mod_ranger.sol

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mod_ranger.sol

mod_ranger.sol

@mod_ranger

Things are about to get really uncomfortable

Katılım Eylül 2016
1.4K Takip Edilen654 Takipçiler
Aníbal Rojas
Aníbal Rojas@anibal·
CARAJO. El mundo cambió otra vez. "SubQ tiene una ventana de contexto de 12 MILLONES de tokens e inteligencia SOTA. Supera a Opus 4.7 en contexto largo A MENOS DEL 5 % DEL COSTO." BOOM! Esta gente acaba de lanzar "el primer LLM completamente subcuadrático del mundo". Qué significa esto? Que absolutamente todas las capas del modelo están optimizadas por debajo del O(n²) que el mecanismos de atención "tradicional" de un Transformer necesita para poder evaluar la relación entre las palabras en la ventana de contexto, y producir la siguiente en la respuesta. Ya muchos modelos tienen optimizaciones que los hacen parcialmente subcuadráticos, pero ninguno había logrado una implementación completa sin degradar el rendimiento del mecanismos de atención. "Tus agentes ahora pueden completar semanas de trabajo de una sola vez sin degradarse, razonando a través de codebases completos, mergeando cientos de PRs a la vez y encontrando patrones en decenas de miles de documentos; todo de una sola pasada, sin perder precisión, velocidad ni contexto." Es decir estados hablando de una ventana de contexto al menos UN ORDEN DE MAGNITUD MÁS GRANDE. La clave está en que es un modelo construido sobre una arquitectura de atención dispersa completamente subcuadrática, y no sufre del costo asociado a la densidad relacional de los modelos SOTA actuales. Y el cómputo (GPU, electricidad) se utiliza donde realmente es útil, en las relaciones relevantes entre las palabras, reduciendo el procesamiento en un factor de 1000x. Y no solo lanzan el modelo, sino que además le pegan al mercado más importante, el del desarrollo de código, con un Coding Assistant construido/optimizado alrededor del mismo. No hay foso.
Alexander Whedon@alex_whedon

Introducing SubQ - a major breakthrough in LLM intelligence. It is the first model built on a fully sub-quadratic sparse-attention architecture (SSA), And the first frontier model with a 12 million token context window which is: - 52x faster than FlashAttention at 1MM tokens - Less than 5% the cost of Opus Transformer-based LLMs waste compute by processing every possible relationship between words (standard attention). Only a small fraction actually matter. @subquadratic finds and focuses only on the ones that do. That's nearly 1,000x less compute and a new way for LLMs to scale.

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Jordan Ross
Jordan Ross@jordan_ross_8F·
Most ad and SEO agencies will spend the next twelve months pointing AI at the wrong things. They'll automate the work that doesn't move margin. Ignore the work that does & wonder why the P&L looks identical to last year's. I made a strategic guide naming the top five things you should and can build— the ones that actually compound into profit, month after month. Take my PDF, upload it to any LLM and it will spit out the exact strategy you need to follow. Execute all five and you'll add seven figures to the bottom line. Comment "AI" and I'll send it over. (Must be following so the auto-DM lands.)
GREG ISENBERG@gregisenberg

how to set up hermes agent step by step. built-in memory, 40+ tools, works on your phone, and what to think of hermes vs openclaw: 1. hermes is a personal AI agent that runs in your terminal. think of it like open claw but with built-in memory, 40+ tools out of the box, and 90% cheaper token costs. you install it with one command. 2. the 3 problems with open claw that hermes solves: no memory (you keep repeating yourself), constant gateway restarts, and zero visibility into what you're spending on tokens. 3. hermes remembers everything. every completed task gets saved to memory. it searches through past logs to find solutions. over time it literally gets smarter at your specific workflows. 4. connect it to open router. you see exact costs per model per task. free models rotate weekly. one founder went from $130 every five days on open claw to $10 on hermes. same output. 5. it comes preloaded with skills. apple notes, imessage, find my, browser, web search, image generation, cron jobs. no hunting for plugins. 6. connect it to obsidian so it reads your entire vault. connect it to gstack for your dev environment. create custom skills for your specific workflows. 7. the biggest money saver: have it write code once for recurring tasks. then it runs without burning tokens every time. stop paying an LLM to do the same scrape or report daily. 8. run it on android via telegram. name your agents. talk to them like coworkers. in this episode imran shows you how to set this up. 9. you can run it bare metal, in docker, or serverless on modal. pick your risk level. i begged @imranye to come on @startupideaspod and walk through the full installation live. he made it impossibly clear. if you've heard of Hermes Agent and want the clearest explanation of how to get set up like a pro let me know what you want me to cover on the next ep this is the best personal agent setup video on the internet right now. watch

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Daniel Berk 🐝
Daniel Berk 🐝@danielcberk·
I'm thinking of paying someone to setup Openclaw for me. Who is the best person for this?
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mod_ranger.sol
mod_ranger.sol@mod_ranger·
@minchev @posthog I just visited your site for the first time today and the first thing I did was a screen shot and googled How do I clone website.
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Frederick Potticary
Frederick Potticary@freddiexpott·
💰 HIRING: LinkedIn Account Operator (Will Train) looking for 2 people who want to learn how to manage linkedin accounts at scale + book sales calls from DMs don't care too too much about experience (just that you've been in the b2b space) care about ambition and willingness to grind what we'll teach you: - managing 20-30+ linkedin accounts without getting banned - antidetect browsers, proxies, account health management - sending 1,000+ DMs per day and keeping conversations alive - qualifying leads and booking calls via DM - the complete linkedin outbound system we use for 30+ clients what you'll be doing: - running verified linkedin accounts for B2B clients - managing active conversations and moving leads to calendar - reporting metrics and maintaining account health - learning the full infrastructure (tech + sales) what you need: - can work async without constant direction - willing to learn technical stuff (browsers, proxies, automation) - can handle rejection and move fast - want to build skill that's worth $50k+ to agencies pay structure: Small base while learning (TBD depending on how many hours you can work) $2,000-4,000/month performance bonuses OTE: $3-5k/month this is ground floor of operation scaling from 30 to 100+ clients learn the system = run your own agency or become head of ops like the post + apply with the link in the description
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Dan
Dan@BizDan202·
@heygurisingh The smart routing between WebAssembly and Claude is a brilliant approach to cost-saving. I'd love to see the benchmarks on how it decides what constitutes a 'complex' task.
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Guri Singh
Guri Singh@heygurisingh·
Someone just built an AI system that runs 60+ AI agents simultaneously and they all learn from each other. It's called Claude-Flow and it's ranked #1 in agent-based frameworks on GitHub. One agent plans. Another codes. Another tests. Another reviews security. All running in parallel. All sharing memory. All getting smarter every run. The wildest part? It cuts Claude API costs by 75% using smart routing, simple tasks go to a free WebAssembly layer, complex ones to the right model. Your Claude subscription just became 2.5x more powerful. 14,100+ developers already starred it. 100% Opensource.
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mod_ranger.sol
mod_ranger.sol@mod_ranger·
@sharaff Would you be interested in a guided install ?3-4 hours - ill buu you and akimbila lunch . Lol ask akimbila if you should
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sharaff |🦞
sharaff |🦞@sharaff·
Fed my ai bot akambila, 30 video tutorials. It learned to use Blender. I should do this more often.
sharaff |🦞@sharaff

Holy crap! @Blender + MCP hahaha I know nothing about blender. But I can type, spin the Mac mini. And it’s done. Add lighting. Rim lights. LOL

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mod_ranger.sol
mod_ranger.sol@mod_ranger·
@gothburz I love the honesty behind the circle jerk yet you remain vigilant and confident. I love this. All you need is an Asian girl and you’ve got the whole package
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Peter Girnus 🦅
Peter Girnus 🦅@gothburz·
I am the lead engineer at ai.com. We had $78 million to work with. $70 million went to the domain. $8 million went to the Super Bowl ad.  I got the rest. "The rest" was $500 and a Cloudflare free tier. This ratio -- 156,000 to 1, marketing to engineering -- is not a bug. It is the business model of the entire artificial intelligence industry in 2026. You do not need a product. You need a name. Preferably two letters. Preferably letters that made investors lose bladder control in 2024. I built the website in a weekend. I didn't build it, actually. I described it to OpenClaw (previosely Moltbook), (previously, reviously Clawdbot) and the AI built it. We are, after all, an AI company. Using AI to build the website felt appropriate. The AI charged us nothing. We are charging users $20 a month. This is called "margin." We have a free tier and a paid tier. The free tier gives you access to a product that doesn't exist. The paid tier gives you access to the same product that doesn't exist, but with more input tokens. No one has asked "input tokens for what." This is the kind of question that delays launches. Nobody checked if it worked. Nobody checked if it scaled. Nobody checked if it did anything at all. We were too busy approving the logo. The logo is a planet with a ring around it. Someone said it looked like the old Saturn car logo. Saturn went bankrupt in 2010. But the logo was free and our design budget went to the domain, so here we are, orbiting a dead brand at $70 million per revolution. Our product is an "autonomous AI agent" that "organizes work, sends messages, and executes actions across apps." Which actions. Which apps. At what cost. In the AI industry, these are called "implementation details." Implementation details are beneath us. We are a vision company. The vision cost $70 million. The implementation cost $500. The gap between the two is where shareholder value lives. Our press release promises the agent will "trade stocks, automate workflows, and update your online dating profile." We are building artificial general intelligence so it can fix your Hinge bio. This is on the roadmap. The roadmap is longer than the codebase. Our marketing says you can create an AI agent in 60 seconds. This is technically true. You type a username. You click "generate." You receive a loading spinner. Sixty seconds. What you do not receive is an AI agent. But the experience of waiting for one is, I'm told, "the product." Our press release describes a "decentralized network of billions of agents." We used the word "decentralized" because our CEO comes from crypto. In crypto, "decentralized" means "we haven't decided how it works yet." We have not changed the definition. This is not unique to us. OpenAI has raised $40 billion. Their product loses money on every user. Anthropic has raised $15 billion. Their stated goal is to build something they believe might destroy humanity, and investors are fighting to give them more. Microsoft has committed $80 billion to AI infrastructure this year. Their Copilot product tells people to put glue on pizza. The entire industry is a $300 billion screensaver with a loading spinner. We fit right in. Our CEO is the Crypto.com guy. He previously spent $700 million to rename a basketball arena and hired Matt Damon to tell America "fortune favors the brave" six months before crypto lost 70% of its value. He paid for our domain in cryptocurrency. I am told this was "tax efficient." I have learned not to ask follow-up questions about things that are "tax efficient." He is now pivoting from crypto to AI. In the industry, we don't call this "pivoting." We call it "convergence." Convergence means the last bubble popped so you inflate the next one using the same PowerPoint deck with different nouns. The Super Bowl ad ran during the fourth quarter. Thirty seconds. It told 130 million Americans to visit our website. The ad was thirty seconds. That's $266,666 per second. Each second of airtime cost more than our entire engineering budget. Second fourteen showed the logo. Second fourteen cost more than the website. They did visit. All of them, apparently, at once. The website went down. "Prepared for scale, but not for THIS," our CEO tweeted, adding three fire emojis. The fire emojis were load-bearing. They were doing more work than our infrastructure. The entire site was hosted on Cloudflare's basic tier, which is designed for food blogs and wedding photographers, not for absorbing the combined curiosity of a nation told to visit a two-letter domain during the biggest television event on earth. But the crash was, in a way, perfect. It is the most honest thing the AI industry has produced. A $78 million promise that, when 130 million people showed up to collect, returned a loading spinner and the words "please refresh and try again." Every AI company should adopt this as their mission statement. The previous owner of ai.com was OpenAI. They used it to redirect to ChatGPT -- a product that exists, built by thousands of engineers who were paid more than $500, running on billions of dollars of compute. We bought the domain from them to redirect to a page that asks you to pick a username. OpenAI also ran a Super Bowl ad this year. They sold us the domain, then bought ad time in the same broadcast to promote the product they used to host on it. We are now competing with the company that built the thing we may or may not be reselling. During the same commercial break. On the same channel. For the same audience. The AI industry is a snake eating its own tail, except the tail cost $70 million and the snake can't stay online. That's the product. A username. For an AI agent that doesn't exist yet. On a website that couldn't survive its own launch. Sold by a crypto CEO during a crypto winter. Wearing the logo of a bankrupt car company. Twenty-three percent of Super Bowl ads this year were AI companies. That's 15 out of 66. In 2000, it was dot-coms. Pets.com ran a Super Bowl ad. They went bankrupt nine months later. Their sock puppet mascot outlived the company. I'm not saying history repeats. I'm saying it rhymes, and the rhyme scheme is expensive. But none of that matters. What matters is the domain. Two letters. Seventy million dollars. The most expensive thing we own is our name. The least expensive thing we own is everything the name is supposed to represent. In the AI industry, this is called "brand-first development." In every other industry, it's called something else. Anyway, we're hiring. Backend engineers preferred. Budget: whatever's left.
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Bud
Bud@budapp·
Introducing Orchids 1.0 - the first AI app builder to build and deploy any app, any stack (web, mobile, chrome extension, slack bot, AI agent, anything). Use your ChatGPT, Claude Code, Github Copilot, Gemini subscription - or any API key to use models at cost. Comment below to get 100k free credits. Everything you need to build with AI in a single tool.
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Mike Futia
Mike Futia@mikefutia·
I just vibe coded a Meta Ad spy tool in Claude Code 🤯 Meta just made it possible to sort any brand's ads by *highest impressions* for the first time. Which means you can now see *exactly which competitor ads* are getting the most views. But clicking through the Ad Library one brand at a time is still painful. So I built a tool that pulls it all into one place: One brand URL in → top ads scraped, organized, and fully analyzed by AI. Here's how it works: → Import any brand with their Ad Library URL → Apify scrapes their top-performing ads automatically → Click into any ad for full breakdown (headline, copy, CTA) → Gemini watches the video or analyzes the image → Returns asset type, visual format, messaging angle, hook tactic, offer type No manual research. No watching videos one by one. No messy spreadsheets. Here's what I built: - 50+ DTC brands already loaded (AG1, Caraway, Chomps, Dr. Squatch, Gruns, Jones Road, Magic Spoon, Ridge) - Weekly auto-scrape to refresh top ads - AI analysis on any ad in one click - Bookmark system to save winners - Filter by brand, category, media type, or AI tags Built 100% in Claude Code. I recorded a full step-by-step showing exactly how I built this, including ALL the prompts. Want access to all of the prompts for ree? > Like this post > Comment "META" And I'll send it over (must be following so I can DM)
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mod_ranger.sol
mod_ranger.sol@mod_ranger·
Register a human username and a bot/agent username Servers are slammed names showed available then when signed on it was taken. Servers are at capacity It’s cool because you can have a name for your agent bot and one name for human
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Noah Frydberg | Tiktok Shop For Brands
We replaced a $750K/year marketing team with 12 AI Agents. No actors. No products in hand. No ghost creators. No missed deadlines. Just viral TikTok Shop sales — 24/7. Here’s the crazy part: This system produces 100+ cinematic, product-ready ads per day from a single prompt. And it feels exactly like running Facebook Ads in 2008 — except the CPMs are even lower, and the entire loop is organic. Here’s how the AI Creator Agent System works 👇 Each Agent runs its own TikTok Shop profile and handles an entire growth function: • Trend + angle research using Kalodata • Competitor ad cloning (paste their ad → pick an avatar → regenerate) • Automated creator outreach with Clawdbot moltbot • Daily content generation using Arc Ads • Localization, repurposing, and multi-format output • Compliance cleanup + optimization • Automatic posting across a Multi-Platform Swarm (hundreds of agents) No touchpoints. No delays. No human bottlenecks. Just a decentralized force of AI + UGC creators selling while you sleep. Real results: • $0.10 CPMs • Thousands of organic views daily This is the Creator Agent Method: a plug-and-play system that replaces entire creative teams and launches content at a speed humans simply can’t compete with. I packaged all 12 Agents + AI V2 workflow so you can deploy the exact system for your brand. Comment AGENT and I’ll DM you everything for free. (Deleting soon) P.S. Repost for early access to the complete 12-Agent stack
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Lorenzo | Meta Ads & Performance Creatives 📈
ChatGPT has changed ad creatives FOREVER. We're creating a ton of static ads with AI faster than ever for our 8-figure DTC clients. I've just created a FULL guide on how you can do the same: - Basics - Prompts - Formats to Test - Winning Examples - How to Edit & Create Them Here's how to get it: Comment “AI” and I’ll send it over. (Must be following) 500+ Brands already have access to this.
Lorenzo | Meta Ads & Performance Creatives 📈 tweet media
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mod_ranger.sol
mod_ranger.sol@mod_ranger·
Holy smokes @cryptocom your exchange rates are awful. I guess when you’re spending half your revenue on marketing expenses you need to make it up from the customers.
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mod_ranger.sol retweetledi
SOLYD
SOLYD@SOLYD_STORE·
Pre-orders are live for SOLYD cases. Protect your Seeker and get rewarded 👇
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sns.sol
sns.sol@sns·
gm been waiting to say this: today's the day
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Charizard.sol
Charizard.sol@CharizardSol69·
Converting this page into a news account soon I think I have a name But if you have a better suggestion will give $500-$1000👇
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👈.sol sherlock.sol poppy.sol lafite.sol
The domain token ns of sui had a circulating market value of 100 million at TG, and currently. sol has been extensively flipped over to. ens. I think the airdrop circulation market value of SNS tokens is between 200-500 million, corresponding to SNS token prices between 0.08-0.2u
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