Google 🤝 Anthropic

Plus: AI isn’t free


Welcome back! Can love be prompt-generated? Elon Musk used Grok Imagine to generate a video of a woman saying, “I will always love you.” The internet immediately awarded it the title of “most divorced post of all time.”

It does raise a real question, though: If AI can generate affection on command, what does authentic emotional connection look like in an AI-native world?

Google Introduces Ironwood, Its Most Powerful AI Chip Yet

Google’s Ironwood

Google is fighting to win the infrastructure war. This week, Google introduced Ironwood, a new AI chip that delivers 4x the performance of its previous Tensor Processing Unit generation. And in a sign of early validation, Anthropic has committed to accessing up to 1 million of them. 

Google’s move:

  • Ironwood is core to the “age of inference,” where the bottleneck is no longer training huge models.

  • The chip helps strengthen Google’s position against Nvidia and AWS by proving it can build the compute stack end-to-end—silicon, networking, data center cooling, and tooling.

What Anthropic gets:

  • Expanded TPU access will help scale Claude for enterprise demand

  • Long-term compute supply in an era where GPU access directly determines a model’s competitiveness

Why it matters: This partnership shows escalating competition among cloud providers to control the hardware that powers AI.

Wikipedia to AI Developers: Pay Us

The backbone of the internet wants to be recognized. Wikipedia issued a public call urging AI developers to stop scraping and instead use its paid Wikimedia Enterprise API with proper attribution. 

The breakdown: This comes as Wikipedia’s human page views declined 8% year over year, in part due to AI products summarizing information without linking back. Meanwhile, bots were recently caught evading detection systems to pull content at scale. 

Wikipedia’s argument: Human knowledge is the training data. Without ongoing contributions from editors, AI models risk generating increasingly stale or incorrect information.

The bigger picture: As AI-powered search and assistants become primary information channels, questions of credit, ownership, and sustainability are moving to the forefront. If AI replaces the platforms it learns from, the ecosystem that produces high-quality human knowledge could erode.

OpenAI Asks US Government to Support Data Center Buildout

Who pays for the AI future? A newly surfaced letter shows OpenAI asking the White House to expand Chips Act tax credits to include AI data centers. 

The cost of big data: OpenAI argues that accelerating data center buildout will require public-private collaboration, especially as the company has $1.4T+ in infrastructure commitments planned over the next eight years. 

What OpenAI is requesting:

  • Broader federal tax support for AI infrastructure

  • Faster permitting and review for data center construction

  • Strategic reserves of key raw materials (copper, aluminum, rare earth minerals)

The bigger pitcture: The debate is no longer whether AI development is expensive—it’s who foots the bill. This raises a structural policy question: Should critical AI infrastructure be treated like highways and power grids or like private corporate assets?

Enterprise-Grade AI Agents for All

Do you want to standardize building, deploying, hosting, and orchestrating AI agents? That’s where Scale comes in. Scale’s Agentex is an enterprise-grade hosting and orchestration framework for deploying, managing, and scaling reliable AI agents. Let your developers get back to creating instead of deploying.

Proven in real-world enterprise environments, Agentex lets you:

  • Build persistent, asynchronous agent workflows—your way

  • Enjoy zero-ops deployment with no vendor lock-in

  • Seamlessly connect and manage complex, always-on agents

Ready to unlock the future of AI orchestration?

Manage your AI assets

Versuno centralizes prompts, personas, system prompts, datasets, and project files so you can version, test, compare, and share them in one workspace.

How you can use it:

  • Run the same prompt across 50+ models to compare outputs

  • Version prompts like code and roll back to earlier iterations

  • Store company-wide prompt assets in one searchable library

  • Collaborate across teams without scattered documents

Pricing: Free and paid plans available

Repurpose content on every platform

PostEverywhere lets you write content once and automatically repurpose, schedule, and publish it across Instagram, LinkedIn, TikTok, X, YouTube, and more—with AI adjusting tone, length, captions, and hashtags per network.

How you can use it:

  • Turn one script into multiple platform-native posts

  • Auto-generate caption A/B tests to boost engagement

  • Maintain consistent brand voice across channels

  • View previews before publishing to avoid formatting headaches

Pricing: Paid plans with free trial

Jobs, announcements, and big ideas

  • Anthropic is on track to become profitable two years before OpenAI.

  • Apple is developing satellite features for iPhones.

  • Google flags new AI-powered malware that can rewrite itself to evade detection.

  • Meta releases an open-source speech recognition model supporting transcription in over 1,600 languages.

  • Majestic Labs startup raises $100M to reduce cloud company spend on data centers.

  • Undersea cable investments could reach $13B between 2025-2027.

  • OpenAI offers one year of free ChatGPT Plus access for US service members and veterans transitioning to civilian roles.

Goodbye Chrome? I walk you through the features of Perplexity’s new AI browser Comet. It’s a wild one—and the closest I’ve seen to replace your daily Chrome flow.

That’s a wrap! Enjoy your day and I’ll see you back here for more on Friday.

—Matt (FutureTools.io)