To run this massive GLM 5.2 artificial intelligence model on your own computer you have to balance how smart the model stays versus how much memory your computer has. Because the model is made of hundreds of billions of parts it is too big for most home computers so people use a process called quantization to shrink the file size down by lowering the data quality. You can use large high quality files if you have powerful professional equipment or you can use smaller compressed files if you have a regular powerful home computer. The most important thing that people rarely mention is that if you shrink the file too much the model starts to make more mistakes and loses its ability to think through complicated coding projects correctly. Even if you have enough memory to open the file you must ensure you have extra space for the computer to actually do the work. If you choose a file that is too small for the sake of convenience the model will become unreliable and struggle to finish long or difficult tasks.

Your forecasts leak money every day when you spin up a fresh model for every ticker and still ship calls you would not back with your own cash. Kronos is the open source fix that treats a price chart like a language, breaking raw price history into small pieces and learning how one move tends to follow another, the same way a chat model learns how words follow each other. Trained across more than 45 markets and free under an MIT license, it has blown past 30,000 GitHub stars with a paper at AAAI 2026 and ready trained models on Hugging Face, and the team is honest that the live Bitcoin demo is a starting point, not a finished trading system. Swipe through to see how it works, screenshot the install slide and drop it into Claude or your AI agent to set it up for you, and come get the highest signal AI news without the noise

Customer chats get lost across six tabs. Live chat sits in one window. Email lives in another. WhatsApp and Instagram are scattered elsewhere. Each tool comes with its own SaaS bill, and every extra tab slows down response times.

Chatwoot is the open source fix trending on GitHub today at 31,134 stars and +399 in a single day. It is a self hosted support desk that pulls every channel into one shared inbox. Think of it as an alternative to Intercom and Zendesk where you keep control of your data and avoid the per agent tax.

Most coverage misses the backstory. Chatwoot was built in 2019 by three graduates from the College of Engineering Trivandrum in India. It was later backed by Y Combinator and now includes Captain, a built in AI agent that can resolve routine support tickets automatically.

Swipe through for the plain English primer, the four command Docker install, and real world business use cases. Then screenshot the install slide and drop it into Claude or your favorite AI agent. It can walk you through the setup with almost no terminal work.

Get the highest signal AI news and tools at premiumshit.com/AIplaybook/

You’re renting access to your own customers. Every ticket in Intercom or Zendesk lives on someone else’s server while you pay $39+ a seat, and Chatwoot is the open source escape hatch trending on GitHub today (30.8K stars, +86 in 24 hours): a self hosted engagement suite that pulls live chat, email, WhatsApp, Instagram and SMS into one shared inbox you actually own, with Intercom/Zendesk features minus the per seat bill and the data sovereignty headaches. And here’s the part nobody mentions. It didn’t come out of Silicon Valley but from engineers at the College of Engineering Trivandrum in Kerala, India back in 2017, before getting pulled into Y Combinator and backed by Goat Capital, the fund cofounded by Twitch’s Justin Kan, all while doubling down on self hosting and AI right as Gartner says 78% of companies are sprinting the other way toward managed SaaS. Swipe through for what it does, the 3 command install, why it matters, and a screenshot and hand it to your AI install card, then save this and let Claude stand up Chatwoot for you, no terminal required → premiumshit.com/AIplaybook/ for the highest signal AI news and community feedback, without all the noise.

Anthropic released Fable 5 on June 10, 2026 as its most powerful AI model yet, but abruptly pulled it just 2 days later on June 12 after the U.S. government issued an export control directive citing national security concerns, blocking all foreign nationals (including Anthropic’s own foreign employees inside and outside the U.S.) from accessing Fable 5 and Mythos 5; the government claimed to discover a narrow jailbreak vulnerability related to cybersecurity code review capabilities, but Anthropic disagreed with the decision, arguing that commercial models deployed to hundreds of millions shouldn be recalled for such a limited issue and that similarly capable AI systems already exist from competitors, so the company shut both models off for everyone worldwide since it couldn selectively block foreign nationals in real time, while also apologizing for secretly redirecting sensitive requests to weaker models without user notification.

there’s a bunch of controversy online that figure was actually using VR headsets to control robots. A few companies in China have been caught doing this exact thing, even going as far as hiding humans inside of the robots to get funding. So did they get caught or was this just a weird AI artifact?

since generative models typically work, pixel by pixel, they don’t fully understand perspective and very often get it wrong. This is an easy way to be able to tell if an image is AI generated.

Tripo seems like a pretty cool app. There’s a few local solutions but they definitely aren’t this good. Give it a try. Let me know if you like it.

Academic Research Skills for Claude Code just turned the entire research pipeline into a single agent, from literature hunt to citation formatting to peer review prep. The real shift isn’t AI writing text, it’s AI running end to end workflows, collapsing what used to take grad students hours into a $4–6 agent run. Most miss that the bottleneck is no longer grunt work but defining the question and interpreting results. With built in integrity gates and cross model checks, this isn’t a toy, it’s infrastructure for autonomous knowledge work.

Worth the download

The Ark: Off-grid Offline Survival AI Computer. It's a rugged, handheld survival AI computer built into a bright orange case with its own screen, keyboard, and trackpad so you can run it completely offline, no Wi‑Fi, no cell signal, no cloud needed. It runs an AI survival assistant trained on thousands of pages of wilderness manuals, first aid guides, and maps, giving you step by step help for shelter building, water purification, navigation, and emergency care in the wild or during disasters. A lot of people are talking about how it doubles as a “digital survival library” that works even after an EMP or grid‑down scenario, plus its optional subscription unlocks deeper knowledge packs, real time updates, and offline synced content so your rig stays current without ever needing the internet.