Ronin — Crypto Influencer Profile, Reviews & ContentRonin

Fable 5 leaves your plan tonight steal its brain before it's gone.. then a cheaper model keeps its output for you capture 4 things while you still have it: 1. standards → make Fable write your CLAUDE.md + skills as checkable quality bars, so Opus hits Fable's bar 2. strategy → a roadmap Fable already reasoned through, so Opus just executes it 3. knowledge → deep research atomized into linked notes, the context every session reads 4. reasoning → a recorder skill that saves how Fable cracked each hard problem, for next time wire the recorder to fire on its own.. drop this in CLAUDE.md: ## learning law after every solved problem, run the extract-approach skill a solution without its learnings note is unfinished work then route against a rubric, not a vibe: - Opus runs the task, reading Fable's playbook first - a judge grades the output against the quality bar from step 1 - only what fails the bar escalates to a frontier call most work never escalates.. capturing costs nothing today, routing runs for a fraction you're not upgrading Opus.. you're removing the problems that needed a genius the full playbook is in the article below ↓ read it before midnight

IMPORTANT RESOURCES: Repo: http://github.com/limitless-labs-group/agents-starter Join the builders community: http://t.me/LimitlessBuildersChat https://t.co/NwFQG0xTu2

everyone thinks you can point an LLM at prediction markets and "print money" i tested it on Limitless that's not what happens recent benchmark: 7 frontier models on live markets only 2 made money the rest lost while reporting high confidence so the edge isn't "let AI trade" the edge is knowing WHERE the model is actually sharp here's the forecaster i built on the Limitless API: [ how it works ] - pulls live markets via the Limitless API - runs each through an LLM with a research step (news, prices, context) - forces a probability, not a vibe - compares the model's number vs the real market odds - only flags markets where the gap is real AND the reasoning holds the useful part: it filters out the markets where the model is just loud and confident which is most of them what's left is a short list where the model might actually have an edge every piece is replicable repo + full breakdown drops in the next post still early financial risk is real this is research, not advice

nobody gets a $350k offer from Anthropic with a certificate they get it by showing what they've shipped 5 pet projects that make you unrejectable: 1. a production RAG system chat-with-your-docs with reranking + citations, deployed.. the single most in-demand skill right now 2. an agent from scratch, zero framework proves you understand the loop.. not just how to glue LangChain together 3. an eval harness anyone can demo.. proving it works across 100 inputs is what separates seniors from juniors 4. a fully deployed product docker, auth, cost caps, logging.. survives real traffic at 2am 5. a real business automation lead qualification or support triage that saves someone actual money they don't care what you studied.. they care what you shipped the full roadmap to build all 5 is in the article.. save it

i guess this is the only article you need to understand the narratives of the next decade [ my takes: ] > if even the military and police automate, your work will too.. be the one building the automation, not the one replaced by it > AI will find edges in every field no human can see.. pick a niche and let it find yours before someone else does > the current world order isn't guaranteed.. build things that stay useful even when the ground shifts > a line is forming between people who own AI systems and people who just use them.. get on the ownership side now > the biggest AI leap is still ahead of us.. build for the model you'll have in a year, not today's 46 predictions in total.. read every one