DeepSeek-R1’s Monday release has sent shockwaves through the AI community, disrupting assumptions about what’s required to achieve cutting-edge AI performance. This story focuses on exactly how DeepSeek managed this feat,
Learn more about OpenAI’s Operator, the AI agent for online task automation. This review of its features, use cases and limitations provides
DeepSeek-R1 is the groundbreaking reasoning model introduced by China-based DeepSeek AI Lab. This model sets a new benchmark in reasoning capabilities for open-source AI. As detailed in the accompanying research paper,
DeepSeek’s R1 AI model competes with OpenAI’s o1 reasoning model across math, coding, and science on an even playing field at 3% of the cost.
The company developed DeepSeek-R1 by using pure reinforcement learning on top of DeepSeek-V3-Base, and matched or beat o1 on some benchmarks.
The AI agent is powered by Computer-Using Agent (CUA), a model combining GPT-4’s vision capabilities with advanced reasoning through reinforcement learning.
The agent will be available first in the US to subscribers of ChatGPT Pro.
AI agents have the potential to transform industries by automating tasks, personalizing interactions, and improving efficiency.
OpenAI plans to expand access to Operator across more user tiers and integrate its capabilities into ChatGPT, broadening its availability and utility. Until then, OpenAI just announced that its latest model, o3-mini is available for free, giving users even more ways to use its chatbot.
China’s growing influence in AI is evident as companies like DeepSeek, Alibaba, and Moonshot AI are challenging the traditional dominance of US tech giants
Qwen-2.5 Max AI model by Alibaba outperforms DeepSeek-v3 and rivals GPT-4. Offering advanced coding, math, and vision-language solutions with