Sep 7, 2026 · 4 min listen · Last updated September 7, 2026
From storyflo. This is your daily audio brief. Theo here. September 7th, tech desk. Five stories from the last twenty-four hours — here's where I'd start. Let's get into it. First, from The Decoder. OpenAI reports AI "research interns" and warns about its own pace at the same time.
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OpenAI reports AI "research interns" and warns about its own pace at the same time
OpenAI reports that AI agents in its own research already handle 3.1 workdays for every human workday, and it says it has reached its goal of an "automated research intern." But chief scientist Pachocki warns that no lab has a good enough grip on alignment and monitoring to keep scaling at maximum speed. The article OpenAI reports AI "research interns" and warns about its own pace at the same time appeared first on The Decoder.
MG Ship adds AI route optimisation as logistics returns accelerate
MG Ship has introduced an AI route optimisation and carrier selection module as logistics deployments demonstrate rapid cost and time returns. The technical module targets global retailers and commercial shippers, pairing automated routing algorithms with carrier recommendation systems across international trade corridors. The deployment arrives as enterprise supply chain operators report measurable operational returns from machine learning tools, moving capital allocations away from speculative trials toward production deployments.
Qwen-Drive 1.0 tells you why it brakes, just don't expect the explanation to match the maneuver
Alibaba's research arm has released Qwen-Drive 1.0, an AI model that handles environmental perception, traffic Q&A, and route planning in one system. The researchers show that text-image models don't automatically understand three-dimensional space. Spatial awareness has to be trained on purpose. The goal is a single model that runs both the cockpit and the driving system. The article Qwen-Drive 1.0 tells you why it brakes, just don't expect the explanation to match the maneuver appeared first on The Decoder.
New York City bans AI tools from public schools through eighth grade
Individual screens are off-limits through third grade, and so-called companion chatbots are banned at every grade level. For middle schoolers, the department recommends no more than 45 minutes of screen time a day. Teachers can still use AI to prep lessons, but not for grading. Mayor Zohran Mamdani said the tech industry wants to frame AI education as inevitable, according to the New York Times. The city isn't going along with that. Parent groups like Parents for AI Caution call the rules too weak and want a full two-year moratorium on AI in the classroom.
At UBS, AI skills are now a condition for landing a job
Swiss banking giant UBS is making AI skills a required qualification from 2027 for graduates and interns in Global Banking and Markets, with applicants having to show in interviews how they use AI to improve outcomes and efficiency. Santander is already looking for advanced AI users too, while Morgan Stanley predicts more than 200,000 banking jobs in Europe will disappear within five years. The article At UBS, AI skills are now a condition for landing a job appeared first on The Decoder.
In Kenya, ChatGPT wiped out an entire business model: writing academic papers for foreign students. Thousands of Kenyans wrote essays and term papers for students at universities in the US and UK, in fields like medicine, computer science, and engineering, sometimes using their clients' university logins, the New York Times reports. At its peak early this decade, at least 40,000 people worked in the industry in Nairobi alone, according to researchers. Teresios Bundi, 34, wrote more than 2,500 papers over twelve years and later charged $40 to $70 per text.
Why Most Multi-Agent Systems Fail Even When Evaluation Passes
How to catch a payload that looks correct but isn't, using a watchdog pattern with working Python. The post Why Most Multi-Agent Systems Fail Even When Evaluation Passes appeared first on Towards Data Science.
I Vibe-Coded an App in Just Two Hours (And Regretted It the Next Day)
I saved my day with a mere $52 bill. But you don't have to repeat my mistake. My daughter is three years old. She broke her toy guitar and wants a new one. Instead of another toy guitar, I bought her a real Ukulele. It's small, lightweight, and perfect for a small girl. Besides, it sounds way better than the annoying toy guitar. She loved it. But I'm the one who played with it the most. I don't know how to play the ukulele. I was learning, and it was fun. One Saturday morning, exactly at 7:15 I got an idea for an app.