Tencent's Apache-licensed Hy3 takes on GLM-5.2 at half the size — and wins everywhere except coding

Tencent's Hy3 drops the license restrictions that blocked EU and U.K. deployments, cuts hallucination rates in half, and runs ...
Daily Sun

Govt revises honorarium rates for recruitment exams

The government has revised the honorarium and remuneration rates for officials and employees involved in recruitment and ...

How Terrorist Groups Are Using A.I. to Gain an Edge in Battle

A.I. chatbots are not just a propaganda tool for violent extremists but are aiding in bomb construction and attack planning, ...

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.

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 ...
The Business Times

With AI, it’s not about coding better; workers need to think better: Koh Boon Hwee

The tech and investment veteran says humans must bring soft skills to the table and let AI handle the facts Read more at The ...

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, ...
Tech Times

Open Agent Stack Cuts Enterprise AI Cost 10x: NemoClaw Blueprint Ships

NVIDIA and LangChain launched the NemoClaw for LangChain Deep Agents blueprint, pairing the open-weight Nemotron 3 Ultra ...
The Business Times

When the disruptor gets disrupted: How Chinese open-source AI is eating its own industry

Chinese labs have flooded the market with models that are free to download, cheap to run and increasingly hard to dismiss as ...

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 ...

5 More AI Predictions For The Year 2030

Two years ago, we published a list of 5 predictions about AI in the year 2030. The article sparked a lot of fascinating (and ...
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 ...