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- Ep 716: ChatGPT’s new Deep Research Update: 5 Ways You Can Use it Today
Ep 716: ChatGPT’s new Deep Research Update: 5 Ways You Can Use it Today
Former presidential candidates says AI will take 50% of jobs, NVIDIA and Meta’s blockbuster AI deal, World Labs raises $1 billion and more.
Everyday AI
February 18, 2026
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Today in Everyday AI
8 minute read
🎙 Daily Podcast Episode: You prolly missed ChatGPT’s huge Deep Research drop. We didn’t. We give you the details. Give today’s show a watch/read/listen.
🕵️♂️ Fresh Finds: New updates on Apple’s AI hardware, Google Gemini gets aI music update and why AI slop is destroying the internet. Read on for Fresh Finds.
🗞 Byte Sized Daily AI News: Former presidential candidates says AI will take 50% of jobs, NVIDIA and Meta’s blockbuster AI deal, World Labs raises $1 billion and more. Read on for Byte Sized News.
💪 Leverage AI: So what are the advantages of ChatGPT’s new Deep Research release? We give you all the details, and 5 simple use cases. Keep reading for that!
↩️ Don’t miss out: Miss our last newsletter? We covered: Grok 4.20 Released, Claude's new Sonnet model, Figma Teams Up with Anthropic for AI-Powered Design Tool and more. Check it here!
Ep 716: ChatGPT’s new Deep Research Update: 5 Ways You Can Use it Today
Wish you had Jarvis-esque control over information? 🦸
While the AI drama and model releases were poppin, OpenAI snuck in a powerful update to its popular Deep Research mode.
Missed it? You already KNOW we're giving it the 'AI at Work on Wednesdays' treatment to break down what's new and 5 ways you can use it today.
Also on the pod today:
• Deep Research: GPT-5.2 upgrade 🚀
• Steer AI with live prompts 📝
• Control which websites AI uses 🌐
It’ll be worth your 37 minutes:
Listen on our site:
Click to listen
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Here’s our favorite AI finds from across the web:
New AI Tool Spotlight – Moda are AI designs you can edit, Omnia helps your brand show up in AI search, Flixier helps you extend your video timeline with AI-generated extensions.
Apple AI hardware — Apple’s new AI glasses, AirPods, and a possible AI pin could debut by 2027, powered by Google’s Gemini AI. Look for details at WWDC.
AI Agents — Here’s why AI agents are taking the U.S. by storm.
AI Music — Google’s new Lyria model also popped up in Gemini. (We spotted it before Google’s announcement).
AI and Science — Has AI completely changed scientific discovery? Maybe so.
AI and Taxes — Billionaire investor Vinod Khosla says AI could cut jobs and shrink labor’s share of the economy. He suggests raising taxes.
AI Slop — Here’s why (and how) AI slop is destroying the internet.
Anthropic vs. the Pentagon — More details have emerged on why Anthropic and the Pentagon are reportedly at odds over AI.
1. Nvidia and Meta Deepen AI Partnership with Major Chip Supply Deal 🤝
Nvidia and Meta have expanded their multiyear agreement, with Nvidia supplying Meta millions of its latest Blackwell and Rubin GPUs, alongside CPUs and networking tech to power AI workloads in Meta’s data centers.
This deal marks a significant move for Meta as it prepares to deploy Nvidia’s first large-scale CPU-only servers, challenging Intel and AMD’s long-held dominance in the server CPU market. While Nvidia’s stock ticked up slightly on the news, Meta’s shares dipped amid ongoing concerns about AI spending and competition from other chipmakers developing their own AI processors.
2. Google DeepMind launches Lyria 3 for AI-powered custom music creation 🎹
Google DeepMind has introduced Lyria 3, its latest AI music generation model, now available in beta through the Gemini app. This upgrade allows users to create original, stylistically diverse 30-second tracks complete with lyrics by simply describing an idea or uploading media for inspiration.
Lyria 3 improves realism and musical complexity while embedding a subtle watermark for AI content verification, reinforcing responsible use.
3. Meta Pumps $65M Into AI Election Influence 🏛️
Meta is making a major move to shape AI policy by allocating $65 million toward pro-AI political action committees. The new funding will support bipartisan super PACs aimed at backing lawmakers who favor AI-friendly legislation and resisting rules that could restrict Meta’s AI ambitions.
This strategic spending reflects growing tech industry efforts to influence the rapidly evolving AI regulatory landscape.
4. Fei-Fei Li’s World Labs Secures $1B to Advance 3D AI Models 🤑
World Labs, the startup led by AI pioneer Fei-Fei Li, has just raised $1 billion in funding to push forward its work on spatial intelligence, a cutting-edge AI approach focused on understanding the 3D world. Major investors including AMD, Nvidia, and Autodesk, which also joined as an adviser, backed the round, signaling strong industry confidence in the startup’s vision.
This capital boost follows a $230 million seed raise last year and positions World Labs alongside Google DeepMind in the race to develop AI that can better perceive and interact with physical environments.
5. Andrew Yang Warns of AI Job Loss Surge ⚠️
Former presidential candidate Andrew Yang recently predicted that up to half of white-collar jobs could disappear as companies race to adopt artificial intelligence for efficiency gains.
Yang highlighted that this shift could trigger a domino effect, impacting not only office workers but also local businesses relying on commuter traffic. Despite the looming threat, data so far shows AI-related job cuts remain a small fraction of overall layoffs. The debate intensifies as public concern grows, with 63% of Americans fearing AI will reduce employment opportunities.
Not analyzing it. Not acting on it. Just clicking through folders, digging through your inbox, bouncing between your CRM and project management tool trying to track down that one file from three months ago.
(Yeah…. you know the one.)
OpenAI just updated Deep Research so you can restrict it to only search your connected apps and specific websites. Your Google Drive, HubSpot, Gmail, calendar. All searchable by one AI now running on GPT-5.2.
We broke this down on today's Everyday AI with five use cases where this replaces hours of data hunting you're prolly doing every single day.
Your competitors who figure this out first gonna stop wasting half their week playing digital hide and seek across 12 platforms.
1. Kill The Junk Web Forever 🔥
The web is literally designed to distract you. Ads, banners, AI generated spam farms pumping out thousands of articles a day. And you're out there wading through that garbage trying to find one reliable source.
Not anymore.
Deep Research now lets you restrict which websites it searches. Lock it down to only your trusted sources. Or use the "prioritize these sites but allow full search" toggle so it checks your picks first then goes wider.
The real magic is app connectors. You can now connect more than 60 apps. Google Drive, Microsoft OneDrive, HubSpot, Canva, Gmail, and way more. All read only so nothing gets deleted or overwritten.
You now have granular control over two of the three information sources that power large language models. Your connected data and the web. That's a massive shift for anyone making business decisions off AI research.
Try This
Go into ChatGPT settings and connect two or three of the apps where you waste the most time hunting for information every day. Start there.
Then run a Deep Research query restricted to only those apps plus one or two trusted industry sites.
Compare that output against a regular unrestricted web search report. The difference in accuracy and source quality will smack you in the face.
Make this your default research workflow. Your Monday morning reports just got way smarter.
2. Stack Every App Into One Brain ⚡
Here's where your SaaS nightmare becomes a superpower.
Most companies have their critical information scattered across five to eight to 27 different platforms. You're ping ponging between ClickUp for project management, HubSpot for marketing, Gmail for communication, and Microsoft OneDrive for file storage. Half your day is prolly just navigating interfaces to find that one piece of information you need.
It triangulates across every connected source and builds a single report with clickable citations for every claim so you can verify it yourself.
This is essentially a vector database of all your company's critical information without needing an engineering team to build it.
One example from today's show connected six months of Canva documents with hundreds of website pages and produced a trend report with sourced citations for all 50 findings.
Try This
Write down the four or five platforms where your team spends the most time hunting for and cross referencing data. Seriously. Grab a pen.
Connect all of them to Deep Research and run one query that requires pulling from at least three sources simultaneously.
Use the new full screen document viewer and scrollable table of contents to navigate the report. Then export to Word or PDF and bring it to your next team meeting. This is how research works now.
3. Turn Your Inbox Into Opportunity Intel 🚀
This one should make every sales leader and account manager straight up lose their minds.
(And us…. as we stink at email. lolz)
Give Deep Research access to your Gmail and Google Calendar. Then ask it to comb through six months of your outbox and calendar to surface dropped conversations, missed follow ups, and opportunities worth revisiting.
Tell it to prioritize your outbox over your inbox. Because if you took the time to reply to something, that signals it actually mattered to you. Your inbox is prolly 90% noise anyway.
Layer in your ChatGPT memory and chat history and it starts connecting dots you didn't even know existed. Patterns in what you ask, gaps you're trying to fill, opportunities you've been circling without realizing it.
This isn't email search. This is an AI powered follow up assistant that cross references your communication history against your calendar and company data.
Try This
Enable your Gmail and Google Calendar connectors in ChatGPT settings. Takes two minutes.
Run a query asking Deep Research to cross reference your outbox with your calendar meetings over the past six months and surface any dropped opportunities.
Attach a markdown file with your current priorities so it can filter everything through what actually matters to you right now.
Run this before your next pipeline review. You'll prolly find at least three conversations worth reopening. Before Deborah retires to Florida.
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