#Module

I hosted a $15M+ LIVE masterclass in front of 3400 people. How I generated $3.24M in 8 months. 90 minutes long with 52 steps. usually millionaires only, $3K+ to access BUT I'm releasing the full recording FREE for the next 24 hours. What I REVEALED : 1. how I went from $0 → $3.24M in 8 months with digital products 2. the exact funnel that generates $40K+ every 7 days on autopilot ( 1 hr daily ) 3. 21 case studies of X accounts doing $30K+ per month each 4/ the AI system that writes 300 posts in 15 minutes and gets 1M+ views/month 52 modules covers: - account setup to first sale in under 48 hours - how to generate $10K/month with one $500 digital product - the automation stack that runs the entire business for $38/month - how to scale to $30K/month with 5+ accounts DELETING IN 24 HOURS comment "MASTERCLASS" and I'll DM it to you (including full 2 hour training video) ** must be following + retweet to receive

What makes $COHR unusual is vertical integration Coherent grows its own crystals (indium phosphide for lasers, silicone carbide for power chips) fabricates laser chips, and assembles finished optical modules No other company controls that much of the photonics supply chain

Back to 1991, with #zerob, #module, EP. 🫡🙌🏻

THIS IS AN ABSOLUTE F*CKING GOLD Anthropic just revealed one of the sharpest setups for Claude Code The idea: run autonomous agent teams across Opus 5.5, Sonnet 5.5, and Haiku 5.5, while keeping Fable 5.1 on call as adversary Zero coordinator bottlenecks and way fewer tokens: teammates talk directly over peer-to-peer mailboxes and claim tasks on their own You just launch Claude Code like this: CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1 claude --model opus here's how it splits: → Opus 5.5 acts as team lead: breaks epics into a shared task list, arbitrates conflicts, and signs off on pull requests → Sonnet 5.5 powers builder teammates: hammers out frontend and backend modules in parallel, messaging peer-to-peer without coordinator drag → Haiku 5.5 swarms lightweight scouts: maps AST call sites, audits dependencies, and verifies API specs at 340 tok/s → Fable 5.1 monitors the peer bus on call: audits cross-session messages and catches subtle edge cases before code merges → you stop burning Opus context on routine implementation loops and keep the lead session lean Fable 5.1 only steps in at three moments: → before a contract locks: does the frontend payload match the backend schema? → when a test breaks twice: are we fixing the root cause or just patching symptoms? → before calling it done: what security hole or invariant did everyone overlook? Opus leads · Sonnet builds · Haiku scouts · Fable challenges JEV engineering is the same move one layer down: the forks that need no thinker (which file, which tool, retry or stop) go to JEV in milliseconds, and the big models only see the ones that split the full tree > Opus 5.5 coordinates the team and manages the shared task list at ~/.claude/tasks/ > Sonnet 5.5 runs builder teammates with direct peer-to-peer mailboxes at ~/.claude/teams/ > Haiku 5.5 runs fast scout teammates at 340 tok/s with zero coordinator lag > Fable 5.1 stays on call as adversary to challenge contracts and audit diffs > task dependencies unblock automatically as teammates mark work complete > JEV routes micro-forks in milliseconds paste the tree and this prompt into Claude Code ↓ "Rebuild my Claude Code setup around this tree: 1. Enable autonomous agent teams by setting CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1 in settings.json 2. Run the main lead session on Opus 5.5 to manage architecture and the shared task list 3. Spawn Sonnet 5.5 teammates for feature builds and Haiku 5.5 for 340 tok/s repo sweeps 4. Keep Fable 5.1 on call as adversary to audit peer-to-peer messages and test failures 5. Add one rule to CLAUDE.md: teammates must consult Fable before locking API contracts, after two test failures, and before final PR sign-off 6. Route fast deterministic forks through JEV, show all changes as diffs first. No edits until I say go" ↳ save it, you'll use this every single day

What does it take to engineer up to 600 kW of DC fast charging into a single standalone foundation? Take a look inside ChargePoint Express Solo from ChargePoint and @eatoncorp. Here is the engineering breakdown of the physical hardware: 🔹 Compact Power Footprint: Power conversion and dispensing integrated into a single enclosure. Delivering up to 72 kW/sq. ft.—up to 40% more kW per square foot than competing hardware. 🔹 Built-in Cable Theft Protection: Cut-resistant charging cables paired with an active security alert system to protect critical infrastructure from copper theft and vandalism. 🔹 What's Inside: Solid-state air-cooled Silicon Carbide (SiC) power modules. 98% efficiency with zero liquid coolant loops, zero mechanical pumps, and zero chiller servicing. 🔹 Overhead Ergonomics: Integrated 17-foot swing arm keeps heavy charging cables suspended completely off the pavement—preventing ground abrasion, moisture damage, and vehicle drive-overs. 🔹 Industrial Grid Specs: 200 kW, 400 kW, and 600 kW configurations, 480VAC / 600VAC (Canada grid ready), 1,000A peak output per port, native Omni Port (CCS1 & NACS), and a high-visibility 15-inch touchscreen. Heavy-duty industrial charging engineered for real-world reliability. Explore the hardware architecture: #EVCharging #HardwareEngineering #CleanTech #FleetOperations #ElectricalEngineering #ChargePoint

AI may well be able to write massive software projects “from scratch”, but that almost certainly isn’t the fastest / highest performance / highest security / most token efficient way to do things. Good building blocks matter. In addition to RL’ing the agents on final task loss, we should try to get them to regularize the building blocks as well. What would the standard library look like that makes the agents most effective? It is likely at the limit that it turns out to be some alien organization of code, but given the existing human-bias in training, I bet that in the near term it would be lovely code that old programmers would appreciate. I suspect the same could be said for mathematics, but that is out of my lane.

Computer science is lacking something that other mature sciences have: fundamental building blocks. Biology has base pairs, chemistry has elements, quantum physics has particles, etc. Computer programs have code but code is not a building block. Computer science can learn something from neuroscience. I propose using simple sensors, effectors and connectors to build event-based software. These will lead to the creation of snap-together modules.

BlueChip is a new line of laptops coming in 2027 from Anduril and Qualcomm, starting with a rugged military-focused model.

This article is full of blatant misinformation. "The components Luckey specified that are planned to be American-made from the start are the display glass, the frame around the display, and parts of the ribbon component." No. That is not what I said. This was a response to a specific question about the display modules in the current prototype vs the final product. As I explicitly said, BlueChip has American chips, batteries, metallics, plastics, glass, etc, and we have a clear technical roadmap to 100% American components. "It sounds like BlueChip’s first laptop will be well below the 65-percent requirement to count as American-made" This is nuts. There is a reason no other reporter has came to this conclusion. One hint might be the extended discussion we had explicitly about the government requirements for American-made hardware and why meeting that bar is so important. "Palmer Luckey is of course a controversial figure, with his history of fueling right wing troll farms" This never happened. You are pushing a lie The Verge has pushed for over a decade now. Yes, you have written a bunch of stories claiming this happened, but it just ain't so. I gave $9,000 to a group that ran a single anti-Clinton billboard. The "right wing troll farms" narrative was a fabricated story pushed shortly before the 2016 election because Dems desperately wanted a right-wing equivalent to the actually-real Correct The Record, an online astroturfing organization that paid people to troll and "correct" Trump supporters online. But there was no such thing. It was all disinformation. Which is why most of the stories about it were later deleted. Yet here you are, lying again.

Your P365. Your way. The P365-XMACRO isn't just built to carry. It's built to make your own. Grip modules. Grip panels. Optics. Lights. Magazines. Holsters. Build a P365-XMACRO around the way you carry, the way you shoot, and the way you want it to look. Make it yours.

🌟 Claude Code Mods Explained 🌟 ↳ a programmable extension layer for your coding session (like stateful hooks). Instead of only prompting the agent, you can run JavaScript modules directly inside the session to customize its behavior. How it works: ↳ Mods run inside your Claude Code session ↳ React automatically to agent events ↳ Observe, rewrite, or intercept tool execution ↳ Maintain state across turns ↳ Render custom, interactive UI Why it matters: ↳ Stateful workflows across multiple turns ↳ Deterministic behavior without relying on prompts ↳ Custom guardrails, automation, and developer tooling Claude Code is becoming more than a coding assistant. It's becoming a programmable agent runtime.

I was sunbathing at a hotel's pool in LA when I met a guy who did $300M+ selling digital products and services we did a little mastermind and he asked me how I did $5.2M+ selling ebooks organically. So I begin explaining and show him my 60 modules blueprints and videos explaining how it all works He looks at me, straight in the eye, and asks me why I'm not selling that for $10K at least??? I replied: "Oh I don't feel like it. I'm busy with other stuff" He said : BRO AS SOON AS YOU GO HOME SELL IT TO YOUR FOLLOWERS FOR $10K PER PERSON THAT IS THE MOST VALUABLE PRODUCT YOU HAVE YOU COULD MAKE $100K TONIGHT JUST FROM DOING THAT so now im giving it out to you guys. but for free. Comment "BLUEPRINT" and I'll send it to you via DM **must be following + retweet

OH MY F*CKING GOD Minecraft was rewritten from scratch in rust, and every mod you own just died with it this was never about rust being faster. it is about java mods having no door to knock on WHY JAVA MODDING WAS ALWAYS GOING TO HIT A WALL → a java mod does not call an interface. it performs surgery. the loader rewrites the game's own bytecode while it loads, and mixins inject into methods nobody designed to be touched → that is why two mods editing the same method fight each other, and why a single update breaks a hundred of them at once → the ceiling was never the language. it was that the game had no front door, so every mod cut its own hole in the wall WHAT THE REWRITE ACTUALLY CHANGED → horizon is not a loader bolted onto the old game. it is its own program in rust that reads the same worlds and generates the same terrain → mods are rust compiled to webassembly, loaded as sandboxed modules against a real api, instead of being injected into the engine's internals → it ships a mod api, a server api, a shader api and an agent control api, which means the game now has a surface built for something to drive it HOW YOU PROVE A REWRITE IS NOT A LIE → rewriting is the easy half. proving you matched the original is the half nobody wants to do → 281 differential harnesses feed identical input to both games and compare the output subsystem by subsystem, and every subsystem it covers comes back matching → and the giveaway detail: the rust side was made to copy java's floating point behaviour on every platform, because otherwise the terrain generates differently and the whole thing is a different game wearing the same name for fifteen years modding meant editing a running program now there is a door, and somebody built one

BMW's new X5 uses two aluminium rear rails instead of a one-piece Gigacasting 🚗 The body was presented at EuroCarBody 2026, BMW's X5 comes in five different versions with five different powertrains. For those five versions, BMW uses four different rear-floor modules. The two cast rails are shared across every version and form an H-shaped frame at the back of the underbody. Martin Lagler reported that BMW chose this deliberately over a full Rear Gigacasting. Nemak casts the rear rails, which it calls the X5 longitudinal member, at its new, highly automated plant in Georgia. The parts are cast on a 6,100-ton die casting machine, a Bühler Carat 610 with a two-cavity die, and they save 11 kg. The parts are cast by the supplier and shipped to BMW's Spartanburg plant. A full rear-floor casting would have added logistics on that route. BMW sees the two rails as the best balance of integration, weight, manufacturing and logistics. 📰 Full article: 📷: Nemak

Until today, high-power DC fast charging forced site hosts to make a painful compromise: Accept a fixed power ceiling on a standalone charger, or take on the immense CapEx, civil footprint, and trenching of a distributed system with separate power cabinets. Today, we're eliminating that compromise. Meet ChargePoint Express Solo from ChargePoint and @eatoncorp. Express Solo packages up to 600 kW of DC fast charging power into a single standalone foundation—combining power conversion and vehicle dispensing in one box. ⚡ Up to 600 kW Standalone Power: Up to 40% higher power density (up to 72 kW/sq. ft.) than competing hardware. ⚡ Modular Architecture: Field-upgrade from 200 kW to 400 kW or 600 kW using slide-in air-cooled Silicon Carbide (SiC) power modules. ⚡ 4 Ports with Power Link: Pair with a Power Link 2000 dispenser to serve 4 bays simultaneously, cutting make-ready costs by up to 30% and footprint by 36%. ⚡ Zero Stranded Power: Dynamic power sharing routes capacity in 50–62.5 kW steps so every kilowatt paid for earns revenue. ⚡ Built for Uptime: No liquid chillers or mechanical coolant pumps to service. Backed by cut-resistant cables, built-in alarms, and a 17-foot overhead swing arm. Backed by ChargePoint software and Eaton electrical power management, Express Solo delivers single-vendor accountability across design, civil works, deployment, and ongoing operations. Watch the full architecture breakdown below. Explore specifications: #EVCharging #Infrastructure #CleanTech #CommercialRealEstate #FleetElectrification #Engineering #ChargePoint

When a partner sends you a lead, the deal often goes to whoever gets a real proposal back first. At AI Spark we run AI training. A partner who works with dental clinics asked us for AI training built for clinic staff: front desk, dental assistants, managers. A proposal like that used to mean rounds of research, outlines and rewrites, all by hand. Slow enough that some partners went with someone else first. Now it runs as one Loop in Teamily AI 2.0 @Teamily_AI: 1. A research agent maps how dental clinics actually run 2. A curriculum agent designs role-by-role modules from that research 3. A page builder agent turns it into a proposal page 4. My co-founder Tom reviews scope and pricing 5. I approve and send the link First run: about 20 minutes from request to a shareable proposal page. It went out the same night. Then Tom asked for a chain-clinic version with pricing. I re-ran the same Loop on his notes. Research, curriculum and page all updated in about 26 minutes, and Tom signed off on the new scope and pricing. Nothing rebuilt. Our partner never signed up for anything. She opened a link on her phone. If your business runs on proposals and quotes, try Teamily AI: #ad #teamily #aitools #aiworkflow

Adding some technical modules to my #bedrock client 🤔Any others I should add?

Traditional automotive paint shops can cost hundreds of millions of dollars and take up considerable factory space. That's why Tesla's Cybercab uses injection molded exterior panels with a colored polyurethane coating applies through the RIM process. The coating is formed in the mold, completely eliminating the need for that expensive and environmentally unfriendly paint shop. The benefits are huge: — No conventional paint shop production bottlenecks — Reduced risk of "orange peel" defects — Fewer manufacturing steps — Panels can be repaired easily when scratched — The ability to assemble completed modules without having to reassemble an entire body solely to go through the paint shop together. This is what enables the unboxed process. — Front and rear structures don't need conventional e-coating, thanks to the material selection and corrosion characteristics. The side structures still receive e-coating This is more than a cosmetic change. It's what makes Tesla's revolutionary new modular unboxed process possible.

I got Nitro Modules v1 working on Node.js! 🥳 Rapidly develop React Native native modules, for mobile or desktop, with just a happy little Node.js project.

Create a Geometric Mandala PDF Using Python! Who says Python is only for data science, automation, and web development? You can also use it to create beautiful geometric art! In this example, Python's PyMuPDF (fitz) and math modules work together to generate a colorful Crystal Bloom mandala and save it as a PDF. What you'll learn: ✅ Draw geometric patterns using Python ✅ Use math.sin() and math.cos() to calculate circular positions ✅ Create colorful shapes with draw_oval() and draw_circle() ✅ Generate and save a PDF file programmatically Everything You Need to Ace Maths in One Big Fat Notebook: The Complete School Study Guide: 1 (Big Fat Notebooks) (Free PDF) Download Free PDF Book:

DAN-F10N is a u‑blox F10 L1/L5 dual‑band GNSS smart antenna module. It provides reliable meter‑level positioning with multipath mitigation for urban use. 20×20 mm compact size, no RF design needed for quick integration. #Module #HardwareTeardown #IPBrain #Chip

Marvell experts are taking the stage at WISH Conference 2026, the flagship event from the @GlobalSemi Women’s Leadership Initiative. Approximately 1,000 technology leaders, entrepreneurs and STEM students will gather at the Santa Clara Convention Center to celebrate women’s achievements in technology, build networks and advance gender parity across the industry. Marvell engineers will lead a breakout session, join a main stage panel and present two posters on advanced packaging and optical modules. See the full lineup and learn more on our website: