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Your business tools each hold one card. Skopx brings them together with AI workflow automation. Better business decisions start with connected data not expensive guesses. #AIAutomationTools# #BusinessProcessAutomation# #Skopx#

AI won't replace people. People using AI will replace people who don't. 真正拉开差距的，非 AI 本身，而是每天都在用 AI 的人。 #AI# #ChatGPT# #AIAutomation# #AITools# #Productivity# #FutureOfWork# #WorkSmart# #Automation# #DigitalSkills# #PersonalGrowth# #BuildInPublic# #OnlineBusiness# #CreatorEconomy# #TechTrends# #Web3# #Cryptocurrency#

FULL INTERVIEW: Former SpaceX CIO Ken Venner on Scaling Broadcom & SpaceX "@elonmusk was really good about keeping the mission as a forefront focus for what we were doing, & just energized everyone to get it done." Now Chief Tech & Product Officer, @Senra_Systems Ken Venner spent 11 years at Broadcom, joining at 1,000 people and $400 million in revenue and leaving at 10,000 employees and $8.6 billion, across 52 acquisitions. Then he became CIO of SpaceX, where Elon hired him to build the digital nervous system for a 21st century rocket company. The result was Warp Drive, the custom operating system that helped scale SpaceX from about 1 booster a year and 1,000 employees to 40 boosters and 9,000 employees. He recently joined Senra Systems as Chief Technology and Product Officer, this is a sit-down on how he scales companies.. wish we had more time. "Scaling up & scaling out are my core skills." We cover the Broadcom years & why process kills growth if you add it too early, the tour of the Hawthorne factory that got him to leave, working for Elon & @Gwynne_Shotwell, why he spent two years thinking Warp Drive was a terrible idea.. & what changed in year three. Ken also breaks down Elon's playbook: first principles thinking, "remove before automate," and the responsible engineer model where one person owns a part from requirements through post-flight with no handoffs. Plus: why he had 175 engineers building core platforms at SpaceX and only needs 6 at Senra, the law of threes for scaling factories, why he still works after one of the largest wealth creation events ever, and his winery in Sonoma. 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 00:00 Meet Ken Venner 00:17 Why Join Senra 01:26 Scaling Playbook 02:08 Broadcom Growth Lessons 03:48 Broadcom Jump to SpaceX 05:16 Building SpaceX Systems 06:39 Elon Leadership Principles 07:43 Gwynne & SpaceX Culture 09:39 Why Keep Working? 11:14 Law of Threes - Scaling 11:56 AI & Automation Changing the Game 13:35 Senra Name Story 14:07 Winery Side Project (Auteur Wines - Healdsburg, CA) 14:55 Next 12 Months Outlook

一个开发者使用 Claude Code 每月为 47 个单独的小企业客户赚取约 400 美元，每个客户。这种系统遍历 Google Maps，自动识别并转化没有网站的本地商户，无需人工干预，从传统外包模式中平了中间门槛。是否能扩展到更多细分服务领域？ #AI# #Automation# #BusinessGrowth#

O’KEEFE INFILTRATES NJ ANTIFA: Inside “NJ BURN” — Rutgers University Director, T-Mobile AI Leaders, OpenAI /ChatGPT Engineer, Reverend From Princeton Theological Seminary, and ACLU Board Member Discuss Port Newark–Elizabeth Blockade Riot, Road Spikes, Tire-Slashing of New Jersey Police Vehicles, “Ukrainian-Style” Protest Tactics, and Celebrating Charlie Kirk’s Murder. NJ ANTIFA INDIVIDUALS IDENTIFIED: • Alexyss P. - New Jersey Coalition Against Sexual Assault Community Council Member @NJ_CASA • Jim Keady @JWKeady -  Former New Jersey Democratic Candidate • Woojin Ko - OpenAI Research Engineer @OpenAI • Beleckecom Moffouk - T-Mobile AI Automation Expert @TMobile • Zainab Tanvir - Imaging Director at Rutgers University @RutgersU • Amanda Marie Dominguez - Rutgers University PHD Student in Education @RutgersU • Aditi Rao @aditilrao - Princeton University Classics @Princeton • Shannon Smythe - Princeton Theological Seminary Field Education Director @Princeton • Cres Vellucci @CresVellucci - National Lawyers Guild Co-Founder/Co-Member & ACLU Board Of Directors  @NLGnews @ACLU • Celine Semaan @celinecelines - Co-Founder Slow Factory Labs @theslowfactory

This is insane. A college dropout from Massachusetts Institute of Technology reportedly made $297,000 using a simple Bitcoin arbitrage strategy. He noticed BTC was selling for thousands more on overseas exchanges due to local demand. So he would: • Buy BTC cheap on U.S. exchanges • Transfer it overseas • Sell it higher instantly • Repeat daily Once he automated the process with bots, the profits scaled fast. No meme coins. No gambling. Just spotting inefficiencies before everyone else. The biggest money is made where attention is low. I have a complete arbitration course. Action items: Learn AI + automation Study market inefficiencies Build systems, not hype Test ideas daily Follow me @mikezillionaire Comment “AI” and like + share to get the course👇

So few people are actually taking advantage of AI to automate boring work. I sat down with @bentossell to chat about how to close the gap in the world of AI automation using low/no code tools like Zapier and others. Happy automating : )

if you want to automerge thousands of pull requests , this is how she does it (via @poteto). 809 in june. 10,926 in october. merged prs a month that touch the grok bot team's code. i went through her posts and put the setup in one place. every pr still gets an agentic risk review plus bugbot. low- and medium-risk ones automerge. only higher-risk ones get a person. day to day, in her words, it's just grok bot and cursor projects. she used to have more cursor automations and replaced them with slack bots that have routines. she works on many streams in parallel with pstack: perf, bug fixes, agent-friendly refactors, her own skills, features, ui polish, the harness, release and observability. not from sitting in a review inbox. she's said the speed gains come from parallelizing. a single chat can take longer because of verification. she handholds it less, so she can run several large projects at once. the real setup is in the codebase and the checks around it. she treats the codebase as memory. every agent mistake needs to turn into a constraint. her team built their own framework for grok bot so some anti-patterns become hard to write at all. agents have to verify their own work. they run the app, and can sometimes model it in tla+. they produce screenshots or video that are easier to check than the whole pr. formal verification skills and ordinary run-and-debug skills work together. she calls this an inverse pyramid. push as much as you can into determinism (fuzzing, property tests, formal and runtime verification, stricter languages) instead of spinning up more agent swarms. in her oct 6 post, she tells sandcastle, a grok team bot, to cut. it runs a buildkite dry run, dms every pr author (they can object), kicks the build, and watches it. then it starts a fuzz swarm: usually 10+ agents on grok 4.7 xhigh, some directed, some chaos monkey, using their verification skills and feature map. when something is high priority, she tells sandcastle to @ mention poteto, her engineer bot, which then spins up a cursor project to triage and fix. her team ships a new stable version of the client at least once a day. that's a lot of machinery under "just grok bot and cursor projects."

Hydrogen brings major leaps in intelligence, speed, and reliability: ⚡ Cutting-edge intelligence: Surpasses Argon on the @ArtificialAnlys Intelligence Index at default high thinking (and climbs even higher at xhigh), while finishing tasks faster than competing models in its class. 💻 Cleaner coding & debugging: More than triples 3.8 Flash on Terminal-Bench 4.1, cuts fabricated claims by more than 5X, and adapts cleanly when a tool call fails or a search returns empty. 💼 Top marks on real-world work: Ranks #1# on Vals Tax Agent Bench, ties for #1# on Vals Legal Research, and leads on AutomationBench-AA, Multimodal Knowledge Agent (MKA), and Agents' Last Exam.