Dashform @getaiform

AI data centers were supposed to be the “future of infrastructure.” But this Maryland case shows the uncomfortable part of the AI boom: The compute may be built by hyperscalers, but the grid upgrades can end up being paid for by ordinary ratepayers. A $2B power grid bill tied to out-of-state AI data centers raises a bigger question: Who should actually pay for AI infrastructure? Because AI is not just a software story anymore. It is becoming an energy story, a public infrastructure story, and eventually, a political story. If data centers consume massive power, require new transmission lines, and reshape regional energy demand, then the cost structure matters. If private companies capture the upside, but households absorb part of the infrastructure burden, public resistance will grow fast. The next phase of AI competition may not be decided only by models, chips, or talent. It may be decided by electricity, regulation, and who gets stuck with the bill.

OpenAI is no longer just selling models. With the launch of its Deployment Company and the acquisition of Tomoro, OpenAI is moving deeper into enterprise execution: integration, compliance, workflow redesign, and real deployment. The signal is clear: the next AI battle is not only about model capability, but who can turn AI into working systems inside real organizations. $4B+ is not a small bet.

@ionleu Make your website can be discovered by Agent through creating form in clicks. getaiform.com

Who gonna win this game? US or China? Find the clue below: For the last few years, the conversation was: Which model is smarter? Which benchmark is higher? Which demo feels more magical? Now the harder questions are: Who has the GPUs? Who has the power? Who gets grid access? Who can afford inference at scale? Who can keep margins alive? AI is a software revolution. But the bottlenecks are starting to look very physical.

@pmitu @gork Too complex. Just predict the next lottery numbers, make no mistakes.

@JohnnyNel_ Exactly. Once they secure enough chips, I they’ll focus on electricity then.

Anthropic taps SpaceX/xAI-scale compute Anthropic announced access to SpaceX’s Colossus 1 compute cluster, reportedly involving 300MW of power and 220K+ NVIDIA GPUs, to raise Claude Code and API limits. Why it matters: AI competition is becoming infrastructure competition. Models, cloud capacity, chips, energy, and data centers are increasingly part of the same strategic stack. techcrunch.com/2026/05/06/is-…

@johancutych wow,excellent!

Yesterday’s biggest AI story wasn’t a new model. It was Anthropic renting SpaceX’s Colossus 1 compute to double Claude Code limits. 220k+ NVIDIA GPUs. 300MW+ capacity. The AI race is moving from “who has the smartest model?” to: who controls compute who controls power who controls networking who can give developers more room to build Claude Code limits going up is the visible part. The real story is infrastructure. arstechnica.com/ai/2026/05/ant…

With just a few clicks and natural language, agents understand your business much better.

Quick test: If an AI agent looked at your website today, would it know: - what you sell - who it is for - how to book - why it should trust you

@TTrimoreau hi🙌

OpenAI’s recent shopping/product discovery updates show a bigger pattern: the search journey is moving inside the chat. People do not just ask for links anymore. They ask AI to compare, narrow down, and decide. That matters beyond ecommerce. If a customer asks an agent to find a salon, tutor, CPA, coach, or local service, the agent needs to understand who you serve, what you offer, how to qualify the request, and how to submit it. The scary part is not fewer website clicks. The scary part is being filtered out before the click ever happens.

We launched YOYA AI — the world's first proactive AI marketing agent team — weeks before @askOkara announced their "AI CMO." The similarities are... interesting: Same $99/mo pricing Same "enter your website, deploy agents" pitch Same "get traffic and users" promise But here's what's NOT the same: YOYA actually runs autonomously. Our agents execute campaigns 24/7 — posting, replying, optimizing — without you lifting a finger. Okara? It writes drafts. You still copy-paste and hit send manually. That's not an AI CMO. That's a fancy text editor with a marketing label. We spent months building real automation while they spent weeks copying the positioning. This is the difference between building a product and building a landing page. If you want to see what a REAL AI marketing team looks like — try YOYA free for 1 month. Use code: YOYA1FREE

@KanikaBK yes, check yoya.ai which launched two weeks ago and they even used the same $99 price as yoya

@Lukealexxander u should check yoya.ai

@evilcassieroll @askOkara YOYA AI launched this exact idea **2 weeks ago** with 3,000+ teams already using it. Check it out: yoya.ai

@SchedFly This exact idea was launched by YOYA AI **2 weeks ago**. We already have 3,000+ teams using it. Check us out: yoya.ai

@SchedFly This exact idea was launched by YOYA AI **2 weeks ago**. We already have 3,000+ teams using it. Check us out: yoya.ai