Good morning. The AI world moves fast, but most of it doesn’t matter to your day-to-day. That’s why I pull the signal from the noise — and send you what’s actually useful. Whether you're a parent, a founder, or just trying to automate one more thing before your next meeting, this is your no-fluff download of the AI moves worth knowing.

Let’s get into it.

Meta’s Smart Glasses Might Finally Be Useful

Abe’s Take: Smart glasses used to feel like a gimmick. Meta may have just made them useful — not by adding more buttons, but by removing the need to touch anything at all.

Meta dropped three glasses at Meta Connect, but here’s what matters:

• Neural Band + Display Glasses can detect your finger movements before they happen (it reads your muscle signals).

• It’ll learn your unique control patterns. Think: scroll, navigate, send messages — all without speaking or tapping.

• The Ray-Ban Gen 2 gives you 8 hours of battery, 3K Ultra HD video, and focused audio even in noisy places.

• Oakley Vanguard is made for athletes — 9-hour battery, water resistance, connects with Garmin to show stats.

  
  

Why it matters: This is a step toward wearables that actually feel natural. No yelling commands. No looking like a cyborg. The Neural Band sensing intent before movement? That’s the bridge to a future where your tech doesn’t just follow your touch — it follows your thoughts.

Sana Agents: AI That Analyzes Spreadsheets Like a Human (But Faster)

Abe’s Take: Most “AI dashboards” still need a BI team. Sana Agents flips that — now your ops, sales, or marketing lead can ask, “How are Q3 leads trending?” and get real answers. No SQL. No waiting.

Use Sana to:

• Ask questions in plain English. Get real-time charts and insights.

• Analyze complex spreadsheets instantly — no formulas needed.

• Empower every team to self-serve their data.

  
  

Result: PE firms like Norvestor use it to make decisions 2x faster. If you’re drowning in sheets, this is your oxygen tank.

GPT-5 & Gemini Just Beat the Best Human Coders on Earth

Abe’s Take: This is the kind of news that’ll quietly shift the talent game. If AI can outperform the top coders at ICPC, what happens to the junior dev pipeline?

Here’s what went down at the 2025 ICPC World Finals:

• OpenAI’s GPT-5 solved all 12 problems — something no human team pulled off.

• Google’s Gemini 2.5 nailed 10/12, including one no human could solve.

• Both competed under real contest rules. The top human team got 11/12.

  
  

Why it matters: AGI may still be a vague term, but in very real domains like programming, superhuman performance is already here. This isn’t “what if” — it’s “what now?”

Build AI Marketing Videos with Claude + Remotion

Abe’s Take: Most founders think pro video = hiring a motion designer. This flips that. You prompt it, it builds the whole thing — transitions, effects, assets included.

How it works:

1. Run: npm install -g @anthropic-ai/claude-code

2. Then: claude in your project folder

3. Prompt: "Create a premium video for [company] using Remotion"

4. Drop in logos, screenshots, brand colors — the AI integrates them into the final cut.

   
   

Pro tip: Add your assets before you prompt. Claude will use them to make the video look like your brand out the gate.

This is a full marketing studio in a terminal window.

IBM Instana Helps Devs Fix Incidents Before the 2 AM Pager

Abe’s Take: If you’ve ever been the person waking up to a broken API call at 2 am, you’ll love this. It’s like having an AI ops assistant that doesn’t sleep.

Instana now includes:

• Agentic AI that investigates and suggests fixes automatically

• Instant documentation + remediation steps

• Faster incident resolution without needing a war room

  
  

For teams running lean or distributed, this cuts hours off troubleshooting. No need to wait for the one engineer who understands the legacy system.

AI Can Now Predict Your Health Risks… 20 Years Out

Abe’s Take: This feels like the actual future of medicine — not a wearable, but a proactive system that watches your health like a chessboard.

Delphi-2M, built by European researchers, is now:

• Predicting risk for 1,258 conditions (not just one disease at a time)

• Trained on 400K UK patients’ data — visits, habits, family history

• Tested on 1.9M Danish records to confirm accuracy

  
  

Why it matters: Most health tech today reacts after you get sick. This model sees the risk years out, across connected conditions, and could eventually tell your doctor what to watch before you even feel symptoms.

Toolbox — Tools Worth Trying This Week

• Sana Agents – Self-serve analytics from spreadsheets and databases

• Claude Code + Remotion – Build full-motion branded videos from a prompt

• Meta Neural Band – A hint of mind control for your Ray-Bans

• Instana AIOps – Pager-duty AI for fast dev fixes

• Delphi-2M – Disease prediction that actually sees the whole patient

The Real Takeaway

AI isn’t just replacing tasks — it’s reshaping who can do them.

Non-tech people analyzing data. Founders making pro videos solo. Devs getting sleep again. Doctors forecasting a patient’s future.

That’s the shift. AI isn’t always loud, but it’s everywhere now — smoothing the friction from the work you used to accept as normal.

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.