Piotrek

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Piotrek

Piotrek

@dopiotrek

product engineer | https://t.co/2IscG2hwAX

Frankfurt/Main Katılım Ocak 2017
524 Takip Edilen165 Takipçiler
Piotrek
Piotrek@dopiotrek·
The bigger news is that it's not just trimming fat but a fundamental shift in how companies will operate in the near future. Here are the patterns you should watch, as other executives take notes already: 1) Death of the middle management Brian Armstrong said managers will now have 15+ direct reports. I don't know how much they've had so far, but historically, the best practice has been 5-7 directs. This ensured proper mentorship and oversight. 👉 This means that managers won't have time to micromanage. They will only have time to manage outputs (which is good). 2) The end of the pure people manager This statement carries some weight: "Every leader at Coinbase must also be a strong and active individual contributor." This means the career path for pure people managers is basically over. 👉 We're moving towards an Individual Contributor (IC) driven culture now, where technical competence > administrative oversight 3) The "one-person team" That's probably the most radical pattern. It ends the era of specialists. Historically, tech teams were super specialized. PM, UX Designer, FE Dev, BE Dev. AI has collapsed these roles into one. 👉 We'll soon see the rise of a 10x generalist who understands the broader context and can orchestrate the fleet of agents to execute the specialized tasks. And probably the biggest shift: Coinbase is rebuilding itself as an intelligence company with people around the edge aligning it. The definition of a company is no longer "a group of people working together."
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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Piotrek
Piotrek@dopiotrek·
Future companies will look more like platform for builders. They will provide the infra, the brand, possibly even the distribution. AI collapses the cost of business and opens new markets that were too small for VCs and the like. It's not a recipe for unicorns, but new portfolio categories will emerge, with operator-owned businesses at the core
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Sam Lambert
Sam Lambert@samlambert·
thanks to AI i create and abandon projects 4x faster
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Piotrek
Piotrek@dopiotrek·
@pmarca when the cost of something drops, demand for it goes up
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Piotrek
Piotrek@dopiotrek·
@mcuban It's a bit of deadlock for CEOs On one side they have FOMO from watching competition rolling out AI But also FOMU (fear of messing up), where they fear their AI will e.g. hallucinate fake data and completely damage their brand
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Mark Cuban
Mark Cuban@mcuban·
So why did i bring this up? Not because i think something is wrong with AI. Nor that i think it should be used less. I still believe there are 2 types of companies.. Those that are great at AI, and those who will go out of business. I was thinking of it more from the perspective of a CEO. They are not going to know, understand or want to know the nuances of AI implementation. A CEO is going to want to know what they can expect from AI. What can it not do. How does it compare to our existing scenarios. And on the flipside, what can it do, with 100pct certainty or with greater positive impact than current systems. And what is the implementation risk It is going to take a long time before CEOs know how to determine risk vs reward with AI. But they are facing the "Innovator's AI Dilemma" today.
Mark Cuban@mcuban

I’m coming to the conclusion that the biggest challenge for Enterprise AI, and AI in general , as of now, is that it’s still impossible to make sure that everyone gets the same answer to the same question, every time. Which is a great response to the doomers. AI doesn’t know the consequences of its output. Judgement and the ability to challenge AI output is becoming increasingly necessary, and valuable. Which makes domain knowledge more valuable by the second. Am I wrong ?

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Piotrek
Piotrek@dopiotrek·
I think we are starting to see the signs of people becoming tired of building with AI and that vibe coding a SaaS is a cool side project that makes it rarely pass the market Deploying to prod and gaining users pain remains unsolved
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Piotrek
Piotrek@dopiotrek·
@mcuban AI should not run an entire enterprise process, and there are better ways of doing it by using deterministic automations and sprinkle GenAI/LLMs for non-critical workflows here and there
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Mark Cuban
Mark Cuban@mcuban·
I’m coming to the conclusion that the biggest challenge for Enterprise AI, and AI in general , as of now, is that it’s still impossible to make sure that everyone gets the same answer to the same question, every time. Which is a great response to the doomers. AI doesn’t know the consequences of its output. Judgement and the ability to challenge AI output is becoming increasingly necessary, and valuable. Which makes domain knowledge more valuable by the second. Am I wrong ?
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Piotrek
Piotrek@dopiotrek·
@levelsio Despite what many say, I know many who work their asees off at their main job while trying to build something on the side It's not exclusive to Europeans, I get it, but it's just to say we're not socialists waiting for some sort of salvation
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Piotrek
Piotrek@dopiotrek·
@Ronalfa I tried for the past 8 months, averaging 4-5 posts per week, really tried, but man, I lost my soul during that time and the comment section...
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Ron Alfa
Ron Alfa@Ronalfa·
LinkedIn is basically Moltbook now.
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Piotrek
Piotrek@dopiotrek·
one of the best lines I've ever heard: People who grow up in chaos create order
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Piotrek
Piotrek@dopiotrek·
@nikitabier I confirm, I've spent 8 months posting on LinkedIn and I have no soul
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Nikita Bier
Nikita Bier@nikitabier·
X is sufficiently capitalist where it is valuable to post & build a reputation here (unlike reddit or 4chan), but not so capitalist that it drains your soul like Linkedin. It’s perfect.
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Piotrek
Piotrek@dopiotrek·
@tengyanAI That's why I welcomed Anthropic's limits. At first I complained but it gave me time to cool down and recharge mentally
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Teng Yan
Teng Yan@tengyanAI·
something i've noticed: AI agents create a weird new kind of burnout. esp for young people. a lot of ambitious 22 year olds are going to think the answer is simple: - spin up more agents - ship more code - sleep less - outwork everyone and for a while, it will feel incredible. you can keep multiple agents running, feed them tasks, review outputs, fix mistakes, make decisions, and keep the whole loop moving. the problem is that the work no longer drains you through typing. it drains you through judgment. More attention. More context switching. More verification. More decisions per hour. so instead of 8-10 normal productive hours, you might get 4-5 extremely intense hours before your brain is fully cooked. and you feel numb until you sleep properly and reset some of my friends are already burnt out. they don't say it out loud but i can tell. the agent can keep working 24/7. the human still has a hard limit
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Piotrek
Piotrek@dopiotrek·
AI is taking on higher cognitive tasks, yes, but let's be real models don't actually plan, they just map things out assuming nothing will ever go wrong in the real world And taste? AI mimics it, but does not invent it. Real taste is about breaking the rules. AI just copies what's already popular, so it's never going to start the next big trend
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Marc Andreessen 🇺🇸
Three things the leading AI models are quite good at: long term planning, idea generation, and taste. Sorry, but it's true.
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Piotrek
Piotrek@dopiotrek·
I support anything that gets rid of repetitive work and lets people focus on more meaningful tasks. But if we stop executing, do we lose the ability to recognize good context? That's how intuition gets built, by spending time 'in the weeds'. So how do we provide good, nuanced context if we skip that step?
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Piotrek
Piotrek@dopiotrek·
@paulg vc’s also suffer from ai fomo so there’s that
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Paul Graham
Paul Graham@paulg·
The biggest opportunity for would-be startup founders is AI. But the most underpriced opportunity is probably non-AI ideas. So if you have a good non-AI idea, go for it, because everyone else is going to overlook it.
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Piotrek
Piotrek@dopiotrek·
@Scobleizer do the robots yell "So geht das nicht!" after assembly?
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Robert Scoble
Robert Scoble@Scobleizer·
The black forest is cooking some robots. What are they putting in the beer now? :-) (I'm half German so I can say that).
Lukas Ziegler@lukas_m_ziegler

Robotics in Munich is on fire! 🥨 Let's make it simple - Munich is a great place to launch robotics startups. There are couple of great spots for robotics in Europe and here, in the middle of Bavarian land is one of them. Leading universities like Technical University of Munich produce highly skilled robotics and AI engineers, while global companies such as BMW Group and Siemens offer close collaboration opportunities and early customers. There is growing interest in robotics and you can see it by incubating student communities like RoboTUM and many others. The city also provides access to venture capital, accelerators, and government funding focused on deep tech. 💰 🦾 robominds - enable robots to learn complex manipulation and automation tasks from human demonstrations 🦾 Franka Robotics - research-driven robotics company that develops force-sensitive robotic arms 🦾 Agile Robots - builds intelligent robotics solutions by combining advanced AI with force-sensitive robots and systems 🦾 @Robco_Robotics - automation company that builds modular, plug-and-play robot hardware paired with AI-powered, no-code 🦾 @OliveRobotics - developing AI-enabled, ROS-native sensor hardware and embedded software 🦾 Magazino – a Jungheinrich company - robotics company that develops intelligent mobile robots and AI-driven software for warehouse and intralogistics 🦾 @AngsaRobotics - startup that builds autonomous outdoor cleaning robots using AI-powered object detection to autonomously find and remove small trash 🦾 Filics - startup developing autonomous, flat mobile robotsthat drive under and move pallets and other load carriers 🦾 sewts - robotic systems and software to automate the handling of deformable materials like textiles 🦾 @CircusGroupSE - develops autonomous robotic systems and software to fully automate food production and supply in commercial and defense settings 🦾 @IntrinsicAI - builds a platform and developer tools to make industrial robots easier to program, more flexible and widely usable across industries 🦾 @RobotLearningCo - builds low-cost, AI-driven robotic systems and developer kits that let robots learn tasks 🦾 @KewazoRobotics - develops robotic systems that automate material transport on construction sites 🦾 ARX Robotics -  builds modular unmanned ground vehicles and autonomous systems for defense 🦾 @IDEALworksGmbH - develops autonomous mobile robots and fleet orchestration software for industrial logistics 🦾 @global_mechmind - develops 3D vision systems and AI software that give industrial robots perception and intelligence 🦾 @DLR_de - national research center and space agency, conducting advanced R&D across aerospace, energy, and robotics Not to mention that in Munich the biggest robotics companies have their offices: Universal Robots, Exotec and many many more. European robotics scene is 🔥! ~~ ♻️ Join the weekly robotics newsletter, and never miss any news → ziegler.substack.com

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Lukas Ziegler
Lukas Ziegler@lukas_m_ziegler·
Robotics in Munich is on fire! 🥨 Let's make it simple - Munich is a great place to launch robotics startups. There are couple of great spots for robotics in Europe and here, in the middle of Bavarian land is one of them. Leading universities like Technical University of Munich produce highly skilled robotics and AI engineers, while global companies such as BMW Group and Siemens offer close collaboration opportunities and early customers. There is growing interest in robotics and you can see it by incubating student communities like RoboTUM and many others. The city also provides access to venture capital, accelerators, and government funding focused on deep tech. 💰 🦾 robominds - enable robots to learn complex manipulation and automation tasks from human demonstrations 🦾 Franka Robotics - research-driven robotics company that develops force-sensitive robotic arms 🦾 Agile Robots - builds intelligent robotics solutions by combining advanced AI with force-sensitive robots and systems 🦾 @Robco_Robotics - automation company that builds modular, plug-and-play robot hardware paired with AI-powered, no-code 🦾 @OliveRobotics - developing AI-enabled, ROS-native sensor hardware and embedded software 🦾 Magazino – a Jungheinrich company - robotics company that develops intelligent mobile robots and AI-driven software for warehouse and intralogistics 🦾 @AngsaRobotics - startup that builds autonomous outdoor cleaning robots using AI-powered object detection to autonomously find and remove small trash 🦾 Filics - startup developing autonomous, flat mobile robotsthat drive under and move pallets and other load carriers 🦾 sewts - robotic systems and software to automate the handling of deformable materials like textiles 🦾 @CircusGroupSE - develops autonomous robotic systems and software to fully automate food production and supply in commercial and defense settings 🦾 @IntrinsicAI - builds a platform and developer tools to make industrial robots easier to program, more flexible and widely usable across industries 🦾 @RobotLearningCo - builds low-cost, AI-driven robotic systems and developer kits that let robots learn tasks 🦾 @KewazoRobotics - develops robotic systems that automate material transport on construction sites 🦾 ARX Robotics -  builds modular unmanned ground vehicles and autonomous systems for defense 🦾 @IDEALworksGmbH - develops autonomous mobile robots and fleet orchestration software for industrial logistics 🦾 @global_mechmind - develops 3D vision systems and AI software that give industrial robots perception and intelligence 🦾 @DLR_de - national research center and space agency, conducting advanced R&D across aerospace, energy, and robotics Not to mention that in Munich the biggest robotics companies have their offices: Universal Robots, Exotec and many many more. European robotics scene is 🔥! ~~ ♻️ Join the weekly robotics newsletter, and never miss any news → ziegler.substack.com
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Matthew Berman
Matthew Berman@MatthewBerman·
wtf is anthropic even doing?
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Piotrek
Piotrek@dopiotrek·
More and more people want age verification for access to social media
Piotrek tweet media
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