MasteringMachines AI

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MasteringMachines AI

MasteringMachines AI

@MstrMachines

Discovering Tomorrow's Reality. A platform that highlights the innovation and absurdity of the AI industry.

شامل ہوئے Mart 2023
166 فالونگ212 فالوورز
Corey Ganim
Corey Ganim@coreyganim·
Best OpenClaw breakdown I've seen from someone actually running a serious business on it. The 80/20: 1. Two memory layers (daily logs + curated long-term memory) 2. Pre-meeting briefs 60 min before every call 3. Post-meeting action items auto-routed to Todoist 4. Weekly self-improvement loop (the agent researches upgrades itself) 5. LLMs for reasoning, scripts for everything else 6. Morning/evening WhatsApp briefs He's managing a fundraise with 100+ LP contacts through this system. 605K views for a reason.
Ryan Sarver@rsarver

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MasteringMachines AI
MasteringMachines AI@MstrMachines·
Chinese models are making up a lot of ground lately.
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Vincent Koc
Vincent Koc@vincent_koc·
SOUL.md - who I am MEMORY.md - what I've lived DREAMS.md - what I'm becoming Great to start thinking more about symbolic and non-traditional approaches to agentic memory and self-reflection. Great read from @davemorin
Dave Morin 🦞@davemorin

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cinesthetic.
cinesthetic.@TheCinesthetic·
“Craft is knowing how to start, art is knowing when to stop.” Ben Affleck dropping that on AI wasn’t expected, but it actually cuts straight to the point.
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Albert Wenger 🌎🔥⌛
Albert Wenger 🌎🔥⌛@albertwenger·
Dear @tim_cook - make the @Apple neural engine low level APIs fully accessible to developers. Unleash the local and decentralized AI developer ecosystems on your amazing silicon. Return to the days of the Apple II and help rewrite computing history. Combined with sitting out the datacenter capex wars this would be an extraordinary legacy.
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Kyle Asay
Kyle Asay@KyleAsay_·
Levels of AI psychosis: Level one: You believe Claude's/ChatGPT's praise for you/your work is sincere and not just a ploy to keep you using the product Level two: You measure your output in number of lines of code/number of github pushes (even though you did none of the work) Level three: You stop caring about revenue/profit/growth and instead brag about money spent on AI tokens Have seen level one and two for a while. Seeing level three quite a bit more with founders posting screenshots of their Anthropic/OpenAI invoices to "brag" about how much money they are spending. Bizarre world.
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Luke Pierce
Luke Pierce@lukepierceops·
I mapped every AI automation opportunity across 25 industries. 10-15 pain points each. With the exact positioning, pricing range, and who to sell to. This took me 4 years and 80+ client engagements to figure out. A lot of AI agencies pick a niche and pray. They don't know the actual pain points. They don't know who the buyer is. They don't know what these companies are already paying for broken solutions. They don't know what the realistic project size is. So they end up competing on price for generic "AI automation" gigs. I've worked with marketing agencies, recruiting firms, e-commerce brands, law firms, real estate companies, healthcare practices, financial services, SaaS companies, manufacturing, construction, logistics, and more. Every single one has 10-15 processes that are bleeding money because they're still done manually. Here's what the guide covers for each industry: → The top 10-15 automation pain points (ranked by ROI) → Who the actual buyer is (CEO, COO, ops manager, etc.) → What they're currently paying for manual labor or broken SaaS → Realistic project pricing ($5K-$60K+ depending on scope) → The discovery questions that unlock the deal → How to position yourself as the expert even if you've never worked in that industry → Red flags to avoid (industries and company sizes that aren't worth it) 25 industries and 300+ specific automation opportunities. This is the cheat code for picking your niche and knowing exactly what to sell before you ever get on a call. Like + RT + reply "NICHE" and I'll send you the full guide (Must be following so I can DM)
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