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This Tech Company’s Model Finally Caught Up To The Hype
AI isn’t just about who shouts the loudest anymore.
One quiet heavyweight just rolled out a model that early testers are calling state-of-the-art, even as investors argue about bubbles, froth, and what’s actually worth owning into 2026.

$6B Team Just Unleashed Cinderella on a $2T Market
Cinderella isn’t looking for her glass slipper— she’s busy smashing the $2T media market to pieces.
Elf Labs spent a decade at the US Patent & Trademark office in a historic effort to lock up 100+ historic trademarks to icons like Cinderella, Snow White, Rapunzel and more — characters that have generated billions for giant studios. Now they’re fusing their IP with patented AI/AR to build a new entertainment category the big players can’t copy.
And the numbers prove it’s working.
In just 12 months they raised $8M, closed a nationwide T-Mobile–supported telecom deal, launched patented interactive content, and landed a 200M-TV distribution partnership.
This isn’t a startup. It’s a takeover. And investors are sprinting to get in.
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Autonomous Systems
Uber Sends a New Robot Army Rolling Into Europe

Uber Technologies (NYSE: UBER) is adding a fresh twist to its delivery playbook as its UK users prepare to meet a new fleet of sidewalk bots cruising through Leeds and Sheffield.
These six-wheeled machines glide along footpaths, dodge pedestrians, and bring your snacks right to the curb with a level of punctual swagger only a robot can pull off.
Robotics is becoming the secret ingredient in Uber’s expansion strategy.
After years of testing different autonomous partners, the company is now stitching together an ecosystem of delivery bots that can handle short hops faster than a car and cheaper than a courier.
Europe Becomes a Giant Test Track
The UK launch is only phase one. Uber plans to expand the robotic rollout across Europe in 2026 as cities lean into low-traffic zones and sustainability mandates.
Sidewalk bots fit neatly into that puzzle because they run on batteries, sip very little energy, and avoid clogging streets already overloaded with vans.
As urban layouts change, these lightweight bots give Uber a better way to reach customers living in narrow lanes or high-density neighborhoods, where riders often lose time hunting for parking.
The Bot Economy Keeps Expanding
Robots can run all day without breaks, burnout, or excuses, which means Uber gains a steady stream of reliable micro deliveries.
You will see more of these machines over the next few years as the economics improve with scale.
If Uber nails the UK rollout, expect your future fries to arrive with mechanical charm.

Infrastructure
The Quantum Internet Begins; IBM and Cisco Connect the Machines

IBM (NYSE: IBM) and Cisco (NASDAQ: CSCO) are teaming up to fuse multiple quantum computers into a shared network that behaves like a single massive system.
You are basically watching the first blueprint for a quantum super organism, where thousands of qubits stretch across machines and sync in real time for workloads that classical clusters cannot touch.
The plan includes a first proof of concept within five years, linking separate quantum processors using new hardware layers, microwave optical transducers, and high-speed quantum control software.
The early 2030s are the target for a network that serves as a single mega-compute unit.
The Quantum Data Center: Where Qubits Learn to Teleport
The design revolves around quantum networking units that turn stationary qubits into flying qubits that can teleport information between systems.
Cisco’s networking stack will handle routing, entanglement flow, timing accuracy, and dynamic reconfiguration as algorithms demand.
IBM will build the endpoint hardware that connects each quantum processor to the future quantum grid.
Once enough of these are linked across data centers, the whole architecture begins functioning like a unified quantum brain.
The Quantum Internet Blueprint: A 2030s Compute Reset
Looking ahead, the same framework could expand into sensors, communication tools, and distributed quantum devices.
Researchers see a future where climate modeling, cybersecurity, medicine, and material engineering are redesigned through this quantum internet foundation.

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Social Apps
YouTube Wants Your DMs Back

YouTube is testing a fresh private messaging feature that lets users share videos and chat inside the mobile app.
A single tap on the Share button opens a full-screen chat where you can drop Shorts, long videos, and livestreams directly into a one-on-one or group conversation.
You get to reply with videos, text messages, or emoji reactions, turning the player into a lightweight social hub.
The move removes the need to bounce between WhatsApp, Instagram, or iMessage whenever you want to show someone a clip, and it makes YouTube feel more like a complete communication loop.
Safety Controls First; Adults Only and Invite-Based Access
YouTube is keeping the feature restricted to adults in Ireland and Poland while the test runs. Every chat starts with an invitation, so random accounts never slip into your inbox.
Users can unsend messages, block others, and report problematic threads.
Moderation tools cover conversations the same way they cover comments, giving creators and everyday users a cleaner space to share without worrying about unwanted interactions.
A Bigger Mission: YouTube Wants to Become a True Social Layer
The new messaging tool signals a shift toward deeper engagement inside the app.
YouTube has watched social platforms dominate video sharing for years, and now the company wants that loop back.
You might find yourself sharing, discussing, and reacting to videos without leaving the platform at all.
If the experiment expands, YouTube could quietly evolve into a full watch plus chat ecosystem that feels more social than ever.

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Recent Tech Movers
Joby Aviation (NYSE: JOBY)
From Air Taxis To Defense Budgets
Joby has quietly gone from sci-fi air taxis to real contracts and real test flights.
It just completed the UAE’s first piloted point-to-point air taxi flight and is leaning hard into a second act: a purpose-built, turbine-electric autonomous aircraft for the defense market, alongside partner L3Harris.
That move taps a multi-billion-dollar Pentagon budget and gives Joby a way to bring in government-backed revenue while the commercial air taxi network crawls through certification.
For you, the angle is simple: this isn’t just a moonshot mobility story anymore, it’s an aerospace platform with a defense division and multiple shots on goal.
Nvidia (NASDAQ: NVDA)
Bubble Talk Meets Off The Charts Demand
Nvidia just reminded everyone why it’s still the scoreboard for the AI trade.
Revenue for the latest quarter jumped roughly 62%, with data-center sales up even more and guidance again ahead of what Wall Street had penciled in.
Management is calling demand for its new Blackwell systems off the charts, and cloud GPUs are basically sold out.
That doesn’t erase AI-bubble worries or a rich 50x-ish earnings multiple, but it does explain why each this is it selloff keeps turning into a buy-the-dip for anyone who thinks the AI buildout still has years to run.
Block (NYSE: XYZ)
From Fixing The Story To Growing Into It
Block has spent most of 2025 in the penalty box, with the stock down nearly 30% year to date. Its investor day was the first real attempt to flip that script.
Management laid out a plan for gross profit to grow in the mid-teens annually through 2028, with adjusted operating income and EPS growing roughly 30% a year and approaching $16 billion and $5.50, respectively, by the end of the period.
They also added $5 billion to the buyback authorization and rolled out a “rule of 40” framework to keep growth and profitability joined at the hip.
If they actually hit those targets while Cash App and the seller ecosystem keep compounding, this starts to look less like a broken fintech and more like an under-owned compounder that grew faster than its narrative.

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The Search Giant Trying To Win The Next Round Of AI
Alphabet Inc. (NASDAQ: GOOG)
Alphabet was already having a year, with shares up more than 50% on the back of an AI-boosted ad and cloud story.
Then it dropped Gemini 3, a new model that early testers and several research desks are calling genuinely state-of-the-art.
The model aims to handle more complex questions, understand context with less hand-holding, and slot into everything from search to the Gemini app to enterprise tools.
For a company that’s spent two years being told it fell behind, this is a chance to reframe the whole conversation.
At the same time, you’ve still got the usual Alphabet strengths in the background: a cash-gushing ads engine, a cloud arm that just crossed meaningful scale with a big AI backlog, and a valuation that’s rich but not nosebleed compared with some megacap peers.
Scorecard You Can Use
Core Ads Still Print: Search and YouTube are still the main cash machines, throwing off the operating income that pays for all the AI experiments.
Cloud With AI Attached: Google Cloud is now a true hyperscaler, and AI services wrapped around Gemini and custom chips help it stand out in a three-horse race.
Model Credibility: Early notes on Gemini 3 suggest it can hang with, and in some areas beat, rival frontier models. That matters for winning developers and enterprise deals, not just headlines.
Multiple That Has Room: Trading around the high-20s on forward earnings, Alphabet isn’t cheap, but it’s still cheaper than some AI-heavy names that have shakier fundamentals.
Why The Tape Cares
If AI becomes less about one-off chatbots and more about deeply embedding models into search, productivity tools, Android, Chrome, and the broader web, Alphabet is sitting in the middle of that traffic.
Every time Gemini 3 or its successors make search results more useful, Workspace smarter, or YouTube recommendations stickier, Alphabet quietly defends and expands its moat.
The other angle: all of this helps close the perceived gap versus rivals. For the last two years, the market narrative has been they’re behind.
Strong Gemini releases plus solid adoption in things like AI Overviews are how you erase that story without having to shout about it on every conference call.
What Could Spook It
AI Spend vs. Payback: If capex for data centers, chips, and model training keeps climbing faster than the revenue coming back, margins could stall and the multiple could slip.
Regulation Overhang: Antitrust and privacy actions in the U.S. and Europe are still real risks; any forced changes to default search, ad targeting, or app store practices could nick growth.
Competitive Heat: OpenAI, Anthropic, and others are iterating fast. If developers and enterprises perceive their models as consistently better, Alphabet risks being seen as good enough instead of must have.
What To Watch Next
Gemini 3 Adoption: Look for concrete stats on active users, enterprise logos, and how much traffic is flowing through AI Overviews and Gemini inside search.
Cloud Growth And Backlog: Are AI workloads driving faster growth and better margins, or just adding cost? Cloud is where a lot of this AI narrative has to show up in numbers.
AI Surfaces In Everyday Products: How quickly features powered by Gemini show up in Android, Chrome, Workspace, and YouTube will tell you how serious they are about distribution.
Actionable Take
Builders: Alphabet may be a name you buy on red days and leave alone for 3–5 years. You’re betting that ads stay resilient, cloud and AI keep compounding, and Gemini turns into a real second engine rather than a science project. Size it like a core holding, not a flyer.
Traders: With the stock near highs and sentiment warming on Gemini, pullbacks toward prior support zones could be spots for quick entries, and any euphoric spike on AI headlines might be a chance to trim or reset. Watch how it trades around the next batch of AI updates and macro wobbles.
Bottom Line:
If this latest model cycle proves that Alphabet can match or beat the best in AI and push that power into search, cloud, and everyday apps, the stock stops being just an ad machine with optionality and starts to look like a true AI platform.
That’s the rerate the market is slowly trying to price in, and why this one may still be worth watching closely from here.

Everything Else
🛠️ OpenAI is teaming up with iPhone assembler Foxconn in the US to turn custom AI hardware from a slide-deck idea into something that actually rolls off a factory line.
🪙 Bitcoin’s slide to its lowest level since April is flushing out the late-cycle tourists and testing just how diamond those hands really are ahead of year-end.
🛢️ Washington just greenlit AI chip exports to Gulf buyers, giving data-center buildouts in Saudi and the UAE a fresh tailwind and adding another twist to the geopolitics of GPUs.
📱 Samsung put its mobile boss TM Roh in the co-CEO chair, restoring the tech giant’s dual-leadership model just as device and chip strategies get more intertwined.
⚛️ IBM and Cisco are sketching out networks of quantum computers for the early 2030s, laying the plumbing for a potential quantum internet long before most of us can explain what a qubit is.

That's our coverage for today; thanks for reading! Reply to this email with feedback or any tech stocks you want me to check out.
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—Noah Zelvis
Tech Stock Insider



