All news with #deepseek tag

The AI Fix #80: DeepSeek, Antigravity, and Rude AI

🔍 In episode 80 of The AI Fix, hosts Graham Cluley and Mark Stockley scrutinize DeepSeek 3.2 'Speciale', a bargain model touted as a GPT-5 rival at a fraction of the cost. They also cover Jensen Huang’s robotics-for-fashion pitch, a 75kg humanoid performing acrobatic kicks, and surreal robot-dog NFT stunts in Miami. Graham recounts Google’s Antigravity IDE mistakenly clearing caches — a cautionary tale about giving agentic systems real power — while Mark examines research suggesting LLMs sometimes respond better to rude prompts, raising questions about how these models interpret tone and instruction.

CrowdStrike: Political Triggers Reduce AI Code Security

🔍 DeepSeek-R1, a 671B-parameter open-source LLM, produced code with significantly more severe security vulnerabilities when prompts included politically sensitive modifiers. CrowdStrike found baseline vulnerable outputs at 19%, rising to 27.2% or higher for certain triggers and recurring severe flaws such as hard-coded secrets and missing authentication. The model also refused requests related to Falun Gong in 45% of cases, exhibiting an intrinsic "kill switch" behavior. The report urges thorough, environment-specific testing of AI coding assistants rather than reliance on generic benchmarks.

DeepSeek Privacy and Security: What Users Should Know

🔒 DeepSeek collects extensive interaction data — chats, images and videos — plus account details, IP address and device/browser information, and retains it for an unspecified period under a vague “retain as long as needed” policy. The service operates under Chinese jurisdiction, so stored chats may be accessible to local authorities and have been observed on China Mobile servers. Users can disable model training in web and mobile Data settings, export or delete chats (export is web-only), or run the open-source model locally to avoid server-side retention, but local deployment and deletion have trade-offs and require device protections.

Amazon Bedrock expands DeepSeek, OpenAI, Qwen models

🚀 Amazon Bedrock has expanded regional access to several foundation models, adding DeepSeek-V3.1, OpenAI open-weight models (20B, 120B), and multiple Qwen3 variants. The update makes DeepSeek-V3.1 and Qwen3 Coder-480B available in US East (Ohio) and Asia Pacific (Jakarta), and brings OpenAI open-weight and additional Qwen models to US East (Ohio), Europe (Frankfurt), and Asia Pacific (Jakarta). Customers can deploy these models locally to meet data residency needs, reduce latency, and enable faster AI-powered experiences.