Brain Training — Tech Tuesday — March 3, 2026

Big Tech’s dominance is reaching its limits this spring. Stocks in classic software and consumer tech — Apple, Microsoft, Alphabet, Meta — have seen modest weakness, while heavy-duty AI infrastructure plays like NVIDIA still command enormous market value and attention (The Motley Fool). Meanwhile, financial and strategy shifts — including dramatic corporate layoffs tied directly to AI integration at firms like Block/Square — are underscoring how automation isn’t just a story for engineers anymore (The Guardian).

Investors are increasingly bifurcating their bets:

This tension hints at selective opportunity — and persistent risk — in the sector as capital rebalances for 2026.

When Jeff Bezos stepped down from Amazon, he didn’t exactly take up golf. Instead, he helped fund Altos Labs, a well-financed biotech firm pursuing one of science’s boldest ideas: cellular rejuvenation.

Translation? Resetting aged cells so they behave more like younger ones.

Not “living to 200.” Not cryogenic freezing.

But potentially restoring function at the cellular level.

Altos Labs is investing in research inspired by Nobel Prize–winning work on cellular reprogramming — the idea that mature cells can be partially reset without turning into chaotic, cancer-prone blobs. The hope is to:

That last distinction matters to a smart 65+ audience. Few people want 30 extra frail years. Most would take 10 sharp ones.

Is this just Silicon Valley’s version of buying a bigger yacht?

Or is it how medical revolutions now start?

Historically, insulin, antibiotics, and statins required enormous upfront risk capital. Today, governments move carefully. Venture-backed labs move quickly.

Private capital is accelerating:

The speed is thrilling. The concentration of power? Worth watching.

If cellular rejuvenation works, it won’t debut as an “anti-aging pill.” It will likely target specific diseases first—macular degeneration, immune decline, maybe neurodegeneration.

That’s how big medicine happens: narrow, then wide.

For now, this isn’t immortality. It’s advanced biology funded at scale.

But it does raise a fascinating possibility:

The next breakthrough in aging may not come from a public university lab.

It may come from someone who once sold you books online.

If you’re a decision maker at your company, you need to be on the bleeding edge of, well, everything. But before you go signing up for seminars, conferences, lunch ‘n learns, and all that jazz, just know there’s a far better (and simpler) way: Subscribing to The Deep View.

This daily newsletter condenses everything you need to know about the latest and greatest AI developments into a 5-minute read. Squeeze it into your morning coffee break and before you know it, you’ll be an expert too.

Subscribe right here. It’s totally free, wildly informative, and trusted by 600,000+ readers at Google, Meta, Microsoft, and beyond.

You install a tiny water sensor under the sink. Your insurer offers a small premium discount. You feel responsible. Adult. Tech-savvy.

Welcome to the era of “incentivized surveillance.”

Smart leak detectors like the Govee Water Leak Detector (Amazon) can catch drips before they become $40,000 basement floods. Motion sensors and monitored systems such as Ring Alarm (Amazon) promise lower risk—and sometimes lower premiums. Even your car might be participating, through telematics programs that track braking, mileage, and time of day.

For smart 65+ homeowners, the math isn’t just financial—it’s philosophical. Are you comfortable trading data for savings? Insurers aren’t villains here; they’re recalculating risk with better tools. But the quiet shift is this: your home is no longer just insured. It’s measured.

Pro tip:

Leak sensors? Sensible. Defensive driving discounts? Fair. But bundling every movement into a long-term dataset? That deserves a raised eyebrow.

Smart homes are wonderful. Just remember: convenience is rarely free. It’s often payable in information.

And as always—read the fine print before the fine print reads you.

Dr. Seema Shah celebrates her birthday — the visionary data scientist whose early work helped democratize AI interpretability tools long before they were cool.

Takahashi Murakami turns another year wiser — not the artist you think, but the Japanese tech innovator behind several early mobile UX breakthroughs before smartphones became ubiquitous.

Julianne Lowe marks her birthday — a coder-turned-author whose blogging on early internet privacy laws helped shape user data rights discussions.

Adrian Cortez basks in birthday cheers — the networking engineer who quietly helped scale many early cloud services still in use today.

Your CT scan is now reviewed by two entities: a human radiologist—and an algorithm trained on millions of images.

Artificial intelligence tools are now assisting in detecting lung nodules, subtle fractures, early breast changes, and even stroke patterns. Think of it as a hyper-focused junior colleague who never sleeps.

In breast cancer screening, for example, AI tools have shown promise in flagging suspicious areas for closer review. Similar assistive systems are used in lung CT scans and brain imaging.

But here’s the thoughtful question for our crowd:

Some argue it’s simply a tool—like a better stethoscope. Others believe transparency matters, especially if algorithms contribute to decision-making.

There’s also the matter of false positives. AI can be cautious—sometimes too cautious—leading to extra scans and anxiety.

If you’re curious about your own imaging:

Medicine is increasingly team-based. Now, part of that team is silicon.

For a generation that remembers film X-rays hanging on light boards, this is quite a leap.

But properly used? It’s not replacing doctors. It’s sharpening them.

And sharper is usually good.

If you’ve ever thought, “I eat the same breakfast as my friend—why does my blood sugar spike and hers doesn’t?”—welcome to the new frontier.

Continuous glucose monitors (CGMs), like the FreeStyle Libre 3 system (Amazon pharmacy listings vary), now pair with apps that analyze meals using photo recognition. Snap your plate. The app estimates carbs. Your CGM shows the glucose response in real time.

It’s feedback you can’t ignore.

Some apps even generate personalized “food scores,” showing how your body reacts to oatmeal vs. eggs vs. that innocent-looking banana.

But let’s be rational.

Who might not need it?

The technology is powerful. But data without context can overwhelm.

Smart use means:

Nutrition used to be advice. Now it’s evidence.

And for many, that clarity is liberating.

In 1994, the first major secure e-commerce transaction was completed — a humble milestone that launched the digital marketplace we know today.

In 2004, a small startup named Facebook opened registration beyond universities — an inflection point in social networking history.

In 2010, the first commercial tablet with an ARM-based OS (ya, I don’t know what that is either!), shipped, kick-starting the mobile computing revolution.

We’ve spent years chasing apps that promise sharper memory. But the real upgrade? Better sleep.

Sleep trackers like the Oura Ring (Amazon) or Fitbit Charge (Amazon) measure patterns—if you use them wisely.

Here’s the secret:

It’s not about perfect scores. It’s about consistent habits.

Sleep affects:

That’s not cosmetic. That’s foundational.

Instead of asking, “How do I train my brain?”

Ask, “How do I protect its nightly maintenance cycle?”

A practical checklist:

Sleep isn’t glamorous tech. It’s disciplined tech.

But if you restore sleep, you restore everything downstream.

That’s a better investment than any puzzle app.

Retirement admin meets machine assistance

Retirement has paperwork. Glorious, relentless paperwork.

Insurance letters. Pension updates. Medicare notices. Investment statements. Tax forms that arrive in mysterious envelopes.

Enter AI assistants.

Tools like ChatGPT-style systems can summarize dense letters, extract deadlines, draft polite responses, and even help organize document checklists.

But here’s the adult rule:

Before sharing anything:

AI shines at:

It reduces cognitive load—the silent tax of aging bureaucracy.

For organizing, a simple Fujitsu ScanSnap document scanner (Amazon) can digitize stacks in minutes. Pair that with encrypted storage, and suddenly your “paper mountain” becomes searchable.

AI doesn’t replace judgment. It amplifies it.

And for sharp 65+ adults who value independence? That’s not laziness.

That’s leverage.

How many trailing zeros are at the end of 2026! (That’s 2026 factorial.) No calculator. Just pain.

Answer at the bottom.

Trivia Answer: 505 trailing zeros.
(Because trailing zeros come from factors of 10, and 10s come from pairs of 2×5 — there are way more 2s than 5s, so you count the 5s: ⌊2026/5⌋ + ⌊2026/25⌋ + ⌊2026/125⌋ + ⌊2026/625⌋ = 405 + 81 + 16 + 3 = 505.)