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Anthropic’s powerful Claude Fable 5 is back. Skip the complex coding tests—try these 5 everyday prompts to see what the new AI model can really do.
Use coding agents to power your knowledge base The post How to Build a Powerful LLM Knowledge Base appeared first on Towards Data Science.
Most search agents try to handle too many jobs at once. They generate new queries, remember what they have already explored, collect evidence, and decide what is relevant as the search keeps expanding. That can make the whole process messy, expensive, and hard to control. Harness-1 takes a simpler a
Hey everyone! The wait’s over — the 7-Day Voice AI Builder Challenge is officially open! Join us for the 7-Day Voice AI Builder Challenge and learn how to build AI coding assistants that know exactly when to pick up the phone and call you the moment they need human intervention. The competition kick
The Lab of week 2 is not opening. Whenever I click start lab it is giving a pop up saying account cleanup is still In Progress. 1 post - 1 participant Read full topic
I believe that chatbots have no place in a decent society, and am repelled by the topic of AI in general. But could I be seduced? I received a text message from my editor: “Um, is it unethical to ask you to get an AI bf?? You can prob say no.” Resentment. Contempt! Sorrow. Unease. I love text messag
Large language models usually generate text one token at a time. While this autoregressive approach delivers strong quality and instruction following, it can be inefficient for local users because GPUs often spend more time moving weights from memory than doing parallel compute. Google DeepMind’s Di
Picture a call to a wellness-clinic agent. The caller asks what a primary service costs. Nothing in the agent's system prompt mentions a price. The agent says "$179 to start." The clinic doesn't charge $179 for that service. One call. One sentence. A made-up number that the customer is now repeating
I spent a week adding AI features to my developer tool suite. Natural language to regex. AI-powered SQL query explanations. The kind of features you'd expect in a 2026 product. They worked. Users could finally describe what they wanted in plain English and get a real answer back. Then I ripped the A
One year after launch, see how AI Mode’s users are shifting from keywords to natural language queries.
