mx_twit

1.3K posts

mx_twit

mx_twit

@mx_twit

here for bad memes and super hyped tech.

MUC Katılım Mayıs 2023
7.5K Takip Edilen226 Takipçiler
Emanuel Boeminghaus
Emanuel Boeminghaus@E_Boeminghaus·
Das Problem eskaliert. Schnell! Sehr schnell!
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mx_twit
mx_twit@mx_twit·
@E_Boeminghaus echte KI wollen die deutschen Unternehmen doch gar nicht machen, da viel zu kapitalintensiv und risikoreich. Prompten können die Studies in der Regel sehr gut, sonst hätte wohl der ein oder andere auch den Abschluss nicht geschafft.
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Emanuel Boeminghaus
Emanuel Boeminghaus@E_Boeminghaus·
Deutschland produziert Akademiker am Fließband und findet angeblich trotzdem keine Fachkräfte mehr. Jetzt trifft die KI Welle genau jene, die glaubten auf der sicheren Seite zu stehen. Die KI kommt genau jetzt. Nicht in ein paar Jahren. Sie kommt jetzt und man kann es in den USA bereits sehen am Arbeitsmarkt und bei uns Ende des Jahres auch. Es wird brutal. #Arbeitsmarkt #KI #Rezession #Tagesschau Realitätscheck: Immer mehr Akademiker finden trotz Studium keinen Job mehr. Besonders in der IT Branche verändern sich die Anforderungen durch Künstliche Intelligenz innerhalb weniger Monate. Unternehmen suchen Spezialisten mit praktischer KI Erfahrung und sortieren klassische Lebensläufe zunehmend aus. Systemversagen: Hochschulen reagieren viel zu langsam auf den technologischen Wandel. Während Firmen dringend moderne Fachkräfte benötigen, werden Studenten oft noch mit veralteten Inhalten ausgebildet. Gleichzeitig wandern immer mehr Jobs ins Ausland oder werden durch Automatisierung ersetzt. Deutschland steuert mit voller Geschwindigkeit in eine historische Fehlqualifizierung der eigenen Bevölkerung. Vielen Dank für den wichtigen Hinweis! Quelle: (Tagesschau) tagesschau.de/wirtschaft/arb…
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mx_twit
mx_twit@mx_twit·
@E_Boeminghaus sieht nach einem stark LiDAR basierten Ansatz aus. Ich denke die Verantwortlichen haben jetzt erkannt, dass der Marktführer in Austin mit vision-only und viel Rechenleistung wesentlich besser fährt.
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Emanuel Boeminghaus
Emanuel Boeminghaus@E_Boeminghaus·
Neues vom ElbElend - Benteler bremst sein Prestigeprojekt Holon aus. Selbst beim autonomen Fahren verliert Deutschland den Anschluss. #Benteler #Holon #Paderborn #Industrie Zukunftsprojekt wackelt: Bei Holon könnten nach WDR Informationen bis zu 40 Prozent der Stellen wegfallen. Rund 300 Menschen arbeiten an dem Projekt, fast alle in Paderborn. Ausgerechnet ein hochinnovatives deutsches Projekt für autonom fahrende Shuttle Busse muss jetzt Kosten senken. Deutschland verliert Zukunft: Die Nachfrage bleibt offenbar hinter den Erwartungen zurück, die Serienproduktion soll später kommen und die IG Metall warnt bereits davor, dass solches Know How künftig vor allem in China entwickelt wird. Genau so sieht der schleichende Abstieg eines Industriestandorts aus. Wer Zukunftstechnologien ausbremst, darf sich später nicht wundern, wenn andere Länder die Märkte beherrschen. Vielen Dank für den wichtigen Hinweis! Quelle: WDR www1.wdr.de/nrw/ostwestfal…
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mx_twit@mx_twit·
@aktienmessie @Rabbi_Weishaupt exakt, pures Wunschdenken! Die Deindustrialisierung in England hat auch keinen neuen Handwerksadel hervorgebracht. Schon länger gehen die fleißigen polnischen Handwerker lieber zurück in ihr Heimatland.
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mx_twit
mx_twit@mx_twit·
@Lukasrng @SBetschinger dazu kommt noch, dass Handwerk quasi nur die Binnennachfrage bedient. Kein Geld bei Kommunen u. Industrie, das heißt dann auch keine Aufträge für das Handwerk.
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lng
lng@Lukasrng·
@SBetschinger Falsch! In den letzten Jahren hört man das Argument immer wieder. Da ist Angebot und Nachfrage. Wenn mehr Menschen ins Handwerk wechseln unterbieten sich alle. Es wird mehr Handwerker geben als Nötig. Ich seh da ne andere These in den nächsten Jahren.
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Simon Betschinger
Simon Betschinger@SBetschinger·
Handwerker sind die neuen Informatiker! WELT: "Durch KI befindet sich die Arbeitswelt in einem fundamentalen Wandel. Ein heimlicher Profiteur ist das Handwerk, das von neuer Auftragslage profitiert und als schwer zu ersetzen gilt." In 5 Jahren wird ein guter Handwerker mehr Geld verdienen als ein Informatiker. Ein selbstständiger Handwerker mit zwei bis fünf Mitarbeitern, der zielstrebig und strebsam ist, kann nach einigen Jahren harter Arbeit Millionär werden. Fleiß und Geschick werden belohnt.
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TW 🇪🇺
TW 🇪🇺@motihari1903go·
Reden wir darüber, warum sämtliche staatliche Maßnahmen zur Sprachförderung zu spät kommen: 🧵 Durch Zwillingsstudien ist nachgewiesen: 1/4 - 1/3 der Entwicklung sprachlicher Fähigkeiten ist genetisch bedingt. Der Großteil ist Resultat (mangelnder) Förderung. Dabei gilt: 1/7
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Gary Marcus
Gary Marcus@GaryMarcus·
“If you want to know whether the AI bubble is bursting, there’s only one publicly traded company that will tell you: Oracle…” “Oracle has the lowest credit rating. It also has the greatest debt load, even before the infrastructure buildout came into play…” “OpenAI… is by far the biggest customer represented in Oracle’s remaining performance obligations (RPOs), which represent how much money Oracle is slated to earn from its existing contracts. Of the $553 billion in RPOs that Oracle reported in its most recent earnings release, more than $300 billion is OpenAI” And OpenAI is facing severe headwinds. “What happens to Oracle if OpenAI shits the bed? One possibility is that it sacrifices its software stock premium and gets priced like a utility, … and fades in significance … It’s not impossible that [Oracle] goes bankrupt” And of course it’s not impossible that Ellison’s buddy in the White House might make the rest of us bail it out. Must read piece by @mslopatto @verge lays out why Oracle is is overextended, and why it might augur the deflation of an AI bubble. theverge.com/ai-artificial-…
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Deedy
Deedy@deedydas·
The creators of SWE-Bench just dropped a really simple new benchmark every LLM gets 0% on. ProgramBench asks: can models recreate real executable programs (ffmpeg, SQLite, ripgrep) from scratch with no internet? We are far from saturated on model quality.
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Brett
Brett@BrettFromDJ·
“Non-technical teams are now shipping production code…” That sounds awful reckless for a platform where people’s life savings are on the line.
Brian Armstrong@brian_armstrong

This is an email I sent earlier today to all employees at Coinbase: Team, Today I’ve made the difficult decision to reduce the size of Coinbase by ~14%. I want to walk you through why we're doing this now, what it means for those affected, and how this positions us for the future. Why now Two forces are converging at the same time. We need to be front footed to respond to both. First, the market. Coinbase is well-capitalized, has diversified revenue streams, and is well-positioned to weather any storm. Crypto is also on the verge of the next wave of adoption, with stablecoins, prediction markets, tokenization, and more taking off. However, our business is still volatile from quarter to quarter. While we've managed through that cyclicality many times before and come out stronger on the other side, we’re currently in a down market and need to adjust our cost structure now so that we emerge from this period leaner, faster, and more efficient for our next phase of growth. Second, AI is changing how we work. Over the past year, I’ve watched engineers use AI to ship in days what used to take a team weeks. Non-technical teams are now shipping production code and many of our workflows are being automated. The pace of what's possible with a small, focused team has changed dramatically, and it's accelerating every day. All of this has led us to an inflection point, not just for Coinbase, but for every company. The biggest risk now is not taking action. We are adjusting early and deliberately to rebuild Coinbase to be lean, fast, and AI-native. We need to return to the speed and focus of our startup founding, with AI at our core. What this means To get there, we are not just reducing headcount and cutting costs, we’re fundamentally changing how we operate: rebuilding Coinbase as an intelligence, with humans around the edge aligning it. What does this mean in practice? - Fewer layers, faster decisions: We are flattening our org structure to 5 layers max below CEO/COO. Layers slow things down and create coordination tax. The future is small, high context teams that can move quickly. Leaders will own much more, with as many as 15+ direct reports. Fewer layers also means a leaner cost structure that is built to perform through all market cycles. - No pure managers: Every leader at Coinbase must also be a strong and active individual contributor. Managers should be like player-coaches, getting their hands dirty alongside their teams. - AI-native pods: We’ll be concentrating around AI-native talent who can manage fleets of agents to drive outsized impact. We’ll also be experimenting with reduced pod sizes, including “one person teams” with engineers, designers, and product managers all in one role. In short: AI is bringing a profound shift in how companies operate, and we’re reshaping Coinbase to lead in this new era. This is a new way of working, and we need to leverage AI across every facet of our jobs. To those who are affected I know there are real people behind these decisions — talented colleagues who have poured themselves into this company and our mission. To those of you who will be leaving: thank you. You’ve helped build Coinbase into what it is today, and I am sincerely grateful for everything you've done. All impacted team members will receive an email to their personal account in the next hour with more information, and an invitation to meet with an HRBP and a senior leader in your organization. Coinbase system access has been removed today. I know this feels sudden and harsh, but it is the only responsible choice given our duty to protect customer information. To those affected, we will be providing a comprehensive package to support you through this transition. US employees will receive a minimum of 16 weeks base pay (plus 2 weeks per year worked), their next equity vest, and 6 months of COBRA. Employees on a work visa will get extra transition support. Those outside of the US will receive similar support, based on local factors and subject to any consultation requirements. Coinbase prides itself on talent density. Our employees are among the most talented people in the world, and I have no doubt that your skills and experience will be highly sought after as you pursue your next chapters. How we move forward To the team that is staying, I know this is a difficult day. We’re saying goodbye to colleagues and friends you've been in the trenches with. But here’s what I want you to know as we move forward together: Over the past 13 years, we have weathered four crypto winters, gone public, and built the most trusted platform in our industry. We’ve made it this far by making hard decisions and by always staying focused on our mission. This time will be no different – nothing has changed about the long term outlook of our company or industry. And most importantly, our mission has never been more important for the world. Increasing economic freedom requires a new financial system, and we’re building it. The Coinbase that emerges from this will be more capable than ever to achieve our mission. Brian

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GeniusThinking
GeniusThinking@GeniusGTX·
Marc Andreessen just revealed how Harvard Business School was built on a broken 1941 theory, and how it's now collapsing... Andreessen co-founded Netscape in 1994 and a16z in 2009. He has sat on Meta's board since 2008. He has spent 30 years backing founders and watching managerial CEOs lose to them. The pattern traces back to one book: James Burnham's *The Machiavellians* (1941). Burnham argued every great company had been founder-run. Henry Ford ran Ford. Bob Noyce ran Intel. Today, Elon Musk runs Tesla, SpaceX, and Starlink. Then, he said, something broke. Between the 1880s and the 1920s, a new philosophy replaced the founder. It was called managerialism. The professional manager would now hold a portable skill, usable across any business. The consequences were: - Harvard Business School - Stanford Business School - Management as a universal skill - The 1970s conglomerate "That assumes the managers are going to do a good job," Andreessen says. For 30 years, they haven't. Managers can run something static, he says. Soup is soup. A bank is a bank. A car is a car. But when the industry changes, the manager freezes. Look at SpaceX. "Imagine being a professionally trained manager, trained at a top management school, working for a rocket launch company, competing with SpaceX." Then Elon's rockets started landing on their butt. "Your management skills ... what good are they at that point?" Andreessen's conclusion: "You're much more likely to build something important in the 21st century if you start with the founder and train them on management." What "professionally run" institution in your life has quietly stopped working? If you're new here, @GeniusGTX is a gallery for the greatest minds in economics, psychology, and history. Follow along for more similar content. P.S. I made a free toolkit breaking down 100+ mental models used by history's greatest thinkers. 5,000+ downloads. 113 five-star reviews. Grab your free copy here: besuperhuman.gumroad.com/l/mentalmodels — Marc Andreessen ( @pmarca ), co-founder of a16z, on David Senra's ( @FoundersPodcast ) podcast
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snoopy jpg
snoopy jpg@snoopy_dot_jpg·
my own personal AGI moment arrived last week: gpt 5.5 completed our mandatory HR training videos for me, driving chrome via devtools opus 4.7 was a huge wuss about the whole thing and refused while aggressively lecturing me. i can understand why pete hegseth banned it
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David Bessis
David Bessis@davidbessis·
You really have to be an economist to believe that a mathematical proof can prove anything about the economy.
Elias Al@iam_elias1

Two economists just published a mathematical proof that AI will destroy the economy. Not might. Not could. Will — if nothing changes. The paper is called "The AI Layoff Trap." Published March 2, 2026. Wharton School, University of Pennsylvania. Boston University. Peer reviewed. Mathematically modeled. The conclusion is one sentence. "At the limit, firms automate their way to boundless productivity and zero demand." An economy that produces everything. And sells it to nobody. Here is how you get there. A company fires 500 workers and replaces them with AI. A competitor fires 700 to keep up. Another fires 1,000. Every company is behaving rationally. Every company is following the incentives correctly. And every company is building a trap for itself. Because the workers who were fired were also customers. When they lose their jobs faster than the economy can absorb them, they stop spending. Consumer demand falls. Companies respond by cutting costs — which means automating more workers — which means less spending — which means more falling demand — which means more automation. The loop has no natural exit. The researchers tested every proposed solution. Universal basic income. Capital income taxes. Worker equity participation. Upskilling programs. Corporate coordination agreements. Every single one failed in the model. The only intervention that worked: a Pigouvian automation tax — a per-task levy charged every time a company replaces a human with AI, forcing them to price in the demand they are destroying before they pull the trigger. No government has implemented this. No major economy is seriously discussing it. Meanwhile the numbers are already tracking the curve. 100,000 tech workers laid off in 2025. 92,000 more in the first months of 2026. Jack Dorsey fired half of Block's workforce and said publicly: "Within the next year, the majority of companies will reach the same conclusion." Nobody is doing anything wrong. Companies are following their incentives perfectly. That is exactly the problem. Rational behavior. At scale. Simultaneously. With no mechanism to stop it. Two economists built the math. The math leads to one place. Source: Falk & Tsoukalas · Wharton School + Boston University · arxiv.org/pdf/2603.20617

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Hedgeye
Hedgeye@Hedgeye·
🚨 China's Real Estate Market has erased all gains from the last 20 years
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Quant Science
Quant Science@quantscience_·
The secret of hedge funds is revealed in a 41-page PDF: This paper analyzed 464 stocks that 10X-ed over a 24-year period. Here are the best factors that drive outperformance: (number 3 is the best 🧵)
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Dr. Julie Gurner
Dr. Julie Gurner@drgurner·
You have to be fine being utterly unrelatable, to achieve anything big in life... Walk through the fire. It's worth it. Read more on experience of being unrelatable, and how some of the very successful experience it, cope with it, and direct it: drgurner.substack.com/p/you-are-unre…
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