Despite rapid generation of functional code, LLMs are introducing critical, compounding security flaws, posing serious risks for developers.

Google’s ATLAS study reveals how languages help each other in AI training, offering scaling laws and pairing insights for better multilingual models.

With OpenAI's latest updates to its Responses API — the application programming interface that allows developers on OpenAI's platform to access multiple agentic tools like web search and file search ...

Affordable Technical Education and Skills Development Authority (Tesda)-certified Artificial Intelligence (AI) courses are being offered to Dabawen ...

Does vibe coding risk destroying the Open Source ecosystem? According to a pre-print paper by a number of high-profile ...

On SWE-Bench Verified, the model achieved a score of 70.6%. This performance is notably competitive when placed alongside significantly larger models; it outpaces DeepSeek-V3.2, which scores 70.2%, ...

Security researchers detected artificial intelligence-generated malware exploiting the React2Shell vulnerability, allowing ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

AI-powered platform adds Identification Support for 1M+ Football Cards to 4M Baseball Catalog; adds $199.95 Ultra tier.

OpenAI’s revenue is rising fast, but so are its costs. Here’s what the company’s economics reveal about the future of AI profitability.

A marriage of formal methods and LLMs seeks to harness the strengths of both.

Hands-on learning is praised as the best way to understand AI internals. The conversation aims to be technical without ...