DimiX

A Chinese lab just gave away its newest flagship coding model for free, and someone already has it running on a single machine at home. Z.ai (formerly Zhipu) shipped GLM-5.2 on June 13, the same week the US ordered Anthropic to cut off foreign access to Fable 5 and Mythos 5. 744 billion parameters, mixture-of-experts, 1 million token context, MIT license. No usage restrictions, no regional locks. What it actually is: a model built for long agentic coding sessions, the kind that read and revise code across a whole repo instead of one file at a time. Running it yourself is not a weekend project, and the hardware matters more than the prompt. Here's what it actually takes: Maxed Mac Studio, 512GB unified memory (~$9,500): the only single-machine setup that fits the lightest local quant, around 200-240GB Multi-GPU Linux rig (4x RTX 6000 Ada or similar, 200GB+ combined VRAM) through vLLM or SGLang Anything smaller, including a Mac mini, a Jetson box, or even NVIDIA's own 128GB DGX Spark, can't fit it No official Ollama tag yet either, you're pulling the Unsloth GGUF through llama.cpp. The numbers: 62.1 on SWE-bench Pro against Opus 4.8's 69.2, but GLM pulls ahead on Terminal-Bench 2.1 (82.7 vs 78.9) and AIME math (99.2 vs 95.7). Independent scoring from Artificial Analysis puts it past both Gemini models, plus MiniMax, DeepSeek V4, and Kimi K2.6. The honest caveat: that benchmark table is Zhipu's own, and the local 2-bit version people are running feels closer to where Opus sat back in January than to today's frontier. Still the strongest open coding model on the market right now, and one nobody can pull offline. Worth $9,500 in hardware, or waiting for round two? x.com/0xdimix/status…

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@Ryker_Crypto what are the search criteria?

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@catmanyau I don't have a favorite category. I’ve set the required skills, and it knows what I want to get out of it.

@0xdimix the struggle is always getting claude to think in steps before writing code. what's your go-to category from the 19 — backend, debugging, or something specific?

⚡️ Anthropic has just released the official prompt library for Claude Code across 19 categories! If you actively use Claude for development, you know the struggle: you draft a prompt, and it either misses the mark or burns through tokens like crazy due to endless follow-up clarifications. Now, Anthropic has fixed this problem systemically. They've packed the best prompt engineering practices into a single, free hub. What does this mean in practice? Token (and money) savings: Clean, well-structured templates minimize unnecessary context and "fluff" in your requests. Speed: Instead of reinventing the wheel, you grab a ready-made framework tailored to your specific task. Code quality: These prompts are optimized to drastically reduce AI hallucinations and deliver clean, production-ready code on the first try. All 19 categories (ranging from code refactoring to test generation) are already live. Bookmark it and optimize your workflow: 👇 code.claude.com/docs/en/prompt…

@BagCalls @justinsuntron Wait it

They should make a bull coin for @justinsuntron Justin would you support? The people demand it!

@yurshevv That's right. The main thing is to find the pain of the client and offer a solution

@0xdimix fixing a broken business process matters way more than writing perfect code

MOST PEOPLE SEE A COMPLICATED CODEBASE. HE SEES AN $8,000 CHECK. a 27-year-old in chicago picked up the project with a claude subscription and zero background in computer science. a local business owner needed a crm to track orders. a dev agency quoted $25,000 to start the project. the owner passed and kept looking. claude mapped the database and the frontend inside minutes. he read through the plan and kept prompting, feature by feature. each bug got the same fix: paste the error, ask for a patch. he shipped the whole product in four evenings, working nights after his regular job. the code won't win an engineering award. the client stopped losing orders in a spreadsheet. he cleared $8,000. the client paid for the result, not the code.

@nordin_eth Shippable UI is the easy part though. How many of those apps are actually surviving first contact with real users, or is the gap just moving from idea to product to abandoned product?

Claude Code is becoming a full app-building machine. Rough app idea → Claude Code → App Store-ready UI in minutes. Clean design system with real native code. Output that actually looks shippable. Gap between idea and product is collapsing fast.

@BinanceWallet Curious what the implied probability on Brazil looks like right now

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@Durektor97 An awesome technology that gives ordinary people the ability to create something interesting without coding

@0xdimix A great result. This is the future

@SuePowell971121 you can choose a budget option

@0xdimix That's getting pricey, when does it become unsustainable?

Last year, paying for AI felt normal. One founder was spending almost $800 every month across ChatGPT, Claude, Midjourney, Perplexity, Runway, and a growing list of AI tools. Every new model meant another subscription. Every limit meant another upgrade. Instead of accepting it, he did the math. Four Mac minis cost less than what he'd spend on subscriptions over time. He set up local models, built a simple interface, and moved his entire workflow onto hardware he owned. Overnight, the monthly AI bill disappeared. Then he noticed something interesting: the machines were idle most of the day. So he started giving a few private clients remote access. A developer who wanted privacy. A marketing agency running local inference. A lawyer who couldn't send confidential documents to cloud models. A side experiment turned into a small business. The same hardware that replaced his subscription bill eventually started bringing in around $4,000 a month from private access. Most people think AI is another monthly expense. The smarter play is asking a different question: What happens when you own the infrastructure instead of renting it?

@Rightsideonly The 5.5% sounds clean until you price in the 3-leg execution slip and funding rate variance on the perp leg

Remember this article? Let's put it in action! The ETH cash-and-carry we broke down where Boros out-yields the desks is right here What it is: Boros locks ETH at ~5.5% right now while CME's July ETH pays ~3.7% for the identical trade. Deribit's is basically nothing (its future flipped to backwardation) How to do it: 1. Hold spot ETH 2. Short ETH on hyperliquid 3. Short YU on the ETH-Hyperliquid market. What you get: No effect on price but you bank ~5.5% fixed to maturity. It's also the deepest ETH book on Boros, so size can size. It's a 3-leg trade (spot + perp + YU), so mind execution and fees, and the ~5.5% is the result at end of maturity.

@sairahul1 The contradiction is right there in tip 4: if Kimi 2.6 matches Sonnet quality on most tasks, why is Opus even the 10% answer? The routing chart needs a third tier before anyone should bookmark this.

10 tips to cut your Claude Code token usage by 50% 1. Auto-context loading 50 files for a 30-line fix: $1.20/turn for tokens you'll never read. 80% input waste, every session 2. Running Opus on lint, format, and rename tasks: $0.60 for what Haiku nails at $0.02. 30x overpay on the cleanup tier 3. Tool call loops that re-send the full repo on every retry: 5x context cost per agentic flow. fixing these alone cuts 30-50% of bills 4. Sonnet as the default model: Kimi 2.6 matches its quality on most coding tasks at 1/6 the cost. defaulting to Sonnet in 2026 is leaving 60-70% on the table 5. Streaming responses on stable-prefix workflows: kills your prompt cache. you pay 10x for tokens that should have cost cents 6. "Just in case" file includes: 80,000-token prompts that should be 3,000. context bloat is the silent budget killer 7. Per-session knowledge rebuilding: 10 min writing a SKILL.md once vs paying agents to re-figure out your environment every run. $4 vs $0.30 per execution 8. Single-model setups: premium tier on every task is the most expensive mistake in AI coding right now 9. Asking 10 small questions one at a time: 10 separate input prefix charges vs one batched call. 70-90% savings on routine workflows 10. Buying Claude Pro + ChatGPT Plus + Cursor Pro: you seriously use one. the other two are habit, not utility what actually compounds instead: - context discipline (grep before fetching, always) - prompt caching on every stable prefix - multi-model routing (Kimi 2.6 default, Opus for the 10%) - graduated skills via SKILL.md files - profiling tool calls before optimizing prompts - the routing mindset (right model for right task) in 12 months, the gap between developers shipping on $200/month and $4,000/month budgets won't be skill it'll be how well they route bookmark this.

@HarryJStapleton this is a good option to use ai anonymously

@0xdimix Melania Trump Says She Distrusts Certain People Working In The Administration. She also said she thinks she's one of the most bullie

@polydao Does it run continuously, or do you need to rent a server for that?

BUILD KARPATHY'S SECOND BRAIN WITH CLAUDE FABLE 5 + OBSIDIAN Andrej Karpathy (openai co-founder) shared an architecture that turns Claude into a persistent second brain instead of a basic chat window how it works: > you point Claude Code at an Obsidian vault folder > you drop articles, PDFs, or video transcripts into raw folders > Claude reads the files, updates topic summaries, and cross-references everything > the knowledge base compounds like interest instead of resetting on every new chat the setup is simple: > install obsidian.md and create a local vault directory > open the directory in Claude Code and paste Karpathy's wiki prompt: > gist.github.com/karpathy/442a6… > let the agent generate raw, wiki, and CLAUDE.md schema directories > drop any text file into raw and tell the model to ingest it > ask questions across the whole vault and query compiled summaries this eliminates rag database overhead and keeps your local vault organized how do you manage your local knowledge base?

@Zyron5m Yes, but you still need to be able to sell the product

@0xdimix that's the whole game in one line: what happens when you own the infrastructure instead of renting it. Four Mac minis quietly turning into a $4,000/month access business proves it

@yurshevv hope it's useful

@0xdimix bookmarked

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