back
Get SIGNAL/NOISE in your inbox daily
Many AI benchmarks use algorithmic scoring to evaluate how well AI systems perform on some set of tasks. However, AI systems often produce code that scores well but isn’t production-ready due to issues with test coverage, formatting, and code quality. This helps explain why AI tools show less productivity improvement than expected despite strong performance on coding benchmarks.
Recent Stories
Jan 19, 2026
Chef Robotics and Packline Partner for Automated Food Manufacturing Solution
The companies have developed a wireless integration that enables seamless end-to-end communication between Chef’s and Packline’s equipment throughout the production line.
Jan 19, 2026AI Has A Brand Problem And Entertainment Is The Fix
AI is reshaping brand strategy. As agentic AI scales content marketing, brands must build entertainment fields, creating loyalty and gravity beyond transactions.
Jan 19, 2026Andreessen Horowitz makes a $3 billion bet that there’s no AI bubble
The venture capital firm, which goes by the nickname a16z, set up a dedicated $1.25 billion war chest in 2024 for bets on AI infrastructure, a term that the fund defines more broadly than the costl…