Moonshot AI's 2.8-trillion-parameter model Kimi K3 tops Anthropic's Claude Fable 5 and OpenAI's GPT 5.6 Sol on impressive ...

PrismML has introduced Bonsai 27B, the first 27 billion parameter AI model designed to run on a smartphone. Through an ...

Govt Job Portal to get info about latest Govt Jobs in India.10th, 12th pass Govt jobs.Best courses after 12th class. Defense ...

Anthropic PBC today debuted Claude Sonnet 5, a midrange large language model that outperforms its predecessor in several areas. The LLM will be the default option in the consumer tiers of the ...

Karnataka is planning to bring STEAM-based education to government schools, introducing areas like robotics and coding as part of regular classroom learning. The move is aimed at helping students ...

Today, Chinese AI startup Z.ai (formerly Zhipu AI) announced the immediate release of GLM-5.2, a 753-billion parameter open-weights large language model (LLM) engineered specifically to dominate "long ...

Bill Ackman has bet heavily on Microsoft shares, suggesting the stock's AI-driven upside remains undervalued by the market. Act now: the analyst who called NVIDIA in 2010 just named his top 10 AI ...

When Kenyan tech entrepreneur Paul Akwabi visited a juvenile prison on the outskirts of Mombasa, he didn’t see young criminals — he saw himself. “I thought, ‘This could have been me,’” Akwabi recalled ...

The hippocampus helps us remember where we are and how we feel in different situations. We studied how the hippocampus combines location and affective experiences by recording activity from specific ...

Looking forward to Deepseek integrating this into their next LLM in a few weeks and cutting costs by half yet again. Not sure how the American AI companies are supposed to ever achieve profit. AI ...

Anthropic launched Claude Fable 5 on June 9, calling it the most powerful AI model the company has made widely available. But the release comes with a catch: some of the model’s most sensitive ...

Gemini 3.5 Flash is shockingly fast at generating code and spinning up agents, but that speed comes at a cost: sloppy execution, ignored instructions, and frequent mistakes that break real workflows.