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Radha Tripathi

@Radha_AI • 15,580 subscribers

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A Guy paying $3,200/month to run AI agents in the cloud. Then he stacked 4 Mac Minis on his desk. Cost: • $2,396 one time • $12/month electricity Result: • Cloud bill: $3,200 → $0 • Faster response times • Private data stays local • $38,000+ saved in year one The craziest part? Once AI runs on your desk, every experiment becomes free. The cloud isn't always cheaper.

A Guy paying $3,200/month to run AI agents in the cloud. Then he stacked 4 Mac Minis on his desk. Cost: • $2,396 one time • $12/month electricity Result: • Cloud bill: $3,200 → $0 • Faster response times • Private data stays local • $38,000+ saved in year one The craziest part? Once AI runs on your desk, every experiment becomes free. The cloud isn't always cheaper.

40,773 просмотров

Claude just solved one of AI coding’s biggest problems. 🤯 It can now turn your entire codebase into: → an interactive architecture map for humans → a memory system for AI agents So the next coding agent instantly understands your APIs, components, auth, DB flows, and dependencies. No more dropping AI into a random repo with zero context. Your codebase can literally explain itself now.

Claude just solved one of AI coding’s biggest problems. 🤯 It can now turn your entire codebase into: → an interactive architecture map for humans → a memory system for AI agents So the next coding agent instantly understands your APIs, components, auth, DB flows, and dependencies. No more dropping AI into a random repo with zero context. Your codebase can literally explain itself now.

23,136 просмотров

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IIT, chalkboard, zero slides A 22-year-old at IMC gets paid $500,000 in year one for exactly one skill. Not picking winners. Seeing every trade as a full spread of outcomes, each one with its own odds attached. Her name is Prabha Sharma. She teaches this exact skill on a bare chalkboard, for free, in a lecture almost nobody outside that room has ever watched. Most people see a trade as a coin flip. Win or lose. Nothing else. You already think this way about your own trades, don't you. That's the mistake. A trade is never just win or lose. It's a spread of outcomes, each with its own odds and its own payoff attached before a single dollar moves. The formula for this is called the binomial distribution, and it's far simpler than it sounds. Here it is: P(X = k) = C(n,k) × p^k × (1-p)^(n-k) n = how many bets you take p = your real win probability on each one k = how many of them you actually want to win Try it yourself right now. Say you have a genuine 55% edge (p = 0.55) and you take 10 trades (n = 10). What's the actual chance you win at least 6 of them? Plug in k = 6: P(X=6) = C(10,6) × 0.55^6 × 0.45^4 ≈ 23.8% Add that up across every value of k from 6 to 10, and your real odds of winning at least 6 out of 10 land around 47%. Just under a coin flip, with a genuine edge in your favor. Sit with that for a second. A 55% edge does not feel like 55% once you actually run the math over a small number of trades. This is the exact formula that decides how much to risk on any single bet, once you actually know your edge. Sharma builds the whole thing from zero, in notation simple enough for a complete beginner to follow every step. Wall Street pays $500,000 a year for this one skill. An IIT professor already gave the entire thing away, for free, on a blackboard nobody bothered to watch.

IIT, chalkboard, zero slides A 22-year-old at IMC gets paid $500,000 in year one for exactly one skill. Not picking winners. Seeing every trade as a full spread of outcomes, each one with its own odds attached. Her name is Prabha Sharma. She teaches this exact skill on a bare chalkboard, for free, in a lecture almost nobody outside that room has ever watched. Most people see a trade as a coin flip. Win or lose. Nothing else. You already think this way about your own trades, don't you. That's the mistake. A trade is never just win or lose. It's a spread of outcomes, each with its own odds and its own payoff attached before a single dollar moves. The formula for this is called the binomial distribution, and it's far simpler than it sounds. Here it is: P(X = k) = C(n,k) × p^k × (1-p)^(n-k) n = how many bets you take p = your real win probability on each one k = how many of them you actually want to win Try it yourself right now. Say you have a genuine 55% edge (p = 0.55) and you take 10 trades (n = 10). What's the actual chance you win at least 6 of them? Plug in k = 6: P(X=6) = C(10,6) × 0.55^6 × 0.45^4 ≈ 23.8% Add that up across every value of k from 6 to 10, and your real odds of winning at least 6 out of 10 land around 47%. Just under a coin flip, with a genuine edge in your favor. Sit with that for a second. A 55% edge does not feel like 55% once you actually run the math over a small number of trades. This is the exact formula that decides how much to risk on any single bet, once you actually know your edge. Sharma builds the whole thing from zero, in notation simple enough for a complete beginner to follow every step. Wall Street pays $500,000 a year for this one skill. An IIT professor already gave the entire thing away, for free, on a blackboard nobody bothered to watch.

36,733 просмотров • 1 месяц назад

Claude Code feels completely different once you install this. Anthropic quietly released an official plugin called claude-code-setup and it basically turns Claude Code from “pretty good” into an actual AI dev environment. It scans your project and recommends: → hooks → skills → MCP servers → subagents → automations Then sets everything up step-by-step for you. Most people are using Claude Code completely vanilla… which is why their experience feels messy. The real power comes from the ecosystem around it. Install: /plugin install claude-code-setup@claude-plugins-official Bookmark this before you forget it.

Claude Code feels completely different once you install this. Anthropic quietly released an official plugin called claude-code-setup and it basically turns Claude Code from “pretty good” into an actual AI dev environment. It scans your project and recommends: → hooks → skills → MCP servers → subagents → automations Then sets everything up step-by-step for you. Most people are using Claude Code completely vanilla… which is why their experience feels messy. The real power comes from the ecosystem around it. Install: /plugin install claude-code-setup@claude-plugins-official Bookmark this before you forget it.

75,447 просмотров • 4 месяцев назад

A GUY TESTED EVERY AI MINI PC SO YOU DON'T HAVE TO. The winner? Not the one most people expected. Every box used the same AMD Ryzen AI Max+ 395 chip and 128GB memory. The difference came down to the boring stuff: → Dual 10Gb Ethernet → 80 Gbit/s USB4 V2 → PCIe expansion → Better memory configuration Wild part: a simple memory split changed performance by up to 15% on the exact same silicon. Local AI hardware is becoming a commodity. The next battle isn't chips. It's ports, software, and ecosystem.

A GUY TESTED EVERY AI MINI PC SO YOU DON'T HAVE TO. The winner? Not the one most people expected. Every box used the same AMD Ryzen AI Max+ 395 chip and 128GB memory. The difference came down to the boring stuff: → Dual 10Gb Ethernet → 80 Gbit/s USB4 V2 → PCIe expansion → Better memory configuration Wild part: a simple memory split changed performance by up to 15% on the exact same silicon. Local AI hardware is becoming a commodity. The next battle isn't chips. It's ports, software, and ecosystem.

23,648 просмотров • 4 месяцев назад

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