Posts with #problems

#problems

Public posts on X that use #problems.

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  1. Shane Parrish✓@shaneparrish
    ADHD is a superpower. "The problem isn't that I can't focus; it's that I can't focus on stuff I don't care about." "On stuff I care about, I can lock in and you’re not going to find me for months." So if you have ADHD ... "The first thing you have to do is reframe the task to find the autonomy."
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    Shane Parrish @shaneparrish
    My conversation with @steven_kotler on flow, cognitive performance, and doing your best work. Kotler is the executive director of the Flow Research Collective, where he studies flow and the science of peak performance. In this episode, you’ll learn: • How to get so absorbed in what you’re doing that distractions fade. • How to find a challenge that holds your attention without overwhelming you. • Why a hobby you gave up might be worth picking up again. • What frustration tells you when you’re learning and how to respond. • How to focus on work you don’t feel like doing. • How to think clearly when there’s too much information, and you’re unsure what to trust. Listen and Learn (Includes paid partnerships.)
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  2. Shane Parrish✓@shaneparrish
    My conversation with @steven_kotler on flow, cognitive performance, and doing your best work. Kotler is the executive director of the Flow Research Collective, where he studies flow and the science of peak performance. In this episode, you’ll learn: • How to get so absorbed in what you’re doing that distractions fade. • How to find a challenge that holds your attention without overwhelming you. • Why a hobby you gave up might be worth picking up again. • What frustration tells you when you’re learning and how to respond. • How to focus on work you don’t feel like doing. • How to think clearly when there’s too much information, and you’re unsure what to trust. Listen and Learn (Includes paid partnerships.)
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    2643339216K
  3. Ice Universe✓@UniverseIce
    The problem appears serious and could even escalate into a recall.
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    Ice Universe @UniverseIce
    iPhone Duo screen frequent problems may be the root cause of this.
    4581.5K16.7K1.2M
  4. Ice Universe✓@UniverseIce
    iPhone Duo screen frequent problems may be the root cause of this.
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    1001302.3K1.3M
  5. Raman Kaur@RamanKaur853008
    जीवन उतार-चढ़ाव से भरी सड़क की तरह है। अच्छे का जश्न मनाएं और बुरे का सामना आगे बढ़ने के अवसर के रूप में करें। Saint MSG सिखाते हैं कि ध्यान और भक्ति आत्मविश्वास और आंतरिक शक्ति के निर्माण की कुंजी हैं। #PositiveVibes #LifeLessons #Problems #Life #StayPositive
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  6. The Macro Paper✓@macropaperr
    🚨 CHINA IS FACING A GENERATIONAL CRISIS, AND THE NUMBERS ARE ABSOLUTELY TERRIFYING. China's economy is struggling so badly that millions of young people are finding it almost impossible to build a stable future. According to The Wall Street Journal, a generation that grew up believing hard work guaranteed success is now facing unemployment, layoffs, falling wages and growing financial pressure. And the numbers are shocking. • Youth unemployment among 16–24 year olds has reached nearly 19%, almost double the U.S. rate of 9%. • Unemployment among 25–29 year olds stands at 7.5%, compared with China's overall rate of around 5%. • A record 12.7 MILLION students graduated from Chinese colleges this year, entering an already struggling job market. • China's urban employment is estimated to be 37 MILLION JOBS BELOW where it would have been if pre-pandemic job growth had continued. • One Chinese economist estimates that the country's broader unemployment rate could actually be around 10%, nearly double the official figure. But unemployment is only part of the problem. China's property market collapse has destroyed jobs in construction, real estate and related industries. Major technology companies, including Alibaba and ByteDance, have reportedly been cutting staff. And now AI is making the situation even worse. According to the WSJ, some of China's biggest employers privately estimated that AI could eliminate 30% OR MORE of their existing jobs. A study covering 700 MILLION job postings found that AI has hit hiring demand particularly hard for workers with just 1–3 years of experience. Even entry level jobs that once helped graduates start their careers are disappearing. Meanwhile, the number of Chinese workers in temporary and gig jobs is expected to jump from 280 MILLION in 2025 to 320 MILLION in 2026. That would represent more than 40% of urban employment. And the impact is already spreading beyond the job market. Young people are delaying marriage, avoiding having children and moving back in with their parents because they cannot afford to live independently. Some are even giving up on traditional careers altogether. China spent decades building an economy where each generation expected to become wealthier than the last. Now millions of young people are questioning whether years of education and hard work are even worth it. This is a serious problem for the world's second largest economy. Weak employment means weaker consumer spending, fewer families being formed and even more pressure on China's already struggling property market. The biggest danger for China isn't just slowing economic growth. It's an entire generation losing confidence in its economic future. And if millions of young people continue to struggle to find stable jobs, China's economic problems could become much harder to fix.
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    2105233.1K686K
  7. l@mumofTL
    @elonmusk
    @elonmusk regardez ce qu'il se passe sur votre réseau... des enfants se font 🟣 sur des videos en boucle ... faites quelque chose ça va pas du tout la .... #x #problems
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  8. Chambarising@NuttingOnElon77
    Why do i only see non programmers have a problem with AI being used in coding
    Bling @mrblingflam
    i got excited for a second
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  9. Bling@mrblingflam
    i got excited for a second
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  10. Lenny Rachitsky✓@lennysan
    My biggest takeaways from Rob Snyder, author of The Power of Pull: 1. Solving a pain point isn’t enough to get people to buy your product. Rob’s first startup checked all the classic boxes: hair-on-fire problem, a differentiated solution, and design partners using it daily. Yet he still spent two years pivoting aimlessly. Every prospect agreed it solved real problems, but none bought. 2. Rob’s "PULL" framework identifies four conditions that drive a buying decision: The buyer has a Project on their to-do list, and a reason it’s Unavoidable right now. They also have a List of options they’ve considered, each with Limitations that leave them stuck. That person is a “coiled spring,” desperate to find a product to buy. 3. The right cold outreach message needs to be interesting, not persuasive. Its only job is to get someone to take the call. Rob calls this “founder magic” outreach. One startup’s entire message was: “Hey, Snoop Dogg invested in us, and I thought you’d find it interesting too. Would you be open to chat?” No pain points, no value propositions, no personalization. Just something that gets a conversation. Rob’s LinkedIn benchmarks are 20 requests a day, 30% to 40% accepted, 30% to 50% of those replying, and most saying yes. 4. Design partners are a trap. Nearly every time, the partner buys into your vision, hands you a pile of feedback, and never buys. Then you realize “all of their feedback was just like them playing Steve Jobs.” The people who have something important to get done don’t want to be design partners. They just want it done. Offering a partnership is “a negative signal to people who actually have pull, and a positive signal to people who don’t.” 5. Pull belongs to a specific person, not to a company. A common founder mistake is to say “we sell to SpaceX” or “we sell to mid-market private equity firms.” In practice, you’re selling to the head of legal at SpaceX, who has a particular project on her to-do list she can’t solve with her current team. The company doesn’t have pull. She does. 6. The signal of real pull in a meeting isn’t just enthusiasm—it’s someone leaning in and asking how to move forward. “Wow, that’s amazing, totally the future of our industry, I can see how that would save us a ton of money” is not pull. That’s a polite exit. What Rob looks for is a “pull-shaped action”: “Wait, you can do that? How do we get started? Does the product exist yet?” Before the product even existed, someone in pharma told one founder, “If you can do that, I will pay you right now.” 7. Run the first sales call like a detective, not a pitcher. Rob’s opening question is always some version of “I’m sure you get a lot of people reaching out. Why did you take this call?” The best-case outcome: they fill out the PULL framework for you unprompted. They tell you exactly what they’re trying to do, why now, and what they’ve already tried. 8. When a call goes lukewarm, throw the Hail Mary. Ask, “Is there anything on your to-do list that you would pay me to do right now?” A team selling applicant tracking software to governments got a lukewarm reaction but then learned the buyer would pay for help with job descriptions. That became their first contract. When founders are truly stuck, Rob recommends going into “goblin mode,” a burst of slightly crazy effort to get in front of customers, like the founder whose parents went door to door to dental offices for him. 9. Rob calls "The Case Study Factory" his most important idea. The job is to find one type of customer who says 'hell yes' before and after buying, then repeat that success through pipeline, sales, and delivery. This customer forms your repeatable case study. A startup finds one repeatable case study and then repeats it a million times. To grow as fast as possible, borrow the theory of constraints from manufacturing: find the bottleneck in the process of repeating that case study and treat it as the only thing that matters until it’s fixed.
    Lenny Rachitsky @lennysan
    An 86-minute guide to finding product-market fit Rob Snyder (@RobSnyder1) is the author of The Power of Pull, has helped over 50 startups go from zero to $1M+ ARR, and is the most requested guest by my podcast listeners. We discuss: 🔸 The PULL framework for finding a customer who’s "weird not to buy" 🔸 Where the best startup ideas come from 🔸 The cold outreach message that gets calls 🔸 How to run your first sales call (and why he skips design partners) 🔸 The "Hail Mary" question and "goblin mode" Listen now 👇
    1076499288.5K
  11. Lenny Rachitsky✓@lennysan
    An 86-minute guide to finding product-market fit Rob Snyder (@RobSnyder1) is the author of The Power of Pull, has helped over 50 startups go from zero to $1M+ ARR, and is the most requested guest by my podcast listeners. We discuss: 🔸 The PULL framework for finding a customer who’s "weird not to buy" 🔸 Where the best startup ideas come from 🔸 The cold outreach message that gets calls 🔸 How to run your first sales call (and why he skips design partners) 🔸 The "Hail Mary" question and "goblin mode" Listen now 👇
    8537608231K
  12. Codie Sanchez✓@Codie_Sanchez
    All employees come in 5 levels, choose wisely: Level 1 - tells you there's a problem Level 2 - tells you there's a problem and what caused it Level 3 - tells you there's a problem, what caused it, and options to fix it Level 4 - tells you there's a problem, what caused it, options to fix it, and which one they'd pick Level 5 - tells you there was a problem, what caused it, how they fixed it, and future proof’d it
    3344324.4K529K
  13. Chris Fleming@chrisfleming91
    Anyone know what this is? Was in my poached Egg. Intestine/embryo? Or a worm? Parasite? 😳 no it wasn’t moving 🤭🤔 #egg #problems
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  14. Vikram✓@Vikram_AI_
    n 1986 a guy got kicked out of every casino in Vegas for counting cards. So he flew to Hong Kong with $180,000 and started betting on horses instead. He walked away with almost $900 million. It was Bill Benter. He realized horse racing was just another counting problem same math, more moving parts. He and a partner built a computer model that estimated the true odds of each horse. If his numbers showed an edge, he bet. If not, he skipped it. That’s the whole trick: Expected value. EV = p · b − (1 − p) Only bet when the probability of winning × the potential payout is greater than the chance of losing. What’s even crazier is that Benter once gave a 45-minute lecture explaining the math behind his system. That recording was never supposed to become public. And almost nobody knows it exists. This is the lecture that professional bettors and hedge fund analysts studied. The answer is in this video.
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    736272.9K236K
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