Green Orange (@greenorange) header
Green Orange (@greenorange) profile picture
Stockholm, Sweden
Joined September 2013
Photo by Green Orange (@greenorange)Photo by Green Orange (@greenorange)Photo by Green Orange (@greenorange)Photo by Green Orange (@greenorange)Photo by Green Orange (@greenorange)Photo by Green Orange (@greenorange)Photo by Green Orange (@greenorange)Photo by Green Orange (@greenorange)Photo by Green Orange (@greenorange)
Green Orange retweeted
If low cortisol was a person.
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The Big Short was a great movie. But it is responsible for more people losing money in the market than any movie in history.
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That one friend who doesn’t get the assignment. 🤣😂
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Green Orange retweeted
🚨 THIS IS A PUBLIC SERVICE ANNOUNCEMENT🚨
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Green Orange retweeted
Just a friendly little robot…
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God morgon. AI-dystopi till frukost!
KPMG is laying off 10% of their audit partners. You might have missed the news amidst today’s announcement that Meta is also laying off 10% of their employees. I’ll be blunt: If you work in front of a computer, your job isn’t safe. It doesn’t matter how senior you are (KPMG’s partners literally own the company). Nor does it matter how good you are at your job (Meta’s engineers are among the best of the best in the tech industry). Your job is at risk, and it’s incumbent on you—and no one but yourself—to plan for what you do in your career to proactively manage that risk. Four reasons why this is happening: 1. Competition: AI is reducing barriers to entry across every industries, from professional services (such as the audit and advisory services provided by the likes of KPMG) to software and everything in between. Reduced barriers to entry mean increased competition, which means lower pricing power, margin compression, and pressure to reduce costs—especially fixed costs such as labor, which is the number one expense for most white-collar businesses. 2. Need to Invest: As incumbents face increased competition from new entrants to their market and from substitute products (e.g., vibe-coded homebrew SaaS replacing expensive vertical SaaS products that previously enjoyed virtual monopolies within their respective target markets), they are forced to make sizable investments in technology to remain competitive. In the case of professional services companies, this means large investments in proprietary software (all of the Big Four firms are investing billions in new technology right now); for big tech companies, this means tens of billions of dollars going into data centers and physical infrastructure. Essentially, capex and opex are in the middle of a zero-sum battle in corporate budgets. As companies face the need to invest more in capex and R&D—and as capital markets become increasingly averse to providing them additional liquidity to fund it, out of concerns that the ROIC on said capex will not be accretive to earnings—opex is cannibalized to fund capex. And, again, the primary lever CFOs in white-collar companies have to instantly reduce opex is layoffs. 3. Automation: These competitive pressures are compounded by AI rapidly automating work faster than incremental revenue is able to be generated. In other words, workers are being made redundant faster than companies are able to come up with the new business that might otherwise save those jobs. Some in the tech industry (people far smarter than me, I will add) conjecture that, on a net basis, AI will create more jobs than it will destroy, due to an AI-facilitated period of hypergrowth and a corresponding boom in corporate earnings. But with every company I advise, across the worlds of startups, SMBs, and large industrial companies, I’m simply not seeing that yet, and I don’t know anyone who is. 4. It might feel like ancient history at this point, but many companies are still dealing with the excesses of the Covid-era labor market. Money was loose, talent was in short supply, and software companies, financial services firms, and professional services companies hired too many people too fast, with standards that were too low. They’ve made significantly progress in right-sizing their workforces over the past couple years (return-to-office mandates, for example, have essentially created “soft layoffs” at many large companies), but much work still remains. If you’re picturing your career and your company as you read these words, I can’t emphasize it enough: Plan ahead. Build a network of people outside your company who would want to work with you if your current job were made redundant. Think about businesses you might want to start (it’s a lot easier to keep your job if no one but your customers can terminate you). Set money aside. Be proactive, not reactive. Be a predator, not the prey. Because these trends are inexorable, they’re unstoppable, and, chances are, they’re coming for all of us. Start planning. And start planning now.
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Lång väg kvar på AI-börs-haussen!? Historisk och kreativ jämförelse från @bespokeinvest
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Green Orange retweeted
My parents are still mad at me for telling them to buy Bitcoin at $126,000
Readers added context they thought people might want to know
It’s a stolen post and shouldn’t be monetized x.com/gainzfeldt/sta…
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-74% of all insulin used in America comes from Denmark. -100% of all Ozempic used in America comes from Denmark -15% of all shipping containers arriving in America come from a Danish company All 3 are being discussed within Denmark to halt.
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Green Orange retweeted
Bit of a shocker really - Verge Motorcycles Finland is now taking 1Q26 orders for a bike with the Donut Lab solid state battery. I know there have been many vague announcements - but there now is a vehicle for sale with such a product in 11 weeks. Finns are living in 2035.
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The sixth mass extinction is happening. In 2025, the Colossal Foundation chose action, launching real projects, new partnerships, and de-extinction science in the field. See why hope is real. Download the 2025 Impact Report: colossalfoundation.org/proje…
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Donald Trump wants to know why we are not attracting immigrants from Norway and Sweden. How out of touch is he? Murder Rate (2023) 🇺🇸 USA: 5.76 🇳🇴 Norway: 0.72 🇸🇪 Sweden: 1.15 Leading Cause of Death for Minors 🇺🇸 USA: Firearm injuries 🇳🇴 Norway: Transport accidents 🇸🇪 Sweden: Transport accidents Paid Parental Leave 🇺🇸 USA: 0 weeks paid 🇳🇴 Norway: 49–59 weeks paid 🇸🇪 Sweden: 68 weeks paid Healthcare Cost per person (2023) 🇺🇸 USA: $13,432 🇳🇴 Norway: $8,393 🇸🇪 Sweden: $6,871 Life Expectancy 🇺🇸 USA: 78.4 years 🇳🇴 Norway: 83.3 years 🇸🇪 Sweden: 83.4 years Obesity Rate 🇺🇸 USA: 42.9% 🇳🇴 Norway: 19.8% 🇸🇪 Sweden: 16.4% Union Membership 🇺🇸 USA: 10.1% 🇳🇴 Norway: 49.2% 🇸🇪 Sweden: 68.0% Homeless Rate (per 100,000) 🇺🇸 USA: 196 🇳🇴 Norway: 62 🇸🇪 Sweden: 159 Incarceration Rate (per 100,000) 🇺🇸 USA: 531 🇳🇴 Norway: 55 🇸🇪 Sweden: 96 Recidivism Rate (3-year) 🇺🇸 USA: 68% 🇳🇴 Norway: 25% 🇸🇪 Sweden: 40% Air Quality (PM2.5, lower is better) 🇺🇸 USA: 9.1 🇳🇴 Norway: 4.9 🇸🇪 Sweden: 4.9 Income Inequality (Gini) lower is better 🇺🇸 USA: 41.5 🇳🇴 Norway: 27.6 🇸🇪 Sweden: 30.0 Happiness Score (2025) 🇺🇸 USA: 6.73 🇳🇴 Norway: 7.30 🇸🇪 Sweden: 7.34 Firearm Homicide Rate 🇺🇸 USA: 4.5 🇳🇴 Norway: 0.06 🇸🇪 Sweden: 0.30 Social Mobility (out of 100) 🇺🇸 USA: 70.4 🇳🇴 Norway: 83.3 🇸🇪 Sweden: 77.6
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Green Orange retweeted
That's something you don't see every day! The world’s largest aircraft carrier, 🇺🇸 USS Gerald R. Ford, sailing in the Oslofjord 🇳🇴
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Green Orange retweeted
Some people today are discouraging others from learning programming on the grounds AI will automate it. This advice will be seen as some of the worst career advice ever given. I disagree with the Turing Award and Nobel prize winner who wrote, “It is far more likely that the programming occupation will become extinct [...] than that it will become all-powerful. More and more, computers will program themselves.”​ Statements discouraging people from learning to code are harmful! In the 1960s, when programming moved from punchcards (where a programmer had to laboriously make holes in physical cards to write code character by character) to keyboards with terminals, programming became easier. And that made it a better time than before to begin programming. Yet it was in this era that Nobel laureate Herb Simon wrote the words quoted in the first paragraph. Today’s arguments not to learn to code continue to echo his comment. As coding becomes easier, more people should code, not fewer! Over the past few decades, as programming has moved from assembly language to higher-level languages like C, from desktop to cloud, from raw text editors to IDEs to AI assisted coding where sometimes one barely even looks at the generated code (which some coders recently started to call vibe coding), it is getting easier with each step. I wrote previously that I see tech-savvy people coordinating AI tools to move toward being 10x professionals — individuals who have 10 times the impact of the average person in their field. I am increasingly convinced that the best way for many people to accomplish this is not to be just consumers of AI applications, but to learn enough coding to use AI-assisted coding tools effectively. One question I’m asked most often is what someone should do who is worried about job displacement by AI. My answer is: Learn about AI and take control of it, because one of the most important skills in the future will be the ability to tell a computer exactly what you want, so it can do that for you. Coding (or getting AI to code for you) is a great way to do that. When I was working on the course Generative AI for Everyone and needed to generate AI artwork for the background images, I worked with a collaborator who had studied art history and knew the language of art. He prompted Midjourney with terminology based on the historical style, palette, artist inspiration and so on — using the language of art — to get the result he wanted. I didn’t know this language, and my paltry attempts at prompting could not deliver as effective a result. Similarly, scientists, analysts, marketers, recruiters, and people of a wide range of professions who understand the language of software through their knowledge of coding can tell an LLM or an AI-enabled IDE what they want much more precisely, and get much better results. As these tools are continuing to make coding easier, this is the best time yet to learn to code, to learn the language of software, and learn to make computers do exactly what you want them to do. [Original text: deeplearning.ai/the-batch/is… ]
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Green Orange retweeted
New York, New York.
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Tänkvärt från Nordeas morgonbrev idag!
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Green Orange retweeted
A distinct win for Putin 🇷🇺. He didn’t yield an inch. A distinct setback for Trump 🇺🇸. No ceasefire in sight. And no one knows where 🇺🇸 policy is heading in next weeks. What the world sees is a weak and wobbling America.
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Green Orange retweeted
😂
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Börsernas klassiska öppettider kan snart vara ett minne blott. Nasdaq och NYSE planerar att kraftigt förlänga handeln, med målet om dygnet-runt-öppning redan nästa år. omniekonomi.se/nattliga-bors…
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