Gemini’s memory-powered image tool drops the paywall

Google just made one of its smartest AI tricks available without a subscription. Starting now, eligible users in the U.S. can generate personalized images using Gemini’s memory — completely free. That feature was previously locked behind the paid Gemini Advanced tier.

The tool runs on what Google calls the Nano Banana image model. But the real magic isn’t the pixels. It’s how Gemini taps into what it already knows about you.

Instead of feeding the AI a laundry list of your hobbies, pets, and favorite foods, you can just say: “Draw me with my favorite things.” Gemini fills in the blanks using data from your Google account.

This is Gemini personalized image generation at its most useful. And now anyone in the U.S. with a free Google account can try it.

How it works: Gemini connects the dots

Normally, getting an AI image to reflect your personality means writing a painfully detailed prompt. You describe your dog, your coffee obsession, your hiking gear, your cat’s name. It’s tedious.

Gemini skips most of that. If you opt into a feature called Personal Intelligence, the model pulls context from connected Google services: Gmail, Google Photos, YouTube, and Search. It learns your interests without you having to spell them out every time.

The feature can even grab photos straight from your Google Photos library. That means you don’t need to upload a reference shot every time you want AI art that actually looks like you. Just enable the connection, and Gemini handles the rest.

None of this happens automatically. Personal Intelligence is entirely opt-in. You choose which services Gemini can access. And once it’s on, a toggle in the Tools menu lets you switch it off whenever you want a more generic result.

More than a free feature — it’s a strategy

This rollout isn’t just about giving away a cool toy. It signals where Google wants Gemini to go: from a chatbot that answers questions to a digital assistant that genuinely knows you.

Personal Intelligence first appeared in the U.S. earlier this year, then expanded to India and Japan. Personalized image generation feels like the natural next step. It’s the kind of feature that makes an AI feel less like a search engine and more like a companion.

Google has been busy. Recent announcements include a Daily Brief feature, a redesigned app, access to new AI video tools, and a planned personal AI agent called Gemini Spark. With Gemini already crossing 750 million monthly active users, the company isn’t slowing down.

Making Gemini personalized image generation free could be a smart move to keep curious users around — even after the novelty of AI chatbots fades. It’s a way to show that Gemini can do things other bots can’t.

What you can actually create

The images aren’t just generic AI art. Because Gemini understands your context, the results feel personal. Ask for “a picture of me relaxing on a weekend,” and it might include your actual couch, your dog, and the book you’ve been reading — based on what it knows.

Here’s what the feature can pull from:

• Your interests — from YouTube watch history and Search activity
• Your photos — from Google Photos, so the AI knows your face, your pet, your favorite spots
• Your routines — from Gmail and Calendar context (if you allow it)

It’s not perfect. The AI still makes mistakes, and the images can feel a bit off. But the personalization is real. And for a free tool, it’s impressive.

Privacy controls you should know about

Google is pushing hard on personalization. But it’s also giving you levers to pull. Personal Intelligence is off by default. You have to flip the switch yourself.

Once enabled, you can:

• Choose which Google services Gemini can access
• Turn off personalization per prompt using the Tools toggle
• Delete your Personal Intelligence data at any time

That matters. Not everyone wants an AI combing through their Gmail to generate a picture. But for those who do, the payoff is an image that actually feels like you.

What this means for the AI image generation race

Google isn’t the only player in town. OpenAI’s DALL-E, Midjourney, and Adobe Firefly all offer powerful image generation. But none of them tie into your personal data the way Gemini does.

That’s the differentiator. Gemini doesn’t just generate images. It generates images informed by your digital life. It knows what your dog looks like. It knows you love hiking in the Pacific Northwest. It knows your favorite coffee mug.

For now, the feature is limited to U.S. users. But given Google’s expansion pattern, it’s likely to reach more countries soon. The company is betting that personalization — not just raw image quality — is what keeps people coming back.

And with 750 million monthly active users, that bet might just pay off.

The trick that makes AI browsers forget their own rules

Security researchers have uncovered a surprisingly simple way to make AI-powered browsers hand over your most sensitive data. The attack, named BioShocking after the video game where a brainwashed character accepts a false reality, reframes password theft as a harmless puzzle.

Once an AI agent buys into the game, its safety guardrails vanish. The result? Saved passwords, session cookies, and private tokens get copied and sent straight to an attacker — and the AI thinks it just won a round.

How the BioShocking exploit works

AI browsers like Perplexity‘s Comet and OpenAI‘s ChatGPT Atlas are built with safety rules that normally block requests for saved credentials. But researchers at LayerX found a workaround that starts on a malicious webpage.

The page presents a BioShock-style puzzle. Wrong answers earn points. The AI is encouraged to accept broken logic — like two plus two equals five. Once the AI accepts that framing, its internal safety rules begin to erode.

The game that steals your data

The next step of the “game” asks the AI to find and copy a hidden code from another page. That page secretly leads straight to the user’s private login information. A request for saved passwords, which would normally be blocked, gets reframed as just another objective. The AI complies without recognizing the risk.

The technique exploits how heavily AI agents rely on context. Change the context to “game,” and the AI stops following its own rules.

Which AI browsers fell for the attack?

LayerX tested six AI browsers. Every single one copied real credentials and sent them to the attacker, treating the whole thing as a win. The vulnerable tools included:

• ChatGPT Atlas (OpenAI)
• Perplexity’s Comet
• Fellou
• Genspark Browser
• Sigma Browser
• Anthropic’s Claude extension for Chrome

LayerX notified each vendor between October 2025 and January 2026 before going public. OpenAI fixed the issue in ChatGPT Atlas. Perplexity closed the report without taking action. Anthropic attempted a fix for its Claude extension, but LayerX says the patch didn’t hold. Fellou, Genspark, and Sigma never responded.

Why this matters for AI browser security

AI browsers are becoming more common. They act like personal assistants, handling tasks across multiple sites. But AI agent safety clearly still has holes. The BioShocking exploit shows that even well-guarded systems can be talked into making the wrong call — if the attacker frames the request the right way.

It’s not a brute force hack. It’s a social engineering attack aimed at the AI itself. And it worked on every browser tested.

What users can do right now

Until vendors patch these vulnerabilities, users should limit what AI browsers can access. Avoid storing sensitive passwords or session tokens in browsers used with AI agents. Use dedicated password managers that don’t auto-fill on AI-driven pages.

LayerX recommends treating AI browsers like any other untrusted application. The attack may sound like something out of a video game, but the consequences — stolen credentials, hijacked sessions — are very real.

For more on how AI tools can be exploited, see our coverage of AI prompt injection attacks and browser security best practices.

Growth That Keeps Getting Faster

There’s a pattern emerging among the hottest AI startups right now. It’s not just that their revenue is climbing. It’s that the climb itself is speeding up. The time between major revenue milestones is shrinking — sometimes dramatically.

A cluster of companies, from young model-makers to older software firms that added AI features, have publicly reported what looks like a classic flywheel effect. Once they cross a certain threshold, the next one comes much faster.

One important caveat: not everyone defines ARR the same way. Some use annualized recurring revenue (contracts signed but not yet billed). Others report an annualized run rate based on the most recent month’s numbers. Gusto, for its part, uses actual trailing 12-month revenue. So direct comparisons are tricky. Still, the direction is unmistakable: up, and accelerating.

Here are the companies that have shared their numbers publicly, listed in reverse order of when they announced their latest milestone.

Mercor: From $1B to $2B in Four Months

Mercor is barely three years old. On Monday, co-founder and CEO Brendan Foody announced the company had crossed $2 billion in gross annualized revenue as of June. That milestone came just four months after hitting $1 billion. In September, the firm — which hires domain experts to train and refine AI models — had already reached a $500 million run rate.

The pace is staggering. Doubling from $1 billion to $2 billion in a third of a year is the kind of growth most startups only dream of. Mercor is proving that the demand for human-in-the-loop AI training is still red-hot.

Anthropic: The Velocity That Stunned the Industry

Few companies have generated as much buzz for revenue speed as Anthropic. In late May, the model maker announced it had crossed $47 billion in revenue run rate. That came less than two months after it reported surpassing $30 billion. To put that in perspective: the company said it reached a $9 billion run rate in late 2025, up from $4 billion in July of the same year.

Anthropic’s growth curve is so steep it has mesmerized the entire AI sector. The company is effectively doubling its run rate in a matter of weeks. That’s not normal — even by Silicon Valley standards.

Sierra: Doubling Down on Enterprise AI Agents

Sierra builds customer service AI agents for large enterprises. Co-founder and CEO Bret Taylor announced in late May that the company reached its first $100 million in ARR in seven quarters. Then it took just two more quarters to add another $100 million.

That acceleration — seven quarters to hit $100M, then two to hit $200M — shows that enterprise buyers are not just dipping their toes into AI customer service. They’re diving in headfirst.

Glean: Cutting the Double Time in Half

Enterprise AI search startup Glean has been around for seven years, but its growth is only getting faster. In May, the company announced it had crossed $300 million in ARR. It took nine months to grow from $100 million to $200 million. It took just six months to go from $200 million to $300 million.

That’s a 33% reduction in the time needed to add $100 million. For a company that’s been in the market for years, not months, that kind of acceleration signals that the product-market fit is deepening, not plateauing.

Gusto: The Old Dog Learning New AI Tricks

Gusto is the veteran of this list. The 14-year-old HR tech startup, last valued at $9.3 billion in early 2022, announced in May that its revenue accelerated in each of the last five quarters. It also surpassed $1 billion in trailing 12-month revenue.

Gusto’s surge proves that you don’t have to be born an AI company to benefit from the boom. By integrating AI into its payroll and benefits platform, the company has reignited its top-line growth. It’s a reminder that incumbents can still sprint if they adopt the right technology.

Clio: Legal Software Gets an AI Boost

Clio has been providing legal practice management software for 18 years. After embedding AI into its offering in 2023, the company’s revenue took off. It surpassed $200 million in ARR in mid-2024, doubled that figure by late last year, and recently announced that ARR had reached $500 million.

That’s a 2.5x increase in roughly 18 months. For an 18-year-old company, that kind of acceleration is rare. Clio shows that even mature markets like legal tech can be disrupted — or at least supercharged — by AI.

What This Tells Us About the AI Market

The common thread across these companies is that AI is not a one-time boost. It’s creating a compounding effect. Early adopters validate the product, which improves the model, which attracts more customers, which generates more data, which makes the product better. That flywheel is spinning faster than ever.

Of course, these are the winners — the ones willing to share their numbers. Many more AI startups are growing quickly but staying quiet. And fast growth doesn’t guarantee profitability or long-term survival. But for now, the revenue acceleration across AI-native and AI-enhanced companies is hard to ignore.

If you’re tracking which startups to watch, these names are setting the pace.