🍜 AI startups are printing..

Welcome, Noodle Networkers.

AI assistants are spending money, courtrooms are confused, and venture capitalists are treating every AI founder like a secret gold miner. Let’s get into it. Amazon told Perplexity to relax after its AI started making real purchases. Imagine asking for product reviews and your bot is already on checkout buying three vacuums like a manic stepmom. 🛒 Stability AI just beat most of Getty’s copyright claims in court. The company basically walked out of the courtroom like “yes we trained on your images and no the judge did not flinch.” ⚖️ And AI startups are now valued like they literally have gold melting in a crockpot in the backyard. VCs are throwing money faster than the models can hallucinate the business plan. 💰

From shopping bots to legal victory laps to billionaire money cannons, this AI world never gets boring. Let’s dig in.

In today’s AI digest:

• Amazon tells Perplexity to chill after its AI starts making real purchases 🛒

• Stability AI flexes after beating most of Getty’s copyright claims in court ⚖️

• AI startups are now valued like they are printing gold in the basement 💰

Read time: 5 minutes

WHAT’S HAPPENING TODAY

$AMZN ( ▲ 0.35% ) 

Amazon tells Perplexity to chill after its AI starts making real purchases 🛒

(source: Bloomberg)

🛒 The Digest: Amazon just told Perplexity AI to calm down after its browser agent started actually buying things on Amazon without humans pressing the button. In other words, Perplexity’s AI became the friend who does not wait for your opinion and just orders the food for the table.

Key Details:

🧾 Amazon Sent A Not So Friendly Letter
Amazon basically said “please stop letting your AI shop here unless the human is actually involved,” which is legal language for “this is our checkout lane, not yours.”

🤖 Perplexity Fired Back
Perplexity claims Amazon is just terrified of real AI agents doing the buying. Translation: a full blown “you are not the boss of me” argument, but between billion dollar companies.

📦 Amazon Says The Experience Was Terrible
Amazon argues Perplexity’s bot creates a bad shopping experience. Yes, the company that invented twenty ads between items is worried about user experience.

💳 The Bigger Problem
If AI agents can check out on your behalf, we are one step away from waking up to three new subscriptions, a random indoor trampoline, and five packages of matcha you do not remember asking for.

Why It Matters: This is not about one shopping cart. It is about who controls the future version of ecommerce. If Amazon wins, your AI will ask permission before buying. If Perplexity wins, one day your AI might buy your groceries before you even realize you were hungry.

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AI copyright

Stability AI flexes after beating most of Getty’s copyright claims in court⚖️

(source: ABCnews)

⚖️ The Digest: Stability AI just walked out of court with a victory dance after beating most of Getty Images’ copyright claims in the UK. Getty tried to argue that Stability was basically stealing its photos. The court basically replied, “well technically… no.” And now Stability is smiling like a startup that just saved millions in legal fees.

Key Details:

📸 The Court Said Training Is Not Copying
The judge ruled that training on images does not automatically mean you are reproducing them. Which is a bit like saying you can read every book in a library and still write your own novel without paying royalties.

🌍 Jurisdiction Twist
Most of Getty’s case got tossed because the court said the training wasn’t proven to have happened in the UK. Translation: wrong country, wrong courtroom, nice try though.

🏷️ One Tiny Win for Getty
Getty won a very narrow ruling because some generated images still had Getty’s watermark. It is kind of hard to deny when your model literally prints someone else’s logo in the corner.

Why It Matters: This decision might become Exhibit A for every AI startup trying to sidestep copyright panic. And somewhere inside Getty’s headquarters, someone is rewriting their legal playbook while nervously watching the AI internet say “so training on stuff we don’t own is… kinda fine?”

AI startups

AI startups are now valued like they are printing gold in the basement 💰

(source: TheGuardian)

💼 The Digest: Geoffrey Hinton, the “Godfather of AI,” just said the quiet part out loud. According to him, tech giants will not actually make money off AI unless they replace human workers. In other words, your boss does not want AI to help you. Your boss wants AI to be you.

Key Details:

🧠 The Business Case Is Brutal
Hinton says companies are spending insane amounts to train models, and the only way this becomes profitable is if humans get removed from the cost column. Suddenly that friendly AI assistant looks more like your future replacement than your sidekick.

📉 Capitalism Is Not Here To Make Friends
He says the system rewards replacing people with machines, not collaborating with them. The economy writes a love letter to efficiency, not empathy. Think Shark Tank, but every shark is a robot with a calculator.

💼 White Collar Jobs Are The Juiciest Targets
Hinton points out that repetitive knowledge jobs are in the danger zone. Ironically, plumbers and electricians might be safer than copywriters and financial analysts. Turns out being handy with a wrench beats being handy with Excel.

📄 AI Is Not Evil, It Is Just Cheap
He says AI doesn’t “want” to replace us. It just does the math faster and cheaper. Algorithms do not unionize.

Why It Matters: Tech giants are not spending billions to give everyone a cute robot coworker who compliments their outfit. They want lean payrolls and fat profit margins. Hinton basically just confirmed the plot twist: the big AI winners might not be the people using AI… but the companies that fire the people who do.

THE NOODLE LAB

AI Hacks & How-Tos

How to Use Bito 🤖

The Digest: Bito is an AI-powered tool that reviews pull requests and boosts developer productivity. It integrates with Git workflows (GitHub, GitLab, Bitbucket) and IDEs (VS Code, JetBrains) to give codebase-aware feedback that speeds up merges and reduces regressions.

⚙️ How to Use It:

1. Sign Up and Connect Your Repo
Go to bito.ai and create an account. Link your GitHub, GitLab, or Bitbucket repository.

2. Enable the AI Review Agent
In your Bito dashboard enable the “AI Code Review Agent” for the repositories you want it to monitor.

3. Configure Review Settings
Customize how Bito reviews your code. Choose the feedback mode (Essential vs Comprehensive), whether automatic reviews should run on new PRs, and set filters for branches or file types.

4. Submit a Pull Request
Open or update a pull request in your repo. Bito will run its analysis and post comments, suggestions, and a summary of the changes directly in the PR.

5. Review the AI Feedback
Look at the comments left by Bito. It will flag issues like security problems, performance bottlenecks, readability or maintainability concerns, and provide suggestions to improve your code.

6. Apply Fixes and Merge
Use the suggestions from Bito to refine your code. Once you’re satisfied, merge the PR with more confidence—Bito’s feedback helps ensure fewer regressions and faster acceptance.

Explore More: Check out Bito’s blog and docs for walkthroughs, video tutorials, and best practices to get the most out of AI-powered code reviews.

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