FUTURE POWERED by AI

🚀 OpenAI launches ChatGPT Work, your AI coworker is here OpenAI has unveiled ChatGPT Work, a powerful new AI agent inside ChatGPT powered by Codex and GPT-5.6. Instead of just answering questions, it can take action across your apps and files, work on projects for hours, and turn a simple goal into a finished result. What it can do: • Create polished reports, presentations, websites, documents, and analyses. • Use context from your connected apps and files. • Follow your templates and writing style. • Handle entire workflows from a single prompt while you stay in control. Powered by GPT-5.6: The new model is designed for stronger reasoning, long-running tasks, and producing work that matches your preferred format without needing step-by-step instructions.

Today, the European Parliament approved “Chat Control 1.0,” allowing chat surveillance in Brussels. This regulation lets platforms scan private messages, posing as voluntary but enabling extensive monitoring of communications. The measure passed despite opposition, with 314 MEPs voting against it and only 276 in favor. A simple majority wasn't enough; a higher absolute majority was needed. Previously rejected, it was reintroduced just before the summer break, raising concerns about privacy and judicial oversight in digital communication.

❗️The creators of AI 2027 just released a new future scenario called “Plan A” and it’s their blueprint for avoiding an AI catastrophe. Unlike AI 2027, Plan A isn’t a prediction. It’s a policy proposal showing how humanity could navigate the rise of superintelligence without ending up in a dangerous global AI arms race. The idea is simple but ambitious: instead of the U.S., China, and other nations racing in secret to build ever-more-powerful AI, they agree to full transparency in AI research and development. Countries openly share what they’re building, verify each other’s safety measures, and collaborate on the path toward superintelligence. The proposal draws on conversations with experts from leading U.S. AI labs, former OpenAI researchers, lawmakers, national security specialists, and AI governance leaders. The authors argue that this kind of international cooperation would allow many companies across different countries to develop increasingly powerful AI gradually, safely, a...

While most kids her age are busy with homework and video games, 12-year-old Mana Jampala is building AI for small businesses. She created Voxa, an AI receptionist that answers calls 24/7, books appointments, takes restaurant orders, answers customer questions, and summarizes every conversation so businesses never miss another customer. The idea came from a simple problem: her father’s business kept losing customers because no one was available to answer the phone. Instead of complaining about it, she built an AI solution. Even more impressive, Mana started learning Python at 9 years old. She used ChatGPT to help her learn and prototype, later switching to Claude as she built Voxa into a full product. After replacing third-party tools with her own backend, she had the first version running in just two weeks. She’s also launched Voxa Agents, a platform that lets anyone create custom AI agents using plain English, no coding required. Now, at just 12 years old, she’s pitching custom...

According to reports, some AI features in apps like Excel and Outlook are now powered by Microsoft’s own MAI models, with tens of thousands of prompts each week being handled in-house instead of by external AI providers. Why the shift? One word: cost. Running AI across hundreds of millions of Office users is incredibly expensive, and relying on frontier models from outside companies quickly adds up. By using its own models, Microsoft can cut costs while keeping tighter control over performance and infrastructure. The move also aligns with Microsoft’s bigger AI strategy. In June, the company unveiled seven MAI models covering reasoning, coding, image generation, voice, and transcription. Microsoft says its Excel-optimized MAI model can deliver GPT-5.4-level performance while being up to 10× more efficient.

UBTech’s new U1 humanoid robot reportedly received 13,000 orders on its first day. For comparison, Unitree, the world’s biggest humanoid robot maker, shipped around 5,500 robots in all of 2025. Unlike factory robots, the U1 is designed to fight loneliness. It can recognize 20+ emotions, react with facial expressions in under 20 milliseconds, remember your routines and conversations, and stores everything locally instead of in the cloud. China has 118 million empty-nest seniors and 90 million people living alone, making companion robots a rapidly growing market. UBTech also offers custom versions that can look and sound like a real person, a concept that feels straight out of Black Mirror. Prices can exceed $135,000, and battery life is only 2–4 hours. One thing is becoming clear: loneliness is turning into one of AI’s biggest markets.

🗣Mark Cuban’s advice for graduates walking into their first job. Learning AI is no longer optional. "If you’re not the person who knows how to do vibe coding or how to do all these different things with agents and Claude, somebody who does is going to take your place. If your boss enables you to use that extra knowledge, great. If they don’t enable you to use that extra knowledge, they’re not going to be your boss very long. And if the CEO doesn’t understand that, he or she is not going to be the CEO very long. And if they still keep that CEO who’s not using AI to get ahead, you tell me, so I can start a company to kick their ass."

According to Goldman Sachs, the world will pour $7.6 trillion into AI infrastructure between now and 2031. Annual spending is expected to jump from $765 billion in 2026 to a staggering $1.6 trillion by the end of the decade. Where’s all that money going? ⚡ $5.1 trillion will fund AI chips and compute. 🏗️ $2.1 trillion will build massive AI data centers. 🔋 $358 billion will expand the power infrastructure needed to keep them running. The biggest winner? Nvidia. Goldman estimates the chip giant could capture 75% of all AI compute spending, making it the largest direct beneficiary of the AI boom. But it’s not just about GPUs anymore. AI factories are becoming energy monsters. Traditional server racks typically consume 5–15 kW of power, while next-generation AI racks are already pushing 500+ kW. That surge is creating huge opportunities for companies like Vertiv, which specializes in cooling and power systems, and Vistra, which could benefit from the growing need for reliable nucle...

Software engineers face new challenges as they are increasingly required to work with code they did not create. With the rise of artificial intelligence in software development, professionals now spend more time verifying and managing AI-generated code rather than writing it themselves. This shift has added complexity to the engineering process, emphasizing code review and oversight over original development.