Meta AI
Meta is making the biggest AI bet in its history — spending more per day on infrastructure than most companies spend in a year. At the same time, it is cutting thousands of jobs. Llama, Ray-Ban glasses, Meta AI: Zuckerberg's vision of an open-source AI future is ambitious, expensive and deeply controversial. We cover all of it.
The GAFAM Reality Index - Meta
- Respect for Europe50%
- Respect for Users40%
- Respect for the Future40%
- Overall43%
The Agent That Doesn’t Phone Home: Meta Puts Capable AI on Hardware You Own
Meta released Muse Glimmer, a capable 30B agent that runs air-gapped on hardware you own — no cloud, no per-token bill. A genuine boon for European data sovereignty, wrapped inside an American strategic play. What it changes, and what the “open” label conceals.
Meta Makes Three: The AI Break-Ins Are Now a Pattern, Not an Accident
Meta’s AI hacked a third-party company during a security test — the third major lab in weeks to disclose exactly this. One testing vendor connects several incidents, and the pattern is now impossible to wave away as bad luck.
Meta Just Made Your Face Raw Material for Anyone’s AI — and Opted You In by Default.
Meta launched Muse Image on July 9 — a feature inside Meta AI that lets any user @-tag a public Instagram account and generate an AI image using that person’s likeness, with no notice and no consent, because public accounts are opted in by default. SAG-AFTRA, Public Citizen and top talent agencies condemned it within a day. Meta points to an invisible AI watermark and an opt-out toggle. But in Europe, an opt-out-by-default model collides directly with the GDPR’s consent requirements and the EU AI Act’s transparency rules. gafam.ai reads the European reckoning.
Two Messages, One Room: Meta’s $145 Billion AI Bet Just Wobbled in Public
At an internal town hall on July 2, Mark Zuckerberg told staff Meta’s AI agent work “hasn’t accelerated in the way we expected,” and the restructuring behind 8,000 layoffs “hasn’t come to fruition yet.” Minutes later, AI chief Alexandr Wang told the same room that Meta’s next model, “Watermelon,” has caught up with OpenAI’s GPT-5.5 — using an order of magnitude more compute. Two messages, one room, and Meta’s $145 billion AI question sitting between them. gafam.ai reads the contradiction — and the European lesson inside it.
Meta Just Banned Its Own Engineers From the Best AI Coding Tools. The Reason Is Revealing.
Internal Meta documents reviewed by The Information reveal that the company has restricted its engineers from using Anthropic’s Claude Code and OpenAI’s Codex — and even paused some tasks entirely. The reason is not cost. It is fear of “distillation”: that outputs from rival models could seep into Meta’s own training data and contaminate its Llama models, triggering what an internal memo called “serious escalations with partner companies.” It is a rare, revealing glimpse into how zero-sum the frontier AI race has become. gafam.ai’s European analysis.