Peer review is the bottleneck of academic knowledge production — it's slow, inconsistent, and conducted by the same overcommitted researchers who are
2026-05-23
Fine-tuning and prompting are two different ways to adapt a language model's behaviour for a specific task. The decision between them is one of the mo
2026-05-18
Single-agent AI systems have clear limits: context window constraints, the difficulty of parallelising work, and the challenge of maintaining coherent
2026-05-16
AI tools have changed language learning faster than any technology since the audio cassette — but the change is uneven and frequently misunderstood. A
2026-05-13
The Claude API (provided by Anthropic) gives programmatic access to Claude models for developers building applications, tools, and workflows. This gui
2026-05-11
Most developers using LLMs in 2025 know the basics of prompting — clear instructions, examples, breaking tasks into steps. The techniques that actuall
2026-05-09
AI agents — systems where a language model takes sequences of actions, observes the results, and decides what to do next — have moved from a research
2026-05-06
Science communication — explaining research to non-specialists through media, policy briefs, public lectures, and social media — is increasingly expec
2026-05-06
Large language models (LLMs) like GPT-4, Claude, and Gemini are neural networks — but understanding what that means practically, and what distinguishe
2026-05-03
Developers in 2026 have more AI coding assistance options than at any point in history, and the differences between them matter significantly for whic
2026-04-30
