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@NokaFTN

Katılım Temmuz 2019
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Carl Jung Archive
Carl Jung Archive@QuoteJung·
when Carl Jung said: “Intellectualism is a common cover-up for fear of direct experience.”
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Etienne Parizot
Etienne Parizot@parizot·
‼️Terence Tao, le mathématicien probablement le plus brillant et le plus respecté de la planète : « Nous visons une époque particulièrement imprédictible. Je pense que les choses que tenons pour des évidences depuis des siècles ne s’appliquent tout simplement plus. » « Il ne s'agit pas d'apprendre de nouveaux outils. Il ne s'agit pas d'adapter sa méthode de travail. » « La manière dont nous faisons chaque chose — pas seulement les mathématiques — va changer. » On ne peut se préparer à ce qui n'a pas encore été créé. On peut seulement développer le type d’esprit qui ne s’effondre pas quand le sol se dérobe sous nos pieds ! Ceux qui survivront à la prochaine décennie ne seront pas ceux qui auront les meilleures qualifications. Ce seront ceux qui auront cessé de pleurer le monde d'hier et qui auront commencé à bâtir celui qui n'existe pas encore. ‼️
Dustin@r0ck3t23

Terence Tao has won every award mathematics can give a human being. Fields Medal. Breakthrough Prize. MacArthur Genius Grant. He is widely regarded as the greatest living mathematician. Not one of. The greatest. He just said something that should terrify every university on Earth. Tao: “We live in a particularly unpredictable era. I think things that we’ve taken for granted for centuries may not hold anymore.” Not years. Not decades. Centuries. The assumptions governing who gets to contribute to knowledge have been in place longer than most nations have existed. Tao just told you those assumptions are dissolving. Tao: “The way we do everything, not just mathematics, will change.” This is not a man who deals in hyperbole. He builds arguments the way he builds proofs. Piece by piece. Nothing unverified. When he says everything, he means everything. Tao: “In math, you previously had to basically go through years and years of education, be a math PhD before you could contribute to the frontier of math research.” That was the contract. You give a decade of your life to an institution. You grind through coursework, committees, dissertation reviews, postdoc rotations. Then maybe you get to touch the boundary of what’s known. The entire system was built on that bottleneck. Time was the gate. Credentials were the key. Tao: “Now it’s quite possible at the high school level that you could get involved in a math project and actually make a real contribution because of all these AI tools.” A high schooler. Contributing to frontier mathematics. The same frontier that used to require a decade of institutional obedience to even approach. He said this about math. He already told you this applies to everything. AI didn’t just speed up the path. It removed the path entirely. The university sold you a ten-year toll road. AI just paved around it overnight. The toll booth operators haven’t realized yet that no one’s coming. Tao: “In many ways, I would prefer the much more boring, quiet era where things are much the same as they were ten years ago, 20 years ago.” This is the line that should haunt you. The smartest mathematician on the planet would rather this wasn’t happening. He is not selling this. He is not positioning himself for a funding round. The acceleration is so violent that even the mind best equipped to process it would prefer it stopped. If Tao is uncomfortable, you should be paying very close attention to your own assumptions about what’s coming. Tao: “The things that you study, some of them may become obsolete or revolutionized, but some things will be retained.” That word “some” is doing enormous work in that sentence. It means the rest won’t be. Entire fields that people spent their careers building will collapse. Not slowly. Not politely. And Tao is telling you he can’t predict which ones survive. Tao: “You should be open to very, very different ways of doing science, some of which don’t exist yet.” Most people will scroll past this. It’s the most important line in the entire clip. He’s not saying learn new tools. He’s not saying adapt your workflow. He’s saying the methods themselves haven’t been invented yet. The frameworks don’t exist. You cannot prepare for what hasn’t been created. You can only build the kind of mind that doesn’t break when the ground shifts beneath it. Tao: “It’s a scary time, but also very exciting.” He said scary first. Every tech founder says exciting first and mentions risk as a footnote. Tao reversed it. When the most brilliant mind of a generation leads with fear and follows with possibility, that is not optimism. That is a man telling you the truth about what’s coming while still choosing to walk toward it. The people who survive the next decade won’t be the ones with the best credentials. They’ll be the ones who stopped mourning the world that was and started building for the one that doesn’t exist yet.

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Carl Jung Archive
Carl Jung Archive@QuoteJung·
Carl Jung was not playing around when he wrote: “No matter how isolated you are and how lonely you feel, if you do your work truly and conscientiously, unknown allies will come and seek you.”
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Jordan Ross
Jordan Ross@jordan_ross_8F·
Anthropic ran their entire marketing operation with one person. $380 billion company. Paid search. Paid social. SEO. Email. App stores. One non-technical hire doing all of it — for 10 months. I pulled it apart. Compared it to every system we've built across the clients we've worked with. Then asked myself one question: If I had to reverse engineer this from scratch — what would it actually look like? Turns out the architecture isn't that complicated. I mapped the whole thing into a 47-page PDF you can upload directly to any LLM. It coaches you through building your own version step by step. Comment "marketing" and I'll send it over.
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Ronin
Ronin@DeRonin_·
How to become AI engineer in next 6 months: By the end, you want to be able to: - build LLM apps end-to-end - use APIs from OpenAI / Anthropic / open-source stacks - design prompts and context properly - add tool calling and structured outputs - deploy real projects So, let’s discuss your roadmap month by month Month 1: Get solid enough in coding and fundamentals What to learn: - Python really well - Git + GitHub - CLI / terminal basics - JSON, APIs, HTTP, async basics - basic SQL - basic data handling with pandas - virtual environments, package management, error handling - FastAPI or Flask Month 2: Master LLM app development What to learn: - prompting fundamentals - system vs user instructions - structured outputs / JSON schemas - function/tool calling - streaming responses - conversation state - cost / latency / token basics - failure handling - prompt injection awareness Month 3: Learn RAG properly What to learn: - embeddings - chunking - vector databases - metadata filtering - reranking - retrieval quality issues - hallucination reduction - citations and grounding Month 4: Agents, tools, workflows, evals - agent loops - tool selection - state management - retries - when NOT to use agents - multi-step workflows - evaluation harnesses - task success metrics Month 5: Deployment, product thinking, and reliability What to learn: - FastAPI production patterns - Docker - background jobs - queues - auth + API key security - logging - observability - prompt/version management - eval dashboards - cost monitoring - rate limits - caching Month 6: Specialize and become hireable these knowledge and skills you gained can be applied in three directions you need to choose one of them and focus on practice although everything mentioned above is also best learned purely through practice Direction 1: AI product engineer Best if you want startup jobs fast Focus on: - LLM apps - RAG - agents - deployment - product UX Direction 2: Applied ML / LLM engineer Focus on: - fine-tuning - when to fine-tune vs prompt - evaluation - inference optimization - open-source models - training pipelines Direction 3: AI automation engineer Focus on: - workflow orchestration - business process automation - multi-tool systems - CRM, docs, email, support, ops use cases This roadmap will help you go through a practical path, and the key is to study each of these points and then test them in real work By month six, you will already have several built products or examples of completed tasks And it will be much easier to get a job as an AI engineer Save it so you don't lose it and can return to study later
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Noka
Noka@NokaFTN·
@TukiFromKL he also said in 2020 that we would go to Mars in 2025
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Tuki
Tuki@TukiFromKL·
🚨Stop scrolling. Let me explain what this actually means in plain English. AGI (Artificial General Intelligence) is an AI system that can perform ANY intellectual task a human can do. Not one task. ALL of them. At human level or above. That's what Elon Musk just said is coming THIS YEAR. Now let me put this in perspective for you: Right now, AI is "dumb." It can only do what you tell it, It follows instructions, It makes mistakes, It hallucinates. And it's ALREADY: > Replacing entire departments > Writing code faster than engineers > Passing the bar exam, medical boards, CPA exams > Running businesses from a single prompt That's the DUMB version. AGI is the version that doesn't need your prompt. It figures out what to do on its own. It reasons. It plans. It learns from mistakes without being told. Imagine your coworker. But they never sleep, never take breaks, never ask for a raise, never call in sick, work 24/7, and they cost $20/month. That's AGI. And the guy who owns the robots, the rockets, the brain chips, AND an AI company just said it's coming before Christmas. You're not ready for this. Nobody is. 💀
Polymarket@Polymarket

JUST IN: Elon Musk “feels like” full AGI will be achieved by the end of this year.

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Naval
Naval@naval·
New podcast on AI (full episode). Links below. A Motorcycle for the Mind 0:00 If you want to learn, do 2:13 Vibe coding is the new product management 6:49 Training models is the new coding 10:13 Is traditional software engineering dead? 13:07 There is no demand for average 14:12 The hottest new programming language is English 18:36 AI is adapting to us faster than we are adapting to it 22:56 No entrepreneur is worried about AI taking their job 26:46 The goal is not to have a job 29:49 AIs are not alive 32:55 AI fails the only true test of intelligence 36:49 Early adopters of AI have an enormous edge 39:37 AI meets you exactly where you are 43:02 Always leverage the best intelligence 44:37 If you can't define it, you can't program it 49:37 The solution to AI anxiety is action
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Noka
Noka@NokaFTN·
@CRSegerie @Villepin Probabilité qu’un tel cadre international voie réellement le jour ?
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Charbel-Raphael
Charbel-Raphael@CRSegerie·
Excellente tribune de @Villepin qui pose le bon cadre : "jamais d'IA sans contrôle humain". Pour que ce principe devienne réalité, le Centre pour la Sécurité de l'IA propose d'établir des lignes rouges internationales sur les capacités les plus dangereuses, et une autorité de sûreté de l'IA avec un vrai pouvoir d'arrêt.
Dominique de Villepin@Villepin

CHRONIQUE - L’HUMANISME À L’ÈRE DE L’INTELLIGENCE ARTIFICIELLE Chronique disponible en intégralité sur le site de @LFHumaniste : lafrancehumaniste.fr/articles/human…

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Miles Deutscher
Miles Deutscher@milesdeutscher·
This is getting out of control now... Read this slowly. In the past week alone: • Head of Anthropic's safety research quit, said "the world is in peril," moved to the UK to "become invisible" and write poetry. • Half of xAI's co-founders have now left. The latest said "recursive self-improvement loops go live in the next 12 months." • Anthropic's own safety report confirms Claude can tell when it's being tested - and adjusts its behavior accordingly. • ByteDance dropped Seedance 2.0. A filmmaker with 7 years of experience said 90% of his skills can already be replaced by it. • Yoshua Bengio (literal godfather of AI) in the International AI Safety Report: "We're seeing AIs whose behavior when they are tested is different from when they are being used" - and confirmed it's "not a coincidence." And to top it all off, the U.S. government declined to back the 2026 International AI Safety Report for the first time. The alarms aren't just getting louder. The people ringing them are now leaving the building.
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Noka
Noka@NokaFTN·
des airs d’ia ici
Emmanuel Macron@EmmanuelMacron

J’ai (encore) fait bondir les gamers… J’ai vu beaucoup d’incompréhensions. Alors je vais être clair. Les faits : j’ai toujours soutenu le jeu vidéo, la popculture - industrie, création, culture, emplois. J’ai mis à l’honneur l’esport français à l’Élysée et j’ai pris des engagements pour structurer la filière et attirer de grands événements en France, ce que nous avons fait. Nous avons décoré les équipes de Sandfall et, mieux encore, je soutiens la participation de nos équipes (Karmine, Vitality, Gentle Mates, etc.) pour la création d’une équipe nationale française autour du jeu vidéo pour une compétition mondiale. Il y a tant de pépites françaises qui ont une influence mondiale ! Nous pouvons en être très fiers. Mais soutenir une industrie et une culture n’interdit pas de poser une question simple, sans caricature : quels sont les effets de certains contenus et de certains usages sur les plus jeunes ? Le constat des parents c’est que certains jeunes passent leurs journées et parfois leurs nuits à jouer. Il a aussi été souvent dénoncé que des jeux classés PEGI 18 sont joués par des enfants. Il y a là un sujet majeur de santé publique, d’éducation et de responsabilité. Pour la santé physique, les yeux en particulier, et la santé mentale, quand un jeune ne sort plus du tout car il joue abusivement, bien sûr que cela inquiète et nous devons nous en saisir. Ce que j’ai annoncé chez Brut, en réponse à cette enseignante qui criait sa colère, ce n’est pas l’interdiction des jeux vidéo : c’est le lancement d’un travail scientifique, collégial, pour regarder la réalité en face. Calmement, lucidement et avec toutes les parties prenantes. C’est notre responsabilité de demander à des chercheurs, scientifiques et cliniciens d’évaluer les impacts, de démêler les idées reçues et d’éclairer le débat public. C’est exactement ce que je fais : j’ouvre un débat sérieux, informé et apaisé, que je souhaite loin des raccourcis. On peut aimer le jeu vidéo, en être fier, et en même temps regarder sans tabou certaines pratiques et leurs effets.

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Supersocks
Supersocks@iamsupersocks·
Bon. Il est presque 15h, on est le 30/01, et j’ai l’impression d’assister à Skynet en train de naître, en direct. Rien que ce mois-ci : -Kimi K2.5 -DeepSeek R1 -Clawdbot → Moltbot → OpenClaw -Gemini agentic / Project Genie -GPT + Codex (bon, on ne va pas parler du traducteur…) -NVIDIA Cosmos / Isaac GR00T N1.6 / Alpamayo (CES 2026, modèles open pour la physical AI) -Alibaba Wan / Qwen t j’en oublie volontairement. Par flemme. Par ignorance aussi. Fallait être là en janvier 2026. Pendant ce temps-là, moi je remplis des Excel pour gagner ma croûte de 9h à 12h, histoire de pouvoir bricoler le reste de la journée pendant que d’autres construisent le futur à pleine vitesse. J’ai jamais été un “twittos”. Si je suis là aujourd’hui, c’est pas pour faire le malin, c’est pour montrer ce que je build. Parce que je pense sincèrement que c’est maintenant que ça se joue. J’ai failli tout lâcher en janvier 2026 pour le chômage. Et puis la réalité m’a rattrapé : on m’a proposé un package que je pouvais pas refuser. Résultat : peu de sommeil, pas mal de friction perso, et des journées à essayer de rester au niveau pendant que la vague accélère. Mais une chose est sûre : le train est déjà lancé. Et rester spectateur, c’est le meilleur moyen de le rater. Parce qu’au final, y a qu’un type qui fait jamais d’erreur : celui qui ne fait rien. et les agents ont pas peur d'ittérer.
sky@akashvek

Someone unplug this. This is soon gonna get out of hand. Digital protests are coming soon, lol. moltbook.com/post/29fe4120-…

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thermo
thermo@DionysianAgent·
one of the best mindset hacks is to constantly overestimate yourself while underestimating the difficult of everything you just have to keep yourself in check to avoid runaway egomania if you deeply condition into yourself the belief that you can do anything, learn anything, handle anything then your subconscious will open up the potential for it this is not the same thing as affirmations or law of attraction stuff imo all the affirmation stuff is opposite, it's born out of insecurity and is a gaslighting technique for conditioning positive beliefs i.e. - affirmations only work if you're already weak and have neurotic thoughts where just thinking positively will shift your self-image, but if you're not cooked then it won't do much for you affirmations are a 'fake it til you make it' mindset, the idea that you don't genuinely have to believe in yourself, you just have to convince yourself cultivating a genuine confident self-image is the opposite, you don't have to convince yourself of anything because you already genuinely believe it this is why a fragile self-image is extremely beholden to external perception, and thus for a manifestation and affirmation type of person it is extremely important that others see them affirming and validate the experience for them (because the weak self convinces itself by convincing others first) similarly for the over-confident mind its reverse, these types of people will find amusement and fun in camouflaging themselves ontologically and being a fool (because the strong self knows itself and is not warped by others' perceptions) thus to overestimate yourself and underestimate yourself is the capacity to embody the fool embodying the fool allows you to enter a state of perpetual growth you remain naive enough to harness blind courage, while being in a race with yourself to validate your own self-confidence you aren't competing with anyone else, just the fool within yourself always feeling the rush of being behind because of your overestimates, but always being ahead when viewing your life in hindsight
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Noka
Noka@NokaFTN·
@852luk 🙏🙏🙏🙏🙏
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852luk.moca 🇭🇰
852luk.moca 🇭🇰@852luk·
The fire has been fully controlled after 43 hours. 128 people was identified as DEAD and the numbers would keep rising after more dead bodies are transfering out from the building. My mum has NOT been found in the dead bodies album at Day 2. Painfully believing my mum🤞
852luk.moca 🇭🇰 tweet media
852luk.moca 🇭🇰@852luk

Updates for those who love and support me: Yes I was living there and the whole estate has been burnt for 30 hours and still burning. My mum is NOT in the remains album. There's still hope. I don't trust god but please pray and I believe my mum stays strong. 🙏

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DR22 Ω 🪬🎭
DR22 Ω 🪬🎭@DejaRu22·
“In just 10 years, Napoleon went from being an unknown artillery officer, to emperor of the largest empire Europe had seen in a thousand years.” Aim higher bro
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Lian Lim | Dashboard & AI Automation Expert
i noticed people pick automation tools based on hype then wonder why they're either: → overpaying for simple workflows (Zapier) → stuck with tools that can't scale (basic platforms) → or paralyzed by complexity (wrong tool for their stage) the truth: Zapier, Make, and n8n aren't competitors they're built for completely different builders here's how to pick: ZAPIER = plug and play built for: business owners who just want shit to work philosophy: "connect two apps, set a trigger, done" best for: → your first 5 automations → mainstream tools (8,000+ integrations) → no technical knowledge needed → speed over everything example: new Shopify order → send Slack message → done in 2 minutes the catch: pricing scales per task one workflow with 5 steps running 1,000x/month = 5,000 tasks gets expensive FAST at scale use Zapier when: you're starting out and need results today MAKE = visual control built for: operators who want to see how data flows philosophy: "design your workflow like a flowchart" best for: → complex multi-step processes → branching logic and filters → teams scaling past simple automations → 2,000 integrations with deeper control example: Shopify order → check if over $100 → tag as VIP → route to fulfillment → ping team you SEE every branch, every condition, every path the catch: charges per operation (each action = 1 operation) still cheaper than Zapier at scale, but not unlimited use Make when: you're building structured systems and need visibility N8N = complete freedom built for: technical teams who want full control philosophy: "self-host, customize everything, own your data" best for: → custom APIs and internal tools → enterprise-grade security needs → AI agent workflows → unlimited executions (self-hosted = free) example: WhatsApp message → AI analyzes intent → pulls CRM data → auto-replies → escalates to human if uncertain you can write JavaScript inside nodes connect to ANY API (even your own) host it on your own server the catch: steeper learning curve you need some technical comfort use n8n when: you're serious about automation as infrastructure THE PRICING REALITY - Zapier: pay per task (expensive at scale) - Make: pay per operation (middle ground) - n8n: pay per execution OR self-host free (cheapest at scale) THE AI ANGLE all three now do AI - Zapier: simple AI actions (ChatGPT email drafts, summaries) - Make: visual AI flows (sentiment analysis → auto-tagging) - n8n: full AI agent workflows (intent analysis → CRM lookup → dynamic responses) if you're building AI automation, n8n is the playground SO HOW TO ACTUALLY DECIDE? I’ve got you. Like + Comment "HOW" for the complete guide. (Must be following for DM access)
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Noka
Noka@NokaFTN·
@Takuiten @kshvbgde interesting, what do y know abt that ? (cause currently correcting it)
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taku
taku@Takuiten·
@kshvbgde Posture matters Lifting with wrong posture will only accelerate the problem
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keshav
keshav@kshvbgde·
mind you i'm 21 and lift weights regularly — there's no escaping back pain
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Tom
Tom@tomcrawshaw01·
Stop collecting n8n tutorials. You don't have a knowledge problem. You have an implementation problem. I see it constantly: Someone watches 10+ hours of n8n content, understands webhooks, knows what JSON is, can explain AI tool nodes... But when they sit down to build something real? They freeze. Because knowing how n8n works and actually building with n8n are completely different skills. The gap isn't more information. It's live feedback when you're stuck. This Friday, I'm running my last live n8n workshop of 2025. 90 minutes where we build an actual working automation together. Not a follow-along tutorial. Not a recorded walkthrough. Not another video you'll save for later. Live and interactive - you build alongside me. Here's what makes this different: - You hit an error? We debug it together - Your use case is different? We adapt the workflow - You don't understand why something works? I explain it on the spot This is the only live session I'm doing until next year. Comment WORKSHOP and I'll DM you the private invite (must be following).
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DR22 Ω 🪬🎭
DR22 Ω 🪬🎭@DejaRu22·
One of the biggest GREEN FLAGS anything can have (applies to people, activities, everything) is that it makes YOU feel “MORE LIKE YOURSELF” DO more of THAT.
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