were also able to access the information. Recommended read:
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@www.ghacks.net - 18d
Recent security analyses have revealed that the iOS version of DeepSeek, a widely-used AI chatbot developed by a Chinese company, transmits user data unencrypted to servers controlled by ByteDance. This practice exposes users to potential data interception and raises significant privacy concerns. The unencrypted data includes sensitive information such as organization identifiers, software development kit versions, operating system versions, and user-selected languages. Apple's App Transport Security (ATS), designed to enforce secure data transmission, has been globally disabled in the DeepSeek app, further compromising user data security.
Security experts from NowSecure recommend that organizations remove the DeepSeek iOS app from managed and personal devices to mitigate privacy and security risks, noting that the Android version of the app exhibits even less secure behavior. Several U.S. lawmakers are advocating for a ban on the DeepSeek app on government devices, citing concerns over potential data sharing with the Chinese government. This mirrors previous actions against other Chinese-developed apps due to national security considerations. New York State has already banned government employees from using the DeepSeek AI app amid these concerns. Recommended read:
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@www.verdict.co.uk - 14d
OpenAI is shifting its strategy by integrating its o3 technology, rather than releasing it as a standalone AI model. CEO Sam Altman announced this change, stating that GPT-5 will be a comprehensive system incorporating o3, aiming to simplify OpenAI's product offerings. This decision follows the testing of advanced reasoning models, o3 and o3 mini, which were designed to tackle more complex tasks.
Altman emphasized the desire to make AI "just work" for users, acknowledging the complexity of the current model selection process. He expressed dissatisfaction with the 'model picker' feature and aims to return to "magic unified intelligence". The company plans to unify its AI models, eliminating the need for users to manually select which GPT model to use. This integration strategy also includes the upcoming release of GPT-4.5, which Altman describes as their last non-chain-of-thought model. A key goal is to create AI systems capable of using all available tools and adapting their reasoning time based on the task at hand. While GPT-5 will be accessible on the free tier of ChatGPT with standard intelligence, paid subscriptions will offer a higher level of intelligence incorporating voice, search, and deep research capabilities. Recommended read:
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Jibin Joseph@PCMag Middle East ai - 24d
The DeepSeek AI model is facing growing scrutiny over its security vulnerabilities and ethical implications, leading to government bans in Australia, South Korea, and Taiwan, as well as for NASA employees in the US. Cisco researchers found DeepSeek fails to screen out malicious prompts and Dario Amodei of Anthropic has expressed concern over its ability to provide bioweapons-related information.
DeepSeek's lack of adequate guardrails has enabled the model to generate instructions on creating chemical weapons, and even planning terrorist attacks. Furthermore, DeepSeek has been accused of misrepresenting its training costs, with SemiAnalysis estimating that the company invested over $500 million in Nvidia GPUs alone, despite export controls. There are claims the US is investigating whether DeepSeek is acquiring these GPUs through gray market sales via Singapore. Recommended read:
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