
Mr. Buzzoni
@polydao • 20,515 subscribers
Crafting the future of intelligence | AI Wizard & Builder | co-founder @polynternet | Partnerships & collabs welcome • DMs always open
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Atlassian's revenue: $1.79 billion last quarter Atlassian's move: fire the engineer who built their infrastructure his move: post a 38-minute breakdown of every system he built, free for anyone to copy what he revealed: > Envoy proxy instead of enterprise load balancers > sidecar architecture for auth, logging, rate limits > DynamoDB + SQS for async provisioning > Packer + SaltStack for automated VM deployments at scale Atlassian charges per employee across 350,000 customers this guy just handed you the enterprise playbook for free save this
Mr. Buzzoni21,714,959 Aufrufe • vor 2 Monaten

NVIDIA is giving away free access to 140+ AI models for a full year > most people building AI agents are paying $50-200/month for API access NVIDIA just made that argument irrelevant models you get: GLM 5.2, MiniMax M3, Nemotron-3-Ultra-550B-A55B, Kimi K2.7, and 130+ more setup: > step 1 - get your free key > go to > register -> bind phone -> copy API key > step 2 - add to Hermes agent > open Settings -> Model Provider -> Custom base_url = " api_key = "nvapi-xxxxxxxxxxxxxxxxxxxx" > step 3 - pick a model model = "z-ai/glm-5.2" model = "minimaxai/minimax-m3" model = "nvidia/nemotron-3-ultra-550b-a55b" model = "moonshot-ai/kimi-k2.7" > Hermes already has NVIDIA set as default base_url > paste the key and you're running instantly > works the same in Cursor and OpenCode > cost: $0 > limit: 40 req/min > expires: 1 year while everyone is paying for API access, this is sitting there for free with this many models in one place, it is also the easiest way to test which one actually fits your agent before you commit to a paid provider
Mr. Buzzoni81,407 Aufrufe • vor 5 Tagen

KARPATHY WAS RIGHT. THIS 40-MINUTE Y COMBINATOR LECTURE PROVES IT Karpathy said we're in the 1960s of AI - most people using Claude Opus 4.8 are still acting like it's just a search engine > software 3.0 - LLMs as operating systems, not chatbots > autonomous agents that run entire workflows without you watching the 32 skills in this article are how you actually cross that line bookmark this 👇
Mr. Buzzoni565,870 Aufrufe • vor 1 Monat

This girl from IBM explained how Claude works better than most AI engineers could in 8 minutes > search used to match words, not meaning > then AI learned to understand intent > then RAG gave LLMs external memory - so they could read your documents > then agents arrived - now the AI decides what to search, when, and why the hardest part of AI isn't generating the answer it's knowing what to look at first full video above
Mr. Buzzoni524,161 Aufrufe • vor 2 Monaten

KARPATHY JUST DROPPED 2 HOURS OF BRUTAL HONESTY ABOUT AI > we're nowhere near real autonomous agents - including Claude Opus 4.8 > AGI will blend into daily life and nobody will notice > he quit AI research to fix education. that's the problem he thinks matters more save this👇
Mr. Buzzoni328,829 Aufrufe • vor 1 Monat

Vasilios Syrakis is back after the massive success of his Atlassian video, he just dropped a follow-up addressing everything the stuff people really wanted to know: > no university degree, dropped out after 10th grade, started in help desk > taught himself everything from scratch - books, videos, no mentor > he didn't break any NDA - Atlassian published more detailed info themselves > the architecture was 10 years old - he'd build it completely differently today and the thing that hit hardest: > to everyone who felt impostor syndrome watching his first video - he said the gap between you and someone who knows more is usually just time, not intelligence the full response is above and he's building a control plane from scratch on camera soon so you can see exactly how it's done
Mr. Buzzoni392,279 Aufrufe • vor 2 Monaten

> do you understand what Claude Opus 4.8 just did to the Google job market > a senior Google engineer with 11 years of experience > stacked 32 Claude skills on top of his workflow > 8hrs → 2-3hrs per day > $95K developer vs $300K AI architect > same job. different stack. very different salary > the exact skill list is here 👇
Mr. Buzzoni286,905 Aufrufe • vor 1 Monat

NVIDIA is giving away free access to 130+ AI models for a full year > most people building AI agents are paying $50-200/month for API access NVIDIA just made that argument irrelevant models you get: MiniMax M2.7, GLM 5.1, Kimi 2.5, DeepSeek-v4-flash, GPT-OSS-120B and 110+ more setup: > step 1 - get your free key > go to > register -> bind phone -> copy API key > step 2 - add to Hermes agent > open Settings -> Model Provider -> Custom base_url = " api_key = "nvapi-xxxxxxxxxxxxxxxxxxxx" > step 3 - pick a model model = "minimaxai/minimax-m2.7" model = "zhipuai/glm-5.1" model = "moonshot-ai/kimi-2.5" model = "deepseek-ai/deepseek-v4-flash" model = "nvidia/nemotron-3-ultra-550b-a55b" > Hermes already has NVIDIA set as default base_url > paste the key and you're running instantly > works the same in Cursor and OpenCode > cost: $0 > limit: 40 req/min > expires: 1 year while everyone is paying for API access, this is sitting there for free
Mr. Buzzoni192,952 Aufrufe • vor 1 Monat

Jane Street needed a 4,032 GPU liquid-cooled data center just to run their trading models > that tells you everything about how much money this firm makes and why their quants start at $400K/year someone just got inside and filmed it > custom AI and trading agents trained specifically for this firm - off-the-shelf doesn't cut it > packets processed in under 100 nanoseconds > copper over fiber because electrons beat light at that scale > automated kill switches to shut algorithms down before downtime costs millions > financial privacy of their positions is protected at infrastructure level - nothing leaks 20 years ago their cluster was 6 Dell boxes on an office floor > this is the machine now what do you think - is this level of infrastructure even possible for smaller firms?
Mr. Buzzoni241,402 Aufrufe • vor 2 Monaten

This guy plugged a DGX Spark (the $3K Nvidia box) and a Mac Mini M4 together to run AI and what happened next surprised everyone > the Nvidia box handles the hard part - processing your prompt in milliseconds > Mac Mini M4 handles the fast part - generating the response at memory bandwidth speeds nothing else can match > together they hit 84 tokens per second on Llama - 6x faster than the Spark alone > running compute agents locally on this setup means your data never leaves your hardware > two boxes. two different architectures. one AI system that Deepseek runs at data center scale he ran it on his desk save this. the way we build local AI is about to change
Mr. Buzzoni153,432 Aufrufe • vor 1 Monat

KARPATHY JUST DROPPED A 2-HOUR INTERVIEW AND IT'S THE MOST HONEST THING IN AI RIGHT NOW watched the whole thing. three things hit me hard: > we're nowhere near real agents - including Claude > AGI will blend into daily life and nobody will notice > he quit AI research to fix education. because that's the actual problem save this 👇
Mr. Buzzoni195,787 Aufrufe • vor 2 Monaten

Claude Code will grill you with 40+ questions before writing a single line of code > it's called /grill-me - 3 sentences long. most impactful skill I use instead of jumping straight to code - it walks every branch of your design tree until there's zero ambiguity > every question reveals something you hadn't thought of other skills I use daily: > /write-a-prd - idea → proper product doc > /prd-to-issues - doc → GitHub issues automatically > /tdd - tests first, forces edge case thinking before code > /improve-codebase-architecture -> full structural review of your codebase all links and full breakdown in my article full video from Matt Pocock 👇
Mr. Buzzoni223,964 Aufrufe • vor 3 Monaten

This 1-hour Stanford lecture covers more about the tech inside Claude than most $1,000 AI bootcamps it answers the exact questions they'll ask you in an AI product or engineering interview: > why can Claude see images but only reply with text? > why does making the model "smarter" at reading make it better at generating output? > what is the "MoT" architecture that lets Claude learn vision without losing logic? > why is physical world interaction still the hardest problem to solve? the person who understands this framework doesn't just use Claude - they explain how it's built save this before your next interview
Mr. Buzzoni77,740 Aufrufe • vor 1 Monat

THIS 11-PAGE CLAUDE LOOP ENGINEERING PLAYBOOK IS THE CHEAT CODE FOR SENIOR DEV PROMOTIONS typing prompts line by line won't get you hired. you need to know how to design self-prompting loops: > Discovery: agent finds its own work from logs, failing tests, and commits > Handoff: tasks execute in isolated git worktrees to prevent parallel collisions > Verification: a second reviewer agent audits the builder's code to catch blind spots > Persistence and Scheduling: code writes to disk and loops run 24/7 on a timer the shift is simple: stop prompting the agent, build the system that prompts it read the full setup blueprint 👇
Mr. Buzzoni44,111 Aufrufe • vor 24 Tagen

Obsidian + Claude = 24/7 personal operating system Greg Isenberg just showed how to bridge a local Markdown vault and Claude Code via Obsidian CLI the setup that solves the context bottleneck: > /context - loads the complete model of your projects, schedule, and interests so you never have to re-explain details > /today - compiles calendar slots, tasks, and notes from the last week into a prioritized daily plan > /challenge - scans past entries to find contradictions, testing your current beliefs against your own history > /graduate - a custom command that Claude Code wrote for itself to extract structured essays from daily logs the people who build this tonight will never work the same way again bookmark this before your next setup session 👇
Mr. Buzzoni51,346 Aufrufe • vor 29 Tagen

CLAUDE + OBSIDIAN = THE ONLY AI FORMAT THAT WILL SURVIVE THE NEXT DECADE I struggled to build a functional second brain until I applied Karpathy's system -> I used to rely on walled gardens to store my thoughts, jumping from one app to the next then I moved everything to plain text in Obsidian and connected it to Claude seeing the AI read my entire folder locally completely upgraded my approach to work: > you point the AI directly at your local directory for instant context > you own your data forever because everything stays on your machine > the setup eliminates subscription fees and messy database exports > the open format is immune to startup failures because simple text lasts forever complex note apps will eventually shut down. a plain text folder works for a lifetime watch the breakdown 👇
Mr. Buzzoni38,279 Aufrufe • vor 24 Tagen