Artificial Sweetener, Your Morning Dose of Real-Life AI

Brought to you by Abraham Noya, COO of AI Advantage

Let’s make this simple. You’re busy. You’ve got work to do, maybe kids to drop off, meetings to run, and zero time to chase every flashy AI headline. That’s where I come in. Here's what actually matters this week in AI, no fluff, just systems thinking and tools that work in the real world.

This Week's Lineup:

• Why AI’s next leap is spatial intelligence

• Anthropic’s lean strategy could beat OpenAI’s scale

• Copilot turns spreadsheet hell into insight heaven

• GPT-5 solves Sudoku, why it actually matters

• 4 tools you’ll want in your workflow this week

Why AI’s next leap is spatial intelligence

Abe’s Take: Language models can talk. But they still don’t “see” the world. Spatial intelligence is how we bridge that gap, and that’s where the real-world wins (robotics, science, health, logistics) will come from.

Dr. Fei-Fei Li, often dubbed AI’s “godmother”, just dropped a perspective piece arguing the next major breakthrough will come from AI that can perceive and reason in 3D space. Think: understanding movement, predicting interactions, and simulating physics with accuracy.

Why it matters: Spatial AI could power everything from autonomous labs and medical robots to climate simulation and architectural design tools. Google, Tencent, and Li’s World Labs are all in the race, expect this space to heat up fast.

Anthropic’s Efficiency Play vs OpenAI’s Scale

Abe’s Take: Anthropic is playing the long game. Less hype, more focus. They’re proving that winning in AI isn’t just about burn rate, it’s about building systems that scale smart.

According to The Information, Anthropic projects $6B in compute costs for 2025, compared to OpenAI’s $15B. By 2028? $27B vs $111B. Huge gap.

Why? Anthropic is using a multi-chip strategy (Amazon, Google, Nvidia), optimizing task-level processing, and keeping its stack lean. Plus, 80% of its revenue is from API access, not consumer tools.

Bottom line: Anthropic is betting on efficiency, enterprise, and API-first scaling. OpenAI is going broad with product layers and consumer reach. Two philosophies. One finish line.

Copilot + Voice + Vision = Spreadsheet Superpowers

Abe’s Take: If you’re still writing formulas manually, you’re wasting hours. Copilot Vision turns your spreadsheet into a conversation.

Here’s the workflow:

1. Install Microsoft Copilot on your device.

2. Open any Excel or Google Sheet.

3. Say: “Hey Copilot, what’s our most profitable product this month?”

4. Watch it highlight cells, calculate, and even draft a summary report.

Power combo: Use Copilot Vision + Voice Mode to analyze, visualize, and report, all hands-free. Great for execs, parents multitasking, or operators trying to speed up workflows without losing accuracy.

Bonus use: Use this same workflow to read long documents aloud, summarize PDFs, or even study with AI as a tutor.

GPT-5 Solves 9x9 Sudoku. So What?

Abe’s Take: Don’t get distracted by the “fun fact” headline. What’s exciting here is GPT-5’s leap in spatial reasoning and problem-solving. That’s a window into the future of agent planning and tool use.

Sakana AI’s Sudoku-Bench finally got cracked, GPT-5 became the first model to solve a full 9x9 puzzle. It hit a 33% solve rate (previous best was ~15%), signaling progress in deep, multi-step reasoning.

Why this isn’t just a party trick: Sudoku demands constraint satisfaction, spatial logic, and creative rule-bending—the same skills we need from AI agents that can plan, debug, or act autonomously in uncertain environments. GPT-5’s showing it can reason in tighter loops.

Tool Stack You Should Try This Week

Here are 4 standout tools I’ve tested or seen in use across operators, marketers, and parents juggling way too much:

1. Lovart – Design agent that combines Sora 2, Veo 3.1, and Nano Banana for motion-based brand assets. Just crossed $30M ARR. Use it for pitch decks, reels, and digital ads, no designer needed.

2. Warp – AI-native terminal that acts like an IDE. Ask it to debug, explain code, or onboard you to a repo. Think: GitHub Copilot meets command line.

3. Puzzle – AI-first finance stack. Upload your QuickBooks or P&L, and it builds dashboards, alerts, and what-if forecasts.

4. Miro AI Assist – If you’re in Notion or FigJam often, Miro’s new AI Assist helps with systems thinking, flowcharts, and visual collaboration in seconds.

That’s it for this morning’s dose. If you learned something, pass this along to a friend who’s trying to stay ahead without drowning in hype. I’ll be back next week with what’s actually useful.

Want to stay ahead of AI, not the hype, just the real tech quietly changing how we live, work, and parent? Join our free AI Advantage community here:The AI Advantage Community. Thanks for reading, Abe.