the "no one ever ships anything with AI" people are in shambles

Boris Cherny, the engineer who built Claude Code, just showed how he actually works now "i don't write the source code. i talk to an agent and the agent writes it for me. and now we're making the next leap.. i don't even talk to the agent anymore" the person who built the tool doesn't write code by hand. he's already moving past prompting it himself 18 minutes, completely free here's what nobody connects to it: that same shift is how one person builds a real company now, alone i wrote the exact system i used.. a live product, 320 on the waitlist, 3 B2B contracts signed at $2,000/month, a $336K projection with the math shown watch his video. then build the thing it makes possible. article below

two months back I was clueless about how to use agents for my work i was desperate to learn, and in that desperation, I finally figured how to best implement an agentic system that fits my needs, turns my work into a game of multi-agent workflows, and delivers top notch research for context, since I've started using claude code + hermes combination, my hit rate (positive trades I could identify) increased to 68% i.e. 2 of every 3 trades turned at least 3x the capital but the benefits aren't just monetary, they're transformational because it taught me more about the future of knowledge work that not even reading a thousand mckinsey reports would've done In a series of articles written in two parts I reveal the exact setup I use, and painstakingly capture every single command I ever wrote to bring it to life I hope this helps you take your first steps in building your very own second brain + army of super intelligent machines working at your disposal part 2 is linked in the comments below (X ran out of enough characters to allow me to ship this in one shot) happy reading

The question is no longer whether non-human intelligence exists. The deeper question is whether human civilization has been living inside a managed technological narrative. If so, that is a Pluto-in-Aquarius issue. Not merely hidden aircraft. Hidden systems. Not merely unexplained sightings. Controlled knowledge. Not merely disclosure. A crisis of epistemic authority. The 2026 record shows this crisis has entered a new stage. UAP is no longer confined to isolated hearings, sensational claims, or fringe speculation. It is now embedded in legislation, reporting mandates, declassification systems, classification-guide accounting, congressional letters, AARO public materials, rolling federal releases, whistleblower-immunity demands, and public allegations of hidden money and non-human intelligence. That does not mean disclosure has fully emerged. It means the architecture of concealment is now visible enough to be challenged. And that is the real disclosure story. Not a single announcement. Not one headline. Not one hearing. A system under pressure. Pluto in Aquarius does not simply expose secrets. It exposes the covert and powerful network that protected them.

Write loops, not prompts: Fable 5 achieves six times the performance of Opus 4.7 with an independent judge. To address the common flaw in large models of excessive self-confidence during self-correction, the Anthropic team conducted comparative tests in a machine learning training challenge. Instead of allowing Fable 5 to engage in self-critique, they used CMA’s Outcomes feature to generate a scoring agent within an independent context window, acting as a judge according to a specification document containing nine metrics. Results showed that introducing an independent judge in a feedback loop improved Fable 5’s pipeline enhancements by six times over Opus 4.7. Fable 5 not only tended to attempt major architectural adjustments but also persisted in fixing issues even when faced with quantitative regressions, demonstrating strong engineering resilience. In contrast, Opus 4.7 remained constrained by its decision limitations, settling for conservative scalar constant tuning based on templates. In another experiment evaluating cross-session online learning in database question answering, the team leveraged a shared mounted filesystem to distill five steps for efficient memory utilization by large models: record failures, diagnose causes, verify facts, extract general rules, and directly retrieve rules. Comparative tests revealed significant performance gaps among models. Sonnet 4.6 merely superficially logged errors and made blind guesses, rarely consulting historical data. Opus 4.7 could establish pattern references with uncertainty markers but achieved only about 17% verification coverage. Fable 5, however, completed the full memory chain with 73% verification coverage and distilled diagnostics into generalizable rules. The experiments demonstrate that designing self-correction loops responsive to feedback and autonomous memory management holds far greater practical value than directly writing prompts to guide large models. #AI #AIAgent @grok

THEY PUT FABLE 5 IN A LINEUP WITH GPT-5.5 AND GEMINI 3.1. IT WASN'T A COMPARISON. IT WAS AN EXECUTION. Same prompts, four models: → 3D fluids, volumetric animation, physics sims - Fable 5 renders what the others sketch → Senior engineer benchmark: 91/100 vs 63 (Opus 4.8) vs 62 (GPT-5.5) Now translate that gap into agency work: → KOL scouting: 5-7 days → 4–6 hours → Landing page: 3-5 days → 1 day → Same 12 people: 15 clients → 30. $120k → $250k/mo. The visual gap is the same gap in your back office. Pick accordingly. Free on paid Claude plans until June 22. Comment "PLAYBOOK" and I'll send you the step-by-step setup guide - free.

BREAKING: Claude Fable 5 just replaced a marketing agency's entire back office!! Claude Fable 5 can now: Scout & score 300 influencers in hours - ER, fake followers, audience overlap Fact-check creators' stats screenshots with vision Watch ad accounts 24/7 and reallocate budgets on CPA spikes Build campaign landing pages from a reference screenshot - tests included Write senior-analyst client reports from dashboards and PDFs Result: one agency went 15 → 30 clients with the same 12 people. $120k → $250k/mo. this is actually insane… Watch this. Comment "PLAYBOOK" - I'll send the step-by-step setup guide, free 👇

AI isn't even going to replace coders. Some claimed that AI can replace teachers 😂