Christoph C. Cemper 🧡 AIPRM

𝗪𝗵𝗮𝘁 𝗰𝗮𝗻 𝗽𝗼𝘀𝘀𝗶𝗯𝗹𝘆 𝗴𝗼 𝘄𝗿𝗼𝗻𝗴 𝘄𝗶𝘁𝗵 𝗮 𝗦𝗘𝗟𝗘𝗖𝗧 ... 𝗪𝗛𝗘𝗥𝗘 ... 𝗜𝗡 ( 𝟱𝟬,𝟬𝟬𝟬 𝗜𝗗𝘀 )? The 𝙍𝙚𝙥𝙤𝙨𝙞𝙩𝙤𝙧𝙮 𝙋𝙖𝙩𝙩𝙚𝙧𝙣 (Fowler 2002, Evans 2003) taught a generation of developers to treat the database as a dumb key-value store behind clean interfaces. At 50 rows in a Spring Boot tutorial, that's fine. At 10M rows with a columnar engine designed for JOINs, it generates 600KB SQL that the database literally refuses to execute. Unfortunately a zillion blog posts and quintillion lines of poor "open source code" of the past 25 years also helped pass this "knowledge" on to LLMs. No matter the token cost, garbage in - garbage out, is still the principle with AI.

@hnykda this is seriously bad.

LiteLLM HAS BEEN COMPROMISED, DO NOT UPDATE. We just discovered that LiteLLM pypi release 1.82.8. It has been compromised, it contains litellm_init.pth with base64 encoded instructions to send all the credentials it can find to remote server + self-replicate. link below

on topic with the idea to disavow the whole TLD with domain:xyz good idea, because it's super spammy for a decade only Google's mother Alphabet has their home there, at abc.xyz but I haven't seen them linking out too spammy, so you may want to reconsider doing that

ICYMI - the Google Disavow Tool is still around - and works - as per Google last week

@eurofounder Cute rage bait. But one does not simply "fire" someone in Germany ;-) Kündigungsfrist sowieso, aber Anfechtung wegen Paragraph x,y,z

I've been running my company for 7 years and never felt so disrespected like this week I offered German language course to all my employees 3 hours per day, right after work, I cover half the cost (€750 per employee) I expected gratitude, maybe even applause Every single of my 6 employees signed up immediately Except one - Jan, a Polish software engineer, my best coder I called him into my office and asked why "I'm fine with English, and don't really want to learn German" I was absolutely furious but stayed calm "No problem Jan, your choice" I said with a fake smile Next morning I called an all-hands meeting, all of us gathered in the conference room I looked directly at Jan "Jan, du bist gefeuert" I said "What?" "If you had signed up for the course, you would know I just fired you" "Fired?! For what?" "Cultural misalignment" I said in German again and called security to escort him out Sometimes one example is all it takes to build a strong company culture

@earthcurated check if data roaming is again GBP 100/megabyte

You arrive in London what's the first thing you do?

Merry Christmas everyone! Hope you all have a few days off to recharge before another exciting year

I propose investing in QA and some international SIMs 🥲🙉🫢

you cannot make this up @tryramp no reply possible? no app option plus: "RiSk" after dozens of same tx same card same vendor same location same IPs LMAO #conversionkillers #ux #riskmanagement

No Rollouts On Friday

Microservices is the software industry’s most successful confidence scam. It convinces small teams that they are “thinking big” while systematically destroying their ability to move at all. It flatters ambition by weaponizing insecurity: if you’re not running a constellation of services, are you even a real company? Never mind that this architecture was invented to cope with organizational dysfunction at planetary scale. Now it’s being prescribed to teams that still share a Slack channel and a lunch table. Small teams run on shared context. That is their superpower. Everyone can reason end-to-end. Everyone can change anything. Microservices vaporize that advantage on contact. They replace shared understanding with distributed ignorance. No one owns the whole anymore. Everyone owns a shard. The system becomes something that merely happens to the team, rather than something the team actively understands. This isn’t sophistication. It’s abdication. Then comes the operational farce. Each service demands its own pipeline, secrets, alerts, metrics, dashboards, permissions, backups, and rituals of appeasement. You don’t “deploy” anymore—you synchronize a fleet. One bug now requires a multi-service autopsy. A feature release becomes a coordination exercise across artificial borders you invented for no reason. You didn’t simplify your system. You shattered it and called the debris “architecture.” Microservices also lock incompetence in amber. You are forced to define APIs before you understand your own business. Guesses become contracts. Bad ideas become permanent dependencies. Every early mistake metastasizes through the network. In a monolith, wrong thinking is corrected with a refactor. In microservices, wrong thinking becomes infrastructure. You don’t just regret it—you host it, version it, and monitor it. The claim that monoliths don’t scale is one of the dumbest lies in modern engineering folklore. What doesn’t scale is chaos. What doesn’t scale is process cosplay. What doesn’t scale is pretending you’re Netflix while shipping a glorified CRUD app. Monoliths scale just fine when teams have discipline, tests, and restraint. But restraint isn’t fashionable, and boring doesn’t make conference talks. Microservices for small teams is not a technical mistake—it is a philosophical failure. It announces, loudly, that the team does not trust itself to understand its own system. It replaces accountability with protocol and momentum with middleware. You don’t get “future proofing.” You get permanent drag. And by the time you finally earn the scale that might justify this circus, your speed, your clarity, and your product instincts will already be gone.

Could not have said it better

@suganthan @intercom 🤣 so true

No, you can’t one shot and replicate @intercom This is just clickbait.

@upen946 aiprm.com

👋👋 Monday again!! Time to promote your product. 🚀 Share your product URL

Google introduced Gemini 3 as their most intelligent model and a new family of AI models combining state-of-the-art reasoning with multimodal understanding and powerful agentic capabilities - Gemini 3 Pro tops LMArena Leaderboard with 1501 Elo, scores 37.5% on Humanity's Last Exam without tools, 91.9% on GPQA Diamond, 23.4% on MathArena Apex, and 72.1% on SimpleQA Verified for factual accuracy - Available now in Gemini app (select "Thinking" from model picker), Google Search AI Mode (for US Google AI Pro and Ultra subscribers, expanding to all US users soon), Vertex AI, Google AI Studio with free tier and rate limits, Gemini CLI (for Ultra subscribers and paid API key holders, waitlist for others), Android Studio Otter, and new Google Antigravity agentic development platform (based on VS Code) - Pricing set at $2 per million input tokens and $12 per million output tokens for prompts under 200k tokens, with free access in Google AI Studio subject to rate limits - Gemini 3 Deep Think mode achieves 41.0% on Humanity's Last Exam, 93.8% on GPQA Diamond, and 45.1% on ARC-AGI-2, rolling out to Google AI Ultra subscribers in coming weeks after safety evaluations - New capabilities include generative interfaces with dynamic view and visual layout experiments, Gemini Agent for multi-step tasks available to US Ultra subscribers only, and redesigned app with My Stuff folder for finding created content - Gemini 3 Pro scores 1487 Elo on WebDev Arena, 54.2% on Terminal-Bench 2.0, and 76.2% on SWE-bench Verified for coding tasks, with integrations available in Cursor, GitHub, JetBrains, Manus, Replit, Cline, and Google Antigravity available free in public preview for MacOS, Windows, Linux - Enterprise customers get access through Gemini Enterprise and Vertex AI, eligible US college students receive free year of Google AI Pro, Google AI Pro and Ultra subscribers get higher usage limits, with additional Gemini 3 models coming soon

it is called "single point of failure" - we are all guilty. #cloudflare and yes, running multiple CDN providers for your business is non-trivial

THIS, for 20 years now

@razoorka @GergelyOrosz THIS, except Dev skills vanishing for 20 years now. Negative climax not reached.

All I do is open a few tabs in Chrome here and there - and an hour later my computer is jerky and lags. I check, and every single time it's Chrome taking up well over 16GB. In 2025 I still don't understand how memory can sprawl so much in browsers, and why *kills Chrome*

OpenAI published a new Sora 2 Prompting Guide so I created a prompt template inspired by their recommendations that writes prompts for you Pick your model (Sora 2 for 10s or Sora 2 Pro for 15s), choose from almost 100 styles, add a Cameo if you want, describe your idea and it generates a full prompt with all the cinematography and technical details Try it if you need help getting started with Sora 2 prompts