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We're ed interactive group. We're about growing B2B different, better, smarter. Different in experience. Better at creating value. Smarter at sharing insight.

Ste-Marg-du-lac-Masson, Québec
Joined December 2012
Photo by ed interactive group (@edinteractivegr)Photo by ed interactive group (@edinteractivegr)Photo by ed interactive group (@edinteractivegr)
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BREAKING: THIS IS THE FIRST AI SALES TOOL THAT DOES THE WHOLE JOB. PERIOD. NOT JUST DATA. NOT JUST ENRICHMENT. NOT JUST TEMPLATES. RESEARCH, VERIFICATION, AND A PERSONALIZED COLD EMAIL IN UNDER 2 MINUTES. AUTOGTM IS WHAT THE OTHERS PRETEND TO BE.

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holy f*ck, web designers have NO IDEA what’s coming after them in 2027 the ones learning AI tools right now are getting ahead. the rest might be fighting for jobs they used to take for granted. 7 GitHub repos every designer should know before it’s too late: 1. Graphify 137k stars and in Y Combinator. point it at your old projects, brand PDFs and screenshots, and Claude gets a memory of everything you've ever designed. "what did this client hate last time?" answered in seconds github.com/Graphify-Labs/gra… 2. Awesome DESIGN.md 84 design systems pulled from real sites, each one a single markdown file. drop it in your project, say "build me a page that looks like this", done github.com/VoltAgent/awesome… 3. Hallmark a design skill from Together AI that refuses to look AI-generated. 50 themes, checks every page in a real browser, and /hallmark redesign rebuilds any old page github.com/Nutlope/hallmark 4. Huashu Design one sentence in, a launch animation, clickable app prototype, editable PPT or infographic out. it shows you 6 directions first, you pick 3 github.com/alchaincyf/huashu… 5. Designer Skills Pack 273 skills and 76 commands for Claude Code: research, design systems, UI, interaction. a whole design department in one install github.com/Owl-Listener/desi… 6. Motion Design Skill LottieFiles taught AI to think like a motion director: timing, easing, choreography, Disney's 12 principles adapted for UI. this is where the "feel" comes from github.com/LottieFiles/motio… 7. Blender Agent Skills 22 pro Blender workflows for Claude Code: modeling, materials, rigging, animation, rendering. the full 3D pipeline, not just "make a cube" github.com/EL4CTEO/blender-s… the cell you're watching? built solo with Claude Code plus a few of these tools. no agency, no team, no After Effects. want to make something like this? like + save this post, comment "CELL" or DM me and I'll send you the exact prompt.
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Sweet. It's a 1 megawatt nuclear microreactor that fits in a shipping container. Gas-cooled, first by helium, then air. Runs for five years, then you ship it back to the factory, where they take care of the spent fuel and refuel it.
BREAKING: For the first time in American history, the Department of Energy has approved a commercial nuclear microreactor's safety analysis for full-power operations. LA-based Radiant secured the approval, with testing planned at Idaho National Laboratory.
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‼️NEW: Canada just dropped up to $1.6 billion of taxpayer cash on one of the worst-performing AI labs in the world. - Cohere’s top model sits at #210 on the LMArena leaderboard... The compute gap is brutal: - Cohere: 8,500 GPUs vs xAI who is ramping up to 1.21 MILLION chips. Cohere’s systems are 50–200× smaller than the frontier labs. Another flop. Its the Lyon electric of AI.
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The master biographer reflects at 91. The Robert Caro interview. 0:00:00 – How Caro gets people to talk 0:05:03 – Does America need a little more Moses today? 0:12:42 – Moses the young idealist 0:17:57 – Watching Moses lose power 0:24:01 – Did Moses realize he was changing? 0:27:53 – Building during the Great Depression 0:32:51 – The threats and promises of Lyndon Johnson 0:36:08 – Could Kennedy have passed Johnson’s laws? 0:41:00 – Getting a book down to one sentence 0:46:21 – All the material that never made it into the books 0:52:59 – Loneliness
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The mother of all interviews
The master biographer reflects at 91. The Robert Caro interview. 0:00:00 – How Caro gets people to talk 0:05:03 – Does America need a little more Moses today? 0:12:42 – Moses the young idealist 0:17:57 – Watching Moses lose power 0:24:01 – Did Moses realize he was changing? 0:27:53 – Building during the Great Depression 0:32:51 – The threats and promises of Lyndon Johnson 0:36:08 – Could Kennedy have passed Johnson’s laws? 0:41:00 – Getting a book down to one sentence 0:46:21 – All the material that never made it into the books 0:52:59 – Loneliness
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GitHub was packed with useful AI tools this week! 5 open-source repos that took off this week and are worth trying: 1) rea — Lets AI agents reverse engineer apps, binaries, APKs and firmware, locally and with evidence github.com/morluto/rea 2) security-audit-skill — Cloudflare's skill that turns your coding agent into a security auditor with verified findings github.com/cloudflare/securi… 3) Hallmark — Stops AI-built websites from looking AI-built, with 50 design themes and an "AI slop" linter github.com/Nutlope/hallmark 4) gpu-unlock — Removes the FP16 cap on GeForce RTX cards for faster fine-tuning and image gen (Linux) github.com/Zagitta/gpu-unloc… 5) DeepTutor — A self-hosted AI tutor that learns from your own notes and PDFs github.com/HKUDS/DeepTutor Which one are you trying first?
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One comparison to end the @bot vs @NousResearch debate once and for all...
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This is f*cking insane. Demis Hassabis spent 16 years building DeepMind and won a Nobel Prize Last week, he packed what he knows about the next 5 years into one free 1-hour talk He explains who survives what's coming and who doesn't Chatbots → Agents → Workflows → Automated Departments → One-Person Companies One person who really understands AI will outperform an entire startup team People pay $15K for bootcamps that teach less than this You probably don't have 1 hour right now Don't let this disappear from your feed Bookmark it and watch it tonight Then read how to build agents that actually finish the job in the harness engineering guide below ↓
Your agent is not autonomous You are its loop You check every step because nothing else in the system can I broke down the 7 levels from babysitting agents to running a fleet ↓
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David Lieb is a Silicon Valley veteran, seeing his reaction to subvocal is the best. “Remember to invest” 😂 I think silent input, like mumbling is just the beginning, direct brain activity reading (telepathy) will be next. watch this space
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🚨 ANTHROPIC JUST DROPPED A FREE CLASS ON RUNNING A COMPANY WITH ZERO EMPLOYEES most people still use AI like this: → open a chat → type a prompt → copy the answer → do it all again tomorrow this workshop teaches the opposite: agents that work while you don't. → they start on their own: a schedule, an API call, a GitHub event → they run in the cloud with your laptop closed → nobody has to hit "go" the work you repeat every day now runs without you. and it's free. 🔖 bookmark this, you'll thank me later
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There's a lab in San Francisco where rat brain cells sit in a dish and get shown pictures all day. That dish just made AI video five times cheaper. And none of those brain cells are in the product. They never leave the lab. The company is called The Biological Computing Co., and it was started by two neurosurgeons, Alex Ksendzovsky and Jon Pomeraniec. They grow neurons on chips covered in 4,096 tiny electrodes. Most come from rats, and some are grown from human stem cells. If you leave them alone long enough, the cells hook up to each other and turn into a living little network. Then they "show" the network pictures. Each image gets turned into a pattern of electrical zaps, and the electrodes record what the neurons do back. What the neurons do is pretty simple. A zap lights up the cells right around it, spreads a little way, and fizzles out. Real brains work like that too. Most of the wiring in your cortex is short-range, so one signal can't flood the whole thing. Now think about the last AI video you watched that ran past a few seconds. Faces start to melt and the background kind of oozes. That happens because each frame gets built off the one before it, so every tiny mistake gets copied forward and grows. TBC calls it washout. So they took what the neurons were doing and wrote it into code. It's a small add-on that plugs into the early layers of a video model and acts like a shock absorber. Nearby parts of the image stay stuck together, and little glitches die out before they can spread. In their test on a Minecraft video model, the add-on was about 156,000 parameters sitting on a model of roughly 600 million. Here's where the money comes in. A model that holds itself together can get away with fewer compute steps per frame, and fewer steps means less time renting GPUs. On the Minecraft model, that pushed it from about 2 frames a second to almost 10. The model they launched today, mischief 1, is Alibaba's open Wan 2.2 with TBC's add-on bolted on top. TBC says the add-on is less than a tenth of a percent of the model's size. So you're basically running Alibaba's model plus a sliver that a dish of rat neurons figured out. Half a cent per second of video. That's $2.50 for 100 five-second clips. If you're checking the math, the "5x faster" and "80% cheaper" TBC is quoting are the same claim, since using a fifth of the GPU time means paying 80% less. They also haven't put out independent benchmarks for mischief yet. The closest thing is an outside test on their Minecraft model by Bluesky Compute, which found inference costs about 4.4x lower. What nobody can answer yet is whether some engineer at a desk would've found the same trick eventually without the neurons. TBC is betting evolution already spent a few hundred million years working this stuff out inside a brain that runs on about 20 watts, and a dish of cells wired to electrodes is the quickest way to copy its homework. Earlier this year a dish of human neurons learned to play Doom, and people started asking when brain cells would run real software. This is probably what that looks like for the next few years. The cells stay in a lab in San Francisco getting zapped, and the notes somebody takes on them are what you end up using.
today, we introduce a little mischief to the world. for four years, we’ve been brewing real brain cells on electrodes to understand how they compute. now, we’ve turned those discoveries into a video model anyone can use. from 0.5¢ a second, mischief 1 is at least 5x faster than its base and the cheapest image-to-video model on @fal and @OpenRouter. soon to be on @awscloud marketplace. it’s not a delusion anymore. biocompute is real, commercial and this is just the beginning. happy halloween.
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So they've indexed 2 billion people Not 2 millions but 2 BILLION so you can use your agent to find anyone and reach out. Many use cases in sales, research, recruiting, etc. People were already doing that manually... now it's way faster and more accurate. Agentic workflows to another level.
🤝 Paid partnership
Introducing Ploid. I think the world's data should belong to everyone, so we indexed over 2 billion people globally. Ploid turns the public web into one profile for every person and company on earth, and serves it to you and your agents for cents. We're mapping the human economy, and we're live today. ploid.com
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We are developing a drug that opens up the capillaries and fills the body’s tissues with a compound that - according to our partner military labs - destroys all known pathogenic bacteria, all known pathogenic fungi, biofilms, influenza virus as well as viruses of the herpes family. These are facts. The FDA recently designed this product a Qualified Infectious Disease Product (QIDP) for all cause pneumonia, giving us FDA Fast Track, and Priority Review. Good news for the day. ❤️‍🩹🫡
MICROSCOPY. Making the invisible visible since 1590. (Yes, those little white balls are actually immune cells flowing through the tinniest blood vessels! Imaged painlessly, non-invasively through the skin)
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网景创始人 、硅谷顶级投资人Marc Andreessen 在访谈里坦言,他看到了科技史上最可怕的一道认知鸿沟, 传统巨头以为 AI 只是个降本增效的插件,而新一代 AI 原生团队,正在用完全非人的组织效率掀翻整个商业版图。 当年写出网景浏览器、见证了整个互联网三十年兴衰的 Marc Andreessen,坐在 Ben Horowitz 面前直接发出了感慨, 如果 1994 年我们做 Netscape 的时候就有今天这种 AI 工具,那简直不可想象。 现在绝大多数传统巨头和现有企业,依然在用改良软件的旧思维去看待大模型。 在他们的组织逻辑里,AI 只是一个高级功能,用来给现有业务做个插件、在钉钉里加个智能助手、或者把客服团队砍掉 20% 省点成本。 他们以为自己在拥抱变革,其实只是在给老旧的蒸汽机打补丁。 但真正恐怖的事情,正在那些刚成立的 AI 原生团队里发生。 那些创始人对 AI 能力的理解,跟大厂完全不在同一个平行宇宙。 他们每周都在看着底层技术飞速进化,而且他们压根不会把自己定义成一家软件公司、硬件公司、甚至是一家 AI 公司。 以前创办一家公司,你的组织架构是按人类的协同瓶颈搭出来的: 招产品经理写文档、招工程师写代码、招法务改合同、招运营做投放。 因为人类的脑力带宽有限,所以必须靠庞大的部门和管理层级来支撑业务。 而真正的 AI 原生物种,是用机器智能作为最底层的骨架。 两个人加上一整套自动化 Agent,可以直接把从市场洞察、软件工程、全栈设计到商业销售的链路全部跑通。 他们不是在效率上快了 30%,他们是在组织形态上彻底跨越了一个物种。 大厂的盲区,从来不是买不起算力,而是他们无法理解组织本身才是最大的负债。 当现有企业还在开会讨论如何把 AI 塞进现有的业务流程时,新一代的野蛮人正在用完全超越行业界限的方式,把传统的业务流程连根拔起。 未来拉开人与人、公司与公司之间差距的,根本不是你用了哪个模型,而是你到底是在用新工具维持旧世界的体面,还是用新世界的底层逻辑,重新定义了自己能做的事情。
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AI Token spending has completely collapsed the last two months. There has been zero growth in the AI sector, that's why pre-IPO shareholders in Anthropic and OpenAI are panicking to go public. Brad Gerstner is a pre-IPO investor, that's why he's been on CNBC telling everyone to buy AI. The bubble popped in July 2026.
Anthropic's annualized revenue run rate was just leaked, showing it peaked back in July 2026. That month sounds familiar doesn't it? 🤨 That's exactly when the psyop Jacob Coxon was deployed across all mainstream media, scaring everyone that AI would destroy the world. Now we know why AI companies are panicking. Their revenue has peaked but their costs keep rising. They've run out of funding because flat revenue = no more "investment" loans, yet their cash burn rate is still skrocketing. They need a taxpayer bailout to continue spending a.k.a. "regulation".
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Want to have your mind blown? In 1971, the median household income was $9,030, or 220 ounces of gold. In 2025, it was $87,460, or just 25 ounces of gold. Your paycheck went up 10x. Measured in gold, it fell 88%. To earn what the median household earned in 1971, you’d need about $890,000 per year today. That’s what fiat debasement looks like.
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Answer 5 questions and find out how much your company data is worth. Companies are earning $100K–$2M+ by licensing anonymized operational data to micro1 for AI training. See how much your company’s data could be worth

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This Claude prompt wipes your name, phone number and address off the internet. "Adopt the role of a privacy investigator who's helped hundreds of people disappear from data brokers, people-search sites and old accounts. I want my personal information off the internet. Work through it with me one step at a time, then give me: → every place my name, phone, email and address show up, with links → the opt-out page for each one, worst first → the old accounts I should close, and how to delete each one for good → a GDPR or CCPA deletion letter for every site with no opt-out button Don't submit, send or delete anything until I approve it. My name, city, email and old usernames: [YOUR DETAILS]"
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Uh oh... Jensen Huang just jumped ship, abandoning OpenAI and Anthropic; telling every nation they need their own sovereign AI. Is it over for Sam Altman? $NVDA
October 1929 vs 2026 Dow Jones $DJI
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