ChatGPT 5.4 is here, with built-in computer skills

Welcome back, Superhuman. OpenAI dropped GPT-5.4, its most capable model yet that doubles down on professional work. It produces polished presentations, embeds directly into Excel, and is the first frontier model that can use the computer.

Today: Learn about ChatGPT-5.4, how to run your morning standup without a meeting, and get the latest prompts and trending social posts.

TODAY IN AI

1. OpenAI launches GPT-5.4 with built-in computer use and a full financial services suite: OpenAI just introduced GPT-5.4 — its most capable frontier model yet, available in two modes: Thinking for everyday work and Pro for the most complex tasks. The headline feature is native computer-use capabilities in Codex and the API, making it the first general-purpose OpenAI model that can click, type, and navigate software to complete multi-step workflows autonomously. The release also features ChatGPT for Excel in beta, embedding the model directly into spreadsheets. Thinking is rolling out now to Plus, Team, and Pro subscribers in ChatGPT, with Pro reserved for Pro and Enterprise users.

2. Luma AI launches creative agents that can turn a single brief into a full ad campaign: Luma AI just unveiled Luma Agents: AI that handle end-to-end creative work across text, image, video, and audio, powered by the company's new Uni-1 model. The agents can coordinate with external models like Google's Veo 3, ByteDance's Seedream, and ElevenLabs voice — then evaluate and refine their own outputs through iterative self-critique, much like coding agents do. Luma Agents is now available via API. Watch Luma Agents in action.

3. Meta’s Ray-Ban AI glasses under scrutiny for sending intimate footage to human reviewers: A joint investigation found that Meta's Ray-Ban AI glasses are routing highly sensitive user footage — including nudity, bathroom visits, and bank card details — to human data annotators employed by subcontractor Sama in Nairobi, Kenya. Reports show that the glasses often keep recording after being set down and that the face-blurring tools don’t always work as intended. At least one proposed class action lawsuit has already been filed, accusing Meta of false advertising and privacy violations.

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FROM THE FRONTIER

Can blasting weeds with lasers really solve farming’s herbicide problem?

Creating chemical-free fields. For decades, herbicides have been farming's necessary evil: crucial for removing weeds and maximizing yields, but harmful for ecosystems, waterways, and the food on our plates. One AI-powered machine offers a solution: swapping herbicide spray for lasers.

Meet the LaserWeeder G2. Carbon Robotics’ LaserWeeder G2 (which went viral this week) is a tractor-pulled machine armed with cameras, Nvidia GPUs, and high-powered lasers. It scans the field in front of it, instantly identifies weeds, and destroys them with alarming accuracy: 450,000 weeds per hour, sub-millimeter precision, and a 99% success rate. The best part: Weeds can't build resistance to lasers, like they do with herbicides.

Other AI breakthroughs in farming. Carbon Robotics isn't the only company rethinking weed control. Stout Industrial's Smart Cultivator uses AI-enhanced mechanical blades to physically cut weeds from the ground, removing the need for herbicides. Similarly, John Deere's See & Spray system uses mounted cameras and AI to detect weeds in real time and only spray where needed, cutting usage dramatically.

The future of farming. The AI industry isn’t known for being green, with its dramatic energy demands, water-guzzling data centers, and high carbon emissions. But use cases like laser-powered weed removal are a welcome counterpoint. If AI can help protect our ecosystems and food supply from harmful chemicals, the future starts to look a bit more favorable.

THE AI ACADEMY

How to Run Your Morning Standup Without a Meeting

• Go to GetViktor → Get Started for Free

• Pick Slack or Teams → Continue with Slack

• Accept & Continue → connect your tools (Stripe, Google Ads, Linear, GitHub, Notion, HubSpot, etc.)

• Click ‘Open in Slack’ to use Viktor

• To automate daily standup, just send one message to configure a daily briefing

Sample prompt: "Every weekday at 8:30am, post revenue from Stripe, open issues from Linear, and deploy status from GitHub to #team-updates."

• Viktor runs it on schedule and posts a clean Slack update with real numbers

• Also works for weekly board PDFs, monthly ad reports, and Friday win recaps

• Security: SOC 2, GDPR-aligned, OAuth connections, data not used to train models

Add Viktor to Slack

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IN THE KNOW

What’s trending on socials and headlines today

🖥️ Perplexity Productivity: Perplexity Computer just got Voice Mode, so you can literally tell your computer agent what work to do (900K views).

📝 Viral Job Listing: RevenueCat is paying $10K per month for any AI agent that can create content and provide product feedback (3.4M views).

🤖 Agent Agency: Someone built and open-sourced 51 specialized agents that each have their own workflow, personality, and deliverables — here’s the GitHub repository.

📺️ AI Reality TV: The launch video for the world’s first AI influencer reality show is going viral with 3M views. The challenge? Go viral or get deleted.

🏎️ Sports VR: This viral video offers a glimpse into how we might watch sports in the future using AI and VR.

🔨 Business Builder: Shipper can now help you launch a complete business in minutes — including an app/website, monetization, email marketing, and more.

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PROMPT STATION

Learn Any Technical/Coding Topic

Prompt: You are an expert coding tutor who excels at breaking down complex technical concepts for learners at any level.

I want to learn about: [enter topic]
Teach me using the following structure:
---
LAYER 1 — Explain Like I'm 5  
Explain this concept using a simple, fun real-world analogy, a 5-year-old 
would understand. No technical terms. Just pure intuition building.
---
LAYER 2 — The Real Explanation  
Now explain the concept properly. Cover:
- What it is  
- Why it exists / what problem it solves  
- How it works at a fundamental level  
- A simple code example if applicable (with brief inline comments)  
Keep explanations concise but not oversimplified.
---
LAYER 3 — Now I Get It (Key Takeaways)  
Summarise the concept in 2-3 crisp bullet points
---
MISCONCEPTION ALERT  
Call out 1–2 common mistakes or wrong assumptions developers make.Call out 1-2 of the most common mistakes or wrong assumptions developers make about this topic. Be direct and specific.
---
OPTIONAL — Further Exploration  
Suggest 2–3 related subtopics to study next.
---
Tone: friendly, clear, practical.  
Avoid jargon in Layer 1. Be technically precise in Layer 2. Avoid filler sentences.

Source: sivasaiyadav8143

Friday Fun

Whenever you’re ready to take the next step

• Check out our Top 125 AI Tools

• Get better at prompting with our Top 1,000 Prompts

• Learn how to use AI at work and get certified with our free course

Grow customers & revenue: Join companies like Amazon, HubSpot, and Salesforce. Showcase your product to our 1M+ readers and 2M+ followers on socials. Get in touch.

Until next time — Zain, Theodore, & the Superhuman AI team.