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🧪 New benchmark out
New benchmark out of Meta FAIR, Stanford, and Harvard called ProgramBench. The setup: you get a compiled executable plus its docs. Source code stripped. Rebuild the program from scratch in any language you want. Tests check input/output behavior against the original binary. 200 tasks, from small CLI tools up to FFmpeg, SQLite, and the PHP interpreter. 📊 Results across 9 models: Zero tasks fully solved. Opus 4.7 was the best, passing 95% of tests on only 3% of tasks. GPT 5.4, Gemini 3.1 Pro, and Haiku 4.5 hit 0% in that bucket. The interesting part is section 5. Even the model solutions that "worked" looked nothing like the human reference. Median 1,173 lines vs 3,068 in the original. Flat directories. Fewer functions, each one longer. GPT 5.4 wrote 96% of its final code in a single turn on most tasks and never modified existing files on roughly 40% of runs. 🎯 Why it matters for us: The benchmark separates writing code from designing software. Models can produce syntax all day. They cannot yet decompose a real system into coherent modules, pick the right abstractions, or organize a codebase the way a working engineer would. That gap is what computational orchestration points at. It is also where the durable value lives. 🛠 Try it: Pick an easier task from the repo (the paper flags nnn, fzf, gron, and jq as more tractable). Run it against Claude or your model of choice. Watch where you and the model split. Note the design decisions you make that the model never even raises. Post your runs and attempts to create a harness that would allow the model to do it. Wins, failures, weird outputs, all of it. 📍 Paper and Repo: ProgramBench I'm building something on top of this right now. More soon.
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I come asking for help!
Because of the Amazing support you all gave for the first Round Wylder (my step daughter) made it into the second round! You can vote once a day and some days are 2x votes ! I would love love love if any of you support her going to work with some of the best animal rescues in the world to just cast at least one free vote if you can! You can vote here! Not Ai related so sorry for that ! Wylder | Junior Ranger
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Welcome to Clief Notes. Here's where to start.
1. Watch the intro video and introduce yourself in the intro post here 2. Start with The Foundation (free course). Concepts, folder architecture, prompting framework. Everything else builds on this. 3. Check in at the bottom of each lesson. Polls, discussion posts, other members working through the same stuff. Use them. 4. When you're ready to build real things, move to Implementation Playbooks (Level 2). When you're ready to build your own tools, Building Your Stack (Level 3). 5. Post your work. Ask questions. Help others when you can. What are you here to build?
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Class, meet Brofessor.
TL;DR /brofessor is ICM-based skill that helps clean up AI-agent workspaces. It's also a small persona factory: the audit engine stays the same, but you can switch and create personas, and even tune them with a CONFIG.md It checks whether your docs, routing, stages, review gates, and context-loading patterns make sense. It finds bloat, confusion, contradiction, and overbuilt process junk. Then it proposes the smallest safe fix, waits for approval, executes only what you approve, and wraps up with a clear synthesis. It is half workspace auditor, half context janitor, half theatrical menace. Yes, that is three halves. The math is fine. Keep moving. Grab it, run it on a messy workspace, and let it bully your docs into behaving. - Brofessor iight now that that's out of the way, I'm going to explain why this shit actually bangs - actually fuck it imma let him explain this too. ps - this skill was made in 3 prompts, I can show you how I did it if anyone's curious... - yuckyyy Yep — replace the longer **“How It Works”** section with this: ```md ## How It Works Brofessor works because the prompt is built like a layered workspace auditor, not a generic “clean up my docs” request. ### 1. Core Directive: Treat the Workspace Like a Factory The prompt frames the repo as a multi-stage context system: - each stage has inputs - each stage produces outputs - each stage loads only what it needs - stable rules live outside active work - review gates control movement between stages So Brofessor is not asking, “Are these files tidy?” It is asking, “Can agents move through this workspace predictably?” ### 2. Layer Model: Give Every File a Job Brofessor audits through five layers: - **Layer 0:** workspace identity - **Layer 1:** map/orientation - **Layer 2:** routing/context loading - **Layer 3:** stable rules, contracts, criteria - **Layer 4:** active products and outputs This prevents the classic markdown soup problem where `CLAUDE.md`, `CONTEXT.md`, plans, rules, drafts, and review notes all start pretending to be the boss.
Class, meet Brofessor.
🏆 WEEKLY COMP #3: THE SPECIALIST 🏆
💰 $325 CASH PRIZE 💰 That's a full year of Premium. Win this and your membership pays for itself. 📋 THE CHALLENGE You just got hired again. Different client this time. Meet Sarah, a freelance copywriter who's drowning in context-switching. 📎 Download the full client brief attached to this post. Short version: She works with three types of clients (SaaS founders, ecommerce brands, local service businesses) and starts from scratch every project. She doesn't need another tool. She needs a system. Your job is to build her a folder-based AI specialist she can drop into any Claude project. The folder IS the deliverable. 🗂️ THIS WEEK YOU LEARN ICM Up until now, comps have been "build a thing." This week you utilize the methodology taught throughout the community. 🧠 Folders as architecture. That's it. That's the whole concept this week. Your specialist is a folder with five things: - 📄 identity.md (who they are) - 📐 rules.md (how they respond) - 💬 examples.md (what good looks like) - 📚 reference/ (source material) - 📖 README.md (how to use it) Drop the folder into a Claude project. Claude becomes the specialist. Reusable. Shareable. Portable. 🎯 PICK YOUR SPECIALIST Don't pick copywriting. That's Sarah's example. Pick something YOU would actually use. A few sparks to get you thinking: - A salary negotiation coach - A meal planner that knows your dietary restrictions - A code reviewer for your stack - A real estate market analyst for your city - A technical recruiter screener - A grant writer for nonprofits in your space The more specific, the better. "Marketing expert" is not a specialist. "B2B email expert for enterprise SaaS targeting CFOs" is. 💼 WHY THIS ONE LANDS ON YOUR RESUME Real talk. Winning a comp in a Skool community doesn't get you a job by itself. But shipping a working folder-based AI specialist with a clean README and a public repo? That's a portfolio piece.
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Jake Van Clief, giving you the Cliff notes on the new AI age.
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