Jaekee

Legit Check on me if we had done business before. Thanks! 🙏🏻👍🏻

@starks_arq @elonmusk ELON

This is what @elonmusk childhood looked like. I spent over $10,000 on Seedance 2.0 in the past few weeks... i decided to create a guide with EVERYTHING i know about this model: - workflows - prompts - how to get the best outputs RT + reply "ELON" and i'll send it for free (must be following so i can dm)

For everyone asking how to install it, I published the CLAUDE.md from this thread, along with a few extra fixes. Drop it in your project root - it overrides the system prompts and forces employee-grade output. star it on github if it saves your codebase: github.com/iamfakeguru/cl…

“You've hit your limit · resets 1am (America/Los_Angeles) /extra-usage to finish what you're working on.”

@jordanreviewsit I feel attacked 🤣🤣🤣

“Can we hop on a quick call? Easier to explain”

Computer use is now in Claude Code. Claude can open your apps, click through your UI, and test what it built, right from the CLI. Now in research preview on Pro and Max plans.

@claudeai Crazy

Claude 4.6 is a good programmer but writes insanely severe bugs constantly, it won't catch them all in audits, nor will other claudes You need codex 5.4 auditing every commit 4+ times. If you don't believe me, try it. I have an /auditcodex skill for it github.com/sterlingcrispi…

AI Twitter is the new Sneaker Twitter

Today, we're releasing Omma. Create 3D, Websites, and Apps with AI agents. Start now on omma.build Follow @omma_ai

Uni-1 is here! A new kind of model that thinks and generates pixels simultaneously. Less artificial. More intelligent.

Today I'm open sourcing my secret project I use 1000+ times daily Introducing ClawFlows - workflow system for OpenClaw - simple, reliable, powerful - instantly enable 100+ prebuilt workflows @davehappyminion runs my life with ClawFlows: - morning briefing: weather, messages, daily inspiration - meeting prep: research & brief me on who I'm meeting - life coach: reads my health data & suggests improvements and many more... Been using it daily for 1.5 months and massively leveled up my life. Dave and I poured a lot of love and energy into this to help your openclaw improve your life! enjoy ❤️

Wasn't joking about this one btw You can reverse-engineer pretty much any part of Apple platform internals in seconds using Claude or Codex with Hopper MCP

We just released Claude Code channels, which allows you to control your Claude Code session through select MCPs, starting with Telegram and Discord. Use this to message Claude Code directly from your phone.

Meet the new Stitch, your vibe design partner. Here are 5 major upgrades to help you create, iterate and collaborate: 🎨 AI-Native Canvas 🧠 Smarter Design Agent 🎙️ Voice ⚡️ Instant Prototypes 📐 Design Systems and DESIGN.md Rolling out now. Details and product walkthrough video in 🧵

How to become AI engineer in next 6 months: By the end, you want to be able to: - build LLM apps end-to-end - use APIs from OpenAI / Anthropic / open-source stacks - design prompts and context properly - add tool calling and structured outputs - deploy real projects So, let’s discuss your roadmap month by month Month 1: Get solid enough in coding and fundamentals What to learn: - Python really well - Git + GitHub - CLI / terminal basics - JSON, APIs, HTTP, async basics - basic SQL - basic data handling with pandas - virtual environments, package management, error handling - FastAPI or Flask Month 2: Master LLM app development What to learn: - prompting fundamentals - system vs user instructions - structured outputs / JSON schemas - function/tool calling - streaming responses - conversation state - cost / latency / token basics - failure handling - prompt injection awareness Month 3: Learn RAG properly What to learn: - embeddings - chunking - vector databases - metadata filtering - reranking - retrieval quality issues - hallucination reduction - citations and grounding Month 4: Agents, tools, workflows, evals - agent loops - tool selection - state management - retries - when NOT to use agents - multi-step workflows - evaluation harnesses - task success metrics Month 5: Deployment, product thinking, and reliability What to learn: - FastAPI production patterns - Docker - background jobs - queues - auth + API key security - logging - observability - prompt/version management - eval dashboards - cost monitoring - rate limits - caching Month 6: Specialize and become hireable these knowledge and skills you gained can be applied in three directions you need to choose one of them and focus on practice although everything mentioned above is also best learned purely through practice Direction 1: AI product engineer Best if you want startup jobs fast Focus on: - LLM apps - RAG - agents - deployment - product UX Direction 2: Applied ML / LLM engineer Focus on: - fine-tuning - when to fine-tune vs prompt - evaluation - inference optimization - open-source models - training pipelines Direction 3: AI automation engineer Focus on: - workflow orchestration - business process automation - multi-tool systems - CRM, docs, email, support, ops use cases This roadmap will help you go through a practical path, and the key is to study each of these points and then test them in real work By month six, you will already have several built products or examples of completed tasks And it will be much easier to get a job as an AI engineer Save it so you don't lose it and can return to study later

This guy literally explained why some people become successful while others stay average.

BREAKING: design-first vibe coding is here! import your Figma designs into Anything and go straight to building

Share your best Grok Imagine prompts! Most people don’t know how, so this will help them.