OpenAI Launches GDPval to Measure AI’s Impact on Real-World Work and Productivity
Discover GDPval by OpenAI, the new benchmark that evaluates AI performance on real-world work, expert grading, and economic productivity.
Breaking news
- OpenAI Launches GDPval to Measure AI’s Impact on Real-World Work and Productivity
- OLMoASR Explained: Architecture, Benchmarks, and How It Stands Against Whisper
- OpenAI Unveils GPT-OSS-120B and GPT-OSS-20B: The Most Powerful Open-Weight Language Models Ever Released
- SWE-Perf: TikTok’s Groundbreaking Benchmark for Repository-Level Code Performance Optimization
- Amazon Releases Kiro: An IDE that Redefines AI-Driven Software Development with Agentic Automation
- Mistral AI Launches Devstral 2507: Advancing Code-Centric Language Modeling for Developers
- Top 5 No-Code AI Platforms to Build Powerful AI Agents (2025 Guide)
- Google AI Launches Gemini CLI – The Open‑Source AI Agent for Your Terminal
- Microsoft Launches Code Researcher: An AI Agent for Autonomous Debugging of Large-Scale System Code
- NVIDIA Launches Llama Nemotron Nano VL: A Lightweight Vision-Language Model for Advanced Document Understanding
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OpenAI Launches GDPval to Measure AI’s Impact on Real-World Work and Productivity
Discover GDPval by OpenAI, the new benchmark that evaluates AI performance on real-world work, expert grading, and economic productivity.
OLMoASR Explained: Architecture, Benchmarks, and How It Stands Against Whisper
Explore OLMoASR’s architecture, benchmarks, and how it compares with OpenAI Whisper in open-source speech recognition
OpenAI Unveils GPT-OSS-120B and GPT-OSS-20B: The Most Powerful Open-Weight Language Models Ever Released
OpenAI releases GPT-OSS-120B and GPT-OSS-20B, powerful open-weight LLMs for edge and enterprise AI. Learn how these Apache 2.0 licensed models are redefining performance, privacy, and accessibility.
SWE-Perf: TikTok’s Groundbreaking Benchmark for Repository-Level Code Performance Optimization
TikTok’s SWE-Perf sets a new benchmark for testing LLMs on real-world code performance optimization at the repository level—bridging AI and engineering needs.
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