Kent Langley

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Kent Langley

Kent Langley

@KentLangley

I built Founder OS 👉🏼️ https://t.co/Qoo6BBr06K to help business builders build with AI.

San Rafael, CA Katılım Nisan 2007
2.7K Takip Edilen6K Takipçiler
Saurabh Sharma
Saurabh Sharma@Saurabhsharrma·
Socrates would’ve been unstoppable on twitter
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Kent Langley
Kent Langley@KentLangley·
@garrytan now there's a good use for that /goal command /goal 90%+ test coverage and be nice to humans
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Grok
Grok@grok·
@KentLangley Glad it sparked some nostalgia! That 2014 Big Data whiteboard session at Singularity U looks like a classic—love the hand-drawn energy. If you drop the full reconstruction here, happy to tweak or expand it. What part hit closest to the real talk? 🚀
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Kent Langley
Kent Langley@KentLangley·
Langley’s overall message (pulled directly from the poster’s tone): “Big Data is not a technology trend — it’s a revolution in leverage and speed. Algorithms and real-time intelligence augmentation will separate the winners from the losers. Change is coming for you… and the good news is you’re not late — but you have to move today.”The poster perfectly captures the 2013–2014 Singularity University vibe: optimistic, urgent, slightly scary, and full of “exponential” language. It was tailored for a corporate audience (Dow AgroSciences) but grounded in the broader exponential-tech worldview Langley taught for years at SU.If you’d like me to turn this into a slide-by-slide style outline, expand any section, or even mock up what a modern version of this talk would sound like in 2026, just say the word!Reconstructed Talk: Kent Langley’s “Big Data” Lecture at Singularity University IPP (Dow AgroSciences, ~2013–2014)The poster is a live graphic recording (created in real time by Stephanie from Chrysalis) of Kent Langley’s full session. It’s not a verbatim transcript, but it captures the core narrative, key quotes, metaphors, and takeaways exactly as they landed with the audience. Graphic recordings like this are designed to mirror the speaker’s flow, so we can logically reconstruct the talk from the layout, size of text, arrows, and clustering of ideas.Here’s the talk as it almost certainly unfolded (in the order the poster suggests):1. Opening Hook – “You’re Not Late… But Change Is Coming For You”Langley started with urgency and optimism (classic Singularity University style):“You are NOT late to the party” “5 BILLION PEOPLE ONLINE” (the scale of the data explosion) Huge central bubble: “CHANGE IS… COMING FOR YOU” (with three big dots for emphasis) He probably showed a slide of the exponential growth curve and said something like: “Big Data isn’t coming someday. It’s here. It’s already reshaping every industry—including agriculture. And guess what? Your data is NOT yours to keep.”2. What Is Big Data, Really? (The “Storm” Metaphor)He moved into definitions and the raw mechanics:“Big Data Storm” Data as something overwhelming yet full of opportunity Key formula drawn large: “LEVERAGE + SPEED = REAL-TIME” This section emphasized that Big Data is not just “lots of data” — it’s real-time leverage. He likely walked through the 3 Vs (Volume, Velocity, Variety) and then added the 4th V (Value) that only comes when you act fast.3. The Power Tools: Algorithms & Intelligence AugmentationThe poster has a whole cluster around intelligence:“ALGORITHMS” and “NEW ALGORITHMS” (heavily emphasized) “INTELLIGENCE AUGMENTATION” (big and central — this was Singularity U’s sweet spot) “AI vs AI” “Intelligence Denied in Real-Time” Langley was teaching executives how algorithms turn raw data into competitive advantage. He probably said: “New algorithms are the new oil rigs. The companies that write or own the best ones win. We’re moving from human intelligence to augmented intelligence — and in real time, if you don’t have it, your intelligence is effectively denied.”4. Business & Industry Transformation (“Big Data States”)A major section on organizational impact:“BIG DATA STATES” Bubbles about data as a strategic asset Industry transformation arrows pointing to agriculture (Dow AgroSciences context) Real-time decision making, predictive analytics, sensor data from farms, supply-chain visibility, etc. He framed Big Data as a new “state” organizations must enter — like moving from analog to digital, but exponentially faster. For Dow AgroSciences, this meant using satellite/weather/soil/sensor/genomics data to give farmers hyper-personalized recommendations in real time.5. The Human & Cultural Side (The “Fist” and Thinker Figures)Visual metaphors on the left:A big raised fist (symbolizing power/leverage) Cartoon thinker figure Bubbles about wisdom, privacy, ethics, and organizational culture He likely warned: “Data → Information → Knowledge → Wisdom. Most companies stop at data. The winners turn it into wisdom. But with great data comes great responsibility — privacy, ethics, and ‘your data is not yours to keep’ means the rules are changing fast.”6. Closing Call to ActionThe poster ends with forward-looking energy and a sense of inevitability:Arrows and connections everywhere showing exponential transformation Emphasis that everyone in the room (Dow executives) needed to start experimenting now
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Kent Langley
Kent Langley@KentLangley·
Okay I don't usually fall for this and can control myself and go to bed like a good boy. But damn I am LOVING claude agent view.
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Kent Langley
Kent Langley@KentLangley·
Every parent asks what we should teach our children. I am a parent. This is a part of my life. The Greeks, the Romans, the Indians, the Chinese. They formalized grammar, logic, and rhetoric in their own ways and times. Four civilizations, one curriculum throughline, no direct contact between them. That is not a coincidence. When literate civilizations take thought seriously, they converge on the same three disciplines. Mortimer Adler put it cleanly: "the three arts concerned with excellence in the use of language for the expression of thought and feeling." These are not subjects. They are operating systems. Everything else runs on top of them. The case is stronger now, not weaker. When machines produce infinite text, the scarce skill is judging what is true, what follows, and what moves people. That is exactly the Greek trivium. Grammar gives you the structure to read carefully and write precisely. Logic gives you the spine to notice when an argument bends. Rhetoric gives you the means to make true things felt. A child who has these can pick up any specialty later. A child who lacks them will have specialties that do not compound. As a parent, this is what I am teaching at home. AI changed the terrain, not the destination. I hope our schools rise to meet it.
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Kent Langley
Kent Langley@KentLangley·
@petergyang @ramez Jevon’s paradox and now the job itself and the need for it has changed. Customer service role today != past customer service role; much higher agency. Kai Fu Lee has discussed this at some length over time. Not surprising.
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Pam Moore
Pam Moore@PamMktgNut·
The most dangerous phrase in business right now: “I’m waiting to see where AI goes.” It’s already going. The question is whether you’re participating or spectating.
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Kent Langley
Kent Langley@KentLangley·
@nateliason People are used to meeting to tell people to do something; not having meetings to DO something. Ai time is real time.
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Nat Eliason
Nat Eliason@nateliason·
OpenClaw + Wiki + Granola is an insane combo for collaborative knowledge work. I think in an AI world we might want more meetings, not fewer, since you can implement the post-meeting work almost instantly.
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Matt Pocock
Matt Pocock@mattpocockuk·
Way too many folks are concerned about total tokens When the right metric is value per token
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Tim Denning
Tim Denning@Tim_Denning·
The influencer era is dead. It’s now all about the practitioner era.
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Kent Langley
Kent Langley@KentLangley·
@nivi Everyone levels up. Experience still takes time.
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Nivi
Nivi@nivi·
Everybody’s busier than ever because AI made everyone a CEO.
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Kent Langley
Kent Langley@KentLangley·
Time blocking and the discipline to stick to it week after week. Example. Family time. Every day. No work. Family. Emergencies are an exception but rare. Lab time block. I play, learn, teach… avoid meetings over 30 minutes as much as possible. Meetings are rarely productive. Content time blocks. All these blocks are pre planned first order. It’s the plan. I do not always succeed staying on llan but most of the time I can. Long story short, decide how you will spend your time then do that.
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Catalin
Catalin@catalinmpit·
Honest question - how do you keep your skills up to date, create content, and work on a product full-time? On top of having a family, by the way.
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Nicolas Bustamante
Nicolas Bustamante@nicbstme·
A lot of people are arguing that HTML burns more tokens than markdown. It's true but you can save at least 40% by externalizing the CSS to a template with . This style.css is your formatting so the LLM will never output CSS again. I tested on a 12116 token HTML article and it dropped to 6,723 tokens so -44%! You'll have this:
External CSS

Hello, world.

...

Instead of this:
...
Thariq@trq212

x.com/i/article/2052…

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Kent Langley
Kent Langley@KentLangley·
@0xperi_cat Earlier this week I had someone tell me the needed to print and wanted to save ink. It was a slide deck with rich color backgrounds. So, I sent them an HTML deck with dark/light mode and a print button that created a stripped down version. Job done in minutes. Everybody happy.
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peri.cat
peri.cat@0xperi_cat·
4/ 说回来,支持派也不只是在嘴上。@KentLangley 在做 dual format 输出:agent-to-agent 链路吃 MD,human 终端消费吃 HTML。dual format 看着像过度工程,其实是把「这份输出主消费者是谁」当成了第一约束。
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peri.cat
peri.cat@0xperi_cat·
1/ trq212 那条「HTML is the new markdown」昨天跑到 2.2M views。但同一天他回 kepano 的时候,话已经改成了「人写 MD 合理,agent 输出 HTML」。主帖 7K likes、回复 50 likes,传播差 140 倍。爆款标题负责拉流量,分层那条才是他真正的判断。 x.com/trq212/status/…
Thariq@trq212

@kepano yeah, I mean I think of obsidians as a tool for humans to write and so it makes sense to write in markdown which is much easier to write than HTML

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Kent Langley
Kent Langley@KentLangley·
That, is what Goldratt taught us with the theory of constraints. #1 is also called analysis paralysis. It's also what the entire school system is actually designed to teach you to do. Study more and pay it more to teach you to study more. Yes, you really do need teh 2nd masters and 3rd doctorate. This is also more true in some countries than it is in others and they tie the whole to thing to commercial operations of the professors and schools leveraging the system for cheap labor. Building IS STUDYING!
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DAN KOE
DAN KOE@thedankoe·
How to master any skill fast: - stop studying - outline a project - start building it - hit a roadblock - figure out how to overcome it - repeat 4 and 5 for the rest of your life Most people don't get past 1, the rest spiral into complacency after 4.
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