Welcome back, AI Enthusiasts!
In today’s AI summary rundown:
Microsoft today integrated GPT‑5 into Copilot across platform Microsoft 365 Copilot, GitHub Copilot, Azure AI Foundry, and consumer Copilot apps.
A new “smart mode” in Copilot allows the system to choose either fast or deeply reasoned responses based on the task, without user intervention.
Microsoft 365 Copilot users now benefit from improved capabilities in complex thinking, longer conversations, and understanding nuanced user context.
Paid GitHub Copilot plans now include GPT‑5 support aimed at boosting code quality and reasoning during development.
Developers using Azure AI Foundry can utilize GPT‑5 via a model router, ensuring the most suitable GPT‑5 variant is selected for each task.
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Insight: Six Ways GPT‑5 Is Game‑Changing ChatGPT
Model picker is gone smart default takes over
ChatGPT now defaults to GPT‑5 and automatically decides whether to give a quick answer or dive deep, based on what you're asking. Plus, paid users still get access to “GPT‑5 Thinking” and higher‑reasoning options.
Pick your chatbot’s persona
You can now switch between four pre-set personalities- Cynic, Robot, Listener, and Nerd to match your style, no custom prompting required.
Smarter “vibe coding” and Canvas previews
Writing code feels more natural. GPT‑5 now better understands your intent, and you can preview output in a Canvas right in the chat with no context switching.
Make it yours UI customization
Custom accent colors are in. Chat’s looking less formulaic and more you.
Voice mode gets a boost, Gmail and Calendar integrations coming
Voice interactions feel more seamless, and Pro users will soon be able to tie ChatGPT into Gmail and Google Calendar scheduling and emails become part of the conversation.
AI Training: Tutorial of the Day
🎓 AI Tutorial of the Day
Using ‘Background Conversations’ in ChatGPT
What it is:
Background Conversations let you run multiple chats at once—so you can multitask without losing context.
How to Use It:
Start a new chat anytime without closing the current one
Switch between chats from the sidebar
Keep tasks separate (e.g. coding in one, research in another)
Rename chats for easy reference
Each thread remembers its own context
Why it’s useful:
No more copy-pasting. No more losing track. Just smooth, focused multitasking.

Quirky AI Tools
That internal Google‑for‑your‑company vibe. Glean taps into your org’s data from Slack and Google Drive to internal wikis and makes it instantly searchable. It’s AI‑powered, it personalizes results, and it can even generate summaries or suggest next steps using agents you build with plain prompts. Big numbers behind it: APIs from OpenAI, $100 million recurring revenue in 2024, and valuation north of $4.6 billion. Super useful when employees are saved from hunting through Slack threads or lost docs rumor has it Super.com cut 1,500 hours a month thanks to Glean Business Insider.
Imagine your IDE but with brain: Cursor is a VS Code fork powered by AI. It predicts multi‑line code edits, handles natural‑language prompts ("update this class") and can query across your codebase. It even offers a “privacy mode” so your code doesn't get sent to the cloud and it’s SOC 2 certified. Fast‑growing and popular: Cursor’s parent, Anysphere, is now valued at $9 billion and powers millions of devs at places like Stripe, OpenAI, and Spotify.
Think of Owkin as an AI deep‑diving into cancer biology. This French biotech uses agentic AI and federated learning to train models on hospital data without the data ever leaving its home base. The goal: spot new biomarkers, improve diagnostics, and speed up drug R&D. They work with pharma heavyweights like Sanofi, AstraZeneca, Bristol‑Myers Squibb, and MSD.
Imagine S3 storage, but free, super fast, and deployable anywhere from local servers to Kubernetes and clouds. That’s MinIO in a nutshell: open‑source, S3‑compatible, built in Go, and fine‑tuned for AI, analytics, and data lakes. It’s especially loved where massive unstructured data like images, logs, or models has to scale efficiently.
Trending AI Startups
Built for recruiters, Metaview is an AI notetaker that does more than transcribe; it organizes structured notes, scorecards, and interview insights, so interviewers stay present during calls and hiring moves faster. Trusted by over 3,000 customers, it just rolled out a “Multi‑source” feature that pulls context from conversations, job descriptions, resumes, and rubrics to deliver sharper summaries and recommendations.
An intelligent assistant for self-storage businesses. Swivl’s AI bots handle tenant interactions answering questions about billing, gate codes, and reservations—24/7, freeing up staff. It’s proven to resolve upward of 80% of inquiries autonomously and recently partnered with Storagely to automate bookings and customer engagement in one seamless flow.
This is materials science, reimagined. Mat3ra offers a full-stack, cloud-native platform for materials modeling letting scientists design compounds, run simulations, and train AI models all in one place. It’s a tool for industries like semiconductors and energy that accelerates R&D from atom to application, now part of the AI Alliance led by IBM and Meta.
Think social Pinterest, but for shopping. Locker lets you save products via a Chrome extension or app into organized, shareable collections. It’s a low-pressure, consumer-first space for curating wishlists, discovering style, and earning small rewards through referrals—not influencer marketing, just real shopping.
AI-Generated Image of the Day

Prompt: A professional visa officer sitting at a modern immigration desk inside an international airport. The officer, dressed in a crisp navy-blue uniform, is calmly reviewing a traveler's passport with focused attention. The background features soft lighting, a world map on the wall, and a digital queue screen. The scene should feel realistic, official, and welcoming, without any text or logos.
Tip: the more specific the better
Question of the Day
How Do You Think AI Impacts Extreme Sports and Human Limits?
- AI could push the boundaries of extreme sports by analyzing performance data to enhance safety and improve techniques.
- The application of AI in extreme sports might lead to ethical concerns about the augmentation of human capabilities and the spirit of fair competition.
- AI in extreme sports offers opportunities for personalized training programs but raises questions about the reliance on technology for safety and decision-making.
- The integration of AI into extreme sports challenges traditional views on risk, adventure, and human endurance.
Today’s Meme

That’s a Wrap
That’s it for today’s news in the world of AI!
If you have anything interesting to share, please reach out to us by sending us a DM on Twitter: @dthareja or email me at [email protected]
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