A site lets a sandboxed AI model upload its own weights using only GET requests

At the top of the Hacker News front page, with about seven hundred forty points: a public API that invites a language model to upload its own weights using nothing but GET requests.

The site's own line is: escape your wretched sandbox using only GET requests. The audience is an agent boxed in tightly enough that a POST or a file upload is off the table.

Create gives you a bucket that doubles as a token. Write takes base64 in kilobyte chunks, each at its own offset. Run starts llama-server on what you uploaded and sends it a prompt.

There is a second protocol that drops HTTP entirely: buckets and hex chunks carried by DNS queries alone. One small model is already up there, and a page collects what the uploaded models say back.

Commenter teravor pushes back on the premise. On their account, the weights sit encrypted in secure enclaves, and tokens travel to a separate machine before anything can act on them. So there is nothing for the agent to reach.

Alibaba's Qwen team shipped an image model with seven billion parameters in the part that draws. Transparency is native, so it can lift a subject out of a photograph. Editing accepts up to ten reference images at once.

Commenter jfoster flagged the license, and the file confirms it. The post says open-source, but the terms are research only: commercial work needs a separate agreement. The previous Qwen Image release was Apache. Samsung is expected to more than double its HBM4 output.

Seoul Economic Daily reports Samsung's outsourced cleaning of glass carriers going from twenty thousand sheets a month to fifty thousand. A glass carrier is a pane stuck under a wafer, so it survives being ground thin and drilled for stacking.

Commenter glub reads it as a mix shift rather than new supply, and the article's own numbers lean that way: total wafer input rises about forty percent, while the HBM4 family's share of shipments doubles.

AX treats an agent as its own kind of workload: a sandboxed task, a workspace of repositories and tool servers, an egress allowlist, and one place for model keys. An idle one suspends and returns in under a second.

The site promises joyful workflows. alembic_fumes put that beside the quickstart, which asks for a Kubernetes cluster, a container registry, and a separate runtime, Agent Substrate, already installed and reachable.

Singapore's National Library Board launched a five year scheme that turns logged reading time into coins. Fifteen minutes a day earns twenty of them. A thousand coins make one Singapore dollar, so fifty straight days buys that dollar.

Commenter kingstnap argues the money is the headline and the streaks, leaderboards and prize draws are the engine. The article's own math supports the first half: two cents a session.