RIP Chuck Norris 🙏

My friend vibe coded an app. Took 2 hours. Then he had his ClawBot do all the marketing. Hit $300k MRR in just a few weeks! Without any real work on his end. 95% profit margins. Rolling in cash. The entire business is automated. He can do this a few more times and get insanely rich. The best part? This guy doesn’t exist, and I just made all of this up for engagement bait because everyone else is making up stories like these. Why shouldn't I?

🚨 BREAKING: President Trump gives MASSIVE SHOUTOUT to that legendary Czech politician who embarrassed and TRIGGERED Hillary Clinton in Munich "You really don't like Trump! I'm sorry this makes you nervous!" Hillary: 😡 TRUMP: "Great job in your Debate against Hillary Clinton on various subjects, including her ridiculous views on Gender. Say hello to everybody in your wonderful Country!" This dude is seriously BASED! 🇺🇸🇨🇿

The problem with LLM-generated content is that it is believable at first sight.
Our problem is that we tend to believe things at first sight.

Rob Pike co-creator of Go, Unix veteran, and a pioneer of minimalist and high quality engineering reaction to that unsolicited AI spam or slop is 100% valid

🤣🤣🤣🤣🤣

VCs, please stop funding this slop. We’re entering clown world with the amount of AI building we’re seeing. 🤡🌎 All I see in the data infra space is companies building infrastructure for AI Agents with the obligatory buzzwords like A2A or MCP. Who is productionizing these AI Agents? Two years of marketing hype in, I have literally only seen ONE talk about an AI "Agent" in prod. It's by Uber and it's used for code generation. First off - it's a dev tool and second - it's not even an agent, it's a workflow. Who honestly thinks the future of software architecture will be hundreds of AI Agents talking to each other, similar to microservices today? Does anyone ACTUALLY believe this is what the world will be in 5 years? Can they comment here and share their perspective? The data is pointing to the opposite. • We haven't seen any major LLM advancements since GPT-4. • All frontier model companies are grossly unprofitable with no sustainable path. • A lot of investments between big tech are circular (recycling revenue) Even in a winner-take-all model, OpenAI is burning $5 BILLION a year. Anthropic, the number two, is looking way, way worse regarding its revenue model. What happens when the funding stops? Companies chasing investor interest via shiny narratives are missing the forest for the trees - we, the engineers, need practical solutions. That's what's going to last. Fortunately, I see two trends growing quietly behind the spotlight (the sloplight?) of AI. They will most certainly survive a dot-com like crash if that were to happen. They are: • Small Data • The “Just Use Postgres” Renaissance The common theme between both? Simplification. ♦️ Small data is the cure for the Big Data hangover that tech collectively went through in the 2010s. It’s the group realization that: • organizations don’t use that much data • hardware is getting really, really good Most applications will never see a terabyte of data, even if they’re successful. Snowflake and Redshift-published data showed that 99.9% of real-world queries fit on one node. 💡 And the nodes are becoming super beefy. AMD released a 192-core (!) CPU this summer. 2025-era SSDs can do 5.5 million random reads a second and 28 GiB/s sequential reads. Embedded and simple systems like DuckDB are going viral for a reason. ♦️ Postgres is doing to data infrastructure what the monolith comeback is doing to the microservices architecture. It’s the group realization that Postgres can handle 80% of companies' needs. And it does it with 20% the effort. It’s not the extreme view where "when you have a hammer, everything looks like a nail". 👉 It’s the extremely reasonable and practical application of reducing the amount of system sprawl in your organization when that sprawl isn’t warranted. Instead of MongoDB, Redis, an AI Vector database, Snowflake and Elasticsearch - you can use tsvector, pg_mooncake, pgvector, unlogged tables and jsonb in Postgres. Life becomes significantly simpler when you don't have to manage 5 different systems. There is a ton of organizational overhead in having to: • learn their nuances/configs/gotchas, • learn their UIs and terminology • learn how to deploy and upgrade them safely • build operational expertise • write runbooks for them • debug them • test them • find, hire and retain talent that understand them • keep up with their ecosystems • etc. Paying this organizational overhead for zero significant gain is not worth it. It's all common sense.

all this talk about vibe coding and how you can now build anything and they just fork chromium

No disrespect to Linus Torvalds, but this guy is the greatest geek alive 🫡 Created UNIX in 1971 when he was 28 years old. Created Go in 2009 when he was 66 years old. He also developed the B programming language (which led to C), created UTF-8 encoding (making international text possible online), and designed essential tools like grep that developers still rely on daily. He also helped with the development of Multics (that led to UNIX), Plan 9 from Bell Labs and Inferno operating systems. That's 4 operating systems in total... Most people don't even use these many OS. Pretty impressive resume, right? And it's a shame that many people, even the ones in the IT and tech industry, don't know him. Ken Thompson.... Remember the name 🙏

v @idnes mají smysl pro černý humor.

We Just Made History! #Commodore Is Home! #retrogaming #gaming

That looks like a bargain 🤑

Announcing our $75M Series A raise from @khoslaventures, @MayfieldFund, @thomvest and others, to transform #security and operations with the industry’s first multi-model #AI purpose-built for the #SOC. Learn more at exaforce.com/blogs/reimagini…

This is one of the wildest git diffs I've ever seen

Tesla představuje revoluční Model SS: – za příplatek plně automatizované řízení Autoführer 3.0 – se systémem detekce a vyhodnocení překážek Judenfrei – v základní výbavě ovšem jen Tempomacht Frei – technologie dobíjení Blitzcharger – plná baterie za pouhých 39-45 minut – Lane Assist důsledně udržuje vozidlo v pravém pruhu – Smart Park asistent umí parkovat do formací – unikátní pozdrav zvednutým stěračem při detekci jiné Tesly – hlasový asistent reagující na pozdrav Sieg! – inteligentní vyhledávání parkovacích míst s funkcí Anschluss – prémiový soundsystem Wagner Edition – klimatizace s funkcí Zyklon pro dokonalou čistotu vzduchu – sedačky potažené čistou árijskou kůží exkluzivně v limitované edici Herrenvolk Elektromobily Tesla jsou konečné řešení problému s emisemi! @DavidGrudl

Milton Friedman's four ways to spend money. Save this.

Nejnovější zákon

Muže osahavat pecky? Nebo kdo co osahával 🤔

Every day a terrorist dies is a good day. Today is a very good day.