Meta's Muse Spark may have just shown that in AI, distribution matters more than benchmark bragging rights. This week I break down why Meta's new multimodal model matters beyond the rankings, why its HealthBench Hard score stands out, and why pushing a free model into Facebook, Instagram, WhatsApp, Messenger, and Ray-Ban Meta glasses could be a stronger commercial move than simply topping the leaderboard.

I also dig into Anthropic's 3.5-gigawatt compute deal with Google Cloud and Broadcom, its reported $30 billion annualised revenue run rate, and what more than 1,000 enterprise customers each spending over $1 million a year says about where the real enterprise AI race is heading.

From there, the episode turns to the anti-distillation coalition between OpenAI, Anthropic, and Google - including the 16 million exchanges and 24,000 fraudulent accounts Anthropic says were tied to Chinese firms such as DeepSeek, Moonshot AI, and MiniMax.

Elsewhere: Google's NotebookLM and Gemini integration, BCG's warning that 50–55% of US jobs will be reshaped by AI rather than simply replaced, PwC's finding that 74% of AI's economic gains are going to just 20% of firms, Anthropic's new $0.08-per-hour managed agent infrastructure, Project Glasswing putting a restricted frontier model in the hands of Apple, Microsoft, and AWS for cybersecurity, Upwork inside ChatGPT, and why NIST's quiet work on AI agent standards in healthcare, finance, and education matters more than it sounds.

OpenAI just closed a $122 billion funding round at an $852 billion valuation, Anthropic is fighting the Pentagon in court, and a leaked Claude Mythos briefing warned of unprecedented cybersecurity risk. If you want the clearest signal on where AI power is concentrating, this week’s roundup has it.

You get the numbers behind OpenAI’s record raise, including Amazon’s reported $50 billion commitment, SoftBank and NVIDIA’s $30 billion stakes, and why the structure looks less like ordinary private fundraising and more like early IPO prep. There’s also the harder business reality underneath the hype: $2 billion in monthly revenue, 900 million weekly ChatGPT users, more than 50 million paid subscribers, and still no profitability expected until 2030.

From there, the episode digs into the DOJ appeal in Anthropic’s Pentagon case and why Judge Rita Lin’s First Amendment ruling could become a real precedent for AI procurement and responsible-use limits.

It also unpacks the Claude Mythos leak, where Anthropic’s own documents described a model capable of chaining vulnerabilities into exploits and adapting when defences fail. Beyond that, you get Salesforce turning Slackbot into an enterprise agent with 30-plus capabilities and MCP connectivity across 2,600 apps, Microsoft launching MAI transcription, voice and image models as a clear OpenAI hedge, plus quick takes on Gemma 4’s Apache 2.0 release, OpenAI’s TBPN acquisition, California’s new AI procurement order, venture capital concentration, and the rise of AI brain fry at work.

A federal judge just told the Pentagon it cannot punish Anthropic for insisting on AI guardrails. Judge Rita Lin's injunction was unusually blunt, and it may matter more than any model launch this week. This episode covers what that ruling means if AI vendors can now push back on autonomous weapons and mass surveillance clauses without being frozen out of public-sector work, plus the immediate business stakes for defence buyers already using Claude.

Then there's OpenAI's very different week. Sora is being shut down after reportedly burning around $1 million a day in inference costs - with peak daily costs reaching $15 million - against just $2.1 million in lifetime revenue. That retreat connects to a wider pivot: enterprise capability, data centres, IPO optics, and the upcoming Spud model. The question worth asking is what happens when cost pressure and thinner safety oversight arrive at the same time.

Also in this episode: Shopify making AI commerce the default across 5.6 million stores. A Duke and Federal Reserve-backed CFO survey projecting over half a million AI-related job cuts in 2026. Google's TurboQuant breakthrough, which could cut large language model memory needs by 6x and challenge assumptions about endless GPU demand. Google's free Gemini personalisation push. And Mistral's €830 million infrastructure bet near Paris.