More and more organisations are using Java as foundational language for AI development, with Azul’s 2026 State of Java Survey & Report revealing a significant increase. Last year’s report showed 50% ...
Spark, a lightweight real-time coding model powered by Cerebras hardware and optimized for ultra-low latency performance.
Explore top examples of SAML providers like Okta, Azure AD, and Ping Identity. Learn how to implement SAML SSO for secure enterprise identity management.
This python crash course book on Amazon is great for beginners who want to learn programming. It teaches Python basics step-by-step and includes exercises to help you practice. You’ll build real ...
Writing is often the hardest part of research, even after you’ve done all the background reading and figured out your main ...
OpenAI has spent the past year systematically reducing its dependence on Nvidia. The company signed a massive multi-year deal with AMD in October 2025, struck a $38 billion cloud computing agreement ...
If you want to change ChatGPT's personality, go to the Personalization tab, change its overall base style, and then tune its characteristics. One interesting option is Headers & Lists. You can tweak ...
OpenAI launches GPT-5.3 Codex Spark powered by Cerebras chips, signaling a shift from Nvidia reliance and intensifying the AI infrastructure race.
“Codex-Spark is the first step toward a Codex that works in two complementary modes: real-time collaboration when you want ...
ChatGPT Pro subscribers can try the ultra-low-latency model by updating to the latest versions of the Codex app, CLI, and VS Code extension. OpenAI is also making Codex-Spark available via the API to ...
Interesting Engineering on MSN
GPT-5.3-Codex-Spark delivers ultra-fast real-time AI coding at 1,000 tokens per second
OpenAI has launched GPT-5.3-Codex-Spark, its first AI model built specifically for real-time coding, capable ...
OpenAI has launched GPT-5.3-Codex-Spark, a lightweight real-time coding model that promises faster output, lower latency, and ...
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