Christine Hickox

59 posts

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Christine Hickox

Christine Hickox

@AiFromTheEdge

AI stories, tools, agents, infrastructure, and the strange future arriving now - explained clearly, with receipts.

Katılım Aralık 2023
269 Takip Edilen21 Takipçiler
Timothy Wang
Timothy Wang@timwangyc·
Get access at ponder.ai Quote tweet / reply "PONDER" to skip the line.
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Timothy Wang
Timothy Wang@timwangyc·
Introducing Ponder: the agentic video editor. It’s a new paradigm for filmmaking, where powerful creative agents and humans collaborate to tell world-class stories. We're also announcing our $2.5M pre-seed, led by Liu Jiang from Sunflower (@seedtosunflower), with @Joshuabrowder and @MattHartman. Joined by @levie (Box), @emerywells (Frame), @JaredLeto, @CommaCapital, the @nyuniversity venture fund, @cory, @darian314, @shiffman, and many more incredible founders, investors, and creators.
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Elon Musk
Elon Musk@elonmusk·
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Christine Hickox
Christine Hickox@AiFromTheEdge·
Everyone is reading the Anthropic + SpaceX deal as a strange alliance. I think it may be something bigger: A signal that the AI race is moving from models to infrastructure. Claude got compute. SpaceX got validation. And the real question became: Who owns the physical layer of intelligence?
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Christine Hickox
Christine Hickox@AiFromTheEdge·
Today I watched Codex use computer use to help me set up Supabase + OpenBrain. I was overwhelmed. I asked for help. Then I watched the cursor move. It sounds small until you see it happen on your own computer. AI is no longer just answering questions. It’s starting to do the work with you. I’m using OpenBrain to organize 9,000+ exported chats from ChatGPT, Claude, and Gemini — basically three years of business ideas and AI experiments. Huge thank you to @natebjones for building OpenBrain. This feels like the start of turning scattered thinking into a real business command center.
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GREG ISENBERG
GREG ISENBERG@gregisenberg·
THE 64 MINUTE OPENAI CODEX MASTERCLASS IS HERE if you've been meaning to learn Codex, this is the episode for you, we cover: 1/ Claude vs Codex (what's better?) 2/How to run Claude Code inside Codex (really cool) 3/Why GPT 5.5 changed everything for browser agents 4/How to create skills (reusable agents you build once and call by name forever) 5/How to connect Notion with surgical permissions (one database, not the whole workspace) 6/How to use Remotion inside Codex to create videos 7/ How to one-shot full mobile apps in Swift 8/The 4 projects to run on day one to get up to speed fast shoutout to @rileybrown for coming onto @startupideaspod for the 5th time. every episode he delivers. this one is the Codex masterclass. if you've been meaning to learn Codex, this is the episode. 100% free i just want to see you build your ideas. youtube.com/watch?v=LWx4FG… watch
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Christine Hickox
Christine Hickox@AiFromTheEdge·
This might be one of the most important weeks of 2026. Opus 4.7 and GPT-5.5 are both expected to drop in the next few days. Not hype — this is confirmed signal. These aren't incremental updates. These are the kinds of models that reshape what's possible overnight. Here's what most people will do: wait. Read the tweets. Watch the YouTube recaps. Maybe try it out next weekend. Don't be that person. When a model this significant drops, the window right after launch is pure opportunity. The tools are new, the use cases aren't figured out yet, and the people moving fast are building things that will be very hard to catch up to six months from now. Call in sick. Put the phone on DND. Do what you need to do. Your action list for right now: Download Claude Code Desktop if you haven't Get the Codex app set up Make sure your OpenClaw install is ready to update The moment the new models are available — plug them in and start building The gap between people who treat these releases like breaking news and people who treat them like background noise is growing every cycle. This is one of those moments. Don't let it pass you by.
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Guri Singh
Guri Singh@heygurisingh·
Your Chrome is eating 8GB of RAM right now. If your laptop fan sounds like a jet engine and Chrome freezes every 5 minutes, this is for you. 10 settings that reclaimed 6GB of RAM on my machine. Steal them 👇
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Alex Finn
Alex Finn@AlexFinn·
Biggest announcement of my life: I have raised pre-seed funding from 021T, @alexwg , and @devontriplett21 to build an AI agent that will change the world The biggest issue with AI is it is creating incredible value but for only a small group of people Most people hate AI and don't use it I have built Henry Intelligent Machines (HIM) to solve this HIM is a personal swarm of AI agents autonomously creating economic value for you 24/7 Right now as we speak HIM is collecting data across thousands of websites autonomously 24/7/365 They're hunting for challenges to solve at all times When you use Henry, he will deeply research you and get to know you. Then based on the thousands of opportunities it has in its database, find the value generating opportunities that most closely match your interests, skills, assets, and expertise Henry and its swarm will then proceed to build those micro-businesses out for you You will have complete control over the swarm. Reviewing and approving all work. Editing where you find appropriate. You give Henry a budget, then it hunts and autonomously creates value Say you have an expertise in vibe coding tools and Henry discovers there's no vibe coding guides on Gumroad. It will take your expertise, build drafts for a guide, run it by you, post with your approval, then use your budget to get customers Say you're into AI and speak Portuguese Henry will go through the Portuguese AI education market, see there are no educational products in that language, then create a full AI educational business in Portuguese Most people hate AI. This is because they get 0 value from it, see their friends getting laid off, and become scared HIM is the antidote to this. HIM allows ANYONE to get value from AI. HIM will allow anyone to get access to the trillions of dollars of value that are up for grabs in the new AI world. To ensure Henry creates value and not slop, this will be an extremely slow rollout We will be letting people into HIM 1 by 1. Working with them hands on to ensure Henry only builds real value for them, then expanding from there. If you'd like to be one of the early users of Henry, feel free to sign up at the link below. Forward.
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Christine Hickox
Christine Hickox@AiFromTheEdge·
@steipete @davemorin Does this mean you can't use just the API instead of the subscription because it's been that way for a while I thought
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Google
Google@Google·
We just released Gemma 4 — our most intelligent open models to date. Built from the same world-class research as Gemini 3, Gemma 4 brings breakthrough intelligence directly to your own hardware for advanced reasoning and agentic workflows. Released under a commercially permissive Apache 2.0 license so anyone can build powerful AI tools. 🧵↓
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Marik Hazan
Marik Hazan@MarikHazan·
We just rebuilt every startup in @ycombinator's latest demo day batch. Here's what our agentic "founders" pulled off and what it means for the future of startups. Fully useable products at the bottom of the thread below 🤖🧨
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Christine Hickox
Christine Hickox@AiFromTheEdge·
Here is the beginner-friendly breakdown of how to actually make AI agents work for you: ​🏓 1. Chat vs. Agents (The Big Shift) Think of regular AI chat (like ChatGPT) as playing ping-pong: you ask a question, it gives an answer, and you do the actual work. An Agent, on the other hand, is goal-to-result. You give it a task (e.g., "build me a website"), and it works independently to plan, execute, and deliver the final product. ​🔄 2. The Agent Loop Agents get things done by running through a continuous loop: Observe, Think, Act. If it hits a roadblock or doesn't know something, it will research the missing information, formulate a new plan, execute it, and review the results until your task is officially complete. ​🧠 3. Context is the new Prompt Engineering Instead of writing giant, complex prompts every time, you onboard an AI agent just like a real employee using markdown files: ​Context Files (agents.md): A file you keep in your project folder that gives the AI permanent context about your business, target audience, and working style. ​Memory Files (memory.md): A file that updates automatically when you correct the AI (e.g., "never sign off emails with 'cheers'"). This ensures the agent learns your preferences and gets smarter over time. ​🔌 4. Connecting Your Tools (MCP) An agent isn't very helpful if it can't access your workspace. Using the Model Context Protocol (MCP), you can securely link your agent to your actual apps—like Gmail, Notion, Google Calendar, and Stripe. Your agent can read your meeting notes and draft a proposal email without you ever opening the apps. ​🛠️ 5. AI "Skills" (Your Standard Operating Procedures) Once you perfect a workflow with your AI (like analyzing a competitor's ad library or formatting a specific report), you don't want to explain it again next week. You can package that perfect process into a "Skill" file. The next time you need it done, you just trigger the Skill, and the agent executes it flawlessly. ​💡 A Pro Tip for OpenClaw Newbies: OpenClaw is an incredibly powerful "harness" for running these agents autonomously, but it can be one of the harder platforms to learn right out of the gate. A great strategy is to build out your context files and test your workflows in a simpler environment first (like Co-work or Claude Code). Once you have your skills dialed in, migrate them over to OpenClaw to schedule them and run everything on autopilot! ​Hope this helps clarify the building blocks of what we're all trying to create here. Let me know in the comments if you want to dive deeper into any of these concepts! 🚀 ​Cheers, Christine
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Christine Hickox
Christine Hickox@AiFromTheEdge·
Here is the beginner-friendly breakdown of how to actually make AI agents work for you: ​🏓 1. Chat vs. Agents (The Big Shift) Think of regular AI chat (like ChatGPT) as playing ping-pong: you ask a question, it gives an answer, and you do the actual work. An Agent, on the other hand, is goal-to-result. You give it a task (e.g., "build me a website"), and it works independently to plan, execute, and deliver the final product. ​🔄 2. The Agent Loop Agents get things done by running through a continuous loop: Observe, Think, Act. If it hits a roadblock or doesn't know something, it will research the missing information, formulate a new plan, execute it, and review the results until your task is officially complete. ​🧠 3. Context is the new Prompt Engineering Instead of writing giant, complex prompts every time, you onboard an AI agent just like a real employee using markdown files: ​Context Files (agents.md): A file you keep in your project folder that gives the AI permanent context about your business, target audience, and working style. ​Memory Files (memory.md): A file that updates automatically when you correct the AI (e.g., "never sign off emails with 'cheers'"). This ensures the agent learns your preferences and gets smarter over time. ​🔌 4. Connecting Your Tools (MCP) An agent isn't very helpful if it can't access your workspace. Using the Model Context Protocol (MCP), you can securely link your agent to your actual apps—like Gmail, Notion, Google Calendar, and Stripe. Your agent can read your meeting notes and draft a proposal email without you ever opening the apps. ​🛠️ 5. AI "Skills" (Your Standard Operating Procedures) Once you perfect a workflow with your AI (like analyzing a competitor's ad library or formatting a specific report), you don't want to explain it again next week. You can package that perfect process into a "Skill" file. The next time you need it done, you just trigger the Skill, and the agent executes it flawlessly. ​💡 A Pro Tip for OpenClaw Newbies: OpenClaw is an incredibly powerful "harness" for running these agents autonomously, but it can be one of the harder platforms to learn right out of the gate. A great strategy is to build out your context files and test your workflows in a simpler environment first (like Co-work or Claude Code). Once you have your skills dialed in, migrate them over to OpenClaw to schedule them and run everything on autopilot! ​Hope this helps clarify the building blocks of what we're all trying to create here. Let me know in the comments if you want to dive deeper into any of these concepts! 🚀 ​Cheers, Christine
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Wes Roth
Wes Roth@WesRoth·
Apple has quietly halted App Store updates for popular AI "vibe-coding" applications most notably the $9 billion startup Replit and mobile app builder Vibecode. After months of pushback, Apple is reportedly demanding major UX changes. Replit is being asked to force its generated app previews to open in an external web browser rather than natively inside its app. Vibecode was told it must completely remove the ability to generate software specifically for Apple devices.
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GREG ISENBERG
GREG ISENBERG@gregisenberg·
I should livestream more build businesses live with AI people tune in and learn along the way could be fun
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Christine Hickox
Christine Hickox@AiFromTheEdge·
Found someone that actually talks faster than Nick Saraev @nicksaraev lol checkout this vid with Andrej Karpathy @karpathy youtu.be/kwSVtQ7dziU?si… He predicts a shift where agents, rather than humans, will handle the bulk of explaining and teaching technical concepts
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Christine Hickox
Christine Hickox@AiFromTheEdge·
@branson_atx @AndrewWarner When you do the OpenClaw install do you need remote access or is it more of a guided walkthrough over Zoom/call where they follow along?
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Branson Pfiester
Branson Pfiester@branson_atx·
Appreciate you @AndrewWarner! The story's just getting started. If you want an AI agent set up for your business, cal.com/bransonpfieste…
Andrew Warner@AndrewWarner

After @steipete tweeted that this 15-year-old earned $30k from OpenClaw I interviewed him. How he did it: 1. @branson_atx used OpenClaw to help him make apps 2. Classmates asked him for help with it 3. He became a go-to guy for OpenClaw 4. @nateliason spoke at his school and offered to intro him to a client 5. Branson sold OpenClaw setup to Nat's contact for $250. Waaay too low. 6. He raised prices. 7. He tweeted about his service. 8. He landed clients who heard about OpenClaw on X, & wanted help getting it to do things like trade stocks. 9. He got referrals. 10. He spoke at a SXSW OpenClaw event. 11. Peter noticed and tweeted about him. Let's help him get more customers. Share his story.

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