Tomasz Bak

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Tomasz Bak

Tomasz Bak

@tomaszbak

From stunning product design to flawless code. Leverage 15 years of my experience in building digital products at https://t.co/p933rNr5D8 and https://t.co/wEcEgiTKet

Bielsko-Biala, Poland Katılım Mart 2010
531 Takip Edilen298 Takipçiler
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Anthropic
Anthropic@AnthropicAI·
Last month we launched Project Glasswing, our collaborative AI cybersecurity initiative. Since then, we and our partners have found more than ten thousand high- or critical-severity vulnerabilities in essential software.
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Rohan Paul
Rohan Paul@rohanpaul_ai·
Anders Hejlsberg (creator of C#, TypeScript): AI has shifted software work from writing code to reviewing agent-written code, architecture, and oversight. "We are all turning into project managers"
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Michal Sadowski
Michal Sadowski@sadek·
Największą wartością AI nie jest cięcie kosztów, tylko uwolnienie ludzi od nudnych zadań i przesunięcie ich do pracy, w której mogą dać znacznie większą wartość. AI pozwala wynieść pracę na wyższy poziom. Bardzo fajny przykład daje IKEA. Gdy chatbot AI o nazwie Billie przejął prawie połowę zapytań klientów - firma nie zwolniła 8500 pracowników supportu. Zamiast tego przeanalizowała, jakich spraw AI nadal nie potrafi dobrze obsłużyć. Okazało się, że klienci potrzebują bardziej ludzkiego doradztwa przy urządzaniu mieszkań. IKEA przekwalifikowała więc tysiące osób z call center na konsultantów wnętrzarskich i home planning, zamieniając automatyzację kosztów w nowy strumień dający blisko 1,4 mld euro dodatkowego przychodu. Firmy, które zwalniają ludzi zamieniając ich na AI - tracą szansę na ucieczkę do przodu. Chwilowo mogą oszczędzić parę złotych, ale w długim terminie zostają w tyle, kiedy ich konkurenci, łącząc ludzi + AI uzyskują ogromną przewagę.
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Rohan Paul
Rohan Paul@rohanpaul_ai·
Head of Claude Code Boris Cherny at Anthropic's annual developer conference in San Francisco on how his life changed in the last 6 months with AI writing all the code. "About six months ago what happened is all the code that I used to have written by hand now Claude writes. And I just prompt Claude. So I talk to Claude and I'm like, hey, let's build this feature. It builds a feature and it tests it. And then it shows me. And I'm like, yeah, that's good. Or no, wait, make this change. And then it makes the change. " --- From 'CNBC Television' YT channel (link in comment)
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Andrzej Domański
Andrzej Domański@Domanski_Andrz·
Rząd przyjął dziś projekt OKI – Osobistych Kont Inwestycyjnych. 🇵🇱 To nowe konto inwestycyjne bez podatku do 100 tys. zł środków - otwierające inwestowanie dla szerokiej grupy oszczędzających. Tworzy warunki do pomnażania oszczędności i kierowania większej ich części na rynek kapitałowy, który finansuje rozwój polskich firm. Łączy interesy oszczędzających i realnie wspiera wzrost gospodarczy. Więcej inwestycji, więcej rozwoju.
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Adnan Jaweed
Adnan Jaweed@CrispyUX·
AI has genuinely changed how we work. Shipping faster. Sharper details. Opportunities we didn't have before. But I see everyone around me grinding harder than ever. Weekends. Nights. Keeping up. That's not ambition. That's fear of being left behind. The ones winning with AI aren't working harder. They stopped being afraid of it.
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Dovydas Vitkauskas
Dovydas Vitkauskas@Dovydas44444·
As part of SpaceX IPO preparations, Elon Musk has set an ambitious KPI to settle 1 million people on Mars by 2050, in return for a massive performance bonus. Musk will be 79 years old in 2050 - are there also expectations that he would still be running the company then?
Dovydas Vitkauskas tweet media
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Jack Mu
Jack Mu@jackmuva·
My favorite theme that @robwalling mentions in his podcast is "emotional runway." It's your motivation to continue working on a project. Users, paying customers, positive comments, they all add to that motivation, that runway We can build products faster with agents, but that doesn't change the importance of emotional runway. That project or feature I've spun up with just prompts arguably has less emotional runway: there's less time investment, less intrinsic motivation, less attachment. The lower barrier to entry is a tradeoff, because it's never been easier to start a project, but it's also never been easier to throw away a project
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Luke Wroblewski
Luke Wroblewski@LukeW·
small taste of the incoming AI agent world.
Luke Wroblewski tweet media
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Igor Sushko
Igor Sushko@igorsushko·
Here are Russia's brand new 2S43 Malva 152mm self-propelled wheeled artillery guns on the way to the front lines along with 9K512 Uragan-1M MLRS. Actual State of the Russian military in 2026: - 680,000 troops occupy Ukraine. - Ground forces doubled from 2022 to nearly 600,000, despite losing 1.3 million. - 1.3 million active duty troops (up 44% since 2022). - 70-85 Iskander and Kinzhal ballistic missiles per month. Was 3/month in 2022. - 120–170 cruise missiles per month. - Shells/munitions production: 7 million artillery, mortar, tank/IFV, and MLRS rounds in 2025 (17× pre-invasion 2021 level of 400,000). - 7 million FPV drones/year. - 150,000 strike drones/year, boosting to 360,000/year. That's Shaheds, etc. - 21,000 armored vehicles (tanks + IFVs + APCs/ACVs) in active inventory, exceeding pre-2022 levels. Despite ~16,000 losses since Feb 2022. STOP SAYING THAT RUSSIA DOESN'T HAVE THE MILITARY TO WAGE WAR BEYOND UKRAINE. EUROPE MUST MOBILIZE FOR WAR IF IT HOPES TO PREVENT A LARGER WAR.
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GREG ISENBERG
GREG ISENBERG@gregisenberg·
Sometime in the next 2-3 years agents will be using the internet more than humans We designed the whole thing for human eyes, human emotions, human attention spans Agents do not have any of that The internet as we know it was built for the wrong user The opportunity is rebuilding everything for the new user Agent-native search. Agent-native commerce. Agent-native discovery Every category is open again I can't stop thinking about it.
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LoucB
LoucB@LoicBerthelot·
Me training my AI agents to run my SaaS at 3am
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Tomasz Bak@tomaszbak·
@lukaszstarosta If that post was written by LLM… then the author could have indeed went through all the 600,000 lines 😉
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Rohan Paul
Rohan Paul@rohanpaul_ai·
Steve Jobs had something people called at that time "Reality-Distortion Field" - when people were in Steve Jobs proximity impossible target felt achievable. Elon Musk has the same. --- Full Video from @Codie_Sanchez YouTube Channel (Link in comment)
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Rohan Paul
Rohan Paul@rohanpaul_ai·
New Andrej Karpathy interview: "To get the most out of the tools that have become available now, you have to remove yourself as the bottleneck. You cannot be there to prompt the next thing. You need to take yourself outside the loop. You have to arrange things such that they are completely autonomous. The more you can maximize your token throughput and not be in the loop, the better. This is the goal. So, I kind of mentioned that the name of the game now is to increase your leverage. I put in very few tokens just once in a while, and a huge amount of stuff happens on my behalf." --- From @NoPriorsPod YT channel (link in comment)
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a16z
a16z@a16z·
Anish Acharya: We're going to see a "YouTube moment for software": "If you think about YouTube 20 years ago—we had lots of video and lots of television, and it was high production quality, and it wasn't clear that we needed more and 20 years later, YouTube's a $550 billion enterprise that would be one of the biggest companies in the world if it was independent." "I think the same thing is going to happen for software. People want to make software, and for the first time they can—and they can distribute it and they can consume it." "Sometimes it's going to be important software. Sometimes it's going to be totally trivial. It's going to be software for a bachelor party weekend, software for a joke, software for a prompt. We have this sort of seriousness about software that we had about video and television 20 years ago." "Now it's like—I just took a video on my phone. It's going to be like—I just made an app on my phone. Same energy." @illscience on BILLIONS with @GuillaumeMbh
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Mehdi (e/λ)
Mehdi (e/λ)@BetterCallMedhi·
I spent time in Shenzhen last year and when I saw Merz come back from China saying Germans need to work more I immediately knew what broke his brain because I lived the exact same cognitive shock my first week in Huaqiangbei I burned through 4 prototype iterations of a motor controller board for less than a thousand bucks total, back home a friend was working on something similar and spent over 12 thousand for a single revision that took almost two months to arrive when you live that contrast in your own hands with your own project something permanently shifts in how you see the world and it goes way deeper than speed & cost what Shenzhen actually built is a collective learning organism, imagine 20 PCB fabs 15 injection mold shops 30 component distributors and a hundred firmware freelancers all within a 2km radius, looks insanely redundant from the outside until you realize redundancy is actually information density in disguise I watched this firsthand with an injection mold supplier I was working with, this guy had seen a hundred founders iterate similar thermal designs over 6 months so he proactively modified his tooling before I even opened my mouth, he knew what I needed before I knew what I needed, the intelligence lives in the relationships between the nodes and it compounds daily the west thinks about manufacturing as a cost center you optimize by centralizing… China accidentally built a distributed neural network of manufacturing intelligence where knowledge diffuses horizontally across thousands of agents faster than any single western company can process internally so when Merz comes back and says we need to work a bit more I think he saw the problem but COMPLETELY misdiagnosed the solution, telling Germans to work harder is like telling a horse to gallop faster when the other side built a combustion engine the gap is ARCHITECTURAL it’s ecosystem density, you need a custom connector in Shenzhen you walk 200 meters, in Munich you send an email and wait 3 weeks it’s iteration speed, parallel search vs sequential optimization at the system level, it’s risk tolerance, Chinese founders ship something broken on Monday fix it Tuesday ship again Wednesday while European companies are still in the approval phase for the pilot program of the feasibility study… and Merz only saw the surface, what he missed is the tier 2 cities like Hefei Chengdu Wuhan replicating the Shenzhen model at scale right now BYD going from irrelevant to outselling every european automaker combined in roughly 5 years, Huawei building its own 7nm chip under maximum sanctions when every analyst said it was physically impossible & behind all of that a government that treats advanced manufacturing as an existential national priority while europe debates whether AI needs another ethics committee I think what we’re watching is the most asymmetric economic competition in modern history and most western leaders are still framing it as a productivity problem when it’s actually an ontological one Europe & America are optimizing variables that China stopped tracking years ago meanwhile China is compounding on dimensions the west has no framework to even measure Merz at least had the courage to name it out loud and I respect that genuinely but working a bit more inside a broken architecture just means you arrive at the wrong destination slightly faster
Megatron@Megatron_ron

NEW: 🇩🇪🇨🇳 German Chancellor Merz says Germans need to work more in order to match China: “We are simply no longer productive enough. Each individual may say, “I already do quite a lot.” And that may be true. But when you return from China, ladies and gentlemen, you see things more clearly. With work-life balance and a four-day week, long-term prosperity in our country cannot be maintained. We will simply have to do a bit more.”

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Abhi Aiyer
Abhi Aiyer@abhiaiyer·
we have been hustling hard trying to improve our memory system. observational memory is inspired by humans Observe -> Reflect -> Remember
Tyler Barnes@tylbar

🚨 Announcing a new SOTA memory system, Observational Memory (OM), available in latest @mastra version now. It achieves the highest scores ever recorded on LongMemEval (gpt-4o 84.2%, gpt-5-mini 94.9%) No RAG, no graphs, no input based retrieval, just a simple constantly evolving text blob that outperforms every other memory system available. 🧵1/4

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