
A 260M Image Model Beat a Rival 6.5x Its Size by Looping the Same Blocks
Adding parameters still works. The more active work is about making a given model do more with less.
Discover tips, tutorials, and insights about Generative AI

Adding parameters still works. The more active work is about making a given model do more with less.

Quality converged, and the competition moved to where the model runs, how fast it starts, and what it costs per call.

A thousand agents that each need supervision multiply the supervision, not the capacity.

Agent capability stopped being the headline. The headline is whether a company can prove, after the fact, exactly what its agent did.

Reproducing what a person did is one thing. Speaking for them is another, and the line between the two is now written into a court record.

A marker that routine paraphrasing can strip may satisfy the letter of Article 50 while failing the job the article was written to do.

The instruction never crosses a boundary in the code, so no layer is left to ask whether the request made sense.

When the marginal cost of content laundering approaches zero, what creators lack most is not ideas, but a record that can prove where the ideas came from.

The roster is the least interesting part. The runtime underneath it changes what an agent is for.

The chip order is the easy part. The financing structures underneath it are where the risk sits.

The federal government's AI agenda is being set in at least two places at once, and the two are not obviously aligned.

The audit will surface the exposure. Funding the fix is a separate exercise with a separate budget.