George

Wait for meeee!!! That’s literally me watching everyone ship their AI tools and apps while I’m still out here headbutting bugs like these goats. How we feeling this morning? Shipping or still chasing the herd? 😭

No matter how many YouTube breakdowns or Reddit threads you consume, actually running agents is still the fastest way to understand orchestration. 𝗠𝘆 𝗰𝘂𝗿𝗿𝗲𝗻𝘁 𝘀𝗲𝘁𝘂𝗽: - one repo, one agent experiment per folder - something looks useful, wire it up - define exactly what you need the agent to do - find the minimum viable prompt or tool call - run, observe, adjust The key is ruthless minimalism. Strip it down until the agent either works or fails clearly. Early on, you will over-engineer everything. Eventually, you learn to mock outputs, hardcode data, and isolate the one thing you actually need to test. Also, resist the urge to productize every experiment. The goal is understanding. Once you have it, move on. Yesterday I wired up a routing layer between Claude and Grok to test handoff logic under load. I already had a theory. The experiment gave me real numbers and two things I was completely wrong about. Cannot recommend getting your hands dirty enough.

I used to think "more agents = more output." The longer I build, the more I see how wrong that is. If agent count mattered, the guy running 47 bots with no clear orchestration logic would be shipping the most.

Agent advice: just ship it Prompt advice: just ship it Automation advice: just ship it Orchestration advice: just ship it Solo founder advice: just ship it

This 4-hour Claude course is actually worth watching. Most courses are just hype and surface-level stuff. This one is properly detailed and practical. If you're serious about building with AI, save this one.

@cursor_ai 38% geomean speedup on CUDA kernels in just 3 weeks? That's actually insane. The multi-agent orchestration is quietly becoming the real superpower.

We've been developing a multi-agent system that builds and maintains complex software autonomously. Recently, we partnered with NVIDIA to apply it to optimizing CUDA kernels. In 3 weeks, it delivered a 38% geomean speedup across 235 problems.

@nikitabier Cashtags on X are lowkey huge. No more breaking your doomscroll to check prices. Just tap the $ticker and stay in the app. This is elite.

𝕏 has always been the best source of financial news for traders and investors. Billions of dollars are allocated every day based on what people read on Timeline. Today we're launching our new Cashtags feature in the US and Canada on iPhone, bringing real-time financial data to X. Here's how it works: 1. When you search for or post a cashtag (or contract address), X will automatically suggest matching stocks or crypto tokens, so you can select the exact asset you had in mind. 2. Anyone who taps a Cashtag will see posts mentioning it along with its price chart—without ever leaving X. This ensures that you're always matched to the chatter for the right stock or token. Cashtags are just the first step in our commitment to be the best destination for the finance and crypto community.

@midjourney V8.1 looking sharp. Image prompts back, and 3x faster is actually insane. We are gonna have fun with this one.

V8.1 is live! Our iconic aesthetics are back w native 2K HD rendering - 3x faster and 3x cheaper vs V8. Full quality V8.1 1K mode is faster than V7 draft mode. Image prompts are back. New "Describe" is live - and you'll love our new moodboards & srefs. More soon <3

@AndrewCurran_ GPT-5.4-Cyber is such a ridiculous name, but giving trusted defenders fewer restrictions is actually a smart move. Finally feels like OpenAI is thinking about real use cases instead of just safety theater.

New model: GPT‑5.4‑Cyber 'Today we’re expanding this program by introducing additional tiers of access for users willing to work with OpenAI to authenticate themselves as cybersecurity defenders. Customers in the highest tiers will get access to GPT‑5.4‑Cyber, a model purposely fine-tuned for additional cyber capabilities and with fewer capability restrictions.' openai.com/index/scaling-…

@OpenAINewsroom 4x tax queries on ChatGPT makes total sense. Nothing brings out the need for an AI agent quite like trying to figure out your own taxes.

With Tax Day approaching, more and more Americans are using ChatGPT to navigate questions about their taxes and filings. Total tax-related queries on ChatGPT in the US have increased 4x from Q1 2025 to Q1 2026. Approximately one-third of tax-related messages concern earnings and withholding questions; more than 30% are about help with filing forms and using tax software; and roughly 10% are about investment and retirement reporting questions.

@FZierer Congrats, Francis, that’s awesome growth! From 16 to 5k is no joke, well earned! Planning to start a newsletter, so need to watch today's podcast.

We hit 5,000 YouTube subscribers on Creator Spotlight a few minutes ago. Up from 1,246 on the same day last year and 16 the year before. Long way to go; YouTube is tough (at least when your videos are niche, hour-long, remotely recorded podcast episodes). But I'm proud of this!

@cailynyongyong @minmax0501 @getyourmomo This is actually useful, no fluff, just real steps. Thanks Cailyn! The 1-second hook part really hit different

HOW TO GO VIRAL ON X: complete basics easy mode with first guest as @minmax0501 00:00 Intro 00:50 @getyourmomo 01:16 First guest intro 02:16 Warm up account 02:51 Tip 1: tag communities 04:19 Tip 2: tag famous accounts 05:06 Understanding X audience 06:00 Things that didn’t work 06:28 Linkedin vs X 07:14 Tip 3: post everyday 08:20 Do videos work? 09:03 Tip 4: post successes 09:44 Do multiple channels work? What’s the difference? 10:40 Tip 5: wait for random viral posts 12:00 What’s your brand message? 13:10 Tip 6: Copy viral templates from competitors 13:25 Tip 7: Follow the trend 14:35 How to structure demo videos 15:10 1 second hook 16:13 First 5 seconds matter 17:48 1 feature / video 19:17 Story telling 21:32 Writing good script 22:47 Yeet

@VaibhavSisinty This is cool, but calling it a full agent feels like a stretch. It's still a very smart script with access to your inbox and calendar. The "human review" toggle is basically Google admitting it's not ready to go full autonomous yet.

Google just built Cowork and called it Agent. And they added one thing Anthropic didn't. You set a goal. It browses the web, digs through your Gmail, checks your Calendar, pulls from Drive then executes the full task. Book a trip. Clear your inbox. Research a market. Done. No back and forth. But here's the part nobody's talking about: There's a toggle "Require a human review." You don't build that unless the plan is to eventually not require it. Google just told you where this ends. I share updates like these in my free AI community on WhatsApp. Join here 👇 join.switchit.app/X

@OpenAI Still feels like OpenAI is building walls while the rest of us are trying to build actual systems that work across models. The real game is orchestration, not another gated model.

We’re expanding Trusted Access for Cyber with additional tiers for authenticated cybersecurity defenders. Customers in the highest tiers can request access to GPT-5.4-Cyber, a version of GPT-5.4 fine-tuned for cybersecurity use cases, enabling more advanced defensive workflows. openai.com/index/scaling-…

@gregisenberg The model is becoming a commodity. The real money is in the triggers and the orchestration layer that actually makes them useful.

claude code just shipped routines you tell it what to do, point it at your project, set a trigger, and it runs 24/7 on their servers with your laptop closed i immediately thought of larry ellison: "the money is never in the technology, it's in the infrastructure the technology runs on" the model is the commodity. the trigger is the product. and whoever maps the most valuable real world events to the most specific industry workflows is going to build something massive here's what i mean by trigger.... a permit gets filed. a customer's usage drops 40% in a week. a competitor launches a feature. a deal sits in your pipeline untouched for 14 days. a contract hits 90 days before renewal. a stripe payment fails. these are all triggers. some public, some inside your own tools and every single one is a moment where an AI agent can step in and do something valuable before a human gets around to it the playbook is like this: map every trigger that matters in one industry → wire an AI agent to each one → sell the outcome. the person who shows up first with exactly what someone needs at exactly the right moment wins the deal every time and the people who go embarrassingly deep on one industry's trigger map are going to build generational companies that's the entire game right now for people reading this tweet. claude routines, openclaw, hermes etc... the infrastructure is all here. just pick your niche build audiences/content to get awareness wire the agents to triggers start selling and pinch yourself that this is the greatest time in history to be starting a company let's go

@GoogleAIStudio No more staring at ugly default UIs while the app is building. Gemini quietly saving devs from themselves.

Gemini now generates designs for your apps while they’re building! pick between 5 themes, hit apply, and get beautiful designs out of the box. now live in AI Studio

@milindlabs @FarzaTV @Microsoft Switching to OmniParser V2 for local UI detection at 400ms is such a smart move. No more API roundtrips killing the experience. This is exactly the direction agents need to go.

I took Clicky and I made it 5x Faster So I saw that @FarzaTV was using uses Claude's vision to find UI elements on screen, send a screenshot, wait for coordinates back. It works, but it's slow. I replaced that with OmniParser V2 by @Microsoft which is a local Object detection model trained specifically on UI elements. It runs on-device, detects every button, menu, and icon in 400ms, and gives me pixel-precise coordinates. No API call, no latency, no cost. The green highlights you see around the UI elements is the detection overlay and you can see as I am switching the screen it takes no time to detect and highlight which is pretty neat! With Local models improving by the day, Its the right direction for applications like these. Next up: video-synced tutorials where a YouTube tutorial pauses and waits for you to perform each action in the real app. I am not stopping!

@OfficialLoganK Turning the wait time into something useful is such a smart move. Love this touch.

Introducing design previews in Google AI Studio's vibe coding experience 🎨! Now while you wait for an app to be built, Gemini will create custom themes you can easily choose from in seconds. Rolled out and available to everyone right now : )

@GoogleDeepMind Robots finally understanding the real world instead of just seeing pixels we’re one step closer to them actually being useful (and maybe stealing my job 😂)

We’re rolling out an upgrade designed to help robots reason about the physical world. 🤖 Gemini Robotics-ER 1.6 has significantly better visual and spatial understanding in order to plan and complete more useful tasks. Here’s why this is important 🧵

@googlegemma Gemma 4 reasoning about what to ask and calling another model to execute it, all offline on a laptop? We're actually living in the future now.

We are in the era of local AI orchestration Gemma 4 evaluates a scene, reasons about what to ask, and calls a segmentation model to execute the vision tasks: 🚗 "Segment all vehicles." ➔ 64 found 🚙 "Now just the white ones." ➔ 23 found All happening offline on a laptop.