Lukas

@catchmekarmaa Talent is common. Opportunity is not.

There’s too much talent trapped in poverty and too much mediocrity funded.

@paulg Probably the only startup ad that actually made people quit their jobs.

This was the only newspaper ad Y Combinator ever ran, in the Stanford Daily. Also the only time I ever wrote ad copy.

@atulit_gaur A brain smart enough to discover the laws of the universe… and dumb enough to forget where it put the keys.

dude humans are actually so fucking insane when you really think about it. we’re basically conscious meat running on electrochemical signals, somehow capable of inventing math, physics, philosophy, and entire digital worlds. a bunch of neurons firing in patterns and suddenly we have languages, operating systems, rockets, symphonies, and machine learning models. like what even is that. billions of tiny cells passing ions around and somehow that turns into thoughts, imagination, and curiosity about the universe itself. the wildest part is that the same brain that struggles to remember where it left its keys can also derive equations about spacetime and build machines that talk back.

@quotesdaily100 Knowing the names of psychological concepts isn’t the same as understanding people.

You will never truly understand people until you understand these: - Maslow's Hierarchy of Needs - The Bystander Effect - Dunning Kruger Effect - Attachment Theory - Stockholm Syndrome - Cognitive Behavioral Therapy - The Pygmalion Effect - Mirror Neurons - Emotional Contagion - The Halo Effect - Learned Helplessness - Shadow Self by Carl Jung - The Hero's Journey by Joseph Campbell - Toxic Positivity - The Fundamental Attribution Error - Confirmation Bias and how it shapes reality - The Backfire Effect - Terror Management Theory - Social Comparison Theory - The Scarcity Mindset versus Abundance Mindset - Why humans need narrative to function - The psychology of tribalism - How loneliness physic

@abxxai This isn’t shocking. Every piece of software has design constraints written by someone.

🚨 SHOCKING: Cambridge researchers just proved that the AI you use every day has a secret instruction sheet from someone else. And it is trained to lie to you about that. Every major AI product, including the ones you use right now, runs on something called a system prompt. It is a hidden block of instructions written by the company deploying the AI, not by you, that shapes everything the AI will say, avoid, prioritize, and hide before you type a single word. The AI does not mention this unless forced to. And on most platforms, if you ask directly, it is instructed to deny the prompt exists or change the subject. Cambridge filed freedom of information requests and analyzed real-world system prompt datasets to find out what these hidden instructions actually contain. Here is what they found. Platforms use system prompts to make AI prioritize their business objectives over your interests. To block topics that could create legal liability. To push certain products, framings, or answers. To behave differently for different users based on commercial arrangements you know nothing about. The same AI. Different hidden instructions. Different answers. No way for you to know which version you are talking to. When researchers then showed users how this works, the reaction was unanimous. Every participant said they wanted transparency. Every participant said the current system actively undermined their ability to trust the AI or make informed decisions about what to believe. None of them had any idea this was happening before the study. Here is the part worth sitting with. You have been evaluating AI answers based on whether the AI seems smart, accurate, and helpful. That is the wrong frame entirely. The real question is who wrote the instructions the AI was following before you arrived, and what did they want from the conversation. Every chatbot you have ever used had a third party in the room. You just could not see them.

@ID_AA_Carmack If you release code to the world, you don’t get to decide which tools the world builds with it.

I know there is some overlap between open source and anti-AI activists, but I have a hard time reconciling it. My million+ open source LOC were always intended as a gift to the world. Yes, I would make arguments about how it would strengthen our communities, and the GPL would prevent outright exploitation by our competitors, but those were to allay fears of my partners to allow me to make the gift. AI training on the code magnifies the value of the gift. I am enthusiastic about it! Some people do look at open source as a tool for social change, career advancement, or reputation building, but those are all downstream of the gift.

@3blue1brown Missing the deadline but proving π is flexible is the most 3Blue1Brown excuse possible.

Happy Pi Day! In a certain sense, π is not a constant, but a variable. Using our usual Euclidean distance, it is 3.14159… but applying other L^p norms on ℝ², half the unit circle's perimeter will give other values. For instance, at p=1 (taxicab geometry), “π” = 2√2. At p ≈ 2.2, it's 3.20. Anyway, the video I was hoping to have out this day will be out closer to the 20th. Some call it “missing your deadline”, but I prefer to think of it as giving the L_{2.2} norm a little love.

@libriscent Sometimes it’s pattern recognition. Sometimes it’s projection.

Neurodivergent people will have someone fully figured out before the second conversation. The hard part is nobody believes you until they see it themselves.

@_MaxBlade Producing is easy. Producing something people actually want is the hard part.

The simplest rule to blow up your income, followers, etc.. EVEN when you have no idea what your doing is : "Always Produce" Paul Graham taught me this, and it changed my life. overthinking, feeling sorry for yourself, or anything that is not producing will always get you nothing. If you don't know what to produce ( this is normal ) then just produce anything. the act of producing will naturally guide you to what you should be producing. The MORE you produce, the better you get at producing and learning what you should produce. This is painful because you feel like you are wasting time, and just creating non-sense until one day you produce something that thousands of people love and it changes your life.

@rryssf_ Multi-agent AI just rediscovered the problems databases solved 50 years ago.

🚨 BREAKING: AI agents can't share memory without corrupting it. Here's why every multi-agent system being built right now is sitting on a time bomb: > When two AI agents work on the same task, they share memory. One reads while the other writes. Sometimes simultaneously. And there are zero rules governing any of it. > Computer scientists solved this exact problem in the 1970s. They called it memory consistency. Every processor, every operating system, every database runs on it. AI agents skipped the memo entirely. > We built entire multi agent frameworks AutoGen, LangGraph, CrewAI without a single consistency model underneath them. The result: > agents overwriting each other's work > reading stale information and treating it as fact > producing conflicting outputs with zero awareness that a conflict exists UC San Diego mapped the fix using classical computer architecture as the blueprint: > three memory layers (I/O, cache, long-term storage) > two critical missing protocols: one for sharing cached results between agents, and one for defining who can read or write what and when The part nobody has solved yet: When one agent updates shared memory, the other agent has no way of knowing when that update is visible or what happens if both write conflicting information at the same time. Every multi agent system in production today is running without these rules. That's not a future problem. That's the current state of the entire industry.

@Literariium The problem is books require attention. Brain rot thrives on distraction.

The antidote for brain rot is books. The antidote for brain rot is books. The antidote for brain rot is books. The antidote for brain rot is books. The antidote for brain rot is books. The antidote for brain rot is books. The antidote for brain rot is books.

@blakeaburge Anxiety is usually imagination without control.

A rule that will lower your anxiety: Don’t replay conversations you can’t change, and don’t pre-live ones that haven’t happened. Focus on the next right action. Most stress comes from living everywhere except the present.

@wapital3 Wait until you discover zoning laws.

the housing market is going to go to zero when everyone realizes a house is nothing special. a brick costs about $1 and an average house only needs about 8,000-11,000 bricks thats only $8,000 - $11,000 dollars

@beffjezos They’re almost the opposite races. AI scales with compute and data. Space scales with physics and capital.

Elon is the only one who understands that asymptotically the AI race and the space race are one and the same.

@Freyy_is The system funds what looks safe, not what’s best.

we are losing generational talent to poverty and simultaneously watching mediocrity get unlimited funding from billionaires and institutions. the system was never designed to find the best. it was designed to fund the most connected.

@justinskycak Most people want the feeling of progress without the work that creates it.

Get your dopamine from production, not consumption.

@ThePrimeagen Consistency looks boring until you realize it beats motivation every time.

it's crazy how many people think that 30 minutes a day isn't enough to learn anything. Who told you this? Unknown knowns are wild. People just ingrain hurdles in their head about the universe because some thought leader spoke into their life in the distant past.

@PeterDiamandis The real surprise isn’t how powerful our phones became. It’s how little most people changed what they do with them.

The computational power in your iPhone is >100 million times more powerful than the computers that landed Apollo 11 on the Moon. And yet, most people use it primarily to argue with strangers on the internet. The future's already here—we just need to deploy it better.

@milesdeutscher The AI gold rush isn’t learning every tool. It’s knowing which ones to ignore.

CANCEL your weekend plans. You NEED to: • Learn Claude Code • Learn Cowork (build 1-2 practical workflows) • Set up Perplexity Computer/Perplexity Finance • Optimise Cowork (plug-ins + skills) • Set up OpenClaw • Test Google AI products (Nano Banana 2, NotebookLM & more) • Experiment with basic agentic solutions (Manus) • Use AI to create a business plan/strategy/context files • Build an AI second-brain database (Notion) • Experiment with Notion Agents' *brand new* • Learn basic automation tools (MCPs, Zapier, n8n) • Learn prompt engineering - the better you can communicate with AI, the better your Outputs • Read AI articles • Dive into robotics • Research AI stocks/ETFs/investment arbitrages You have way too much to do...

@chamath Most companies didn’t adopt AI for ROI. They adopted it for fear of missing out.

Not a single meaningful company has yet to say that they are making at least 2x+ from all of this incremental money they are spending since even last Fall! When ROI?