Marc Edge

26 MBn | AI & Tech | Startups | Future of Work | Business | News | Automation

[Marc Edge @marcedgex]

Most people won't notice their job lost its value until it's too late.

Companies aren't just hiring less right now. They're quietly firing the people who never bothered to learn AI — and replacing them with people who did.

Not because AI is "better" than you.
Because someone using it can now do in 2 hours what used to take you 2 days. Your manager has noticed. He just hasn't said anything yet.

Here's the part nobody's talking about:
The real threat isn't AI itself. It's the person sitting next to you who started learning it 6 months ago — while you were still waiting to "see how this AI thing plays out."
That gap doesn't stay small. It compounds. Daily.

And the scary part is how invisible it is from the inside. You still show up, still do the work, still hit deadlines — right up until the moment someone with the same job title is simply worth more than you are.
Nobody sends a warning before that happens.

The people staying ahead right now aren't smarter. They just stopped treating AI as optional a long time ago.

Still think this is something that "won't reach you"?

[Marc Edge @marcedgex]

Jensen Huang just said the quiet part out loud at a commencement speech.

"AI is not likely to replace you. But someone using AI better than you might."

Read that twice.

It's not a warning about robots taking your job. It's a warning about the person sitting next to you — same title, same degree, same experience — who decided to actually learn the tools while you waited to see what happens.

That's the real threat. Not automation. Competition with a force multiplier.

Every industry has a version of this happening right now:
— The marketer who ships 10x the content
— The developer who ships features in hours, not weeks
— The analyst who turns a week of research into an afternoon

Same skillset. Different leverage.

The gap isn't AI vs. human anymore. It's human-with-AI vs. human-without.

And that gap compounds. Six months of someone building AI-fluency while you don't is not a small lead — it's a different league.

The question isn't "will AI take my job."

It's "who's already using it better than me, right now, at my company?"

[Marc Edge @marcedgex]

Kimi K3 just dropped — and it's a problem for OpenAI and Anthropic.

Look at the numbers. In Frontend Code Arena, the top-20 leaderboard, Kimi K3 sits at #1 — ahead of Claude Fable 5, GPT-5.6 Sol, and even GLM-5.2 Max.

Coding benchmarks tell the same story. Terminal Bench, Program Bench, SWE Marathon — Kimi K3 matches or beats Opus 4.8 and GPT-5.5.

Now the price.

Input: $0.30 per million tokens (cache hit). Output: $15. Context window: over 1 million tokens.

This isn't "a bit cheaper." It's a fraction of the cost of flagship-tier models like Opus or GPT-5.6, while matching or beating them on real coding tasks.

What this means for you:

If you're a developer, freelancer, or founder paying for API access, your stack built on premium models might be quietly bleeding money by next quarter.

If you assumed "expensive model = better model," this release just broke that assumption.

The race isn't just about raw intelligence anymore. It's about intelligence per dollar.

Whoever doesn't audit their stack this quarter will pay for it next quarter.

[Arena.ai @arena]

Big news: Kimi-K3 by @Kimi_Moonshot is now #1 in the Frontend Code Arena with 1679 pts, surpassing Claude Fable 5.

This is a 17-place jump from Kimi-k2.6 (#18 -> #1).

In Frontend, Kimi-K3 ranked #1 in 6 of 7 domains: Brand & Marketing, Reference-Based Design, Data & Analytics, Consumer Product, Simulations, and Content Creation Tools, landing #2 only in Gaming behind Fable 5.

The full model weights will be released by July 27.

Congrats to the @Kimi_Moonshot team on this major milestone!

[Marc Edge @marcedgex]

@_zhennii Thank you

[Marc Edge @marcedgex]

BlackRock manages $14 trillion. Larry Fink just compared this moment to the internet in 1996.

He's not talking about crypto hype. He's talking about tokenization — and BlackRock is already buying into the entire supply chain most people don't know exists.

Here's the mechanism.

A share of Apple sitting in your brokerage account is asleep. It can't move without a broker. Sell it, and you wait two days for cash to settle. A landline plugged into one wall.

Tokenize that same share and it becomes a line of code on a ledger that never closes. Trade it at 3am from anywhere on Earth. No broker, no closing bell. A landline just became a smartphone.

And once an asset is digital, it can work. Used as collateral. Lent out for yield. A sleeping share becomes active capital.

BlackRock listed one of its own tokenized funds on Uniswap — then bought into Uniswap's own token. The largest asset manager on the planet now owns a piece of an exchange built by someone in his twenties.

This isn't speculation from Fink. It's positioning.

Every stage of this pipeline — tokenized assets, the exchanges they trade on, the protocols that lend against them — has a business collecting a fee.

The question isn't whether tokenization happens. It's who owns the pipeline before it does.

What are you exposed to right now — the sleeping asset, or the pipeline?

[Marc Edge @marcedgex]

https://t.co/rJafhXrpit

[Marc Edge @marcedgex]

128GB of unified memory. 200 billion parameters. Zero internet connection required.

AMD just showed the Ryzen AI Halo — the smallest AI developer system in the world, and it fits in your hand.

Inside: a Ryzen AI Max processor with 128GB of memory shared across CPU, GPU, and NPU at once. That's why it can run models up to 200B parameters locally — no cloud, no subscription, no internet at all.

Compare that to what you're doing now: paying $20-200/month across GPT, Claude, Gemini, sending your data to someone else's servers, hitting rate limits when you actually need the model.

This flips the economics. One device, one purchase — and you're running frontier-level LLMs on your desk. Linux and Windows out of the box, preloaded models, optimized apps — idea to working pipeline in minutes, not weeks of setup.

Available Q2 2026.

For developers and founders, this solves the tradeoff you've been living with: client data privacy vs. model power. You used to have to pick one.

The question isn't whether you'll switch. It's who in your niche moves first.

[Marc Edge @marcedgex]

https://t.co/OjQZFrEmZ1

[Marc Edge @marcedgex]

100% of Riot Games. 81% of Supercell. 28% of Epic Games. 35% of Ubisoft.

That's not a list of investments. That's one company — Tencent — holding pieces of League of Legends, Clash of Clans and Clash Royale, Fortnite, and Assassin's Creed. Four separate childhoods, four separate studios, one shareholder.

And gaming is the smaller story.

WeChat is the bigger one. In the West, messaging, payments, social feeds, food delivery, and video calls live inside a dozen competing companies — each fighting for your attention, each with its own login. In China, one app does all of it. No switching. No separate accounts. Just "WeChat it."

Right now the US government is actively deciding whether Tencent gets to keep those gaming stakes. A CFIUS review has been sitting on this for years, and it's back on the table ahead of a Trump-Xi meeting — the concern being data access on hundreds of millions of players, not just market share.

Here's why this matters beyond gaming headlines: platform consolidation is the real story of this decade, not just in China. Fewer companies controlling more of the infrastructure you build a career, a brand, or a business on means fewer people deciding what the algorithm shows, what gets monetized, and what gets shut off.

If your income depends on one platform's goodwill, this is your reminder to build somewhere you actually own.

[Marc Edge @marcedgex]

Saw a screenshot of an "AI bot" that supposedly turned $400K trading crypto through Claude?

I've seen it too. Beautifully designed dashboard: live PnL ticking up, "Sharpe 4.21," "Probability Lattice," charts climbing in a perfect diagonal. Looks like a Bloomberg Terminal for crypto degens.

The problem: this product doesn't exist.

Anthropic never released anything called "Mirofish." Claude doesn't autonomously trade on Polymarket with guaranteed 81x returns. No model shows "97.4% confidence" on where Bitcoin's headed next — because that's not how any of this works, statistically or otherwise.

This is a standard 2026 scam pattern:
→ borrow a trusted AI brand's name for instant credibility
→ fake "live" metrics that only ever go up
→ pseudo-technical jargon (quincorn, relationship graph simulation) that sounds smart but means nothing
→ end goal: get you to connect a wallet "to start earning too"

One rule that saves people money: if an AI product shows guaranteed real-time profit — it's not a product, it's a funnel.

Always verify a brand directly on the company's official site, never off a screenshot in your feed.

Who else has seen one of these in their timeline?

[Marc Edge @marcedgex]

https://t.co/OjQZFrEmZ1

[Marc Edge @marcedgex]

6 words. That's the entire prompt: "create windows12 and make no mistakes."

What came back: a full desktop. Start menu, pinned apps, recent files, a taskbar with a live clock, even a fake email notification popping up in the corner.

Not a mockup. Not a wireframe. A working browser-based Windows 12 clone, built from a single one-line instruction, close to midnight, by someone with zero design brief and zero dev team.

This is the part people miss about AI coding tools: the bottleneck was never the coding. It was the spec. The endless back-and-forth with a designer, three rounds of Figma comments, a PM writing a 12-page requirements doc.

Now the requirements doc is six words.

If your job involves translating an idea into a working interface — junior dev, UI designer, no-code freelancer — the value you added was bridging that gap. That gap just got a lot narrower.

The move isn't panic. It's speed. Whoever learns to write sharper one-line prompts, faster, will out-ship whoever's still waiting on a brief.

Six words built an OS. What's stopping you from testing what six words can build for you tonight?

[Marc Edge @marcedgex]

https://t.co/rJafhXrpit

[Marc Edge @marcedgex]

220 km/h top speed. Anti-roll bars. Suspension stiffness dialed to 50,000. All tuned by AI, inside Unity, from a text prompt.

Unity opened its AI beta to the public — and it doesn't just spit out code snippets. It builds inside the actual editor.

The prompt: "Build a demolition derby arena using my assets." Seconds later: a full Colosseum-style arena, sand floor, red banners, a beat-up muscle car sitting in the center.

Next prompt: "Add a gun to the roof. Write a script to aim and shoot." The AI wrote a complete C# camera-aim controller — Cinemachine integration, aim mode, mouse-button bindings, smooth transitions back to driving view.

Then it kept iterating on its own mistakes: fixing a "wild jump" bug, adding a dynamic power curve so the car doesn't hit an invisible wall at top speed, smoothing steering so turns stop glitching.

This isn't a chatbot answering questions about Unity. This is AI directly editing a live 3D scene, writing production-grade scripts, and debugging physics from plain English.

Solo devs just got a technical co-founder that never sleeps.

The skill that matters now isn't "can you code a car controller." It's "can you describe what you want precisely enough for AI to build it."

Prompting is becoming the new IDE.

Would you trust AI to write your game's physics code?

[Marc Edge @marcedgex]

https://t.co/OjQZFrEmZ1

[Marc Edge @marcedgex]

https://t.co/OjQZFrEmZ1

[Marc Edge @marcedgex]

MRR $30,211. 4,418 tasks. 267 leads. One guy's dashboard is doing the job of an entire ops team.

Screenshots from his setup: a node map with 40+ connected pieces — client work (landscaping, a smoke shop, a skincare brand), internal products (a call tool, a lead scraper, a scheduling app), content studio, outreach, finance — all wired into one system called KRONOS.

He didn't set out to build this. His caption says it straight: "i think i accidentally built a second brain." Then: "the systems started talking to each other." Then: "it started running parts of the business for me."

That's the part worth sitting with. Most people building an AI stack are still automating single tasks — draft this email, summarize this call. He wired the outputs of one system into the inputs of the next, and the whole thing started operating without him in the loop for every decision.

That's the actual shift happening right now. Not "AI writes your emails." AI holding the org chart in its head — clients, leads, content, revenue — and routing work between them like a dispatcher.

If you're only using AI to speed up individual tasks, you're one layer behind where this is going. The leverage isn't in the tools anymore. It's in wiring them together so they run without you.

What's the first two systems in your workflow you'd actually connect?

[Marc Edge @marcedgex]

https://t.co/rJafhXrpit

[Marc Edge @marcedgex]

$30,000,000 raised by a company with one employee.

Founder Ben Cera didn't hire a team. He built an AI agent named Polsia — and let it run his own fundraise.

Polsia handled the data room. It briefed investors. It negotiated diligence. Cera only joined the final calls to sign.

The result: $30M at a $250M valuation, with the company approaching $10M in annual revenue and zero employees on payroll.

Cera spent 4.5 years as employee #2 at CloudKitchens under Travis Kalanick before building this — in about six months, out of Paris, on $1M of pre-seed money he barely touched.

Polsia's pitch: give it an idea, and it codes the product, runs ads, does the research, and works on it 24/7. Users pay $49/month plus a 20% revenue cut.

Here's the part that should make you pause: none of the revenue or usage numbers are independently audited. They're all founder-reported. Reddit and Hacker News have spent weeks picking apart the math — and yes, someone noticed "Polsia" is "AI slop" spelled backward.

Real traction or elaborate storytelling — investors like Sound Ventures and True Ventures still wrote the check.

Either way, the barrier to "founder" just dropped from a team and a seed round to an idea and a laptop.

If that's true even at half the scale claimed here — what does that do to every 10-person startup competing against it?

[Marc Edge @marcedgex]

https://t.co/OjQZFrEmZ1

[Marc Edge @marcedgex]

21 years old. $500K+ earned in 30 days. That's the number that made his mom finally believe him.

Paul Han hands his parents a black card. No limit. His mom laughs it off — thinks it's a prank. His dad asks what's actually on the account. Paul just says: book the flight. First class. Hawaii. Next month.

His mom pushes back — not out of doubt, but instinct. "You gotta show me you're actually making this before I let you spend it." Fair. So he does the math out loud: in one 30-day stretch, he cleared roughly $500K+. On the best single day alone, close to $70-100K came in.

That's not a salary. That's not a promotion. He never says the word "business" once — just shows the number and lets it speak. That's a 21-year-old who built something that prints money independent of anyone's approval — including his parents'.

The generation before him spent decades saving for the retirement trip they're now getting handed as a gift, mid-career, from their own kid.

This is the actual shift happening right now. Not "AI will replace jobs" think-pieces. Real 21-year-olds building income systems that outpace 30-year careers before they've even had one.

The skill gap isn't age. It's who understood leverage first.

If your parents' retirement plan is still "wait until 65" — you're playing a different game than Paul is.

[Marc Edge @marcedgex]

https://t.co/OjQZFrEmZ1

[Marc Edge @marcedgex]

https://t.co/OjQZFrEmZ1

[Marc Edge @marcedgex]

Guy snatches a woman's purse. She chases him down, exhausted, gives up.

He steps on a sleeping bulldog's tail. Wrong move.

Dog chases him straight into a charity race — he's now "winning" it with a bulldog on his heels. Trips at the finish line. She walks up, takes her purse back, grabs his trophy. He's flat on the ground, dizzy, cartoon birds circling his head.

30 seconds. Pixar-grade animation, full sound design, 12 scenes.

One person wrote a two-line brief. An AI agent (InVideo's Agent One) designed the characters, storyboarded it, and generated every clip itself — no animators, no editor.

[Marc Edge @marcedgex]

https://t.co/rJafhXrpit

[Marc Edge @marcedgex]

100,000 subscribers. Zero face reveals. One tool doing the heaviest part of the job.

A creator built a faceless YouTube Shorts channel around streamer clips — Ishowspeed, Tysonatt — and hit six figures in subs without ever showing up on camera.

The bottleneck wasn't editing. It was sourcing. Digging through hours of raw stream footage to find the 30 seconds worth clipping used to eat entire days.

He skipped that step. A caption-remover tool (https://t.co/kwPh47xcjg) strips captions off any clip pulled from the internet, leaving pre-trimmed footage ready to reuse. Drop in an AI voiceover, add captions, done.

One Ishowspeed clip made this way pulled in over $2,000. Time to produce it: under 30 minutes.

This is the actual shift happening in content right now. The moat used to be hours of manual labor — hunting footage, editing, voicing, captioning. AI tools are quietly deleting that moat, one repetitive task at a time.

Faceless, low-effort, high-output channels aren't a loophole anymore. They're a production model. And the people finding these tools first are the ones printing money while everyone else is still manually scrubbing captions frame by frame.

The tools aren't the secret. Knowing which bottleneck to remove is.

[Marc Edge @marcedgex]

$1,000,000. Zero experience. Five steps. That's the exact path someone laid out for going from nothing to a million using AI, and none of the steps involve "having a good idea."

Step one — you don't need an idea, you need a landing page. Tell Claude Code what service you want to sell (video editing, automation, whatever) and it names the company, builds the site, sets up a waitlist. Twenty minutes, you have a business.

Step two — it goes online, finds the exact people who'd buy this, pulls their contact info. No Sales Navigator subscription, no VA.

Step three — ask it to write a cold outbound script built for those specific people. Not a template. A script for that person.

Step four — you get on the call and sell. This part's still yours.

Step five is the one nobody says out loud: once you've sold it, ask Claude Code to build it. You don't need experience. You need the willingness to ask.

The bottleneck was never AI capability. It was people waiting to feel "qualified" before starting.

That excuse is gone now.

[Marc Edge @marcedgex]

https://t.co/rJafhXrpit

[Marc Edge @marcedgex]

A 15-year-old is 69 days from a C8 Corvette — and he just closed a $750 deal over a Chipotle lunch break.

He's not coding. He's not cold-calling for hours. He asked ChatGPT for a website prompt, pasted it straight into https://t.co/1lg6MF6jlE, and had a live site before his food got cold.

Then he showed up to the meeting and sold it.

This is day 7 of him publicly documenting a challenge: build an AI automation business from zero, hit enough revenue to buy that Corvette before the clock runs out.

Here's the part that should worry you if you're in web dev, no-code, or "technical" freelancing: the moat is gone. Prompt in, product out, deal closed — same day. A task that used to take a freelancer a week of back-and-forth now takes one lunch break.

He's not special because he can code. He's ahead because he moves faster than people twice his age who are still "researching the best approach."

The tools are free. The information is free. The only thing separating him from everyone scrolling past this post is that he actually shipped something today.

What's stopping you from testing this exact workflow this week?

[Marc Edge @marcedgex]

https://t.co/rJafhXrpit

[Marc Edge @marcedgex]

$1,000,000 in revenue. Three weeks after launch. Zero employees.

That's not a typo. Maor Shlomo built Base44 — an AI app-building platform — completely alone. No cofounder. No developers. No VC money.

He didn't write the frontend code. AI did. He just described what he wanted, and it appeared.

Six months later: Wix bought the company for $80 million.

400,000 users acquired without spending a dollar on marketing. All of this while two wars were happening around him in Israel — he reportedly signed the acquisition papers as missiles were flying.

Here's what should worry you: Shlomo isn't a coding prodigy who cracked some secret. He's proof the barrier just... disappeared. The gap between "I have an idea" and "I have a product" used to take a team, a runway, and years. Now it takes one person and the discipline to direct AI instead of doing the work by hand.

The tools he used are the same ones sitting on your laptop right now.

The only difference between you and the next $80M exit might be who actually opens them today.

What's stopping you from building the thing you keep talking about?

[Marc Edge @marcedgex]

1.73 meters tall, 75 kilograms, and armed with spinning kicks — meet China's new patrol cop.

The EngineAI T800 just started walking real beats in Shenzhen, standing shoulder to shoulder with SWAT officers in front of stunned crowds. This isn't a lab demo anymore. It's on the street, in a police vest, drawing phone cameras from toddlers to grandmothers.

The specs read like sci-fi: 29 degrees of freedom in the body, 7 in each hand, a top speed of 6.7 mph, and the ability to run, kick, and change direction as fast as a trained officer. Shenzhen already has traffic robots directing intersections and scanning for drunk drivers — this is the next step: humanoids doing the job a human would, in a human's shape.

China's embodied-intelligence industry is projected to hit $57 billion by 2030. Robots don't need days off, don't get tired on a 12-hour shift, and don't hesitate.

So when your local police force upgrades — will it be the badge, or the battery, doing the patrol?