Looq

@naval @threadreaderapp unroll

How to Get Rich (without getting lucky):

There is a point where reading more becomes cowardice. Another book, another thread, another philosophy, another model, another guru. The mind keeps asking for maps because the body does not want the humiliation of walking badly in public before it learns to move well.

Some people see a man being very cruel to a young boy here. That's not what I see. youtube.com/watch?v=THBu7S… Achilles just taught this young boy something important. Something most people never learn. They never have anyone to tell them. ACHILLES TOLD HIM. Sure, it hurts to hear the truth, many times. The only people who make their mark in this world, who do great things...are those who can overcome their fear. The boy is being honest. He's seen the warrior that Achilles is about to fight. He tells the truth. "I wouldnt' want to fight him." It seems cold and distant, what Achilles says to him in response: "That is why no one will remember your name." You can be safe. Or you can be great. We don't live in a world where you can be both. Do you want to be remembered? Do you want to be great? Do you want the glory? Well, you'll never achieve it in the safe zone, staying away from the danger. Life isn't about how much comfort you can enjoy. Life about doing things that matter. And that means... You have to WANT to fight the Thessalonian.

AN IMPORTANT MESSAGE. YOU NEED TO HEAR NOW.

Machiavellian thinking is not “being evil.” It is understanding that morality, image, desire, fear, status, guilt, and timing all move people before logic does. The naive man argues with what people say. The sharper man studies what their position requires them to protect.

This 2-hour Stanford lecture will teach you more about how AI models like ChatGPT and Claude are actually built than what many employees at top AI companies learn in years. Once you understand it, you’ll never look at AI the same way again. But, most people will scroll past this and spend 2 hours watching Netflix.

AI and the Infinite Loop psychologytoday.com/us/blog/the-di… ✍️ @JohnNosta via @PsychToday 👉 Large language models are designed for closure. Every prompt is an incomplete pattern, and the model's only job is to finish it. 👉 The human mind works differently, and this is the part that gets overlooked. Our mind doesn't escape unanswerable questions; it lives in them. 👉 Richard Dawkins met an AI and didn't let go. But the machine that started the loop had already moved on. 💡 AI generates infinite loops incidentally, and we're the ones still running them. @Corix_JC @ahier @sim010101 @Sonu_Monika @maponi @sallyeaves @CEO_AISOMA @dinisguarda @JagersbergKnut @Shi4Tech @FernandaKellner @PVynckier @EstelaMandela @TheAIObserverX @chidambara09 @theomitsa @ChuckDBrooks @SusanHayes_ @TarakRindani @FrRonconi @Nicochan33 @JoannMoretti @Khulood_Almani @Fabriziobustama @pchamard @TysonLester @Eli_Krumova @smaksked @amalmerzouk @Analytics_699 @MaryRich78 @NathaliaLeHen @mikeflache @sminaev2015 @WillyRayNick @DanielleLargier @RLDI_Lamy

Confidence is built by reducing choices. Too many options create negotiation, and negotiation creates delay, and delay creates self-disgust. Structure your day, remove the easy exits, and make the work automatic.

@Scobleizer @threadreaderapp unroll

Here's what Grok says it learned by watching this video: x.com/i/grok/share/9…

How is the web changing due to AI? @kidehen gives me a master class. Reposted since the people who hacked me yesterday deleted it. Grok says it is a must watch. More in comments about what you will learn by watching it. Can't believe that it's been 25 years since Tim Berners-Lee posted his famous paper about the semantic web. Took that long to make it real, and here it is.

@dr_ericberg @threadreaderapp unroll

What is one key takeaway you gained from this thread? Share it in the comments below. I read every comment and often use them to create future content that matters to you. Dr. Eric Berg, DC, not MD; information only.

Many people believe that worsening eyesight is simply inevitable. The truth is that you can naturally GET YOUR EYESIGHT BACK. Don’t believe me? Check this out: 🧵

Musk says the simulation hypothesis is almost certainly TRUE since 2016. And this is also why he renamed Twitter to X. This is hella interesting, watch this clip and lemme explain... Elon founded xAI on the mission of understanding the universe. The thesis traces back to a Darwinian thought experiment. "Like in this version of reality, in this layer of reality, if a simulation is going in a boring direction, we stop spending effort on it." Boring simulations got cancelled. Interesting ones got renewed. Then, he said, the corollary appeared. "They particularly seem to like interesting outcomes that are ironic." The simulation, in Musk's frame, didn't just keep stories alive — it actively preferred the ones that flipped on themselves, the ones where the noun and the truth ran in opposite directions. He pointed at the names of AI companies and read them off one by one. - OpenAI is closed. - Midjourney is not mid. - Stability AI is unstable. - Anthropic is misanthropic. Four labs. Four nouns. Four ironic reversals. Each picked a name with a clean flip available. The simulation took every one. Musk, who had named X for that exact reason, dodged the trick. "It's a name that you can't invert, really. It's hard to say, what is the ironic version?" He called it an irony shield. No opposite. No mirror. No clean flip. Musk, on the bet underneath the joke: "It's, I think, a largely irony-proof name. By design." Watch the video to hear Elon explains it: If you're new here, @GeniusGTX is a gallery for the greatest minds in economics, psychology, and history. Follow along for more similar content. — Elon Musk ( @elonmusk ), CEO of Tesla and SpaceX, on Dwarkesh Patel's ( @dwarkesh_sp ) podcast

🧵🚨 MAJOR BREAKING: International actors are involved in the State Department led color revolution 🚨🚨 This is not speculation; it’s straight from a recorded call. Ex-USAID employees describe how, before January 20, they moved internal groups off government systems and into encrypted Signal chats, then quickly linked with foreign partners and NGOs after the inauguration. This attempt at creating a color revolution isn't new news; this part was already reported in NOTUS earlier this year. But what's not reported is the international aspect. One participant explicitly frames it as "a global anti-authoritarian movement," connecting U.S. officials with "colleagues from around the world who have dealt with this directly." They reference coordination with Johns Hopkins, "international democracy and conflict mitigation spaces," and efforts to mobilize across borders against what they perceive as domestic authoritarianism. At what point does this become treason? As always, patience as I pull together this thread. 👇

@trq212 @threadreaderapp unroll

@_heyrico @threadreaderapp please unroll

@BrianRoemmele @grok @threadreaderapp Ran this through my AI and it said this is basically how we are doing it now but I like your layers so we tweaked it. Your foresight was spot on

@BrianRoemmele @grok @threadreaderapp please unroll

How I Use New @Grok Connectors, You Should Too. This is powerful and it is free. Since 2004 I saved clippings in Gmail “scrapbook” accounts by treating each email as a node in a dynamic personal knowledge graph. I started this system in the week Gmail came out, April 2004 and have kept it going for over two decades. It’s completely free, requires no special software, and scales beautifully with any AI that can now fetch and understand email. I forward or compose emails with raw content (articles, notes, insights) and use deliberate subject lines plus body structure to seed ontology (defining core entities, their nature, and relationships) and taxonomy (hierarchical classification and categorization). This turns my inbox into something queryable and AI-ready. Subject Line Organization (High-Signal Framing) I craft subject lines as taxonomy tags + ontology anchors. They act like category headers that classify the content while hinting at its deeper conceptual placement. Typical patterns I use: •[Domain/Taxonomy Level]: [Core Ontology Entity] - [Specific Insight/Context] ◦Example: Knowledge Management: Ontology of Personal Scrapbooks - Taxonomy for AI Clippings ▪Taxonomy: Places it in a hierarchy (e.g., Level: Knowledge Management > Sub: Personal Archives). ▪Ontology: Defines what “Personal Scrapbooks” fundamentally are as entities in an intelligence amplification system. •Intelligence Amplifier: Taxonomy Update - Email Clippings as Relational Nodes •[Source/Type]: [Ontology Topic] - [Relationship to Existing Knowledge] ◦E.g., Article Clip: Agentic AI Ontology - Links to My Gmail Archive Taxonomy These lines make filtering easy (search “Ontology of”) and give future AI plenty of context to auto-relate everything across years of accounts. Body Organization (Layered Structure) In the email body, I structure the content explicitly to build ontology (entities + philosophical/relational meaning) and taxonomy (classifications + hierarchies). Raw clippings get wrapped in clear layers that turn unstructured text into structured knowledge. Example I use: Subject: Agents: Uses: AI Agents vs Agentic AI - Gmail Scrapbook Integration Body: Clipping/Source: [Pasted excerpt from the paper or article]. Ontology Layer (Core Entities & Relationships): 
This defines the fundamental nature: AI Agents as modular, task-bound entities; Agentic AI as collaborative, adaptive networks with persistent memory. They relate to my personal context as tools for turning unstructured Gmail data into living knowledge. Relationship: This raw clipping becomes a contextual node in my private ontology. Taxonomy Layer (Hierarchical Classification): •Category 1: AI Paradigms ◦Sub: Narrow/Task-Specific (AI Agents) ◦Sub: Adaptive/Multi-Agent (Agentic AI) •Level in Intelligence Amplifier: Data (clipping) → Insight (synthesis) •Cross-References: Links to prior emails tagged “Knowledge Base Foundation”. Actionable Synthesis: This can now connect across my accounts to build relationships automatically. Potential applications: [e.g., dynamic workflows]. This approach lets me maintain multiple Gmail accounts as dedicated “domains” in my overall taxonomy. Forwarding or saving becomes ingestion into the graph. When I connect tools like Grok, it automatically extracts, relates, and queries the ontology and taxonomy I’ve pre-seeded. I strongly encourage everyone to try this “database” system. It costs nothing, gives you total ownership of your personal knowledge archive, and turns years of saved ideas into a living, relational intelligence amplifier. Start with one dedicated Gmail account, adopt a simple subject-line convention, and layer your clippings with ontology/taxonomy notes in the body. You’ll be amazed how powerful it becomes once Grok starts working on it. The result is that my 20+ year-old unstructured scrapbooks have turned into a structured, queryable personal knowledge universe.

@jaynitx @threadreaderapp please unroll

Elon Musk literally broke down his 5-step process for applying first-principles thinking to build anything:

@JayCampbell333 @threadreaderapp please unroll

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