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Developers have a new opportunity to build and make money with ChatGPT. With Plugin Extensions, the Agents API, Computer Use and new MCPs, developers can build applications, dashboards, editors and niche tools that solve real business problems.
ChatGPT Dots are here, and these new OpenAI agents run on GPT-6 Astra. These AI assistants are awake 24/7, have their own computer with 4,000+ apps and can think like a PhD. The shift is now moving from simply building better AI models to building agents that can actually think and act using them.
#sponsored Get your 30-day free trial here! → https://gohighlevel.com/aimaster 🚀 Learn how to master ChatGPT with AI Master → https://aimaster.me/yt/chat_gpt_course 🤝 Exclusive brand partnership → https://aimaster.me/collab What if you could learn everything you need to know about ChatGPT in one…
In this video, we will learn how to install Google's open-source Gemma 4 model on an HP OmniBook 5, and use it without the internet. I will drop six months of credit card statements into it and it will give me comp; It read the whole thing and returned a categorised expense breakdown.
What If AI Could Cure Every Disease? Everyone fears AI taking jobs. Almost nobody talks about this. Job loss is a real concern. But AI could also help solve every disease. That is the mission of Nobel Prize winner Demis Hassabis.
Is AI replacing data analysts? Naveen (Lead data analyst at Codebasics), shows how AI has changed his daily job, with 5 live demos you can copy. The data analyst job in the AI era is shifting.
Jev is a new AI that is making news and it doesn't chat. You can use it do small classification tasks. In this video, we take one real support ticket from a customer named Alan and follow it all the way through: what we send Jev, what comes back, and how the program decides what to do with the…
Is your Kubernetes application leaking production API keys? 🚨 Standard Kubernetes Secrets are only Base64-encoded and sit unencrypted in etcd by default. If developers dump environment variables to debug an issue, sensitive Stripe keys end up readable by anyone in logging tools like Datadog!
👉 AI Agents Studio : https://www.youtube.com/channel/UCAawqobkJZ28OLcYcMgqYaw?sub_confirmation=1 "This video covers the top trending AI Agent projects this week.
🚀 Try Fellow AI free: https://fellow.ai/ "Is Fellow the best AI meeting note taker in 2026? In this review I test Fellow — the AI meeting assistant that records meetings, creates transcripts and summaries, tracks action items, and organizes follow-up work — on real calls, and give you my honest…
Get Spam-Free Health Insurance Advice👇🏻 https://ditto.sh/cu40z7 If you are a copyright owner and believe your work has been used improperly, please contact us at writers@thethinkschool.com for prompt removal or credit.
How to Make a Perfect Resume for Software Jobs | Resume Tips 2026 Instagram: https://www.instagram.com/ez_ka_fan/ Live Channel: https://youtube.com/@ezLiveOfficial?si=TzAev-u Twitter: https://x.com/ezSnippet CREDIT: @ezLiveOfficial 👉About This Video: This video has been independently edited,…
Last 6 days to Join our AI FDE Bootcamp Enrollment link: https://www.krishnaik.in/liveclass2/Forward_Deployed_Engineer?id=14 Reach out to Krish Naik's counselling team on 📞 +919111533440 or +918484837781 in case of any queries we are there to help you out.
Ola Hungerford, principal engineer at Nordstrom and an MCP maintainer, explains the new Skills extension for the Model Context Protocol and how it went from an open question to an accepted spec change.
Join us at AGNTCon + MCPCon NA 2026 https://hubs.la/Q04gbXLb0 MCP-Powered Crash Investigation: How 11 MCP Servers Help an AI Agent Debug Production Issues at Uber - Kriti Dangi, Uber Debugging eats 42% of developer time — $300B lost globally every year. On an average, fixing an issue takes 15 days.
Get started with Kestra for FREE: https://fandf.co/4j3jT8t In this video, you will learn how the future of infrastructure management is not DevOps or AI but DevOps and AI. I will walk you through a detailed demo to show 1.
Jev uses an encoder only architecture, unlike GPT that uses a decoder only architecture. This is a breakdown of how it works internally. References: https://typesafe.ai/blog/introducing-system-one-models-and-jev https://www.langchain.com/blog/building-prod-with-jev-and-langgraph…
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