Meta’s massive AI compute push

Good morning, AI enthusiasts. Meta spent the summer poaching top AI talent, and now it’s build up the compute power to match.

Mark Zuckerberg just unveiled Meta Compute, an initiative to construct tens of gigawatts of recent capability this decade and tons of over time — making clear that infrastructure won’t be what stands between Meta and the frontier.

In today’s AI rundown:

• Zuckerberg’s massive AI infrastructure push

• Microsoft’s ‘good neighbor’ data center initiative

• Never lose vibe coding progress again with Git

• AI learns from 1M species to design latest medicine

• 4 latest AI tools, community workflows, and more

LATEST DEVELOPMENTS

META

🏗️ Zuckerberg’s massive AI infrastructure push

The Rundown: Meta just announced Meta Compute, a brand new “top-level initiative” to construct AI infrastructure at unprecedented scale — with plans so as to add tens of gigawatts of capability this decade and tons of of gigawatts over time.

The main points:

• Infrastructure chief Santosh Janardhan will co-lead the hassle with Daniel Gross, who got here over from AI safety startup SSI last yr.

• Meta has committed $600B in U.S. infrastructure spending by 2028 and recently locked in 20-year nuclear power agreements for its data centers.

• Newly appointed president and former Trump national security official Dina Powell McCormick will handle government deals to finance and construct capability.

• The announcement comes amid reported major layoffs to Meta’s Reality Labs and metaverse/VR divisions, with a roughly 10% cut expected this week.

Why it matters: Zuck and co. splashed some serious money on poaching top AI talent in the summertime, and now they’re doubling down on the compute front as well. With the AI race increasingly becoming an infrastructure one, Meta’s initiative goals to make sure that scale won’t be the bottleneck in leveling as much as the frontier.

TOGETHER WITH CONCENTRIX

🔮 Are humans within the loop still needed?

The Rundown Concentrix’s guide on the Missing Piece in AI Systems combines research-based reasoning and hands-on experience to redefine the role of human expertise in constructing and deploying strong AI systems.

Inside, you’ll find:

• Evaluation of the business impact of human oversight in AI systems development

• Practical suggestions for improving the performance of your AI systems

• Real-world examples of AI success in practice

Download the free guide here.

MICROSOFT

😇 Microsoft’s ‘good neighbor’ AI data center initiative

The Rundown: Microsoft just launched ‘Community-First AI Infrastructure’, a brand new plan promising that its data centers won’t raise local electricity prices, will replenish more water than they use, and can spend money on jobs and training for nearby residents.

The main points:

• The corporate says it’ll ask utilities to charge rates high enough to cover the complete cost of powering its data centers, so residential bills aren’t affected.

• Microsoft is committed to a 40% reduction in water-use intensity by 2030, with latest facilities using closed-loop cooling that does not tap local drinking water.

• The tech giant also pledged to pay full property taxes without breaks, and announced latest programs to coach locals for data center construction jobs.

• The announcement follows pressure from senators and comments from President Trump that tech firms must “pay their very own way” on energy.

Why it matters: AI’s infrastructure surge shows no signs of slowing down, but they’ve change into divisive in communities across the country over spiking power bills and water supply concerns (some valid, others overblown). Microsoft’s pledge is a superb start, however it’ll likely take greater than this to show the PR tides from the present major backlash.

AI TRAINING

💾 Never lose vibe coding progress again with Git

The Rundown: On this tutorial, you’ll learn save your vibe coding progress with Git so that you never lose your work again — covering eight practical git commands and writing your first git commit.

Step-by-step:

1. Install git from git-scm.com and confirm with git --version in terminal, then open a coding project in your IDE and begin a terminal instance in that folder

2. Use git init to initialize git tracking, then git add . to snapshot all files (or git add [filename].[extension] for individual files)

3. Save your snapshot with git commit -m 'first commit!' and look at all commits with git log

4. For brand new features, create a branch with git checkout -b feature-[name], then merge changes to primary with git merge [branch name] 

Pro tip: Add git rules to your coding assistant: (1) Create a feature branch: git checkout -b feature-[name], (2) Commit after each logical change, (3) Ask before merging, (4) Wait for approval, (5) Never commit on to primary.

PRESENTED BY GLEAN

💡 100 ideas from leaders redefining work with AI

The Rundown: AI has moved fast — but transformation hasn’t. Too many organizations are still stuck between hype and results. This report, dropped at you by Glean’s Work AI Institute, distills insights from 100+ leaders into practical, evidence-backed plays for using AI to rework work.

On this report, you’ll discover:

• Five big lessons for leading through AI change

• Nine themes around how AI is rewiring the core of how organizations function

• Real-world AI examples from orgs. like Time, Workday, Deloitte, and more

Get the AI Transformation 100 report.

AI RESEARCH

🧬 AI learns from 1M species to design latest medicine

The Rundown: UK startup Basecamp Research introduced Eden, a brand new family of AI models developed with Nvidia that learned from evolutionary data across 1M species to design potential latest treatments for genetic diseases and drug-resistant infections.

The main points:

• Eden learned from DNA collected across 28 countries, studying how organisms evolved to resolve biological problems over billions of years.

• The AI designed a brand new style of gene-editing tool that may insert therapeutic DNA without cutting it, a potentially safer approach than methods like CRISPR.

• In lab tests for diseases like muscular dystrophy and hemophilia, over 63% of the AI-designed treatments were functional.

• Eden also created latest antibiotic candidates, with 97% proving effective against dangerous ‘superbugs’ that do not reply to existing drugs.

Why it matters: Most individuals don’t take into consideration where latest medicines come from until they need one that does not exist. Basecamp’s approach of teaching AI to learn from billions of years of evolution could help speed up treatments for genetic diseases and a growing crisis of antibiotic-resistant infections that current drugs cannot address.

QUICK HITS

🛠️ Trending AI Tools

• 🗣️ Unwrap Customer Intelligence – Get AI-driven insights out of your unstructured customer feedback to construct your product roadmap*

• 🤝 Claude Cowork – Bring Claude’s agentic capabilities to on a regular basis tasks

• 🎥 Veo 3.1 – Google’s video AI, with upgrades to references, vertical outputs

• 💬 Slackbot – Slack’s upgraded personal AI agent

*Sponsored Listing

📰 Every thing else in AI today

Anthropic introduced Anthropic Labs, a brand new team focused on constructing prototypes of AI tools, with CPO and Instagram co-founder Mike Krieger shifting to guide the division.

Google updated its open-source MedGemma medical AI with abilities for interpreting scans like CT and MRIs, also releasing an open MedASR speech-to-text tool.

Claude Code creator Boris Cherny revealed that Anthropic’s latest Claude Cowork feature was entirely built using the agentic coding tool in only 1.5 weeks.

U.S. Defense Secretary Pete Hegseth said the Pentagon is adding xAI’s Grok into military networks by the tip of the month to speed up AI use across the department.

Japanese lab Sakana AI announced that its ALE-Agent for coding took first place within the AtCoder Heuristic Contest, the primary time an AI has won the event.

McKinsey CEO Bob Sternfels said the consulting giant counts 25k AI agents amongst its 60k “person” workforce, with plans to pair every consultant with no less than one agent.

COMMUNITY

🤝 Community AI workflows

Every newsletter, we showcase how a reader is using AI to work smarter, save time, or make life easier.

Today’s workflow comes from reader David G. in Lakewood Ranch, FL:

“AI is throughout my workday. It’s my WordPress assistant, which solves minor issues and lets me tackle tasks beyond my technical reach. It helps me each time I enter a brand new, unfamiliar dashboard, answers multiple technical questions during my workday, and supports our marketing and strategy.

Away from work, it also helps manage diabetes by guiding me on one of the best eating practices and, with an image, estimating carb counts. I’m hooked!”

How do you utilize AI? Tell us here.

🎓 Highlights: News, Guides & Events

• Read our last AI newsletter: Apple, Google go official for Siri revamp

• Read our last Tech newsletter: A moon hotel is taking reservations

• Read our last Robotics newsletter: Walmart expands drone empire

• Today’s AI tool guide: Never lose vibe coding progress again with Git

• RSVP to next workshop @ 4PM EST Friday: AI Foundations Bootcamp pt. 2

See you soon,

Rowan, Joey, Zach, Shubham, and Jennifer — the humans behind The Rundown