Most widely cited AI coding benchmarks, including the original SWE-bench, were built primarily around Python repositories, meaning headline performance results may not accurately predict how coding ag ...

Fable 5 is very much like a model I've seen before ...

The Intel 80386 is a rather fascinating slice of computer history. It marked the first 32 bit X86 processor, and was a staple ...

Speculative decoding can help AI chatbots improve throughput and reduce hardware demand by using a smaller model to draft tokens that a larger model validates.

Princeton’s CEO-Bench gave 14 AI models $1 million to run a simulated SaaS startup for 500 days. Most went bankrupt or lost ...

Multi-agent AI agent personality shapes outcomes in collaborative and negotiation workflows but not in structured coding, ...

Security tooling is not written in a single language. Python powers most automation. C sits at the exploit layer. PowerShell ...

June 2026 TIOBE Index shows Python slipping below 19%, C++ moving back ahead of Java, and Rust reaching #12 as Paul Jansen revises his plateau call.

Kimi K2.7-Code claims 30% fewer thinking tokens and a drop-in API swap path, but independent benchmarks show kernel regressions and no DeepSWE submission.

Abstract: Our research focuses on the intersection of artificial intelligence (AI) and software development, particularly the role of AI models in automating code generation. With advancements in ...

Abstract: Despite many decades of evolution in navigation algorithm techniques, improving the performance of well understood and accepted workhorse algorithms remains an active research area.