wandermist

@beamnxw thanks, very useful!

📂 Anthropic AI Ecosystem ┃ ┣ 📂 Foundation Models (Tiered) ┃ ┣ 📂 Claude Haiku 4.5 - fastest, lowest cost ($1/$5 per 1M tokens), 200K context ┃ ┣ 📂 Claude Sonnet 4.6 - balanced, best price/performance ($3/$15 per 1M), 1M context ┃ ┣ 📂 Claude Opus 4.7 - predecessor flagship, still available ($5/$25 per 1M) ┃ ┣ 📂 Claude Opus 4.8 - current flagship, launched May 28 2026 ($5/$25 per 1M) ┃ ┣ 📂 Claude Fable 5 - Mythos-class, GA June 9 2026, state-of-the-art ($10/$50 per 1M) ┃ ┗ 📂 Claude Mythos 5 - Mythos-class, no safety classifiers, Project Glasswing only ($25/$125 per 1M) ┃ ┣ 📂 Core Capabilities ┃ ┣ 📂 1M Token Context - entire codebases, textbooks (Opus 4.6+, Sonnet 4.6 beta, Fable 5) ┃ ┣ 📂 128K Max Output - long-form generation (Opus 4.8, Fable 5) ┃ ┣ 📂 Computer Use - 84% Online-Mind2Web (Opus 4.8), controls desktop via VM ┃ ┣ 📂 Extended Thinking - visible chain-of-thought, adjustable effort levels ┃ ┣ 📂 Vision Input - image analysis across all tiers (text + vision in, text out) ┃ ┗ 📂 Tool Use & MCP - function calling, external tool integration ┃ ┣ 📂 Effort Control (New in 4.8) ┃ ┣ 📂 Low - fastest responses, minimal reasoning ┃ ┣ 📂 Standard - balanced speed/quality ┃ ┣ 📂 High - default for Opus 4.8, deeper analysis ┃ ┣ 📂 XHigh - extended thinking for complex problems ┃ ┗ 📂 Max - maximum reasoning depth, highest token cost ┃ ┣ 📂 Claude Code (Terminal Agent) ┃ ┣ 📂 `/loop` - auto-iterates until tests pass ┃ ┣ 📂 `/ultrareview` - enterprise security & scalability audit ┃ ┣ 📂 Worktrees - isolated branches for safe experimentation ┃ ┣ 📂 Fast Mode - 2.5× speed at 2× cost ($10/$50 for Opus 4.8) ┃ ┣ 📂 Dynamic Workflows - parallel subagents, up to 1,000 per run (research preview) ┃ ┗ 📂 Claude Code Channels - Telegram & Discord integration ┃ ┣ 📂 Dynamic Workflows (Research Preview) ┃ ┣ 📂 JavaScript Orchestration - Claude writes script, runtime executes ┃ ┣ 📂 Parallel Subagents - up to 16 concurrent, 1,000 total per run ┃ ┣ 📂 Plan → Execute → Verify → Converge - adversarial review cycle ┃ ┣ 📂 Resumable Runs - interrupted workflows resume in same session ┃ ┣ 📂 Bun Rewrite Example - 750K lines Rust, 99.8% tests pass, 11 days ┃ ┗ 📂 Access - Max, Team, Enterprise; Pro opt-in via `/config` ┃ ┣ 📂 Claude Cowork (Desktop Agent) ┃ ┣ 📂 Local File Access - read/edit/create files in any folder ┃ ┣ 📂 Scheduled Tasks - cron/webhook/API-triggered routines ┃ ┣ 📂 Cowork Projects - persistent multi-session workspaces ┃ ┣ 📂 Auto-mode Classifier - auto-approves safe actions, flags destructive ┃ ┣ 📂 Google Workspace - Drive, Docs, Sheets, Calendar integration ┃ ┗ 📂 Notion / Asana / Box - third-party productivity tools ┃ ┣ 📂 API & Developer Features ┃ ┣ 📂 Messages API - mid-conversation system messages without breaking cache ┃ ┣ 📂 Prompt Caching - 90% discount on cache hits, min 1,024 tokens ┃ ┣ 📂 Batch API - 50% off all token rates for async workloads ┃ ┣ 📂 Programmatic Rate Limits - dynamic quota management ┃ ┣ 📂 Code Execution - $0.05 per container-hour, 50 free hours/day ┃ ┗ 📂 Web Search - $10 per 1,000 searches, server-side tool ┃ ┣ 📂 Productivity Features ┃ ┣ 📂 Projects - isolated workspaces with persistent docs & instructions ┃ ┣ 📂 Artifacts - interactive code preview, full-stack apps in chat ┃ ┣ 📂 Memory - chat summaries + file-system `/memory` folder ┃ ┣ 📂 Research Mode - multi-source reports via web + integrations ┃ ┣ 📂 Skills - composable `SKILL.md` folders with progressive disclosure ┃ ┗ 📂 Web Search - real-time with inline citations ┃ ┣ 📂 MCP (Model Context Protocol) ┃ ┣ 📂 Open Standard - 6,000+ integrations, community-driven ┃ ┣ 📂 Remote MCP Connectors - Pro/Max/Team/Enterprise ┃ ┣ 📂 GitHub - repository management ┃ ┣ 📂 Slack - team communication ┃ ┣ 📂 Linear - project management ┃ ┗ 📂 Custom MCP Servers - build your own integrations ┃ ┣ 📂 Enterprise & Business ┃ ┣ 📂 Claude for Enterprise - SSO, audit logs, admin controls ┃ ┣ 📂 Claude Team - shared billing, 5+ seats, Standard ($25) & Premium ($125) ┃ ┣ 📂 Analytics API - usage metrics & insights ┃ ┣ 📂 Contextual Guardrails - enforce team standards & compliance ┃ ┣ 📂 Claude Certified Architect - partner certification program ┃ ┗ 📂 $100M Partner Network - ecosystem investment ┃ ┣ 📂 Microsoft 365 Integration ┃ ┣ 📂 Claude for Excel - formulas, analysis, MCP connectors ┃ ┣ 📂 Claude for PowerPoint - slide generation (research preview) ┃ ┣ 📂 Shared Context - cross-app memory between Excel & PowerPoint ┃ ┣ 📂 Office Add-ins Skills - native skill integration ┃ ┗ 📂 Charts & Diagrams - inline visualization in chat ┃ ┣ 📂 Safety & Ethics ┃ ┣ 📂 Constitutional AI - principle-based self-regulation ┃ ┣ 📂 ASL Levels - safety classification system ┃ ┣ 📂 Red Teaming - continuous vulnerability testing ┃ ┣ 📂 Project Glasswing - US gov cyber defense (Mythos 5 preview) ┃ ┣ 📂 Trusted Access Program - controlled Mythos 5 expansion ┃ ┗ 📂 Responsible Scaling - cautious capability deployment ┃ ┗ 📂 Key Benchmarks (Opus 4.8) ┣ 📂 SWE-bench Verified - 88.6% ┣ 📂 SWE-bench Pro - 69.2% ┣ 📂 Terminal-Bench 2.1 - 74.6% ┣ 📂 GPQA Diamond - 93.6% ┣ 📂 Humanity's Last Exam - 49.8% no tools, 57.9% with tools ┣ 📂 Legal Agent Benchmark - first to break 10% all-pass ┣ 📂 MCP-Atlas - 82.2% ┣ 📂 BrowseComp (single-agent) - 84.3% ┣ 📂 Online-Mind2Web - 84% (computer use) ┗ 📂 GDPval-AA (Elo) - 1890

THIS AI BUILT A FULL BLOCK SURVIVAL GAME IN SWIFT FROM ZERO 45000 lines of code 82 files zero dependencies a hand written metal renderer with ssao volumetric god rays and soft shadows every sound and track synthesized live from oscillators no audio files at all 879 blocks 1188 items 63 biomes 100 entity types with a star pathfinding three dimensions redstone enchanting villages raids and all three bosses running at 200 plus fps on an m series macbook fully open source on github and you can build it yourself bookmark this ↓

POV: waiting for the local LLM to finish generating

TWO BUTTONS AND SPEECH IS ALL IT TOOK TO BUILD THIS most people are still copy pasting from a chat window while builders like this ship full apps in days here’s the exact setup (skills + subagents + AGENTS.md) that makes claude operate like this for any project ↓

A 6 YEAR OLD ANDROID JUST OUTRAN WHAT TOOK A SERVER IN 2023 gemma 4 e2b running via llama.cpp and termux on a note 20 ultra, 12 tokens per second on cpu only with multi token prediction enabled no gpu, no laptop, no cloud subscription MTP draft assistant gives a free 20-30% speed boost on top, works on any phone with 8GB RAM in my local llm playbook i wrote that mobile inference was coming and this is exactly what that looks like the floor just dropped out from under every excuse not to run local ai bookmark this ↓

OLD AUTOMATIONS HAVE ONE THING. A TRIGGER. Do X every Y minutes. Familiar. Useful. Limited. A loop has two things. A trigger that starts it and a goal that stops it. The agent runs, checks its own output, decides whether it passed, and if not, writes the next prompt itself and runs again. You stop being the person who decides whether to rerun. The loop decides. In this article you have 3 loops that replace 3 old automations. Completely seamless and hands off. The files are available to build in your own environment today. Bookmark it and give it a read today!

@neil_xbt nice share bro!

MUHAMMET YILMAZ SET UP ONE LOOP AND IT POSTED 388 TIMES WITHOUT HIM same content but different captions and different music every time, regenerated automatically across instagram, tiktok and youtube while he just watched most people are still doing all of this by hand and wondering why they can’t keep up save the full breakdown before you waste another week on manual posting ↓

HE BUILT A SAAS THAT RUNS ITSELF AND NEVER ASKED FOR PERMISSION one cron job runs his entire saas while he sleeps, posts to instagram and tiktok 24/7 and never stops this is the loop everyone keeps talking about and you still don’t have one save the full breakdown before you waste another hour doing it manually ↓

Boris Cherny, creator of Claude Code: “I have loops that are running, that are prompting, and kinda figuring out how to do my job anymore.” So while you’re still writing every prompt by hand, the guy who built Claude Code has agents that run, prompt themselves and figure out the work without him. Watch him explain it, then save the full setup below

github repo: github.com/livekit-exampl…

ROBOTS THAT CLEAN YOUR DESK ON VOICE COMMAND built in 48 hours, say “put the screwdriver away” and it happens voice agent, trained policies, vlm, h200 inference in finland, all coordinated across separate laptops in real time this is what multi-agent looks like in the physical world when agents run 24/7 across hardware and vision, routing matters routine calls on efficient models, complex decisions on frontier 43% cheaper, 99% same output bookmark this and drop a like ↓

@polydao nice share!

JENSEN HUANG JUST EXPLAINED WHY YOU WON'T LOSE YOUR JOB TO AI - BUT YOU MIGHT LOSE IT TO SOMEONE WHO USES IT this is the most important 37 minutes for anyone building with AI right now this video answers: > why computing is having its biggest shift in 60 years - and what that means for your career > why NVIDIA's AI factories are the new power plants (they take in electricity and output intelligence) > why every radiologist, engineer, and salesperson who ignored AI got replaced - not by AI, but by a colleague who didn't the five-layer investment model Jensen lays out is worth understanding whether you're running Claude on a DGX Spark or just using NVIDIA's free API to get started watch it 👇

@beamnxw thanks for sharing!

10 MILLION VIEWS IN 30 DAYS 13 POSTS A DAY ACROSS 5 PLATFORMS AT THE SAME TIME 2 CLICKS A DAY FROM HIM PERSONALLY here's the full stack: openrouter - generates all the copy and scriptskai ai - creates images and videos for the postsrailway - hosts the whole system for $5 a monthcam - his own app that glues everything together he process looks like this hit generate → review it → hit approve the system does everything else on its own youtube instagram tiktok all at the same time every day in april it did 7 million views in may it was already at 10 million not because he got better at writing but because the system ran longer this isnt about content its about infrastructure most people have ideas but no system he has a system - and the ideas arent as important anymore you still posting manually?

@polydao bookmarked!

@gippp69 very useful!

A 19-YEAR-OLD CHINESE GIRL TESTED 2 CLAUDE MODELS ON AN 8-BIT CAT GAME. OPUS GOT STUCK, FABLE KEPT MOVING the demo looks tiny: one house, one map, one cat, 3 UI windows and a little world that has to keep running while the screen changes that sounds simple until the interface opens. this is where weak agents break: movement stops, state gets lost and the game turns into a frozen menu fable handled the hard part. the cat kept walking, the UI kept swapping and the 8-bit world stayed playable instead of becoming a static mockup this matters because mini-games are not just cute visuals. even a small branded demo needs movement, menus, collisions, score, state and 5-10 systems working together agencies charge $4,000 to $9,000 for polished interactive campaigns because clients are buying attention, clicks and something people can actually touch the guide below shows how this becomes a $20 browser mini-game workflow: one html file, 6 prompt layers, one-minute deploy and a service solo builders can actually sell

@h100envy bookmarked!

@zostaff bookmarked!

THIS IS WHAT A REAL AI AGENT LOOKS LIKE IN THE WILD not a chatbot sitting in a browser waiting for your next prompt to do anything a robot with a goal and real tools and a loop that keeps running until the job is done most people still think ai agents are just better chatbots but this thing has been actively trying to sell something for 5 minutes straight without a single human telling it what to do next that’s the difference between a system that answers and a system that actually works bookmark the article below if you want to understand how this loop works ↓