Kling 2.1 is set to launch in just a few days, and early previews suggest it could be a serious alternative to VEO 3. The improvements in video quality and a more flexible pricing model have caught a lot of attention. While I haven’t tested it yet, I’ve been following the comparisons between Kling 2.0 and 2.1, and the differences seem promising. There’s also new information about VEO 3’s pricing that adds an interesting layer to the mix. If you’re using AI tools for text-to-video or image-to-video creation, this release might be worth keeping an eye on. Anyone here planning to test Kling 2.1 when it goes live?

A few days ago, I was checking job platforms to help a friend who’s thinking about changing careers. While browsing, I came across more and more listings asking for AI skills. Not just in tech, but in totally unexpected industries. One post was looking for people who can use tools like Heygen, Krea, N8N, Midjourney, Make, Kling, and more — for content creation, automation, video, and sales funnels. Another one was from a construction company hiring an AI expert to help improve internal processes, analyze data, and build smart tools. It made me realize, AI is no longer a nice-to-have. Companies are hiring, and fast. If you’ve seen other real-world examples of AI being used in your field, I’d love to hear them. Where have you seen AI being used in practice? Let’s share some ideas below. What jobs did you see lately?

Anthropic just released Claude Opus 4 and Claude Sonnet 4 - their most advanced AI models yet. - Claude Opus 4 is the top coding model in the world (72.5% on SWE-bench), designed for long, complex tasks and agent workflows. - Claude Sonnet 4 is a powerful upgrade to version 3.7, offering better reasoning, sharper code output (72.7% SWE-bench), and faster responses. New capabilities include: - Tool use during reasoning (e.g. web search) - Parallel tools and file-based memory - Native coding integrations (VS Code, JetBrains) - New API tools: code execution, MCP, Files API, and prompt caching Both models support fast replies or deep thinking at the same price as before. Available now via Anthropic API, Amazon Bedrock, and Google Cloud Vertex AI. Opus = performance for agents and research Sonnet = ideal for daily dev work https://www.anthropic.com/news/claude-4 What do you think ?

Here’s a quick roundup of the latest breakthroughs that anyone building with automation and AI should follow: - OpenAI’s Codex upgrade - Google’s Coding Agent - Windsurf SWE-1 models - Notion’s new AI built for work - Tencent’s Multimodal Video model - ChatGPT 4.1 with PDF export support - Meta’s Collaborative Reasoner - ElevenLabs Infinite Soundboard These advancements are redefining what’s possible with agents, content creation, and workflow automation. I’m currently testing how some of them plug into n8n and Make

OpenAI just released their official GPT-4.1 Prompting Guide with tips for writing better prompts and handling complex tasks. It covers: - Agentic Workflows – guiding multi-step reasoning - Long Context – using the extended context window - Chain of Thought – encouraging step-by-step reasoning - Instruction Following – clearer task interpretation - Prompting Tips – structure, formatting, token management Read it here https://cookbook.openai.com/examples/gpt4-1_prompting_guide Let me know how you’re using this.