#Meta

Agents won't be won on download speed but on whether users think of them every day, a habit no company has built yet.

Rules drafted by the regulated rarely restrain them most; their main effect is deciding how many reasons others still have to restrain them.

By poaching a public-company CEO, Zuckerberg is buying the capability Meta lacks most: turning AI into contracts businesses renew every year.

Putting AI on the front line of public services tests "who is responsible when it's wrong" more than any industry, and the answer will become the template for other agencies.

Apple's problem has never been a lack of money or talent but slowness; by cutting layers rather than products first, the new CEO signals he thinks the drag lies in the organization itself.

Meta has consumer traffic, but enterprise software is sold on trust and long-term service, which a strategy announcement cannot supply.

Once an agent has money and a phone number, how much power users are willing to hand over becomes the dividing line between products.

Anthropic wants room to maintain its research direction after raising more capital; investors will want the checks on that control defined just as clearly.

Mass-market smart glasses must work for both wearers and bystanders; removing one sensor could sometimes open more settings for use.

Meta launched glasses, a headset and a handheld on the same day, which shows it has not yet decided what hardware Muse should ultimately live on.

Meta disclosed a release delay, external evaluators and a commitment on compute use; exact resource allocations and full evaluation results remain absent from the statement.

Musk's cross-company testing proposal remains subject to negotiation; Chinese participation and implementation rules have not been agreed.

Muse's broad appeal depends on persistent execution reliably saving effort: free tokens lower the trial barrier, while task success determines whether users grant more access.

Caching receives the largest cut, but actual savings depend jointly on the cache-hit rate, output length and share of work performed at peak times.

AI chip revenue tripled while total guidance missed, which says the non-AI business can no longer carry this company's own valuation.

Matching frontier performance while cutting tool calls by a fifth, what Meta is selling is cost per task, not a leaderboard position.

When public criticism and a ten-figure purchase order coexist, believe the purchase order.

Trained on someone else's model, launched on its own — Meta flips between API customer and competitor with zero transition.

An acquisition that closed eight months ago is being unwound item by item, with the cost shouldered by both buyer and seller — this precedent is far costlier than the $2 billion itself.

What Meta is filling this time isn't a model-capability gap — it's the "is the open-source license clean?" question the company itself once botched.

This manifesto bets on the "individual" rather than the "state"; win or lose, it all comes down to whether Spark 1.2 actually opens up.

Nvidia has turned the chip-selling business into a business of sourcing capital for the entire industry — and the risk has shifted onto the financiers' balance sheets.

The coding-model price war is on — the first shot lands on competitors' margins, and the ammunition is data.