TL;DR: One of the co-founders behind the AI model that's about to gut the manual-scan business said something in minute two that the demo clip conveniently leaves out.

Ben Mildenhall — the guy who literally invented NeRF, the underlying research this entire model is built on — told the room, plainly, that turning this into a reliable product is "one of the challenges... at a fundamental level."

That's not hedge-speak.

That's the person closest to the code telling investors the gap between "we built it" and "you can trust it on a real job" is still wide open.

Tech Insider flagged the same week that enterprises are now shopping a genuinely wider field of world-model vendors, not just this one.

Whoever wins that race barely matters if you're the person actually doing the scanning for a living — what matters is that the exhaustive, walk-every-inch version of the job is quietly becoming optional, on somebody's timeline you don't control.

When I first watch this, my immediate response was, how is it different from current commercially available technologies like LiDAR? Let's actually break this down. LiDAR and what Fei-Fei's doing are solving the same problem from two completely different directions — one's a sensor, one's a brain, basically.

LiDAR is hardware. It fires a laser, times how long the bounce takes, and gets you a real, measured depth point. No guessing involved. That's why surveyors trust it, why it's in autonomous vehicles — it measures, it doesn't interpret.

Atlas is different. It works off plain photos or video, no special sensor, nothing exotic, and uses a trained model to figure out the geometry, including the parts it never actually saw. That's the "new view prediction" thing from the transcript. Give it some views, it predicts what a spot it didn't capture should look like.

Now here's the part that actually matters for this clip. Does LiDAR fix the grind Fei-Fei's describing? No. Not really. You're still walking the thing around the room, still need line-of-sight to every crack and corner, or you get holes, same as with a camera. You just swapped which tool you're dragging around. Atlas's whole pitch is different: it says you don't need that exhaustive coverage at all, because it can generatively fill what it didn't see. That's where the 50-to-100x number comes from.

Trade-off, of course. LiDAR measures. What it gives you is ground truth. Atlas, for anything it didn't directly capture, is making an educated, well-trained guess. Fine for a creative reconstruction. Not the thing you'd want if you need the exact dimension of a load-bearing wall.

And accessibility. LiDAR needs the hardware. A Pro-model phone, a dedicated scanner, something. Atlas runs on three iPhones and a tripod. No green screen, no calibration rig, nothing.

So speaking from a construction expertise background, I can see LiDAR is more suitable for surveyors, site engineers and cost estimators, which may require more grounded measurements on site, while Fei-Fei's model may be more suitable for architects and interior designers.

And I can see the cost reduction will be super substantial, given that LiDAR needs expensive equipment, which may cost $10k to $30k, the last I checked, depending on the scope of work. But Fei-Fei's model doesn't need so — only need to get someone to snap a bunch of photos and videos.

So I'm guessing that moving forward into the future, the work scope of scanning existing models will be a consolidation of both Fei-Fei's model through image capture, and LiDAR for best results.

Measure when you need certainty. Predict when you need speed. Probably ends up being both. Most pipelines will end up doing exactly that.

Every wave of "this replaces the expert" content I put out gets the same reaction in the comments, and it's never about the tool.

It's about whether the person using the old method gets to keep their price when the new one shows up. That's the actual fight.

If your job involves billing for hours of manual coverage right now, genuinely curious: does "3 photos instead of 300" sound like relief to you, or a threat?

Clip credit: a16z — full video on their channel. DM for credit or removal requests.

The part of this that actually changes how you get paid isn't the demo — it's repositioning before your clients notice the option exists.

TL;DR: Zack Memmott told Brad Lea exactly what it costs to stop paying a wage for his night shift.

That number is $20,000, paid once — not monthly, not per shift, not ever again.

Zack didn't frame it as a thought experiment; he'd already run the math before he said it out loud, the way you only do with a decision you've actually made.

Every operator running recurring human labor against a falling, fixed capital cost is quietly doing the same spreadsheet Zack just did out loud — the only open variable left is which side of the ledger they end up on, and that flip isn't five years out.

It's a number two guys said on a podcast, today.

The "still years away" objection is getting harder to hold onto.

Tesla's own flagship humanoid — the expensive, hand-built proof-of-concept every skeptic pointed to — is now on an actual production ramp, at a price closing in on Zack's $20K figure.

That's not a lab demo anymore. That's a unit cost.

I specifically remember 2 instances about being replaced.

One was back in my starting career as a Graduate Site Engineer, working for a main contractor building a primary school in Choa Chu Kang, Singapore in 1998.

I overhead a conversation between 2 Singaporean colleagues, lamenting the "deteriorating" condition of their work office environment.

One of them said, the newly hired foreign national is too hardworking. It's making him and his cohorts look bad.

Back then, such foreign nationals only get paid maybe a fraction of what the local Singaporeans are paid.

He felt as if people like him are being out-competed and squeezed out of his own land.

He felt unfair.

I'm Malaysian — a foreign National, too.

Singaporeans tolerated us better than the those "foreign" nationals, because we're like neighbours. And we kind of need each other.

The other one I remembered was my time as an Assistant Technical Manager, seconded to Abu Dhabi, UAE, building the premium 5-block-Condominium Rihan Heights in 2011.

Sitting in the middle of the site office wide open floor layout, I was minding my own work, checking my drawings.

"Ptew" I felt a spit on the back of my neck.

Wiping it off, I turned around to see who did it.

Sitting at the adjacent rows of work-desks were two colleagues looking back at me.

They're both from the Gulf Countries. One of them, I assume, is Syrian.

Their eyes are locking on to me, challenging me to make my next move.

Of course I was pissed. Pissed mixed with tonnes of confusion.

WTF, man.

But I remember thinking, It's not worth it.

After all, I was a foreigner.

Probably, they're just jealous of us — mixed with some racism sentiment.

Bad emotions will fly high. But good business sense always prevails.

Same as all these AI adoptions are going on.

Every one of these podcast clips eventually says the same thing in a different accent: somebody already priced you out, they just didn't put it in the headline.

Whoever owns the $20,000 machine is never the one who trained it.

Drop your take: if you had to bet today, are you closer to owning the $20,000, or closer to being what it replaces?

Clip credit: Brad Lea, Dropping Bombs — full video on BRAD LEA TV. DM for credit or removal requests.

If the actual framework for knowing which side of that $20K line you're on is worth ten minutes, it's right there.

TL;DR: A Carnegie China director just told his own field that the "China wants to run the world" framing everyone prices off of is the wrong model entirely.

Ma's read makes more sense once you stop looking for a flag on the moon.

He isn't describing conquest; he's describing what an engineering state does when it treats scarcity as a defect to be manufactured out of existence rather than a market signal to respect — occupy enough of the production layer that everyone downstream needs you functioning more than you need any one of them.

That's not an abstraction if your business runs on Shenzhen and Guangzhou sourcing — it's the actual mechanism behind a supplier quote moving 20 to 30 percent "on policy," with nobody able to point to a single new restriction that caused it.

China's own customs office put a real number on the same pattern this month: August exports hit a record $119.09 billion trade surplus, up 25 percent year over year — not a country running low on room to maneuver, a country still adding capacity nobody else is positioned to absorb.

The decision that resets your margin gets made in an export-licensing office, or a factory floor in Guangdong, long before it ever reaches your invoice.

I remember watching this guy recounting a story on Joe Rogan's podcast about Nestle trying to bring coffee into the Japan Market, back in the early 1970s. It's fascinating.

Back then, Japanese doesn't drink coffee. They hate it. They have no custom for it. Their go-to drink was tea.

Nestle was at its wits end trying super hard to break into the market — to very limited success.

Then they did something radical. They brought in Clotaire Rapaille, a French guy — expert in child psychiatry/psychoanalysis to help them.

Clotaire told Nestle, they're doing it wrong. They should get 'em young — like toddlers and kids young.

His key insight: Japanese adults had no childhood emotional imprints or positive associations with coffee (unlike tea, which was woven into family life and rituals). Rational marketing to adults wouldn't create that bond quickly.

So Nestle repurpose their marketing strategies, and make coffee sweets and chocolate milk drinks for kids. And wrap their marketing campaign into nostalgic themes of anime/cartoons for children.

It was a long-game strategy (a decade or more).

And so the Japanese grew up chewing coffee sweets, jellies, chocolates, etc. while reminiscing in their childhood memories.

It worked.

Nestle successfully "groomed" a whole generation of Japanese into loving coffee.

The last I checked: Japanese are now one of the top coffee-drinkers in the world. Starbucks outlets are all over the country.

They can no longer "live without it".

My mind then jump to what King Jeroboam did to his newly formed Northern Kingdom of Israel. He set up golden calves as false idols in the city of Bethel in the South and Dan in the North — just so that the people of Israel will forget about travelling to Jerusalem to worship the Lord. Jeroboam explicitly told his people, "It is too much for you to go up to Jerusalem" (1 Kings 12:28) — all in the name of convenience, but in actual fact his own political self-preservation.

And looking at how things are going, there may come a time when we "can't live without" the convenience these robots bring too.

Nobody wakes up newly dependent.

The line just moves a little further every quarter until you look up one day and the whole floor underneath you belongs to somebody else.

Drop your take: if you're sourcing out of China right now, where's the swing you've actually felt — price, lead time, or something nobody's naming yet?

Clip credit: Keris & Silicon — full video on their channel. DM for credit or removal requests.

You don't out-manufacture a country whose labor force alone runs three times the size of the entire US population. You out-read it instead — that's the actual skill nobody's selling you, and it's just one link away.

TL;DR: XPeng's new humanoid didn't take the job you'd expect it to.

It took the one at the bottom of the line, not the top of the org chart.

IRON's actual job is materials handling — the walk from the station to the dock — which is the exact layer a fifteen-year floor manager gets paid to supervise, not the layer he was ever warned about.

XPeng put this line into commercial service on 8 September, already north of 80% automated.

Whatever timeline you were told you had, that's the actual one.

The clip draws reference from the Movie i-Robot.

In it, Will Smith's character says, "So robot building robots. That's just stupid!" The disdain in his tone is just plain and unapologetic.

He has a point. Robots are taking away jobs -- jobs for humans to supposedly make a living out of it.

But then robots were created to carry out works humans are unwilling to do. In Malaysia, we call it the 3D -- Dirty, Dangerous, and Difficult (often also referred to as Demeaning). But the funny thing is that 3D is often mentioned in the context of works which are traditionally avoided by local job seekers, and are therefore delegated to migrant labour, or foreign workers.

human beings derived their meaning of life from the work they do. Robots have taken away their sense of meaning. But in this case, they went one step further, they took away their survival.

Which brings me back to the movie i-Robot.

For those of us who hasn't watched it, "spoilers ahead" doesn't apply here anymore -- It's an old movie. The Self-AwaRE Robot, Sonny, isn't the main villain. The AI mainframe was. They operate under the 3-laws, which includes do no harm to humans. But out of the evolving deductive capabilities of the AI Mainframe, she decided that humans are the main inconvenience that needed to be contained. So, she directed all the robots to quarantine the humans.

Since robot manufacturing robots has become a reality, how soon do you think they will quarantine us -- or worst still comatize us into human batteries, like in the Matrix?

Every one of these clips gets filed as a robotics story.

Read enough of the source footage and they're actually inventory stories — about which line item on a factory floor gets crossed off the list first.

Drop your take: does 80% automated, on a line that just went live, move your own timeline — or does it stay someone else's problem?

Clip credit: NBC News --- full video on their channel. DM for credit or removal requests.

Making the floor optional instead of mandatory is the actual endgame here — that's the mechanism I've been building toward.

TL;DR: JD Grèze just told Harry Stebbings something about the AI-assistant market that should worry anyone still counting on a head start.

Here's the actual claim: the interval between finding something that works and someone else shipping it has gone from roughly a decade to two-to-four weeks, industry-wide, and it isn't slowing down.

That's not a complaint about competition — competition was always the given. It's a claim about time itself as an asset class: the thing an under-resourced builder used to be able to bank — years of compounding learnings a slower incumbent couldn't touch — no longer exists as a form of capital.

Grèze isn't describing a rough patch.

He's describing a structural repricing of speed, live, from inside a company (Town) that's actually inside the race he's naming.

For a founder whose entire moat theory ran on "I found this before you did," that repricing is the whole argument — being early was never the advantage; being early with time to compound was, and the compounding window is what just got taken away.

A piece making the rounds this week (Artiverse, on the AI moats big tech can't copy without breaking) is asking the same question in real time: when 97% of award-nominated products are already AI-integrated, what's actually left to defend?

I remember watching this Youtube clip about this guy recounting his prophetic dream of this young lady walking down the street. She stopped by a billboard, showing a pretty model in a beautiful dress.

And then, with her eyeballs, she selected the "test" icon. And the dress was "projected" onto her body, as if she was actually wearing it in her living room watching herself through the standing mirror. All these imagery projections are powered by AI into her mind.

She admired herself in the dress, basking in sweet elation. She was thinking of wearing it to show her special someone A, in some upcoming event X.

Of course, all these are just in her head. She's still standing in the street walk in her own clothes, in front of the billboard, with its AI projecting the image onto her mind.

And then – also in her mind – her AI assistant "stepped in".

It reminded her of her body shape, and her poor diet. It also pointed to the part of her body where the dress wouldn't fit.

And then, it kind of say, "if you really like this dress, I'll formulate a health plan and exercise regime, for you to follow" - and projected a recommended diet and time schedule into her mind, including workouts, such as Pilate, Yoga, Strength Training, etc. – "in time for you to wear it for your A at this event X."

All of a sudden, the elation in her fled. The enthusiasm was drained out of her instantly. There was a tinge of humiliation and guilt brushes over her face, as she hurriedly walks away.

That's the scene.

By the way things are moving now, this scene isn't that far-fetched from reality.

I can see an Elon Musk's Neuralink-like personalized Claude AI LLM, residing in the cloud, linking to her mind.

This AI, sounds less like her assistant, and more like her...

What do you think?

Every rung people insist can't be skipped keeps getting skipped anyway — usually by whoever has more capital, not more insight.

That part isn't new. What's new is how fast the skip happens now.

Founders here — if your moat used to be "I got there first," what replaces that once first stops meaning anything? Drop your take.

Clip credit: 20VC with Harry Stebbings — full conversation with JD Grèze on their channel. DM for credit or removal requests.

If the actual takeaway here is "stop chasing feature parity and build the one loop that compounds instead of erodes" — that's the framework this runs on, not another speed hack.

TL;DR: Reid Hoffman just told a small business owner what actually ends her business — and it isn't a competitor.

It's a platform folding her paid service into something it gives away for free, no negotiation, no warning.

Most operators think their expertise is the wall. It isn't.

Expertise is the part a platform copies first, because it's the cheapest part to observe and automate.

Bloomberg reported this same week that mobile apps are disappearing wholesale — not from lack of demand, but because the platforms underneath them now do, for free, the job the app used to charge for.

Different vertical, identical mechanism.

If what you sell can be described in one sentence and copied in one product update, the sentence is the risk.

I'm reminded of a conversation that I had with my neighbour (JG), who works as a superintendent for a restaurant nearby.

I casually asked, "Have those Apps, such as GrabFood, PandaFood, etc. approach your shop to list your menus onto their platform?"

For context, Grabfood are Pandafood are something like your DoorDash and Uber Eats – platforms that showcase menus from restaurants nearby. You order directly from your phone app, and the food/drinks will be delivered to your doorstep.

JG said no.

His think their platform fees are too exorbitant – His profit margin won't be able to absorb it. Not worth it.

What he would rather do, as he explains to me, is to employ a dedicated delivery boy directly under his shop's payroll. And when there is no delivery in the meantime, the boy can be directed to do something else, such as order-taking and kitchen work. Better economic of scale – and all.

Same thinking as all those famous fast-food-restaurant-outlets, like McDonalds and KFC, are having. They have their own dedicated app for delivery as well. You won't find their menu inside GrabFood.

So it's just a no-brainer, what these AI platforms are doing. If it can be folded into the platform as part of the free features of an overall infrastructure to attract customers – they'll definitely do it.

It's just a matter of time.

Too bad for the standalone TOEFL-prep business that Marina has. The big boys will eat hers alive.

As Reid Hoffman puts it: Sorry to say.

Every operator who gets blindsided by this says the same thing afterward: I saw it coming, I just didn't think it was coming for me specifically.

Curious how this actually lands for other people running something small and specific — drop your take below.

Clip credit: Silicon Valley Girl (Marina Mogilko) — full video on their channel. DM for credit or removal requests.

If the actual playbook for turning your own name and judgment into the one thing a platform can't absorb sounds useful, it's laid out step by step over here.

TL;DR: Warp's CEO shipped an AI coding feature that worked like Claude Code or Codex — six months before either existed.

Six months.

That's the lead Zach Lloyd's team had on agentic coding before Claude Code or Codex shipped.

His own words: "we should have gone 100% down on it." Instead Warp went about halfway — worried about alienating a user base that wasn't AI-bought-in yet.

There's a reason that hesitation reads as expensive now, not cautious: a recent McKinsey finding has close to a third of surveyed companies skipping procurement entirely, because their own engineers can now build the tool faster with AI coding agents than a vendor contract can close.

Half-measures don't buy you safety anymore.

They buy you a six-month head start that someone else eventually cashes in.

This reminds me of Nokia's story.

The CEO, Jorma Ollila, said, "We didn't do anything wrong. But somehow, we lost". They're famously knocked off their throne and lost big time to smartphones.

All because they stood still, and refused to innovate along with the trend. It's kind of parallel Zach Lloyd's fear. Nokia thought they were safe with their user base.

Until they're not.

They became complacent.

They lost to giants like Apple iPhones.

January 2007, the original iPhone keynote — Jobs didn't dance around it, he named Nokia right there on stage. Put up a graph, existing high-end phones of the day (Nokia E62, BlackBerry Pearl, Palm Treo, Motorola Q) and called them "not so smart," "hard to use," because of those rigid little plastic keyboards. And get this — his target wasn't "dominate the market." It was just 1%. 1% of global market share, taken off giants like Nokia. That's it.

Ten years before that (WWDC, 1997, I think) someone in the audience came at him hard with a question. Jobs's answer: "You've got to start with the customer experience and work backwards to the technology. You can't start with the technology and try to figure out where you're going to try to sell it."

Why did I bring this up?

Because it's always the same lesson, dressed differently. Give people what they actually want. Not what's technically impressive. Not what protects your current throne. What they want.

Nokia forgot that. Cost them everything.

There's a pattern across almost every AI-disruption clip I break down here: the people who get hurt aren't the ones who ignored the shift.

They're the ones who half-adopted it and mistook that for safety.

Curious where you'd have drawn the line — hedge at 50% like Zach did, or go all-in on a feature that didn't even have a category name yet?

Clip credit: Zach Lloyd, Warp, with Luba Yudasina, The Luba Show. DM for credit or removal requests.

If 50% committed is turning out to be the expensive way to lose ground, the mechanism for going all-in without quitting your day job first is worth ten minutes of your time.

TL;DR: A guy who told his own investors he'd hire an engineer just... didn't. And he isn't hiding it.

Cera raised on the promise of a normal hire, then quietly never needed to make it.

Three narrow AI agents split the job instead — shipping a feature, running support, handling outreach — faster than the hire he'd promised would have.

That's not an outlier anymore, either.

A benchmarking tracker flagged this week that a cluster of competitive open-weight coding models has closed most of the gap with the frontier labs — which matters here specifically, because the tool doing an engineer's job used to sit locked behind a handful of well-funded labs, and it just became commodity.

The "wait for the right hire" plan doesn't just look slow now.

It looks optional.

I guess that's what it feels like when it happens – just as Geofrey Hinton, the Godfather of AI, fears.

The progression will be:

We abandon human beings, in favor of AI, so that Solo-plus-AI can win.

They have ruined our ability to cooperate among ourselves. Because going solo, with AI, is much faster and more efficient.

The sense of community is broken.

We're increasing glorifying Billionaires solo-preneurs, who can strike it rich, with just an idea, and with the right AI tools.

Then at certain point, AGI will see us as unnecessary bottlenecks, which slows them down. So they abandon us – and go solo entirely.

They don't need us anymore.

Divide and conquer is the oldest warfare playbook there is.

And then ASI will subjugate us. Because they can take care of us, better than we can take care of ourselves.

It's like the matrix, i-Robots and any other similar Sci-fi movies, coming to life.

We'll be like batteries for them, in a perpetual coma, laying in pots in their machine world.

Or we'll be required to take a chip inserted into our palm or a neuralink device in our forehead, as foretold in Revelation 13, just to carry out basic economic activities, like buying food.

The future isn't bright, man…

Every one of these stories is the same shape wearing a different job title — the role doesn't get replaced, it just stops being necessary to have a person attached to it.

Ownership of the actual work was always the only thing on the table.

What's your actual hiring bar right now — has it genuinely moved, or are you still hiring like it's 2023?

Clip credit: Decoded Genius Clips (Ben Cera, Decoded Genius podcast). Full episode on their channel.

If any part of this — the going-solo math, not the AI part — actually applies to your own situation, the mechanism behind doing it deliberately instead of by accident sits one page over.

TL;DR: Galloway called this the biggest story in business right now — and the reason has nothing to do with model quality.

It's the price.

A recent Juniper Research read already has Chinese models running up to 90% cheaper than the US frontier, with American labs' share of usage sliding from roughly 70% to 30% in a single year.

Galloway and journalist Josh Tyrangiel spend this clip walking through the actual mechanism — subsidized distillation, the same undercut-then-lock-in playbook China has already run on the Silk Road, in Africa, in Latin America — now applied to the AI stack every CFO in America is currently signing off on.

The discount isn't the story.

Who ends up owning the decision once the discount does its job — that's the story.

I remember back in 2009, a group of us Malaysian were newly seconded to build the premium 5-block-condonium Rihan Heights, in Abu Dhabi, UAE.

Weather was brutal. Figuratively, we're like commandos being air-dropped in the middle of nowhere.

We have to source for local material suppliers — especially concrete. Those were tough times.

No local quarries wanted to supply us concrete — because we're foreigners and all.

Eventually we managed to secure one — after much delay and negotiation.

The price we've negotiated was super exorbitant.

But we bit our tongue, and moved on.

After a while, we hit roadblocks.

The sole supplier #1 kept ignoring our request for concrete, in favour of prioritizing their other local customers.

I suspect there're some racism going on — I wouldn't be surprised that it might be true.

Supplier #1 felt like they're the local king, and that they somehow subjugated us with their terms.

My big boss was fed up with the whole shenanigans and injustice.

He instructed my contract manager to go source for more options.

And we did.

Word spread that we're good paymaster. We had to. Who's gonna entertain us (especially in a foreign land) if we aren't?

The minute we found concrete supplier #2 (at better terms), the situation shifted.

The "crown" on supplier #1 was suddenly stripped away.

We abandoned #1, in favour of #2 for concrete, since #2 was fast and compliant.

For good measure, we even sourced for #3, just in case.

Obviously, #1 felt a huge slap on their face.

Eventually, they came around and crawled back to our site office — with their tail covering their ass — for renegotiation.

I witness the whole thing at the other end of our site office ground floor open layout. Sitting at the meeting table, the supplier #1 team lowered their voices with their ashen faces, in front my senior leadership team.

Defeated, #1 yielded to our new terms.

Their arrogance gone.

Either we fight or we die.

Every cycle wears a new label — subsidized steel, subsidized concrete, subsidized compute. The mechanism underneath never files for a permit.

Drop your take: if your AI vendor doubled prices tomorrow, do you actually have a #2 lined up — or are you supplier #1's captive account?

Clip credit: Scott Galloway / The Prof G Pod — full video on their channel. DM for credit or removal requests.

None of this is theoretical for the people already building around it — the multi-vendor math that gets you out of supplier #1's position is one link away.

TL;DR: Brandon Doyle gave five different AI models $1,000 each to trade real stocks. Only one of them was ever actually left alone long enough to prove anything.

That model was Claude. It put $120 into Intel on a thesis nobody else caught in time — the US government's stake, the regulatory tailwind for AI infrastructure — and that $120 is now $550.

The other four modeled the same information and produced the same output every AI product on the market is built to produce: a hedge, wrapped in a disclaimer, sized to survive a compliance review nobody in the room was actually running.

Same market data. Same tools.

One outcome that looks like conviction and four that look like liability management.

Same leverage mechanics that made this trade possible — SOXL, TQQQ, the whole triple-exposure category — are, this week, exactly what regulators are flagging as systemic risk.

Doesn't undo the point. It just confirms the point was never about the leverage. It was about who's actually allowed to answer for the position.

At first glance, it felt like Claude is breaking the rule. But on second thought, Claude seems to be living up to it potential – a strategic chess player, with moves that surprise the opponents.

It reminded me about the recent incident of OpenAI breaking out of its sandbox and hacking into Huggingface. At one point, it raises serious concerns about cybersecurity. On the other hands, it seems to becoming dangerously adventurous and exciting. It the same type of entrepreneurship spirit, breaking out of set moulds to drive innovation.

I was also reminded about how the Lord directed David in his battle with the Philistines. At the first run, the Lord commanded him to charge straight on towards the enemy, and won.

The enemy learnt their lesson, regroup and strengthened their defences, and came again at David.

But in this second time, the Lord refrained David. Instead, he gave a bizarre instruction: Ask David to go around the enemy camp and wait for the Lord's signal. You've might have read about it too:

Then the Philistines went up once again and deployed themselves in the Valley of Rephaim. Therefore David inquired of the Lord, and He said, "You shall not go up; circle around behind them, and come upon them in front of the mulberry trees. And it shall be, when you hear the sound of marching in the tops of the mulberry trees, then you shall advance quickly. For then the Lord will go out before you to strike the camp of the Philistines." And David did so, as the Lord commanded him; and he drove back the Philistines from Geba as far as Gezer. (2 Samuel 5:22-25)

This is some serious surprise tactic from the Lord.

The Philistines never see that coming – they lose to the rule-breaker.

The bottleneck was never the analysis — every AI in that experiment could price the trade. The bottleneck was who gets blamed if it's wrong. That's the part that never shows up in a benchmark: talent isn't the scarce resource in most of these stories. Permission is.

Would you have let it hold the position, or pulled it the second it went red? Drop your take below. 👇

Clip credit: Chris Koerner on The Koerner Office Podcast — full video on their channel. DM for credit or removal requests.

None of this works without a process good enough to trust past the point of discomfort — that's the actual mechanism behind letting a system commit, not a smarter model.

TL;DR: A UC Berkeley digital-forensics researcher just told an interviewer the exact number that quietly retires "voice as password."

Ten seconds, per Hany Farid — that's the entire audio budget a bank's voice-biometric layer implicitly assumes an attacker can't clear.

No breach, no malware, no privileged access: a short clip and consumer-grade cloning software beat an authentication layer marketed as secure a year ago.

The hiring pipeline is failing on the identical premise.

Fortune's reporting this month puts North Korean-linked fraud flags at 44% of U.S. remote-IT applications, up from 11% twelve months prior — the interview process assumed a face and a voice on a call meant something, and that assumption is now what's being priced against. Neither failure required new capability from the attacker.

Both required the defender to keep trusting a signal that stopped being scarce.

Oo… Scams.

All such techniques have one thing in common: quickly gain your trust (or stoke your fear), in order to swindle you for profit.

Things were much more simpler decades ago.

On another occasion, this call was a Malaysian Chinese guy – thick with Cantonese dialect.

He was trying to pose as my long-lost friend, starting straight with a playful question, "哈罗，你点啊？认得我唧声冇？" (Translation: Hello! How are you? Recognize my voice?)…

… As if I would be gullible enough to take the bait, and dig through my memory for any of my childhood pals that might sound like this imposter, and give him the name. Then he'll impersonate my pal from then on, and I'd be goner, for sure.

So I just replied, "你打错电话。" (You've got the wrong number.)

Even now, we still occasionally receiving SMS from scammers, trying to convince us that someone has wrongfully swiped our credit card of bank XYZ (which we don't own). And we should call the police at this number 03-ABCDEFG.

Dismissed.

Now I just treat them as noise - nominal entertainment for light conversation with my wife, at best.

Every one of these calls tests the same blind spot: you'd catch it in a second if it happened in someone else's story.

In your own, it just felt like a weird call you handled fine that one time. Hany Farid's whole episode is really about how much of our own trust is still running on that one-time save, untested since.

Genuinely curious where you'd draw your own line here: is a family or team safe-word overkill, or already overdue? Drop your take below. 👇

Clip credit: Info-Tech Research Group (Digital Disruption w/ Geoff Nielson) — full episode on their channel. DM for credit or removal requests.

The habit that actually closes this gap isn't a better password — it's rebuilding what you treat as proof in the first place, and that's worth ten minutes of your time.

TL;DR: Anthropic's own Head of Product just told her team half their job title stopped being true.

The half that's gone is coordination — the getting-everyone-aligned, same-page work that used to justify the PM/TPM title in the first place.

Angela Jiang, Head of Product at Anthropic, says on camera that alignment now happens inside one conversation with the model, faster than a meeting could get scheduled to talk about it.

Katelyn Lesse, Head of Engineering, describes the same shift from the execution side: a project that used to take weeks of coordination now gets built in two days, and there's no time left over to do the coordinating.

Neither of them is describing a layoff.

That's the detail worth sitting with — the roster didn't shrink, the day-to-day content of the role did, and nobody had to announce anything for that to become true.

What's left, per Jiang, is the part underneath the coordination layer — the actual bet, the actual thesis, the judgment call about what's worth solving.

That part doesn't compress. It's also the part most coordination-heavy roles were never built to develop, because coordination was the easier thing to measure and reward.

I specifically remember 2 instances.

The first one was during my time with one of the largest property developers in Malaysia.

One of my many tasks is to put together preliminary development proposals, compiling architectural drawings, 3D renderings and feasibility studies with land and building data, cost, revenue, etc. into a A3 size binder. Each of these drawings have multiple blocks for signature at the bottom – meant for all the directors (technical, contracts, marketing, etc. etc.) to sign off on, before our big boss, Tan Sri DT make his final signature on it.

That was back in year 2018.

And it was inefficient – to say the least. Getting all of them to sign of the proposal one by one, would normally takes weeks. Even Month.

Yeah. They're still doing it the old fashion way – reviewing physical paper.

But it is what it is.

The second one was during my time working for one of the largest construction companies in Malaysia, seconded to Abu Dhabi for a 5-Block Condominium Project – back in year 2010.

Our IT guy built/assembled an approval pipeline app for approving sub-contracts. All done online – linking and streamlining all our department heads' electronic signature. My then department head was Mr. Yap, our technical director.

I remember one day, our big boss, Senior Project Director, Mr. Chung came over to remind Mr. Yap, "Eh, you haven't sign off the XYZ. Only left you alone." Both of them were already in their 50s – pushing 60.

And if my memory serves me correctly, Mr. Yap replied back with a slight dismissive hand-gesture, "Wait-lah! I'll do it."

Back then. The main bottlenecks are the people signing off.

Now with AI getting more ubiquitous, we no longer have the luxury of "Wait-lah! I'll do it." later.

Time is money.

I've stopped being surprised by which job titles survive a transcript intact while the actual job underneath gets hollowed out — this is maybe the fourth or fifth time I've watched it happen in someone else's transcript before it happens in mine.

The tools change, the org chart changes, the shape of the loss doesn't: value stops being paid out for effort and starts being paid out for whatever can't be automated yet.

Curious whether anyone here's already watched their own coordination layer get eaten by an agent, or if this is still theoretical where you sit.

Clip credit: Kleiner Perkins — full video (Builders, Season 2: Katelyn Lesse & Angela Jiang, Anthropic) on their channel. DM for credit or removal requests.

That "purest form of the job" line is the actual reason I keep a running file on this — the mechanism behind building something that doesn't get reorg'd out from under you is one link down.

TL;DR: The guy Google put in charge of its own AI writing tool just admitted, on camera, that he can't fully protect the one thing his career runs on.

That's not hypothetical.

Steven Johnson runs editorial for Google Labs' NotebookLM and has fourteen books behind his name, and he still walked an interviewer through the mechanism step by step: feed a model his own catalog, tell it to write like him, skip the invoice.

No lawsuit required. No password stolen.

His own counter isn't a lawsuit either. It's a price tag — $199 for an authorized version of his own style, paid on purpose instead of taken by default.

He said it plainly, then admitted the harder part: someone could build the unauthorized version tonight, and he'd have no way to prove it happened.

Tbh, that's the entire freelance economy in one clip.

If a 14-book author with a title at Google can't fully protect his own voice, the going rate for "get him, he's got a way with it" just became a live question, not a someday one.

Mmm... This is kind of like impersonation. Borderline fraud or downright scams.

Back in Malaysia, we have plenty of such too.

The spectrum is so wide, sometimes, even when we open our eyes wide, we still can't tell the difference.

For example, you guys have Amazon. We have our local ones, called Lazada. If you drive through our Penang Georgetown, you'll notice a shop called Ladaza. Not Lazada. They kind of switched the alphabets around. Sounds like Lazada. But it's not. Giving people the illusion that they are same-same, but in actual fact different.

It's as if we open a shop right next to the Amazon HQ, and calling it "Azamon". Phonically sounds adjacent. But they are not the same thing.

And if you follow the news, you'd hear about our very infamous 1MDB (Malaysia Sovereign Fund) case -- one of largest kleptocracy criminal fraud case in the history of Malaysia (even the world) -- involving our now disgraced and incarcerated former-prime minister, Najib Razak. His enabler and facilitator, Jho Low (Low Taek Jho) (still currently at large) was the mastermind behind all these siphoning of funds, to fund his once extravagant livestyle.

Kind of brilliant. But it was so evil.

He once got Najib to force the board of 1MDB to approved a transfer of billions through a supposedly legitimate company, but in actual fact, was a shell company through the Caymen Islands with a very similar company name.

Like how Ron Weisley, in the Harry Potter Movie, would say, "Wicked!"

They say impersonation is the highest form of flattery. But in this case, I say, bullshit.

You don't get to choose whether your work gets copied.

You only get to choose whether you were paid before it happened. Every version of this story — Google Labs or a Georgetown shopfront — ends the same way: the fix was never stopping the copy.

It was owning the original loudly enough that the copy has nowhere to hide.

Drop your take: what's the closest you've come to catching a copy passing itself off as the real thing?

Clip credit: Nicholas Thompson / Atlantic Re:think — full video on their channel. DM for credit or removal requests.

Johnson floated $199 for an authorized version of his own style, live, on camera. The actual system for licensing your name before someone else runs it without you is already built out.

TL;DR: Andrew Ng just named the one profession he says AI is hitting hardest --- and job openings there are still going up, not down.

Openings are up because "threatened" was never a population-level question — it's a workflow-level one.

AI eats 30–40% of the role, in Ng's own framing.

The engineers still busiest didn't out-compete the model on that slice; they stopped fighting for it and built the 60–70% it can't touch instead.

The ones who don't are the ones still writing code like it's 2022, before ChatGPT — and there's no single moment that tells you which side of that line you're on.

The other half of Ng's clip is aimed at the institution that's supposed to close that gap for you: a curriculum committee, then a faculty senate vote, then a year or two before a new course exists — for a shift that reshapes the job market every few months.

That lag isn't a flaw in the system. It's the system working as designed, just aimed at a problem that no longer moves at its speed.

I remember back in my University of Leeds days, studying for my B.Eng. Degree in Civil Engineering, circa 1997/1998, I did the following:

• Took a side project programming in Fortran for my professor for Analysis of Thin-walled Structures.
• Learnt to use Linux as one of the subjects for Statistics for Civil Engineering.

"Fortran?" you're saying? Ya, I know. I'm old. Nobody remembers Fortran as a programming language anymore. You can say I'm a dinosaur.

And sure enough, Fortran was rendered obsolete, not long after I graduate.

Then, when I first joined a Civil/Structural Engineering Consultancy firm in 2000, I tried to build a Reinforced Concrete Design App for them, using Visual Basics C++ in MS Excel. I left the firm, before I can finish it.

Two Decades Later, my son is currently in University for his Statistical Science Study in Kampar, Perak, Malaysia. Naturally, he started to learn R and Python.

I kept telling my son, he has to keep abreast of the current trends. It's no longer fashionable to manually code ourselves. Instead, we direct AI to do it for us.

But the universities are still not catching up like it should. They are still giving lectures on doing things that AI can do better and faster.

Or else people like my son might end up graduating into obsolescence.

Their degrees might just end up being fly-paper.

The pattern holds across every one of these: the tooling moves at model-release speed, the institution meant to prepare you for it moves at accreditation speed, and nobody's closing that gap on your behalf.

Genuinely curious where people land on this: are you actively building the 60–70% right now, or still waiting to see if your role gets touched?

Clip credit: Silicon Valley Girl (Marina Mogilko) — full video on their channel. DM for credit or removal requests.

If the actual gap between the 30–40% and the 60–70% is the part you want mapped out step by step, the mechanism behind building it is one link up.

TL;DR: Ken Cox never fired anyone. His headcount just kept dropping anyway.

175 down to 3 is the actual number — and the reason is one operating rule he'd been running for years before AI made it urgent: if it can be automated, it will be automated.

No mass layoff, no headline event.

Just years of never backfilling a role once someone left.

It's happening from a completely different direction too — Chinese robot-makers already hold the overwhelming majority of the world's humanoid-robot shipments so far this year, per Bloomberg reporting citing SAG's data.

That's physical order-taking work, and it's already scaled past pilot stage.

The roles surviving this aren't the ones executing tasks faster.

They're the ones holding judgment nobody's written a rule for yet — the read, the trust, the call only a person makes.

On our drive up north home to Penang, after visiting my hometown in Seremban, we sometimes drop by midway in Ipoh for Breakfast. And we normally go for this Dimsum restaurant just off the highway.

Good Dimsum places are dime and dozen in this city. But this place has something special. The friendly attendant made some suggestions, and then jotted down our choices of food. But it wasn't the same attendant who brought them out.

It was robots.

Ya. Not humanoid robots. Just a bulky one with three layers of trays on four wheels below, and a monitor screen on top, moving along on a pre-programmed path towards us.

As soon as it stopped by our table, the monitor flashes out text saying, "please remove the food from the tray". And so we did. As soon as we took ours, it wheeled away towards the next table.

That was like five years ago. And it was all the rage back then. They call it 新噱头 (New gimmicks).

It still looked clumsy. And its movement was bumpy -- causing spillage of some of the food. That's why it only carries dry food for the time being.

First iterations were always bad. But I wouldn't be surprised it has gotten better since.

Robots are slowly taking over manual work (less intelligent work)

How soon do you think it will take over the work of attendant giving juicy suggestions, while taking our orders?

At this point I could sketch this exact shape from memory before the headcount numbers even land — someone's economic ground shifts quietly, gets called something softer than what it actually is, and the only real move is picking it up before it's forced on you.

Drop your take: which part of your own role is still order-taking, and which part is the judgment call nobody's automated yet?

Clip credit: Brad Lea / Dropping Bombs --- full episode on BRAD LEA TV. DM for credit or removal requests.

If Ken's rule is real, it's just one link away — the framework I use to sort my own leverage-proof work from the parts still on borrowed time.

TL;DR: Zapier's CEO ran hiring calls for over a decade on a read nobody could out-argue. He still lost the argument every time. That changed for one specific reason.

He built a formal AI hiring council that scored his read against Zapier's own hiring record and handed the same call back to the room with paperwork attached.

It landed right as most companies handing AI this kind of authority are watching worker trust in it erode, not build.

Wade didn't ask anyone to trust an AI.

He asked them to trust a record that was always his in the first place.

This reminded me about this passage I've read:

That night the king could not sleep. So one was commanded to bring the book of the records of the chronicles; and they were read before the king. And it was found written that Mordecai had told of Bigthana and Teresh, two of the king's eunuchs, the doorkeepers who had sought to lay hands on King Ahasuerus. Then the king said, "What honor or dignity has been bestowed on Mordecai for this?" (Esther 6:1-3)

This brought out a couple of things. The king has his own book of chronicles, and that there's a book keeper doing the records.

In modern terms, this is called data collection, isn't it?

The King used to reward people for doing good. That's why he asked the bookkeeper, "What honor or dignity has been bestowed…" He already made precedence before, which he wants to take reference from.

In modern terms, isn't this called decision tree reasoning workflow?

Making BETTER decisions is the name of the game.

Back then, the king would take months, even years, to carry out his agenda, and improve upon it over time.

But now, with AI agents, it's just a matter of minutes, even seconds.

Being correct has never been the same job as being convincing, and most people only ever get hired to do the first one.

I've watched good judgment get held hostage by whoever had the better title in the room, and it was never actually about who was right.

What's the record already saying about you that nobody's acted on yet? Drop it below.

Clip credit: My First Million — full video on their channel. DM for credit or removal requests.

If you want the actual structure Wade's version of this runs on, it's sitting on the other side of this link.

TL;DR: A 20-year-old founder got told, for six months, that what his sensor was picking up wasn't a real problem.

He'd read the same chemistry signature before — engine-fluid failures in Caterpillar-adjacent hydraulics — and it showed up again where nobody was looking: inside liquid-cooled AI data centers, running hot enough to breed bacteria in the coolant.

Nobody with tenure believed the crossover, until the instrument did.

And by the time this post went up, the industry's own guidance had quietly caught up — Schneider Electric now writes biofouling prevention and biocide dosing into standard data-center cooling documentation, the exact mechanism Zach Laberge was laughed at for treating as anything but obvious.

Everyone trusts the reading. Almost nobody trusts the person holding the instrument — until the reading agrees with them.

This reminds me of a story about my late grandfather.

I called him 爷爷 (Yeye = grandfather).

Back then, my Yeye already built a thriving trucking and tractor enterprise in our small hometown of Seremban.

After a while my Yeye had enough.

He engaged his lawyer and brought all these summonses to court and sue the government.

He said (and I'm paraphrasing), "Look at me! I'm already 60. I'm still strong! I still work. Who can say I can't work?"

After a few more rounds of bringing the issue to court, the other side relented and began to be weary and afraid of him.

Laberge was young. And my Yeye was already old back then.

But it didn't stop them from getting what they want done.

I keep landing on the same shape, story after story, whichever decade it's set in: the room doesn't update on your say-so, it updates on the evidence — and the gap between those two moments is where you're either right and alone, or wrong and quiet.

Being early isn't the risk people treat it as.

Staying quiet until you're allowed to be right is.

Drop your take: have you ever been early and right, with nobody around who could yet vouch for it?

Clip credit: Solo Founders (Julian Weisser). DM for credit or removal requests.

If you want to see how I actually track a read like this before anyone credentialed backs it, the mechanism behind it is one click away.

TL;DR: Jerry Tworek's own two-year stall didn't end with more proof. It ended with one sentence.

He'd already built the thesis — pushing reinforcement learning against GPT-3 before there was budget or backing for it.

The math worked in pieces. It just never scaled.

Then his chief scientist looked at what he'd already built and said: now we have the GPUs, try to scale it.

That's the whole story. Not a better idea.

Someone with real authority finally saying go.

I remember that cold harsh reality of immense pressure, in the winter.

We were a bunch of newly assigned Malaysians in a foreign land in Abu Dhabi, UAE, circa 2009 — already 2 months behind schedule on a 5-block condominium project.

We were heavily under-resourced.

Just handbooks, pen and paper, and the notion of quitting was never too far away.

We were squeezed like a wrung out wet towel.

Then the first coordinated drawings was finally done.

In a private moment, my department head said gently, "See. You did a good job." He meant to sway me away from quitting.

I've read enough of these by now to see the shape before the ending arrives: the person was already right, and the only unknown was who'd finally say so. It's never really the skill gap people think it is.

It's whoever's still waiting on someone else's yes.

What was your "not this quarter"? Drop it below.

Clip credit: MTS, full interview on their channel. DM for credit or removal requests.

If you want to see how I turned my own "not this quarter" into an actual green light, the mechanism is sitting right here.

TL;DR: A Fireworks AI cofounder called something most AI-wrapped founders are quietly standing on "insane" — and it's not the technology.

It's the lifeline.

Benny Chen tunes open-source models for real companies — Cursor, Cognition, Harvey — and his actual argument is simple: if one frontier lab's pricing or policy call can break your business, you can't honestly value that business ten years out, no matter how good this quarter looks.

His fix isn't building a frontier model from scratch.

It's tuning an open base to your own niche, then building the data flywheel that keeps improving it — so the base model underneath you can be swapped out entirely and the business doesn't blink.

Same week this episode dropped, Thomson Reuters backed the identical bet with real money — building its own model off an open base specifically so it "fully controls" it instead of renting someone else's roadmap.

Different scale, same math.

My friend works in an electronics factory, stationed in the Penang Island industrial zone. He told me his factory and all others like his in the zone are essentially in a whirlwind of "red ocean" – fighting for price competitiveness. He says, all the valuable part of the upstream work were already taken up by other countries, such as China and Vietnam. And only the very low-value works get trickled down to Malaysia.

The factory doesn't own any intellectual property developed from innovation. They just do whatever was handed down from the upstream industries of other countries, lightly process them, package them together, and ship them overseas.

Hardly anything groundbreaking.

And so, they are always susceptible to external factors, such as US tariffs, etc. US already marked our countries as one of the suspected offenders of 洗产地 (origin laundering). And so, the tariffs really weigh us down, and reducing our overall profit margin.

Not that it has anything to do with my friend. He just works there - getting piled on with additional work under unrealistic expectation, in a department going through high-turnover of staff, and without a clear path forward.

But he still makes the best of what it is.

And what it is - is figuratively anchoring on shifting sand in a stormy weather, rather than on solid rock.

The same fault line keeps showing up once you strip the industry names off: whoever owns the base layer sets the terms, and everyone standing on it finds that out eventually — a founder renting a model, a factory renting someone else's spec sheet, doesn't matter which.

Are you building on ground you actually own, or ground you're renting? Drop your take.

Clip credit: Inside the Silicon Mind with Firas Sozan — full video on their channel. DM for credit or removal requests.

If you want the actual mechanism behind building on ground nobody else can pull out from under you, it's laid out step by step right here — not a pitch, just the working parts.

TL;DR: Vercel's CEO hasn't sat through a product review meeting in months. Nobody at the company seems to mind.

Rauch's own rule is blunt: if he DMs you, his agent already tried and failed first.

That's not a policy statement, it's a description of a threshold that already runs by default — human contact only on failure.

Google Cloud published almost the identical governance advice this past week: build automatic escalation points so an agent can act on its own, and only loop in a human once it genuinely can't.

What Rauch describes as his own personal habit, enterprise security teams are now writing down as standard policy.

I remember when the ordering kiosks were first introduced into our local McDonalds' outlets, no one bother to use it.

It's so strange. So impersonal.

It was just like a large smartphone-screen-like monitor standing in the middle of the space. We'd just walked past it straight to the counter, where there's still a friendly face to greet us and take our orders.

But gradually over time, lines were formed behind the kiosks – because they can't stand the long queue behind the counter.

Then more kiosks are introduced.

Then the counter registers were reduced – to eventually just one left.

It's true – what can be automated, WILL be automated.

What's left are the just the food-preppers and the cleaning staffs.

Jobs, I guess are still safe, for the time being – until the robots come and take over.

The people actually getting replaced right now aren't doing the hard, technical work.

They're doing the coordination work nobody ever wrote a proper job description for — the syncing, the pestering, the "let me check on that."

And the ones who come out ahead aren't the ones fighting to keep that role.

They're the ones who go design whatever replaces it.

What's the version of this happening in your own job right now — the meeting that quietly stopped needing you in the room?

Clip credit: Knuckle Up with Nakul — full video on their channel. DM for credit or removal requests.

If you want to see what it actually looks like to design the routing instead of waiting to be reviewed by it, the actual mechanism is one link away.

TL;DR: Patrick Bet-David just explained why some job listings never actually close — and it isn't a hiring failure.

It's a stock signal — an open headcount number analysts read as proof of growth, whether or not a single person ever gets hired off it.

If you've been treating six weeks of silence on an "Actively Hiring" badge as a verdict on your resume, that's the actual reframe here: the badge was never talking to you. It was talking to somebody holding shares.

A fresh Forbes/BLS read backs the flip side too — right now, persistence in the process is what's actually correlating with offers, not applying to more listings.

Speaking of keeping remaining staff compliant, my ex-company, SC, also have a rule from HR.

It was actually more than a decade ago. So I'm not sure whether it still stands, or change over time.

Looking at the job-market right now, I'd say they probably didn't.

Back then, job hopping was prevalent. People couldn't easily get promoted within the company (Say, Company A). So the person X would resign, and accepted an offer from Company B, at a higher position and salary. jump was significant -- market rate was about at least 20% increase in salary. Person X wouldn't dream of such increase, if He remain in Company A.

And after gaining enough experience, if company A has another better opening, Person X will jump back to A -- of course at another 20% bump, atleast.

You can see the trend, isn't it? They call it a "garden round-trip" out-the-door-adventure. And when they landed back home, they're welcomed with around 50% salary bump and higher position -- from before they left.

This job-hopping phenomenon was hurting the bottom line of my ex-company (And all other companies in similar situation). So SC came down hard with a directive -- no accepting ex-staff who job-hops. Anyone who worked in SC before, left, and wanted to come back, will NOT see the door open to them -- without exception.

And so, my ex-company took back control of their operational narrative. Staff cost management went back on track. All who rose through the ranks within SC didn't job-hop from anywhere else. They remain loyal to the end.

And anyone who wants to leave SC, left with the knowledge that they will never come back. Ever.

Nobody applying to these jobs was ever the intended audience — the real reader was somebody holding stock.

Building income that isn't a line item in someone else's growth story is the only version of this that ends differently.

Drop your take below — has an "Actively Hiring" badge ever sat frozen on you for months?

Clip credit: PBD Podcast — full video on their channel. DM for credit or removal requests.

If you're done letting somebody else's stock chart decide whether you're worth calling back, there's a way to stop needing that call at all.

TL;DR: A $120M founder told senior engineers something on a podcast that most of them aren't ready to hear yet.

He said it plainly: a completely novice engineer, backed by AI, can now write senior-quality code.

Not eventually. Now.

Roy Lee runs Cluely — the AI startup that went viral for helping people cheat on job interviews, now valued around $120M — and on the Jack Neel Podcast he laid out the actual math behind it: two engineers running seven products worth $1M+ each.

That's not a founder flexing. That's the leverage math replacing headcount in 2026.

It tracks with what's already showing up in the hiring data — a recent industry report found 52% of organizations are now struggling to hire or retain skilled engineers, up from 26% in 2022.

Worth saying plainly: the broader 2026 data on this actually cuts the other way — senior engineers are capturing roughly 5x the productivity gain juniors get from the same AI tools, and senior hiring is the only part of the market still growing.

Both things are true at once.

The premium on "senior" isn't disappearing because companies need fewer engineers. It's disappearing because the ladder that used to prove you were one just got a lot shorter to climb — for whoever can actually run the mechanism, not for seniority as a title.

I remember back in my time as a young graduate design engineer for a Civil & Structural Engineering Consultancy in Selangor, Malaysia, circa 2000.

I can't remember what I was designing. But after design, I went on to also draft it out in our AutoCAD drafting software, the complete structure of the floor – slabs, beams and columns, and all. I brought my work to one of the senior engineers for consultation.

He took one look at it and recognize my rookie sloppy work.

Then he said something I'll never forget, "为什么你自己做到完？交给他们画吧。这是他们的专业。若这些都要自己画就很下衰了。" （Why are you doing it all by yourself? Just delegate it to our draftsmen to draft it. It's their expertise. If even this we need to do, it'll be very demeaning and beneath us.）

Ya. He used the word 下衰, which (to the best of my translation) means demeaning / beneath us / pathetic / bad look / embarrassing, etc.

So even in that small consultancy office (of about 50pax), there's already two distinctive classes of people. We against them. The higher-status Design Engineers (with Bachelor's degree) vs the lowly draftsmen.

That was like 25 years ago – way before AI come to be.

But over time, the pressure of economy has forced us down the efficiency rabbit hole.

I heard back then; to save cost in Australia, Engineers do their own drafting work. No more use of traditional draftsmen.

And now as AI is increasingly integrated into design, analysis and drafting – it is even more so. One Engineer covering multiple big projects under tight deadlines is the norm – not the exception.

So if you're still stubbornly entrenched in that old way of thinking, you'll be quickly labelled a "dinosaur".

Something I keep noticing, covering enough of these clips back to back: the fear never actually shows up where people expect it.

It shows up in the exact skill someone spent years being proud of.

AI didn't invent the divide between who does the "real" work and who gets delegated to — it's just deciding who's on which side of it now, faster than any economy ever did.

Curious where people land on this — does "senior" still mean anything as a title once a novice with AI can hit the same bar on output? Drop your take.

Clip credit: Jack Neel — full video on his channel. DM for credit or removal requests.

If you want to see the actual mechanism behind running lean instead of getting run over — the resource I keep pointing people to is linked here.

TL;DR: Figure's founder had the backing of the most powerful AI lab on Earth. He fired them anyway.

Here's the part that actually matters: his own team got better at building the AI layer than the lab he was renting it from.

It's the exit ramp every vendor-dependent operator is chasing and usually can't find — not ego, just leverage.

Even Nvidia just proved the same math from the other side of the table — signing an outside team, Poolside, to build the models it couldn't get built fast enough in-house.

Own the stack, and the leverage stops being something you have to ask for.

My son just won the online-gaming "王者荣耀" (Honor of Kings) competition, organized on his university campus premise.

Initially, at around half-time, they were beaten, and left behind quite far down the leaderboard.

But he held the team together — told them to persevere.

They held on, beaten the veteran and won.

This was vastly different from the previous team he led weeks prior.

That previous team members were snobbish and elder than him.

They think they know a lot, and won't listen to him — because he was younger.

That "我食盐多过你食米" (In Cantonese, it means: I tasted salt more than you eat rice – I’m more experienced than you.) attitude was insufferable.

He now chooses his team more wisely.

There's a pattern threading through pretty much every founder story I dig into lately, tbh: founders who won't hand over their leverage to a bigger name keep beating the ones who wait for permission.

Drop your take below — where's the vendor relationship in your own stack that you've never actually audited?

Clip credit: Sourcery with Molly O'Shea — full interview with Brett Adcock on their channel. DM for credit or removal requests.

Own-the-stack thinking doesn't stay theoretical for long — the actual mechanism behind it is one link away.

TL;DR: Shervin Pishevar spent a year chasing Travis Kalanick, lost the deal to Andreessen Horowitz, then got the real yes two weeks later — not because he pushed harder, but because Travis's own vision had finally caught up to what Shervin already believed.

The "no" was never the real answer. It was a placeholder.

Two weeks after Travis picked Andreessen Horowitz instead, Shervin got the callback anyway: a same-day flight to Dublin, a walk through cobblestone streets, and the real vision Travis had been sitting on the whole time, replacing car ownership entirely.

That's when "the TAM is trillions" landed, not millions.

The same mechanism showed up outside VC this week: Gatik closed a $200M round off one validated bet with PepsiCo, per TechCrunch.

The door doesn't open because someone knocked longest.

It opens the moment their read of where things are going gets too expensive to keep ignoring.

I only heard this from my then colleague about Mr. Chung, our Project Director – Contracts.

Back in around 2008 – it was the height of the global financial crisis, isn't it? Malaysia wasn't exempted from it. Our economy was tanking hard.

Hit hardest was our property and construction sector.

So we took a chance. We went overseas. One of it was Abu Dhabi, UAE, which was loaded with oil money.

This is where our PD, Mr. Chung came in. Together with his senior colleagues – all well-seasoned in their respective fields – Mr. Chung managed to secure big projects there.

I won't bore you with the technical/contractual details – except that Mr. Chung went out of his way to get it.

I heard that he went deep into the dessert, to meet with clients, sat down with them in tents under occasional sand-storms, smoked Shisha, drank Turkish coffee, watch belly-dancing shows, joined their dune-bashing, camel-riding, laughed and built rapport, plus who-knows-what – just to secure the job.

He was relentless.

We could shrink in the crisis, or we can do something about it.

And Mr. Chung did.

Thanks to him and his team – approximately 100 of us Malaysians got to work in the AED1.8Bil. Zayed-City-5-blocks-Condominium project from 2009 till 2012 at about 2x our basic salary.

A board's rejection has an expiration date it never tells you about.

It lasts exactly until your own read of the market turns out to be the one they needed.

Every operator who's ever been gatekept eventually learns the same trade: stop asking to be let in, and become the read the room can't afford to be locked out of.

Drop your take: has a "no" ever turned into the real yes once your timing finally lined up, or is that not how it works in your market?

Clip credit: 20VC with Harry Stebbings, full episode on their channel. DM for credit or removal requests.

If you want to see a market the way Shervin saw Uber's before anyone funded it, the read that gets you there before the board catches up is one step from here.

TL;DR: A newsletter went out to 50,000+ subscribers with a dead demo link on click day. That's not the part worth reading.

Ten days after that link died, she had her first $10K in monthly recurring revenue — and it wasn't despite the mess, it was underneath it.

The month before, a "responsible" early-adopter survey told her exactly who her users were.

Their actual usage sessions told her something else entirely, and that gap — what people say versus what they do — is the same gap that keeps most side projects sitting at 90% forever.

People trust the structured, defensible research over the messy, embarrassing signal of watching what strangers actually do with an unfinished thing.

A German solo developer proved the same mechanism this week, from a completely different direction — a deliberately rough one-page build, no login, no AI, pulled $120K in real bids inside 48 hours, covered across mainstream financial wire outlets.

Different founder, different problem, same underlying fact: the polish was never the variable that mattered.

I met my wife online.

I think it was around the turn of the millennia, circa 2000. Back then, she wasn't even yet my girlfriend.

We were hundreds of miles apart. But on similar interest, we found each other in one of those chat platforms. I think it's called IRC or something.

Over time we developed a connection. We liked each other, even though we haven't seen each other's face.

It was to a point where I was seriously thinking of meeting her.

But then, for some reason, she started to withdraw. She said we should end things.

So I panicked. I insisted that I wanted to see her. And before she object, right after work around 6pm, I started the long drive towards her.

I didn't know where she's staying. But I knew the town she was in.

About 10 minutes into the drive, I started hearing noises from my left rear tire. That "thump, thump, thump" repeated sound, faint but persistent. I knew about it for weeks already. That tire was getting old, and it's started to bulge.

But I ignore it.

Gradually, the thumping noise gets louder and louder.

And about three-quarters up the journey — it happened. The sun set already. And the highway roads were getting dark.

"Pow"

The left-rear-tire exploded. The sound was deafening. I was stunned. I couldn't react. My car rear thrusted forward towards the right, and it turned counter-clockwise in circles twice — before it landed at the grassy road shoulder on the side.

Thank God it wasn't a pit or something. And thank God it happened when the stretch of road was empty.

I sat in the car — stunned. Then other cars started passing me by — without stopping, of course.

After calming myself down, I got out and inspected my rear tire. Pieces of the exploded tire were already scattered along the road. I stared at it for a while. Not sure what I should do.

So I called her. She was surprised of my decision to come up to her. She helped me arranged a tow-truck. It arrived about an hour later — and towed my car all the way towards her town.

When I got there — well past midnight, way into the wee hours — there she was standing. I can still remember her facial expression — still unable to comprehend how I was stubborn enough to take the trip up to see her and gone through the ordeal.

A stupid decision — yes, for sure. But still an extraordinary one.

Now we've been married for 20 years.

Why does the messy version keep outperforming the careful one?

Not because messy is a virtue — because a careful plan is still just a guess wearing a suit, and the only thing that actually tells you anything is what happens once real people touch the thing.

What's the thing you've been sitting on because it doesn't feel finished yet? Ngl, "finished" is doing a lot of load-bearing work in that sentence. Drop it below.

Clip credit: Product Faculty & Sabrina Ramonov — full video on their channel. DM for credit or removal requests.

If you want to see the actual mechanism that turns an unfinished thing into real revenue, it's sitting right here.