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A Shocking Study Made Me Rethink How I Use AI — and You Should Too

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A Shocking Study Made Me Rethink How I Use AI — and You Should Too

I have always considered myself a cautious AI user. I do not let ChatGPT write my emails or shape my stories. Instead, I use AI primarily to look up quick facts or recall something at the tip of my tongue. To me, this felt like the responsible approach — especially as a journalist aware of AI’s hallucination issues and the constant burden of truth verification. However, a recent AI dependency study has made me question even this limited use of tools like Google Gemini for everyday tasks.

The Findings Are Harder to Dismiss Than You Think

The research, conducted through three separate randomized experiments involving math and reading comprehension tasks, revealed a startling pattern. After just ten minutes of AI-assisted problem-solving, participants who then lost access to the AI performed worse and gave up more frequently than those who never used it at all. This was not after months of dependency — only ten minutes.

What makes this AI dependency study particularly compelling is that the effects appeared across both math and reading tasks. These are fundamentally different cognitive skills, suggesting the issue is not a quirk of one type of task but a general consequence of how we use these tools. Building on this, the study found that the cause was not the AI itself — it was how people used it.

Now, on an ordinary day, I might have dismissed such research as another swing in the ongoing debate about AI’s benefits and pitfalls. But this study comes from a joint effort by Carnegie Mellon University, the University of Oxford, the Massachusetts Institute of Technology, and the University of California, Los Angeles.

How You Use AI Matters More Than How Much You Use It

The majority of participants used AI to get answers directly. These individuals showed the largest declines in performance and persistence — not only compared to the control group but also compared to those who used AI for hints and clarifications. Participants who used AI for hints showed no significant impairments relative to the control group.

In other words, people who asked AI to solve the problem outright became worse at solving problems themselves. Meanwhile, those who used it for a nudge in the right direction or for clarity remained fine — statistically indistinguishable from people who had not used AI at all. This is a meaningful distinction that reframes the conversation around AI making people less intelligent. It shifts the question from “should I use AI?” to “what am I actually doing when I use it?” That question matters whether you use AI occasionally or rely on it daily for work or school.

The Cognitive Outsourcing Trap

If you have been using AI for cognitive outsourcing — essentially handing off your problem until you get an answer back — this research suggests the habit may be quietly training you to expect rescue at moments of difficulty rather than learning to push through them. The researchers warn that if these effects accumulate with sustained AI use, current AI systems risk eroding the very human capabilities they are meant to support. You will not notice it right away, but it will become apparent the next time you are on your own.

It Might Be Time to Change Your Habits

I do not think this means you should stop using AI tools altogether. But starting today, I am going to be more deliberate about what I am actually asking for when I open a chat window. Am I looking for a fact? A direction? A sanity check? Or am I just tired of thinking and hoping the chatbot will do it for me? The first few are probably fine. The last one, not so much.

For more on balancing AI use and critical thinking, check out our guide on using AI wisely. Additionally, explore how AI tools can boost productivity without harming cognitive skills.

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Artificial Intelligence

Google’s Gemini 3.5 Transcribe Turns Your Rambling Into Polished Prose

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Gemini 3.5 Transcribe

Nobody sounds like a news anchor

We all stumble, backtrack, and throw in a dozen “ums” when we talk. Google’s new Gemini 3.5 Transcribe is built for exactly that reality. Announced as the company’s most precise speech-to-text model yet, it takes your messy, unpolished speech and turns it into clean, formatted text — without demanding you sound like a broadcast professional first.

The model arrives alongside two companions, Gemini 3.5 Live and Gemini 3.5 Live Experimental. Together, the trio forms what Google brands as “Gemini Audio.”

Here’s the kicker: it’s already in production, not sitting in some research lab.

How Gemini 3.5 Transcribe cleans up your speech

The model automatically strips out filler words like “um” and “ah,” so your transcribed text doesn’t carry every verbal hiccup. More impressively, it catches self-corrections in real time. Say “let’s meet Tuesday, no wait, Wednesday,” and it understands you meant Wednesday — and adjusts accordingly.

You can also edit your text using nothing but your voice. No typing, no tapping. Just speak the correction.

The model can even delegate tasks like image generation or file analysis to other Gemini models through function calling. That capability is currently live in the Gemini app on macOS.

Accuracy numbers that back it up

Google reports a word error rate of just 4% for real-time streaming and 2.6% for pre-recorded audio. That’s strong for conversational speech, especially when you factor in the messy reality of how people actually talk.

Support spans more than 85 languages, regional accents, and specialized jargon. It can also attribute speech to up to three different speakers in a recording, complete with timestamps. That’s a serious upgrade for journalists, researchers, and anyone who transcribes meetings.

Where it’s already live

This isn’t a future feature. Gemini 3.5 Transcribe already powers Rambler, the dictation feature on Android’s Gboard, and the Gemini app on macOS. Chrome support is coming soon, which will let you dictate directly into any web field.

Developers can access it now in Google AI Studio and Antigravity, Google’s agentic coding platform. Enterprise users get it through the Gemini Enterprise Agent Platform.

Expanding across Google’s ecosystem

The rollout doesn’t stop there. Google is expanding the model into Search Live, Gemini Live, Docs, Keep, and Gmail. The next time you’re rambling into your phone, Gemini might just understand you better than you understand yourself.

For anyone who’s ever dictated a text and gotten gibberish back, this feels like a genuine step forward. The question isn’t whether AI can transcribe — it’s whether it can handle the way we actually speak. Google’s betting the answer is yes.

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Apple TV and HomePod May Finally Get Apple Intelligence — Here’s the Evidence

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Apple Intelligence Apple TV

The Quiet Corner of Apple’s AI Push

Apple’s big AI moment has finally arrived — on the iPhone, iPad, and Mac. But walk into your living room, and the story changes. The Apple TV and HomePod have been sitting this one out, watching from the sidelines. That’s odd, especially since Siri is the main way you talk to both devices.

That could be about to shift. A fresh clue buried in the latest iOS 27 beta suggests Apple is prepping its home devices for a slice of the Apple Intelligence action.

What the iOS 27 Beta Reveals

As spotted by Apple Home Authority, the Home app now includes a new menu labeled “Apple Intelligence Report.” It appears for compatible Apple TV and HomePod units running beta software. A single menu buried in a beta might normally be easy to shrug off. But here’s the thing: neither device currently supports Apple Intelligence at all. So why build a menu for something that doesn’t work yet?

The timing matters too. This isn’t just an iPhone feature accidentally referencing other gadgets. For the menu to show up, your Apple TV or HomePod also has to be running the tvOS 27 or HomePod 27 beta. That’s a deliberate link — software on one device talking to software on another. It points to something real in the works.

Siri Could Finally Catch Up in Your Living Room

The most likely payoff is a smarter Siri. Right now, the experience is uneven. You can ask your iPhone a complex question and get a rich, context-aware answer. Ask the HomePod sitting three feet away the same thing, and you’ll likely get a shrug. That gap has felt awkward for a while, and Apple seems to know it.

Bringing the newer Siri to the HomePod would make voice requests genuinely useful again — especially when your phone isn’t in hand. Imagine asking for a recipe, a weather update, or a reminder without pulling out your device. The Apple TV could benefit just as much. A smarter assistant could help you find something to watch, answer questions about a show, or navigate menus without phrasing every command like a robot command.

There’s a catch, though. None of this is confirmed. Apple hasn’t officially announced Apple Intelligence support for either product. The menu’s existence hints at intent, but it doesn’t tell us which models will actually get the features.

New Hardware Might Be the Missing Piece

Here’s the bigger question: will current Apple TV and HomePod models handle it? Apple Intelligence has steep hardware requirements elsewhere in Apple’s lineup. The iPhone, iPad, and Mac all need relatively recent chips to run it. It wouldn’t be a shock if Apple’s home devices need new silicon too before they can join the AI party.

Rumors have already pointed toward refreshed Apple TV 4K and HomePod models. If new hardware is coming, this beta discovery fits neatly into that timeline. A new chip inside a new HomePod, paired with a smarter Siri, would give the smart speaker a reason to exist beyond just playing music and setting timers.

What About Existing Devices?

Some current models may still get partial support. The menu’s appearance doesn’t reveal which devices are compatible. Apple could limit full Apple Intelligence to new hardware while offering a lighter version to older ones. Or it could leave older devices out entirely, which would frustrate plenty of owners.

We won’t have to guess for long. Apple is expected to hold its next major event on September 9. That’s the natural stage for announcing new Apple TV and HomePod hardware — and for finally explaining why those devices were so quiet during the earlier software reveals.

What This Means for Your Smart Home

If Apple follows through, the living room becomes a much more capable place for AI. A smarter HomePod could handle multi-step requests, understand context better, and respond faster. An Apple TV with Apple Intelligence could turn your TV into a conversational hub — ask it to pull up a movie by mood, genre, or even a vague description like “that one with the guy from The Office.”

That kind of experience is already possible on phones. Extending it to the home is a logical next step. It also makes Apple’s ecosystem story stronger: one Siri, everywhere you are.

For now, it’s still speculation. But the beta evidence is hard to ignore. Apple is clearly testing the waters for Apple Intelligence on home devices. Whether it arrives this fall or later, the days of a dumb speaker in the corner may finally be numbered.

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A 23-year-old’s AI assistant just raised $350 million. Here’s why investors are betting big

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AI startup Instinct

The fastest unicorn you’ve never heard of

Here’s a number that should make you sit up: AI startup Instinct just closed a $250 million Series B, pushing its valuation to a staggering $2.5 billion. The company didn’t exist 18 months ago. Its founder is 23.

That’s not a typo. Noah Shinn, who launched Instinct last year, has watched his company balloon from a side project to one of the most valuable AI startups in the world — all before most people have even tried the product.

The round was co-led by Index Ventures and Benchmark, two of Silicon Valley’s most storied venture firms. Total funding now stands at $350 million.

What exactly does Instinct do?

Instinct is what the company calls a “life organizer.” It’s an AI agent that connects to your apps and devices, then lets you talk to it via text or phone calls. Think of it as a personal assistant that actually follows through.

Want groceries delivered? Concert tickets bought? Subscriptions cancelled? Instinct handles it. The company says users have already planned cross-country road trips, scheduled weddings, and saved hundreds of dollars by cutting unused services.

Shinn’s own tweet announcing the raise was characteristically understated: “I’m thrilled with everything our early users are doing with Instinct. They’ve told us they’ve planned cross-country road trips, bought weekly groceries and concert tickets, and cancelled hundreds of dollars of subscriptions. Someone’s even planning their wedding with Instinct.”

Privacy concerns are already bubbling up

Not everyone is celebrating. The app is currently in private beta, but early testers have raised red flags about its permissions and terms of service.

Some users on social media have pointed out that Instinct asks for unusually broad access to connected accounts. The terms of use, they argue, contain clauses that could allow the company to use personal data in ways that feel invasive.

Shinn hasn’t directly addressed these criticisms. For now, the company seems focused on scaling — and on getting the product out of beta.

Why investors are throwing money at it

Here’s the thing about the current AI funding climate: investors are desperate for products that go beyond chatbots. Everyone can build a chatbot. Few can build something that actually does things.

Instinct’s pitch — an agent that takes action, not just answers questions — is exactly what venture capitalists have been hunting for. The fact that it’s early, buggy, and controversial hasn’t slowed the momentum.

Compare that to other AI assistants on the market. Most require you to switch apps or learn new workflows. Instinct slides into your existing life, using the tools you already have.

The lo-fi website hiding a high-tech product

Visit Instinct’s website and you might be confused. It’s deliberately bare-bones — almost retro. No flashy animations, no AI-generated hero images. Just a simple page and a waitlist.

That minimalist approach is a deliberate contrast to the polish of competitors. It signals: we’re builders, not marketers. Whether that’s strategic or just a reflection of a tiny team remains to be seen.

What’s clear is that the strategy is working. A valuation of $2.5 billion for a company with no public revenue and a limited beta is a statement of intent. Investors aren’t betting on what Instinct is today. They’re betting on what it could become.

What’s next for Instinct

The company hasn’t announced a public launch date. The waitlist is still open, and the team is reportedly focused on improving the agent’s reliability and addressing early feedback.

If you’re curious about how AI agents are changing everyday tasks, Instinct is worth watching. So is the broader trend of AI startups raising massive rounds before public release.

One thing’s for sure: the summer of AI hype isn’t over. It just got a new poster child.

For more on the latest funding news, check out our coverage of recent AI startup funding rounds.

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