Seraphim Gumirov

ELIETE 8 HERE WE GO

As my late grandfather would say “don’t count your chickens before they’ve hatched” At least we have a good view

First, fuck off. Ok, now we’re locked in, I sincerely wish you all the best. The world is brutal. Uncaring, wanting its own at your expense and indifferent to your losses. Leaving no safe haven for reprieve and rejuvenation. Yet the want to interdigitate and be fiercely loyal to each other persists beneath the wreckage. It’s how we are built and what we are built for. Society has strip-mined our togetherness by chopping up our bonds with endless insult. We do best with shared purpose and a common enemy. We are the stewards of intelligent life. Our moral duty is to tend its continuation. Not as martyrs, but as stalwarts. Our enemy is that which makes you smaller. Count me as your ally.

According to a document in the CERN server, the Hoover Dam holds the key to the fate of the universe.

I beg your fucking pardon????

i can't believe nobody caught this. Anthropic's entire growth marketing team was just ONE PERSON (for 10 months, confirmed) a single non-technical person ran paid search, paid social, app stores, email marketing, and SEO for the $380B company behind claude here's exactly how one human is doing the job of a full marketing team: it starts with a CSV. 1. he exports all his existing ads from his ad platforms along with their performance metrics (click-through rates, conversions, spend, etc) 2. feeds the whole file into claude code 3. and tells it to find what's underperforming. claude analyzes the data, flags the weak ads, and generates new copy variations on the spot this is where he gets clever: he then splits the work into 2 specialized sub-agents: 1. one that only writes headlines (capped at 30 characters) 2. and one that only writes descriptions (capped at 90 characters). each agent is tuned to its specific constraint so the quality is way higher than cramming both into a single prompt so now he's got hundreds of fresh headlines and descriptions. but that's just the text. he still needs the actual visual ad creative, the images and banners that go on facebook, google, etc. so he built a figma plugin that: 1. takes all those new headlines and descriptions 2. finds the ad templates in his figma files 3. and automatically swaps the copy into each one. up to 100 ready-to-publish ad variations generated at half a second per batch. what used to take hours of duplicating frames and copy-pasting text by hand so now the ads are live. the next question is which ones are actually working. for that he built an MCP server (basically a custom integration that lets claude talk directly to external tools) connected to the meta ads API. so he can ask claude things like: • "which ads had the best conversion rate this week" • or "where am i wasting spend" and get real answers from live campaign data without ever opening the meta ads dashboard and the part that ties it all together and closes the loop: he set up a memory system that logs every hypothesis and experiment result across ad iterations. so when he goes back to step one and generates the next batch of variations... claude automatically pulls in what worked and what didn't from all previous rounds. the system literally gets smarter every cycle. that kind of systematic experimentation across hundreds of ads would normally need a dedicated analytics person just to track the numbers from the doc: ad creation went from 2 hours to 15 minutes. 10x more creative output. and he's now testing more variations across more channels than most full marketing teams a $380 billion company. and their entire growth marketing operation (not GTM) = just one person and claude code lol truly unbelievable

why I’ve learned making a truly American-made, American-wool sweater is so darn difficult: because there is no simple leap from sheep to finished garment. there are a whole lot of steps in between, and each one is a potential choke point requiring specialized equipment, labor, expertise, and scale that the US has largely lost through globalization, offshoring, regulation, and industrial collapse. it’s incredibly hard to centralize into one efficient domestic pipeline. Instead, wool often gets shipped all over the country between steps, or exported raw, which wrecks both economics and traceability. all the steps from sheep the sweater: 1. wool grown on American sheep farms (sheep numbers are way down; much of the wool clip comes from meat breeds or coarser fleeces, with fewer apparel-grade flocks) 2. shearing (a brutal seasonal trade with too few skilled shearers left) 3. skirting, sorting, and grading the raw fleece (manual quality control to remove manure, tags, and junk, and to separate by fineness, length, and overall quality) 4. scouring (washing out lanolin, grease, dirt, and vegetable matter. this is one of the biggest bottlenecks in the whole chain) 5. carding, and combing if a worsted yarn is desired (to align fibers into sliver or roving for spinning) 6. spinning into yarn (another major bottleneck, especially at commercial scale) 7. dyeing the yarn, or sometimes the fiber/top (a specialized and heavily regulated process) 8. knitting the sweater panels, or the full garment (requires expensive industrial machinery and people who know how to run it) 9. assembly (linking and seaming panels, attaching sleeves, collars, and finishing components) 10. finishing (fulling, washing, blocking, labeling, inspection, and quality control) one weak link, one mill closure, one missing processor, and the whole batch can die or take too long to keep economically viable. that’s why real American-wool sweaters are rare and expensive. Not because nobody wants them, but because the domestic infrastructure to make them at scale barely exists.

2026 GNC: “Hey we got the latest FDA compliant C4 formula. Can we interest you in some white labeled whey?” 2010 GNC: “DO METH AND DRINK 5k CALORIES YOU FUCKING TWINK”