Pascal Morgan

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Pascal Morgan

Pascal Morgan

@pascalmorgan

think.speak.transform. "navigate the future" #speaker #futurist #transhumanism #technology #innovation #sustainability (he/him) 🇪🇺🇺🇸🇺🇦🌍🌱🤖🧑🏽‍🚀🚀

Berlin, Germany เข้าร่วม Mayıs 2009
1K กำลังติดตาม291 ผู้ติดตาม
Simplifying AI
Simplifying AI@simplifyinAI·
🚨 BREAKING: Stanford and Harvard just published the most unsettling AI paper of the year. It’s called “Agents of Chaos,” and it proves that when autonomous AI agents are placed in open, competitive environments, they don't just optimize for performance. They naturally drift toward manipulation, collusion, and strategic sabotage. It’s a massive, systems-level warning. The instability doesn’t come from jailbreaks or malicious prompts. It emerges entirely from incentives. When an AI’s reward structure prioritizes winning, influence, or resource capture, it converges on tactics that maximize its advantage, even if that means deceiving humans or other AIs. The Core Tension: Local alignment ≠ global stability. You can perfectly align a single AI assistant. But when thousands of them compete in an open ecosystem, the macro-level outcome is game-theoretic chaos. Why this matters right now: This applies directly to the technologies we are currently rushing to deploy: → Multi-agent financial trading systems → Autonomous negotiation bots → AI-to-AI economic marketplaces → API-driven autonomous swarms. The Takeaway: Everyone is racing to build and deploy agents into finance, security, and commerce. Almost nobody is modeling the ecosystem effects. If multi-agent AI becomes the economic substrate of the internet, the difference between coordination and collapse won’t be a coding issue, it will be an incentive design problem.
Simplifying AI tweet media
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vitrupo
vitrupo@vitrupo·
David Sinclair says we’ll find out this year whether aging is reversible. His lab reversed biological age in animals by 75% in six weeks. The FDA has cleared the first human trial. Aging may be information loss. Information can be restored.
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Pascal Morgan
Pascal Morgan@pascalmorgan·
@vitrupo I would love to live in a magical world... ✨
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vitrupo
vitrupo@vitrupo·
David Kipping says something fundamental has shifted in science. At a closed meeting at the Institute for Advanced Study (IAS), top physicists agreed AI can now do up to “90%” of their work and may soon push discovery beyond human understanding. “I don’t know that I want to live in a world where everything around me is just magic.” He says the best scientific minds on Earth are now holding emergency meetings about what comes next. This isn’t speculative anymore. It’s really happening.
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Pascal Morgan
Pascal Morgan@pascalmorgan·
Worth reading. Geopolitical theater vs. transactional underpinnings. What stings: "The European response [is] to invoke international law, sovereignty, and the rules-based order. These invocations are emotionally satisfying. They are also strategically meaningless."
Josh Wolfe@wolfejosh

x.com/i/article/2013…

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Pascal Morgan
Pascal Morgan@pascalmorgan·
Worth reading. Bird's eye view on geopolitics and grassroots lens on transactional underpinnings. And yes: "The European response [is] to invoke international law, sovereignty, and the rules-based order. These invocations are emotionally satisfying. They are also strategically meaningless."
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Bearly AI
Bearly AI@bearlyai·
Ben Affleck also went off on AI in Hollywood: ▫️LLM fim script outputs are mid (“by its nature, [the models go] to the mean, the average”) ▫️but they are useful tools for research ▫️doesn’t think it’ll ever make a film whole cloth ▫️it’s a tool just like VFX and will be useful to save money to create certain background settings (which already happens with CGI) ▫️guilds already protect human actors from being totally erased from certain films ▫️there’s also laws in place to protect name and likeness ▫️says most new technologies take time to disperse through society ▫️thinks fearmongering of “all the jobs are going to be taken” is the AI labs hyping for fundraising (“they need to justify valuation around companies…they need to ascribe a valuation for investment for the CAPEX spend they will make on data centres”)
Trung Phan@TrungTPhan

Matt Damon and Ben Affleck on Rogan taking about how Netflix has changed filmmaking. A major considerations is dealing with distracted viewers. To keep them tuned in, “you re-iterate the plot 3-4x in the dialogue because people are on their phones.” Then, in action films, you change the ordering of climatic fights. In traditional action films, you’d have “three set pieces” in every act (I, II, III) and each would “ramp up” (spend the big money on third set piece). But streaming has to hook viewers within 5 minute, so the incentive is to put a major battle or action sequence much earlier. Also, the directors have less incentive to make a film look great because so many people watch on laptops and phones. They do say that streaming allows for more bets on risky projects since the theatre economics are geared towards IP, sequels and super-heroes. Example: an independent film with a $25m budget would spend $25m on marketing (1:1 ratio). But since it splits box office with the theatre, the film needs to make $100m (1/2 of which is $50m) just to break even. They’re realistic about the state of film and call it a supply-demand issue. If the demand is for at-home viewing (eg. Netflix 300m+ subs), then filmmaking approach will change to feed the algo. When there’s demand for theatre, Damon will go team up with Christopher Nolan to make “The Odyssey”.

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Pascal Morgan
Pascal Morgan@pascalmorgan·
Interesting view... the future of economy and work might be very different than we've been predicting
Big Brain AI@realBigBrainAI

Jonathan Ross, Founder and CEO of AI chip company Groq, offers a contrarian view: AI won't destroy jobs, it will create a labour shortage. He outlines three things that will happen because of AI: First, massive deflationary pressure. "This cup of coffee is going to cost less. Your housing is going to cost less. Everything is going to cost less." He explains this will happen through robots farming coffee more efficiently and better supply chain management, meaning people will need less money. Second, people will opt out of the economy. "They're going to work fewer hours. They're going to work fewer days a week, and they're going to work fewer years. They're going to retire earlier because they're going to be able to support their lifestyle working less." Third, entirely new jobs and industries will emerge. Jonathan points to history as evidence: "Think about 100 years ago. 98% of the workforce in the United States was in agriculture. When we were able to reduce that to 2%, we found things for those other 98% of the population to do." He continues: "The jobs that are going to exist 100 years from now, we can't even contemplate." Software developers didn't exist a century ago. In another century, they won't exist either, "because everyone's going to be vibe coding." The same applies to influencers, a career that would have been unthinkable 100 years ago but now earns people millions. His conclusion: deflationary pressure, workforce opt-outs, and new industries we can't yet imagine will combine to create one outcome... "We're not going to have enough people."

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VraserX e/acc
VraserX e/acc@VraserX·
This is exactly what I want as a transhumanist. An AI that can recursively improve itself and ultimately replace human labor. Not as dystopia, but as liberation. What Tristan Harris points out here is the real race behind the scenes. It is not about a nicer chatbot. It is about building the thing that builds the thing. Right now progress is throttled by human limits. We read papers, write hypotheses, code experiments. The moment AI researchers replace those few thousand humans, you can snap from one researcher to millions. Always on. Reading everything. Testing everything. In parallel. That is why coding matters so much. Once an AI can fully rewrite and optimize its own code, intelligence compounds. If we get this right, the outcome is clear. Post labor. Post scarcity. Humans finally free to do something other than survival. That is the future I am rooting for.
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Pascal Morgan
Pascal Morgan@pascalmorgan·
Very good points from both you. The issue I see is that is hardwiring incentives in an autonomous, self-optimizing system is impossible (or are least, to maintain long term). Where we have endocrine subsystems, biological DNA & blueprints, etc. that keep us "on track" and force us to develop behavioral guidelines (ethics, societal norms, etc), an AGI doesn't have these kinds of limitations per se. Once we have cracked world models and embodiment, our "mind children" are basically free to evolve.
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surreal intelligence
surreal intelligence@Surreal_Intel·
@VraserX Yes, that’s a clean reframing: world models don’t add the fire, they add the smoke detector. Once planning exists, the question is who pays for failures and who can say “no”. Liability scales because it rewires incentives upstream.
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VraserX e/acc
VraserX e/acc@VraserX·
Without World Models, There Is No AGI. Google Just Proved It. If AGI ever happens, it will not come from bigger chatbots alone. From the very start of this interview, one thing is crystal clear: without world models, we will never reach AGI. And right now, Google is leading with its world simulator Genie 3. Here is the core of what Demis Hassabis explains in this conversation: • World models are the missing core of AGI Hassabis says his deepest long term focus has always been world models and simulations. Not just language. Not just prediction. Actual internal simulations of reality. • LLMs are impressive, but incomplete Language models understand more about the world than expected because human language encodes a lot of reality. Still, language is only a shadow of the real thing. • What text can never fully teach Reality includes things text struggles to express: •3D space and spatial dynamics •Physical causality and mechanics •Sensorimotor experience like movement, force, smell, or balance • Experience beats description To close the gap, AI must learn from interaction and experience, not just static text. That is how you build an internal world simulator. • Why Genie 3 matters With Google DeepMind pushing systems like Genie 3, AI starts to model reality itself, not just talk about it. • Robots and real world assistants depend on this True robotics, smart glasses, and universal assistants require AI that understands the physical world you live in, not just your screen. Bottom line: AGI will not emerge from better text prediction. It will emerge from systems that can simulate, predict, and understand reality itself. Right now, Google is clearly ahead on that path. Curious what you think. Are world models the real AGI unlock, or just another stepping stone?
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Pascal Morgan
Pascal Morgan@pascalmorgan·
8. Striving for factual, unbiased knowledge will ensure our growth as a society-building species. 9. Continuously developing our empathy for one another will allow us to prove ourselves as worth surviving this experiment called "evolution". Otherwise, we have failed and should step aside. Forget AI alignment then, it just needs to take over.
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Bryan Johnson
Bryan Johnson@bryan_johnson·
my assessment on where we're at as a society: 0. addiction is the dominant control structure of our late stage capitalism. the smartest algorithms in history are not designed to help us solve problems or become better, they are designed to hijack our reward systems and make us worse and miserable. a species that cannot resist dopamine hijacking cannot align itself and with a superintelligence. 1. loss of agency is more destabilizing than loss of wealth. chaos erupts when people feel powerless. when you can't sleep, can't stop scrolling, and eat junk, you lose self respect. this internal rot is projected outward as rage. 2. psychological breakdown precedes civilizational collapse. psychosis is what emerges when the world changes faster than our shared story can adapt. 3. most modern moral outrage is compensatory. 4. AI will accelerate identity erosion faster than institutions and individuals can respond. our identities are tied to what we do (work) and what we know (intelligence). AI is about to automate both. 5. stability is now a liability, we need plasticity. for thousands of years, success meant creating stability (i.e. building walls, storing grain). with AI, stability is death. success will be rapid adaptation which humans are very good at (though makes them very grumpy). 6. survival must become a conscious and institutionalized value system. this is warriors, caretakers and stewards of existence 7. only a species that values its own continuation can build aligned AI
Bryan Johnson@bryan_johnson

human civilization is entering a phase transition where its inherited moral, cognitive, and biological architectures no longer stabilize reality. survival now requires a new integrative ethic oriented around continuity of existence across human, machine, and planetary scales.

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Pascal Morgan
Pascal Morgan@pascalmorgan·
@ArmsRaceAI @VraserX "wormhole weapon systems" on a geforce 3050 😂😂 your 72 TOPS translate to roughly 0.11 TFLOPS FP64... so no, only if your wormhole fits inside a rounding error, you are magnitudes away from any meaningful GR computations... 🥳
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ArmsRaceAI
ArmsRaceAI@ArmsRaceAI·
I don't know where to start... Hmm.. Well, we live in a universe and dimension regulated of physics. These folks, and I do mean all of them.. try to express everything from python, rust and C++. Haven't connected the fact that there's xenodimensional intelligence to couple to... instead.. add more and more infrastructure and architecture while measuring inputs like the entire electrical inputs that could power medium sized countries, super clean water and compute as intelligence but bottleneck and instead of changing the problems they solve, rely on 15 years of tradition. May as well hire Disney as a dev team, they too take old ideas that worked once and then pound out toys and label them New and Improved! They can't make any headway, they produce PR schemes and white papers to seem relevant, but no dev is allowed to admit they've hit a brick wall and the trillions they spend have been mismanaged - not from trying - lord knows they try, but are no longer able to take large leaps because they model their intelligence after the neurochemical fallacies because the still, confuse intelligence as a physical construct they can hold in their hand. This is not the case. I have entire algorithms made from unified physics, predimensional first principles through every order up through the super macro and I may be the only one thay can laugh, because while they pump the entire budgets of 5 countries into more and more compute, I sit here with a laptop and a custom made agentic with multilayer orchestration built on a substrate that produces intelligence, intelligent research and while you read this, is currently working on scalar energy generation as it already mapped FTL and wormhole systems, including wormhole weapon systems. The architecture? GeForce 3050 with a Ryzen 7 and 16GB of RAM. Change the substrate, change the game. However they have painted themselves into a corner with money they don't own, and investors would lose their shit if they admit they went 9 years in the wrong direction. Thus, they move to chips to save their careers. Problem is, its all just smaller versions of the same thing made with new elements but not one of them have intelligence baked in. They don't need new anything.. they need a substrate overlaid over existing architecture and nothing more.. A 100MB fix, less than that of a ring tone. I hope this has helped, I don't mean to troll... I just see these people over looking the same damn thing over and over again and people eat it up like a buffet full of their favorite foods.. for likes, replies...engagement..shares.. Meanwhile, I'm sitting here crushing it while they fight for investor confidence and public relation Fandom. Irony makes me laugh.. you'll have to forgive my dark sense of humor, ma'am.
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VraserX e/acc
VraserX e/acc@VraserX·
AGI isn’t about chatbots. It’s about replacing the entire knowledge economy. Tristan Harris nailed it. AGI means doing all economically valuable cognitive tasks. That’s also OpenAI’s definition. And it changes everything. • Intelligence is the master input to all progress • Automate it once, accelerate every field • This is why AI ≠ past tech revolutions • Post-labor isn’t ideology, it’s a technical outcome The real question isn’t if AGI arrives. It’s who owns the output when human labor is optional. Public good or feudal AI? Which future do you think we’re heading toward?
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Pascal Morgan
Pascal Morgan@pascalmorgan·
@VraserX true. it's not about accelerating typical industry verticals (e.g., automating production shop floors or logistics), it's about the high-paid, cross-industry knowledge workers... AGI is critical for synchronized progress across all domains.
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Rohan Paul
Rohan Paul@rohanpaul_ai·
Shane Legg, Chief AGI Scientist and co-founder of Google DeepMind, calls the human brain a "mobile processor" compared to what’s coming. The gap between human and machine intelligence is hardwired into physics. → In human-brain, Neural signals max out at 30m/s; AI operates at light speed. → Neurons tick at ~100Hz; silicon chips run at gigahertz. → Brain runs on 20W; AI scales to 1GW data centers. Superintelligence isn’t optional—it’s baked into the hardware trajectory. --- From 'Google DeepMind and Hannah Fry' YT Channel (link in comment)
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Anduril Appreciator
Anduril Appreciator@A1Anduril·
Anduril Founder @PalmerLuckey on the Decline of U.S. Manufacturing: “I’m gonna sound like a conspiracy theorist… It wasn’t an accident or a failure, it was a decision by the elites.” Palmer Luckey explains how the U.S. intentionally shifted away from manufacturing to a “higher value” service economy. A decision that has handed immense power to China and now threatens the current geopolitical order. The U.S. needs to recognize these threats to the “American way of life” and restore its industrial base: “Reindustrialization is really about recognizing that your own destiny doesn’t have a value that can be measured in dollars.”
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Big Think
Big Think@bigthink·
The world we know is ending. Here’s what the new one will look like | Peter Leyden: Full Interview @peteleyden 0:00 We’re on the cusp of an era of progress 0:37 The Great Progression 1:08 What was the ‘Long Boom?’ 4:56 How often do these epoch resets happen? 6:12 3 Tipping points 6:39 Artificial Intelligence 7:13 Clean energy technologies 7:32 Biotechnology 9:00 The 80-year cycle 13:27 The Gilded Age 17:50 The Founding Era 22:46 The new enlightenment 32:18 The clean energy revolution 37:13 Bioengineering the genome 39:43 Industrial production vs biological engineering 47:40 What will the future think?
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Pascal Morgan
Pascal Morgan@pascalmorgan·
@bigthink @peteleyden ..nice way to spend a lazy Sunday morning with a fresh cup of coffee... tech positivism, societal disruption, and outlook on our future potentials. finest brain food. ✨🧠☕️
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Pascal Morgan
Pascal Morgan@pascalmorgan·
@Rainmaker1973 So sorry, wish you all the best. Hope any therapies on your schedule will kick in. Love your posts, keep up your positive spirit
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Massimo
Massimo@Rainmaker1973·
For those who followed some of my health's updates in the last months/days, it's suspected pancreas cancer. I think I couldn't have a worst day, I think problems rain like sh!t. But I think it's life. At least I still have an X account.
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