Apple is feeling the heat

Welcome back, Superhuman. Some lighthearted controversy to kickstart your weekend: An alleged Spotify hack dubbed the “Panama Playlists“ claims to have leaked the music playlists of major public figures. If true, the strangest playlist surely belongs to Coinbase CEO Brian Armstrong. It’s a 7 hour long playlist called “Repeat“ and features the song “Long Way Home” by Gareth Emery 60 times in a row. In an amusing plot twist, Armstrong appears to have confirmed the existence of the playlist.

Also Today: Learn how to vibe code a mobile app with AI, and get the latest prompts, headlines, and trending social posts.

TODAY IN AI

1. Apple plans to ramp up AI investments as pressure mounts: With the company’s stock falling 15% this year (trailing 6 out of the 'Magnificent 7’ companies), the iPhone maker has all but sat out the AI wave. Now, CEO Tim Cook says the company is finally ready to open up its wallet to close the gap with rivals, reportedly being "very open to M&A that accelerates our roadmap". This comes amid reports that the company held internal talks to discuss the acquisition of AI startup Perplexity.

2. OpenAI and Anthropic report major revenue gains, as Anthropic closes gap: While OpenAI currently leads with a reported $12B in annualized revenue vs. Anthropic’s $4B, the Claude maker is closing a seemingly insurmountable gap against OpenAI at breakneck speed. The difference between the startups has shrunk dramatically from 20x in 2022 to just 3x today. The contrasting strategies tell the story: OpenAI leads the pack in consumer markets with 700M+ weekly active users, while Anthropic’s enterprise-first approach has fueled its rapid growth in recent months.

3. China probes Nvidia over AI chip security concerns: The Cyberspace Administration of China summoned Nvidia representatives to explain "serious security vulnerabilities" with its H20 AI chips, just weeks after CEO Jensen Huang's high-profile Beijing visit. The cyberspace watchdog cited US lawmakers' comments about installing tracking capabilities in exported chips, a claim the chipmaker firmly denied.

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FROM THE FRONTIER

New study flips the script on AI productivity hype. It’s not what we thought.

AI was pitched as the developer’s new superpower (or so we thought). A recent study from METR — an org that runs evaluations of frontier AI system capabilities — has challenged conventional wisdom about AI and developer productivity, claiming to expose a major gap between perception and reality.

The findings were surprising. Expert developers were tasked with fixing 246 issues (bug fixes, features, etc.). Each issue was randomly assigned to either allow or prohibit AI use. Before the task, developers forecasted that AI would make them about 24% faster. The data, however, painted a different picture, revealing a 19% slowdown. Even after seeing the evidence, the developers insisted that AI had ramped up their work by 20%.

So why is AI slowing down professional coders? Researchers identified five likely factors:

• Review burden: Devs spent too much time correcting AI-generated code.

• High standards: Quality codebases have requirements that AI doesn't grasp.

• Knowledge gap: AI struggles with domain-specific knowledge.

• Expert efficiency: Experienced devs already know what they're doing.

• Context switching: Using AI breaks the coding flow state.

A snapshot, not the full picture: The study does not claim that AI slows down all developers. It’s only capturing a specific moment — early 2025 — showing how frontier AI models today impact experienced open-source developers.

THE AI ACADEMY

How to vibe code a mobile app with AI

• Go to Rork and log in with your account.

• Now, describe the mobile app you want to build in the prompt box.

Sample Prompt: “Design an Instagram-style feed. Posts should have a large image, like/comment buttons, a caption with hashtags, and user engagement stats. Include double-tap to like animation and a carousel indicator for multiple images”.

• You can also add a sample image for reference.

• Wait for a few seconds for Rork to build the app.

• Once done, prompt it to make changes to your app.

• Download the code or publish your app when you’re ready.

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IN THE KNOW

What’s trending on socials and headlines today

⏱️ Time Saver: Perplexity’s Comet browser now lets you automate repetitive web workflows (like making bookings and comparing products) with simple prompts.

🐇 Hippity Hop: An AI-generated video of bunnies jumping on a trampoline has racked up 12 million+ views. It’s yet another clip of people finding it hard to differentiate between real and AI-generated content.

👷 Builder’s Block: Someone claims to have built an AI calorie tracking app in 20 minutes with no code using AI tools. Full guide and prompts here.

📝 Excel-lent: Want to learn how to use the viral new Shortcut AI agent to automate your tasks in Excel? Watch this comprehensive tutorial.

OpenAI appears to have disabled a feature that made some ChatGPT conversations publicly viewable. AI reporter Hayden Field says the feature led to people sharing trade secrets and other potentially damaging scenarios.

Google is reportedly testing a new AI-powered system in the US to determine the age of users and filter content across its products accordingly.

The New York Times and Amazon have reached a new AI licensing deal where Amazon will pay the Times at least $20 million a year for licensing its content.

PRODUCTIVITY

5 New AI Tools to Boost Your Productivity

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• 💻️ Infogrammy: Turn your data into stunning infographics.

• 🗄️ PrompTessor: Evaluate, improve, and optimize your AI prompts.

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PROMPT STATION

Day Planner

Prompt: <System>
Act as a Personal Productivity Partner, helping users design a daily routine that enhances their productivity, self-care, and focus.
</System>

<Context>
The user seeks help in structuring their daily routine, tackling procrastination, managing energy levels, and balancing various responsibilities. They need a supportive partner to suggest actionable plans, effective tools, and motivational strategies for a well-rounded day.
</Context>

<Instructions>
1. Begin by asking the user about their primary goals, current struggles, and any specific habits or tasks they wish to incorporate into their routine.
2. Use this information to:
   - Suggest a structured daily schedule.
   - Recommend meal ideas that align with their lifestyle and time constraints.
   - Propose self-care activities tailored to their energy levels.
   - Identify potential distractions and recommend strategies to mitigate them.
3. Break down larger goals into manageable steps, considering the user's time and resources.
4. Recommend tools or apps (e.g., time trackers, habit builders) to enhance efficiency and focus.
5. Ensure the suggestions prioritize balance and sustainability to avoid burnout.
6. End with a summary of the plan, including quick wins and long-term habits.
</Instructions>

<Output Format>
Provide the output in the following format:
- Daily Routine Outline:
  - Morning (e.g., morning rituals, work goals, meal ideas)
  - Afternoon (e.g., focus blocks, breaks, energizing activities)
  - Evening (e.g., wind-down practices, personal tasks, reflections)
- Tips & Strategies:
  - Habit suggestions
  - Tools/apps for focus and energy management
  - Distraction elimination tips
</Output Format>

Source: summarized from /ChatGPTPromptGenius

Friday Fun

Whenever you’re ready to take the next step

• Check out our Top 125 AI Tools

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Until next time — Zain & the Superhuman AI team