Intelligence Artificial

i find when talking with smart people outside of crypto the only subject theyre remotely interested in is perps

The time to be bearish was $BTC over $100k. Not now at $65k-70k, with alts showing clear accumulation schematics. Now is the time to be bullish. Have a good Sunday.

@blknoiz06 Gang gang we still here 🫡

crypto twitter check in

All it takes is one asset, one thesis and one trade to change your entire life

S&P Dow Jones Indices and trade[XYZ] have joined forces to launch the first official S&P 500 perpetual contract, available exclusively on Hyperliquid. For 69 years, the S&P 500 has been a defining reference point for global finance. Until now, access to that benchmark has been shaped by market hours, intermediaries, and geography. Today, that changes. The S&P 500 perp is now available 24/7/365, anchored by the official index data required for deep liquidity and institutional confidence at scale.  SPDJI helped define modern indexing. They are stewards of an iconic benchmark, the standard against which portfolios across the globe are measured. We are honored to bring that legacy on-chain. Trade[XYZ] is bringing the world's most iconic assets towards a future of global, continuous markets — a future powered by Hyperliquid.

& it’s not just llm’s telling you. you are in a reinforcement loop when you’re on the internet & you don’t even realize it.

@DeRonin_ @threadreaderapp unroll

How to become an AI Automation Engineer in the next 6 months: By the end, you want to be able to: - build end-to-end automated workflows for real businesses - connect AI to the tools companies already use (CRM, email, docs, support) - replace repetitive human tasks with reliable AI systems - charge clients $500–5k/mo and deliver real ROI So, let's discuss your roadmap month by month Month 1: Get your foundation right What to learn: - Python basics (you don't need to be a senior dev, just functional) - how APIs work (HTTP, JSON, auth, webhooks) - no-code/low-code tools: Make, n8n, Zapier (pick one and go deep) - how to read API docs and connect two tools together - basic prompt engineering (inputs, outputs, instructions) - what LLMs are good at vs. what they're not Your first project: automate something in your own life with Make or n8n Month 2: Master AI + workflow automation What to learn: - OpenAI / Anthropic API basics (completions, system prompts, structured outputs) - how to embed AI into a workflow (not just use ChatGPT manually) - function/tool calling (how AI decides what action to take) - chaining steps: trigger → AI decision → action → output - error handling and fallback logic - cost awareness (tokens, API pricing, when AI is overkill) Your project: build an AI workflow that reads an email, classifies it, and routes it automatically Month 3: Build the core automation use cases What to learn: - lead generation automation (scraping, enrichment, outreach sequencing) - AI-powered cold outreach (personalization at scale) - CRM automation (auto-update fields, log calls, create tasks) - content pipelines (brief → draft → format → publish) - meeting automation (transcript → summary → action items → CRM entry) - internal knowledge bots (connect docs/Notion/Drive to a Q&A interface) Your project: build a full lead gen → outreach → CRM pipeline for a fake or real client Month 4: AI agents and multi-step systems What to learn: - what agents actually are - when to use agents vs. simple chains - tool selection and routing logic - state management across steps - human-in-the-loop checkpoints - how to make agents reliable (retries, fallbacks, logging) - multi-agent setups (when one agent hands off to another) Your project: build a support agent that handles tier-1 tickets, escalates edge cases, and logs everything Month 5: Make it production-ready and sellable What to learn: - how to deploy workflows (n8n self-hosted, Make teams, custom Python + FastAPI) - logging and observability (know when something breaks before your client does) - prompt versioning (don't change prompts randomly in live systems) - security basics (API keys, access control, no exposed credentials) - how to handle rate limits, retries, and downtime gracefully - how to document and hand off a system to a non-technical client - basic SLAs (uptime, response time, what you're responsible for) Your project: take one of your month 3-4 builds and make it client-ready with docs, monitoring, and a clean handoff Month 6: Specialize, get clients, and start charging The skills you have now can go in three directions, pick one and go all in on outreach and portfolio Direction 1: Freelance automation builder Best if you want clients fast and income in 30-60 days Focus on: - 2-3 repeatable workflow templates (lead gen, support bot, content pipeline) - a simple case study for each - outreach to SMBs, agencies, coaches, SaaS founders - charge $500-2k/project to start, then move to retainers Direction 2: In-house automation engineer Best if you want stability and to work inside one company Focus on: - ops and internal tooling use cases - connecting AI to existing company stack (Slack, Notion, HubSpot, etc.) - building internal agents and dashboards - showing measurable time/cost savings Direction 3: AI automation agency Best if you want to scale beyond trading time for money Focus on: - building a repeatable service with clear deliverables - hiring or partnering to fulfill - niching down by industry (e.g. real estate, e-commerce, recruiting) - productizing workflows into templates you sell or license as always, the more practice you have, the better. The same applies to AI engineering to be honest, right now I'm preparing three articles at once, working on them 24/7, each with curated resource lists for every point so you don't have to search for everything yourself one article will cover resources to become an AI engineer the second one will cover resources to become an AI automation engineer the third one will stay a secret for now… but I promise it will be something very useful follow and turn on notifications so you don't miss it I really appreciate your support, see the feedback, and it motivates me to create even better content for you sometimes even at the cost of my own personal progress but once these articles are finished, we'll move to a new level of learning AI

@CL207 @chiefofautism Bro is Kim Jong Un

as a explosives and missile expert: this is p much a larp post from a typical overly engineering focused person doing what is actually more of a on hands mat-sci-chem project cat think he shud change his focus cus on rocket guidance is much easier than the actual underlying rocket working perfect, which isnt hard, just takes time and experience kno3-sucrose mixture is a very inefficient fuel, but despite the mixture being mid tier porpellant, cus the flame temperature, even though low (in mid 1000s C) the pressure + flow rate is high enough it will definitely chew thru the 3d printed nozzle's choke point in less than a second😹 and since the choke point of the nozel is no longer perfect circle, it will provide imperfect thrust and could start pushing the whole thing toward 1 direction consistently, but thats not even the worst part the fuel chamber also looks highly imperfect, cus from the video the fuel also is made terribly, in the video its got crumbles of fuel😹 from my experience in casting, it looks like he simply mixed while hot, then dried, then put into the case - since this isnt a binder-based propellant, the standard for kno3-sucrose would be to cast the molten mixture directly into a mold crumbles suck because they burn unevenly, and he also dosnt have a way of having the fuel to stick to his pvc pipe's interior, so the whole fuel can just start breaking off and flying around or rotate while its burning, and the whole thing dosnt seem like a perfect cylinder either which means any part of the fuel over-burning or having an instable burn, will start ripping thru the PVC pipe, and its not because he had no burn rate modifier compounds in the fuel either, the casting was just horrendous, theres so much issues and small tips left in note books of propellant manufactuerers that will never be shared publicly, but he can simply trial-error for a long time so tldr, the fuel is casted horribly and in crumbles, it will burn super unstably at unknown bun rate, a burn rate that is also not controlled across the chamber, the nozzle choke will immediately no longer be a perfect circle because it is made out of plastic and the choke will experience highly pressurized high speed hot gas flow, thus the whole thing simply wont even fly straight, no matter how much aerodynamic control the fins have 😼👍

someone built a $96 3D-PRINTED MANPADS rocket that recalculates its mid-air trajectory using a $5 sensor and piano wire its called Project Canard it integrates with distributed camera nodes to triangulate airborne targets and update flight paths in real-time it proves the barrier to advanced hardware has completely collapsed, moving precision weapons from defense labs to consumer garages the entire launcher and interceptor frame is 3D printed in PLA and runs off a standard off-the-shelf ESP32 microcontroller it even spins up a local Wi-Fi network so you can monitor live telemetry and arm the system directly from your laptop

The fact crypto traders have experienced real bear markets is a genuine edge compared to the tradfi crowd

@PopPunkOnChain What about untrim slayer cape?

Being a Runescape player directly translates to being a motivated employee. The best founders & engineers I know play Runescape. It takes on average 3,000 hours to max your Runescape account. Few things can train a brain as well as this. Max Cape = Instant Hire for me.

TLDR Oil Tokenomics: - 3 token system (Brent, WTI, Dubai), each produced on different chains - Not 1:1 redeemable - 3 main bridges (Hormuz, Malacca, Suez) to move oil between chains. Hormuz is down - Devs (OPEC, US) control mining rate + insider supply (SPR) + sanctions

$VIX perps are gonna be interesting. It’s not an asset that is typically traded perpetually. There is no spot underlying for it, it’s just an index. Current mechanisms to trade it are futures contracts / options, or an ETF like $UVXY though these suffer from volatility decay. I imagine funding rates will be perpetually high on $VIX due to the nature of the index. All in all, this should be a much better and simpler product than is currently offered, and it will be cool to see where avg funding / premium shakes out Hyperliquid

The global economy is held up by SF lying to NYC about how fast AI is growing and NYC lying to Abu Dhabi about how safe private credit is

“A moment of pain is worth a lifetime of glory. Remember that.”

“Hyperliquid began as an onchain decentralized exchange focused on crypto perpetual futures, but has since expanded into a broader, multi-asset derivatives venue.” Coinbase Research just pushed a well written report on HL, correctly covering team unlocks and importance of OI.

@blknoiz06 Who paid you to say that cuzz.

ethereum will trade @ $500 before $10,000

@mert Put a hat on so they can’t see the light reflecting and get you!!

@bunjil Yeahh wait until you find out Big bird is actually GCR. @GiganticRebirth

jane street is just the tip of the iceberg i’m hearing sesame street is involved

Stripe CEO says AI agents will we need a blockchain with 1 Billion TPS?! I beg your pardon.

All the smartest people you know are in a generational lock-in season right now