- AI Fire
- Posts
- 🧠 Your UI is Now GPT-5
In partnership with
Read time: 5 minutes
AI is getting faster but who's hoarding the power to make it faster? xAI just built a machine that trains GPT-3 in under 2 hours. And GPT-5? It's a full system shift.
What are on FIRE 🔥
IN PARTNERSHIP WITH HUBSPOT
The Future of AI in Marketing. Your Shortcut to Smarter, Faster Marketing.
Unlock a focused set of AI strategies built to streamline your work and maximize impact. This guide delivers the practical tactics and tools marketers need to start seeing results right away:
7 high-impact AI strategies to accelerate your marketing performance
Practical use cases for content creation, lead gen, and personalization
Expert insights into how top marketers are using AI today
A framework to evaluate and implement AI tools efficiently
Stay ahead of the curve with these top strategies AI helped develop for marketers, built for real-world results.
AI INSIGHTS
The AI boom is now about who has the compute to train them. And as of mid-2025, xAI’s Colossus supercomputer is officially the biggest beast on the planet → capable of training GPT-3 in under 2 hours. But it’s not alone. Meta, OpenAI, Oracle, and Tesla are scaling up fast, while Google and Amazon are suspiciously silent.
Key Points:
xAI Colossus: Now #1 worldwide clocking in at 200,000 H100-equivalent GPUs.
Compute Power = Model Power: Colossus can hit 20.6 non-sparse base-10 performance. We’re no longer talking weeks or days, it’s now hours.
Big Tech’s Billion-Dollar GPU Wars: Meta, Microsoft/OpenAI, and Oracle all operate clusters with 65K–100K GPUs. Tesla also joins the list with 50K GPUs in Cortex Phase 1. Most of the top 10 are U.S.-based.
Noticeably Absent: Google & Amazon: While dominating in AI model development, both have not disclosed their supercomputer specs.
→ It’s likely they’re building in stealth, or guarding trade secrets.
The cost of building and running these clusters is doubling every 13 months → a massive financial strain on even the biggest players.
Whoever controls the chips, controls the next wave of AI. Like oil refineries or fiber-optic cables, GPU clusters are strategic infrastructure. That’s why national labs like Lawrence Livermore are scaling, too.
Why It Matters: If you're in AI, you need access to compute. If you're not, your models, agents, and tools may be built by whoever can afford to train them. It’s compute season. And xAI just fired the loudest shot.
🎁 Today's Trivia - Vote, Learn & Win!
Get a 3-month membership at AI Fire Academy (500+ AI Workflows, AI Tutorials, AI Case Studies) just by answering the poll.
Which cluster likely consumes the most power? |
PRESENTED BY HEAR.COM
Hearing aids have come a long way over the years, with modern benefits including smartphone connectivity and Bluetooth streaming. But hear.com’s IX hearing aids offer something more: They can process speech and background noise independently, then recombine them for unparalleled, crystal clear sound.
These are the world’s first hearing aids with multi-stream processing, so you can follow the conversation wherever it goes, even when there’s ambient noise or multiple people are talking at once.
The state-of-the-art noise suppression and lightning-fast dual processing technology result in the most natural listening experience you’ll find on the market. Join over 540,000 happy customers who can hear better thanks to these game-changing hearing aids.
TODAY IN AI
AI HIGHLIGHTS
📄 The Trump administration just released an AI Action Plan with 90+ checklist for turning the U.S. into an AI superpower, shaped by 10K+ public comments. Read the TL;DR here.
📱 GitHub Spark now lets you build & deploy AI apps using just prompts. It's appealing to the 150M+ programmers already on GitHub. It’s quite simple, try it here.
🎬 AI filmmaker Lu Huang shows 10 top-tier examples of how you can use JSON (a format that’s easier for chatbots to read) to generate realistic, polished commercials.
🧠 Meta took on Neuralink with an AI wristband that decodes your brain signals to control devices with just some tiny hand gestures. We can see a quick overview here.
🧠 OpenAI’s next big move is to drop GPT-5 in early August and simplify the chaos. GPT-5 will combine the GPT-series with the o-series (like o3). You won’t see GPT-5 the way you saw GPT-4.
💰 AI Daily Fundraising: LegalOn just raised $50M to grow its AI legal tools, used by 7,000 orgs. It speeds up contract review by 85%, already serves 25% of Japan’s public firms and it’s expanding fast.
AI SOURCES FROM AI FIRE
NEW EMPOWERED AI TOOLS
🧠 Lovable Agent Mode now thinks, plans, and acts on its own
🔍 SEO Stuff gets every SEO & AI search optimization tool you need
📄 Tarly is like Cursor for resumes; you get a personal website in 1 min
🧬 Gemini Embeddings are SOTA built on Gemini, at production scale
AI QUICK HITS
😂 What happened when you asked AI if your job writing humor is at risk
🚨 AI might soon outsmart our safety checks, scientists sound the alarm
👗 Google’s new AI feature now lets you virtually try on clothes you like
🌐 Google rethinks search results with its new AI-curated ‘Web Guide’
💼 You asked AI & a financial planner the same task. Here’s how they react
AI CHART
Ever wish you could read a 2,000-year-old Roman inscription that’s been shattered into pieces? Now you can, with help from AI.
Yesterday, DeepMind quietly dropped Aeneas - a fully open-source tool that reads, analyzes, and reconstructs ancient Roman texts using both images and fragments. And it’s shockingly good at it.
You give Aeneas a broken stone inscription - faded letters, maybe a photo - and it pulls from a database of 176,000 ancient writings to guess where it’s from, when it was written, and what it used to say, with:
72% accuracy in assigning inscriptions to the right Roman province
Restores broken or missing text with 73% accuracy
90% of historians said it boosted their confidence by 44%
It’s free and open-source. Researchers can download the model, fine-tune it, and even adapt it to other ancient languages. Now we just need someone to build a Claude-powered Indiana Jones mode…
We read your emails, comments, and poll replies daily
How would you rate today’s newsletter?Your feedback helps us create the best newsletter possible |
Hit reply and say Hello – we'd love to hear from you!
Like what you're reading? Forward it to friends, and they can sign up here.
Cheers,
The AI Fire Team
Reply