Anthropic made a big splash when it announced invisible watermarks for text generated by its Claude models. But if you look more closely, you realize: Other AI vendors are doing the same or are working on similar features. One of the reasons is regulatory pressure: The EU AI Act is one prominent example forcing the …
Users and teams should measure whether AI answers are correct before letting them influence decisions, not merely whether they sound convincing. Arun Mishra writes for VentureBeat that qualitative reviews often miss confident errors because reviewers judge outputs against intuition rather than verified facts. That distinction matters as large language models move beyond drafting and summarising. …
Claude is a powerful and capable AI, but it can sometimes be difficult to steer it in the right direction. This is especially frustrating with recurring tasks. Skills help you with exactly this challenge. They are detailed descriptions that tell Claude how to do something, step by step, with rules, examples, and more. Originally developed …
AI should handle tasks where the result matters more than the process, while people should retain tasks that build their own skills. Bruce Schneier writes for Schneier on Security that the distinction offers a straightforward way to judge when AI assistance is useful and when it may weaken human capability. Schneier describes two categories. “Work” …
Anthropic says the latest generation of Claude models performs better with shorter, clearer background instructions and more room to apply its own judgement. The company reports that it removed more than 80% of the Claude Code system prompt for models including Claude Opus 5 and Claude Fable 5, without a measurable decline in its coding …
AI has been making inroads into our industry for a few years now, and for me it’s become a tool I wouldn’t want to do without. Sometimes it even feels like a partner, but that’s exactly one of the many traps of using AI. In this article, I’ve written down what I’ve personally learned from …
Powerful AI models that companies can download, run and adapt are becoming a serious competitive force against the closed systems offered by OpenAI and Anthropic. A new wave of open-weight models from China, including Moonshot AI’s Kimi K3 and Alibaba’s Qwen 3.8, has sharpened a debate in Washington and Silicon Valley over whether open models …
Companies pour billions into artificial intelligence, yet most fail to turn that investment into measurable business value. Colleen Jones writes for Content Science Review that this disconnect, which she calls the “AI strategy gap,” separates organizations that merely adopt AI tools from those that transform how they create value. The numbers support her argument. MIT …
The AI landscape is going through a big shift: New tools like Claude Cowork, ChatGPT Agent, and others promise to take over everyday work. They go well beyond just generating text or images: They are designed as digital assistants that actively support you and handle complex tasks independently. At least, this is their promise. But …
AI companies advertise ever-larger context windows for their language models, but a developer argues that the usable portion is far smaller than the marketed figures suggest. Garrit Franke writes in his blog Garrit’s Notes that effective model performance begins to degrade around 100,000 tokens, regardless of whether the advertised limit is 200,000, one million, or …