News & Updates
The latest news and updates from companies in the WLTH portfolio.
Meta Platforms restricts engineers from using Anthropic's Claude and OpenAI's Codex
The tech giant is locking down rival AI tools to prevent 'model distillation' risks, joining Microsoft in a broader industry pullback from third-party coding assistants Meta has drawn a hard line in the AI arms race. The company's Applied AI division now explicitly prohibits engineers from using Anthropic's Claude Code and OpenAI's Codex, two of the most popular AI-powered coding tools in the industry. The restrictions, documented internally around June 29, 2026, are designed to prevent a specific and somewhat ironic problem: rival AI models accidentally teaching Meta's own models their tricks. The distillation problem The concern is straightforward. When Meta engineers use Claude Code or Codex to write code, generate data, or run evaluations, those outputs carry the DNA of Anthropic's and OpenAI's proprietary models. If that output then feeds into Meta's training pipelines, evaluation benchmarks, or post-training datasets, Meta's models could absorb competitive capabilities they didn't develop themselves. That's not just an intellectual property headache. It's a potential breach of service agreements with both Anthropic and OpenAI, which typically prohibit using their outputs to train competing models. Teams within Meta's Applied AI division have been told to halt tasks involving these external tools, enforce human oversight on any remaining workflows, and scrub any prior outputs from data generation processes and benchmarks. The scale of the problem was enormous Before Meta pulled the plug, usage had reached staggering levels. An internal tracking system, which Meta employees reportedly nicknamed the "Claudeonomics" dashboard, recorded 60 trillion tokens consumed within a single 30-day period. Microsoft reportedly canceled a majority of its Claude Code licenses by June 30, 2026, citing excessive token consumption as a primary driver.
Anthropic pledges $200 billion to Google Cloud, reshaping the AI infrastructure race
The five-year commitment accounts for over 40% of Alphabet's Google Cloud revenue backlog and signals a new era of hyperscale AI spending Anthropic just wrote what might be the largest check in enterprise cloud history. The Claude AI maker has committed roughly $200 billion to Google Cloud services over the next five years, a deal so large it represents more than 40% of Alphabet's entire disclosed revenue backlog for its cloud division. What the deal actually includes The commitment isn't just about renting server space. Back in October 2025, Anthropic expanded an existing agreement to acquire up to one million of Google's custom AI chips, known as Tensor Processing Units. That deal alone was valued in the tens of billions of dollars. Then in April 2026, Anthropic struck a separate alliance with Google and Broadcom targeting multiple gigawatts of next-generation TPU capacity starting in 2027. The practical result is that Anthropic's Claude models are deeply embedded in Google Cloud's Vertex AI platform, running alongside Google's own Gemini models. The two companies have been presenting jointly at Google Cloud Next conferences throughout 2025 and 2026. Anthropic isn't exclusive to Google. Claude models are also hosted on AWS and Microsoft Azure. Why this matters for the broader tech ecosystem For Alphabet investors, the math is straightforward. A $200 billion commitment over five years translates to roughly $40 billion in annual revenue from a single customer. The crypto infrastructure overlap AI training and crypto mining share a critical resource: data center capacity. Both require massive amounts of power, cooling, and physical space. As AI companies like Anthropic consume multiple gigawatts of capacity, they're competing directly with Bitcoin miners and blockchain validators for the same real estate and energy resources. Several publicly traded Bitcoin miners have pivoted toward offering AI compute services because the margins are higher and the demand is more predictable than mining rewards that fluctuate with Bitcoin's price.
Anthropic faces US regulatory scrutiny over new AI models, sparking rally in decentralized AI tokens
The Commerce Department forced Anthropic to pull its latest models offline over a jailbreak vulnerability, and crypto markets noticed immediately The US Commerce Department issued a directive on June 12 forcing Anthropic to suspend global access to its two most advanced AI models, Fable 5 and Mythos 5, after a jailbreak vulnerability raised national security red flags. The mandate required Anthropic to cut off all foreign nationals from the models, which effectively meant taking them offline entirely. The models stayed dark for roughly three weeks. Access was restored around June 30 to July 1, but only after Anthropic agreed to implement enhanced safeguards and submit to greater government oversight. Even then, the comeback was uneven: Fable 5 returned to full global access, while Mythos 5 was initially restricted to approved US organizations only. A company worth nearly $1 trillion, grounded by regulators This is a company valued at close to $1 trillion, one of the most prominent AI labs on the planet, built on a brand identity centered around safety. And it still got its models yanked offline by regulators. Just two days before the Commerce Department dropped its directive, Anthropic CEO Dario Amodei published an essay on June 10 arguing for stricter federal regulation of frontier AI. He called for rigorous testing and auditing frameworks to prevent unsafe deployments. The jailbreak vulnerability at the center of this situation involved users finding ways to bypass the safety constraints built into Fable 5 and Mythos 5. The backstory: Anthropic and the Pentagon were already at odds This wasn't Anthropic's first brush with government tension in 2026. Earlier in the year, disputes emerged regarding the military use of Anthropic's technologies, particularly involving the Department of Defense. Those disagreements raised pointed questions about whether AI systems designed with safety-first principles should be deployed in high-stakes military environments. The export control directive in June escalated that dynamic significantly. Export controls are one of the sharpest tools in the US government's regulatory toolkit, typically associated with things like advanced semiconductors and weapons systems. What this means for crypto and decentralized AI The crypto market's response was swift and predictable. Tokens associated with decentralized AI projects surged as investors drew the obvious conclusion: if a nearly $1 trillion company can have its products disabled by a single government directive, maybe there's value in systems that can't be turned off from Washington. Projects like Venice and Morpheus saw notable gains as traders rotated into assets perceived as censorship-resistant.
