What is GLM-5.2: China’s AI model challenging Anthropic’s Claude Fable 5 in coding and long-context reasoning

In recent days, a new large language model from China has started circulating through technical circles with an unusual mix of curiosity and skepticism attached to it. The Chinese model, GLM-5.2, ...

DeepSeek open sources DSpark, a new framework to speed up LLM inference by up to 85%

DSpark can make decoding faster, but acceptance quality still determines how much speed the system actually realizes.

Z.ai’s open-weights GLM-5.2 beats GPT-5.5 on multiple long-horizon coding benchmarks for 1/6th the cost

It allows engineering teams to host frontier-level AI on their own sovereign infrastructure, entirely eliminating vendor lock ...

Cotton Corporation of India (CCI) Syllabus 2026: Check Subject-Wise Topics & Exam Pattern Here

CCI Syllabus 2026: Cotton Corporation of India has released the recruitment notification for a total of 148 posts, including ...
Tech Times

Diffusion LLM Learns to Be Its Own Draft Model: NVIDIA Releases Tri-Mode Open Weights

Nemotron-Labs-Diffusion, NVIDIA’s new tri-mode language model, eliminates the separate draft model in speculative decoding: ...
Computerworld

Z.ai pitches GLM-5.2 for long-running software engineering tasks

The open-source model combines a one-million-token context window with architectural updates aimed at lowering the cost of repository-scale AI coding. Z.ai has released GLM-5.2, an MIT-licensed ...
The Financial Express

What is GLM-5.2? Chinese AI model making Silicon Valley sit up again

Explore the Chinese open-source AI model challenging OpenAI and Anthropic with powerful coding abilities, agentic workflows, and frontier-level performance.
Tech Times

Compile Once, Run Offline: New AI Method Matches 32B Models With a 23MB File

Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2 ...

Waterloo's PAW compiles task specs into 23MB LoRA adapters a 600M-parameter model runs entirely offline.

Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2 ...