OpenAI just dropped two brand-new models, GPT-5.4 mini and GPT-5.4 nano, which are specifically designed to give us high-end intelligence at much faster speeds and lower costs. - GPT-5.4 mini runs 2x faster than the previous mini model while nearly matching the flagship GPT-5.4 on complex coding and reasoning benchmarks. - The new models are built for "subagent" workflows where a large model plans the work and these smaller models execute the specific tasks in parallel. - GPT-5.4 mini features a huge 400k context window in the API, making it perfect for processing long documents or large codebases without breaking the bank. - Pricing is incredibly aggressive with the nano model costing only $0.20 per 1M input tokens and $1.25 per 1M output tokens for high-volume tasks. - These models excel at "computer use" tasks like interpreting dense screenshots of user interfaces to complete actions with low latency. - Free and Go users in ChatGPT can already access the mini model through the "Thinking" feature in the plus menu. Article link: https://openai.com/index/introducing-gpt-5-4-mini-and-nano

Claude just added a beta feature where it can create interactive charts, diagrams, and visualizations directly inside the chat, and then update them as the conversation changes. - Inline interactive charts and diagrams, built in the response - No code needed, just ask things like “draw this as a diagram” or “visualize how this changes over time” - Claude can decide when a visual helps, or you can request one explicitly - Visuals are temporary and evolve with the chat, optimized for understanding in the moment - Different from Artifacts, which are meant to be saved, shared, and downloaded as more polished deliverables - Examples include interactive compound interest curves and a clickable periodic table - Available on all plan types and on by default - Signals the bigger trend: AI outputs shifting from text-only to dynamic, interactive UI that supports decision-making and automation Curious how you guys would use this in your workflows, would you trust an AI-generated visual as the source of truth in a report or dashboard, or only as a thinking tool? Read the full article here: https://claude.com/blog/claude-builds-visuals

Happy March! A few announcements: 💰 $250 CASH Prize Winners 💰 Congrats to our AWA PRO top 5 leaders for the month of February! I'll be sending $50 each your way as a huge thank you! Winners: @Jelord Chien @Dave Delaney @Mike Lynch @Sam Abdallah @Ben Williams 💎 New Template 💎 AI Avatar Videos - HeyGen 👉 View here 🎙️ Live Q&A with Ming Xu 🎙️ This Saturday at 3pm MST. We’re diving into how to land AI clients and execute voice AI projects the right way. Bring your questions. 👉 View here Come join us over in AWA PRO! https://www.skool.com/automate-what-academy-pro/about

Don't forget to get Gemini API 300 credits! Start from : 💎 500+ Exclusive Deals 1 Fast speed! 2 Traditional Chinese words are correct!

Anthropic is launching a research preview of Claude Code Security, an AI tool designed to think like a human researcher to find and fix deep-seated vulnerabilities that traditional scanners usually miss. - Claude Opus 4.6 recently uncovered over 500 vulnerabilities in open-source code that had been hidden for decades. - The tool moves beyond simple rule-based scanning by reasoning through business logic and data flows just like a pro security analyst. - Every finding goes through a multi-stage verification process to filter out false positives and assign a severity rating. - It suggests targeted software patches for human review, meaning we stay in control while the AI does the heavy lifting. - This shifts the advantage to defenders, allowing teams to patch weaknesses before attackers can use AI to exploit them. Do you guys think AI-driven security will eventually make traditional manual code audits obsolete? Read more: https://www.anthropic.com/news/claude-code-security