FlagThis - #MachineLearning

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.


References :

• aws.amazon.com: DeepSeek R1 models now available on AWS
• www.pcguide.com: DeepSeek GPU benchmarks reveal AMD’s Radeon RX 7900 XTX outperforming the RTX 4090
• www.tomshardware.com: U.S. investigates whether DeepSeek smuggled Nvidia AI GPUs via Singapore
• www.wired.com: Article details challenges of testing and breaking DeepSeek's AI safety guardrails.
• decodebuzzing.medium.com: Benchmarking ChatGPT, Qwen, and DeepSeek on Real-World AI Tasks
• medium.com: The blog post emphasizes the use of DeepSeek-R1 in a Retrieval-Augmented Generation (RAG) chatbot. It underscores its comparability in performance to OpenAI's o1 model and its role in creating a chatbot capable of handling document uploads, information extraction, and generating context-aware responses.
• www.aiwire.net: This article highlights the cost-effectiveness of DeepSeek's R1 model in training, noting its training on a significantly smaller cluster of older GPUs compared to leading models from OpenAI and others, which are known to have used far more extensive resources.
• futurism.com: OpenAI CEO Sam Altman has since congratulated DeepSeek for its "impressive" R1 reasoning model, he promised spooked investors to "deliver much better models."
• AWS Machine Learning Blog: Protect your DeepSeek model deployments with Amazon Bedrock Guardrails
• mobinetai.com: DeepSeek is a catastrophically broken model with non-existent, typical shoddy Chinese safety measures that take 60 seconds to dismantle.
• AI Alignment Forum: Illusory Safety: Redteaming DeepSeek R1 and the Strongest Fine-Tunable Models of OpenAI, Anthropic, and Google
• Pivot to AI: Of course DeepSeek lied about its training costs, as we had strongly suspected.
• Unite.AI: Artificial Intelligence (AI) is no longer just a technological breakthrough but a battleground for global power, economic influence, and national security.
• cset.georgetown.edu: China’s ability to launch DeepSeek’s popular chatbot draws US government panel’s scrutiny
• neuralmagic.com: Enhancing DeepSeek Models with MLA and FP8 Optimizations in vLLM
• www.unite.ai: Blog post about DeepSeek and the global power shift.
• cset.georgetown.edu: This article discusses DeepSeek and its impact on the US-China AI race.

Classification:

• HashTags: #DeepSeekAI #AIModels #MachineLearning
• Company: DeepSeek
• Product: R1
• Feature: reasoning
• Type: AI
• Severity: Medium

Quantum computing is rapidly advancing with significant implications for various fields, particularly in the areas of randomness and security. Researchers are exploring the use of quantum computing to redefine randomness and enhance machine learning through technologies such as Quantum Support Vector Machines. These advancements highlight the technology's potential to revolutionize data analysis and processing. Simultaneously, there is a growing focus on developing quantum-resistant encryption methods to protect internet security from future quantum computer attacks. This is vital, as traditional encryption methods could become vulnerable to the power of quantum computing.

The pursuit of robust quantum encryption is evident in recent developments, including the work of cryptographers designing encryption methods that are invulnerable to quantum computers. Additionally, Russia has unveiled a 50-qubit quantum computer prototype, signaling a major step in their quantum computing roadmap and a move towards increased quantum capabilities. Furthermore, institutions like IonQ and Oak Ridge National Laboratory are working on noise-tolerant quantum computing techniques, advancing the technology towards practical applications and commercial availability. These advances all underscore quantum computing's increasing importance as a pivotal technology for the future.


References :

• medium.com: Quantum Computing and Its Impact on Cryptography
• medium.com: Quantum Computing: The Future of Computing Power
• insidehpc.com: Oak Ridge and IonQ Report ‘Noise Tolerant’ Quantum Computing Advance

Classification:

• HashTags: #QuantumComputing #MachineLearning #Cryptography
• Target: AI and Security Researchers
• Product: Quantum Computing
• Feature: Quantum Computing Advances
• Type: Research
• Severity: Informative