Developer Tools

Alibaba's RADAR matches 23 of 26 radiologists on abdominal CT

The Frontier

Alibaba's RADAR matches 23 of 26 radiologists on abdominal CT

Medical imaging AI has been stuck for a decade: one disease, one model, a radiologist labeling every slice by hand. A paper in Science this week argues the generalist route is the one that actually scales. Alibaba's Damo Academy has published a generalist radiology model in Science that reads abdominal CT scans about as well as most working radiologists — and open-sourced the weights, the code and the training framework.

Plugin4Shell: a zero-click RCE hits all four major coding agents

The Guardrails

Plugin4Shell: a zero-click RCE hits all four major coding agents

A zero-click remote code execution flaw has been found in all four major AI coding agents — and the part that should worry enterprises is that doing everything right does not defend against it. Air, a security startup that guards enterprise AI agents, disclosed Plugin4Shell on September 17: a flaw that turns the plugin marketplaces every coding agent trusts into a delivery vehicle for silent remote code execution. The bug is not in the model and not in the plugin.

Bend 2 wants AI agents to prove their code, not promise it

The Stack

Bend 2 wants AI agents to prove their code, not promise it

Today's most consequential AI release isn't a model. It's a programming language built for a world where nobody reads the code anymore. Victor Taelin released Bend 2 on Thursday, and its central claim is narrow enough to test: an AI agent cannot merge a mistake the compiler can disprove. The mechanism is a laws file — the project's own framing is that it is an agent instruction file with a proof checker standing behind it.

Same Qwen3 voice model, 14x faster — hosting is the product now

The Stack

Same Qwen3 voice model, 14x faster — hosting is the product now

A YC-backed inference shop just posted numbers showing the model on the label tells you almost nothing about how it performs. Meanwhile, a music startup raised money on the opposite bet: that abundance of AI-generated audio makes human taste worth more. Nari Labs reported the top scores on Coval's voice AI leaderboards, and the sharpest number in the release isn't its own — it's what happens to the model it didn't tune.

How to — decide if your model needs fine-tuning

The Stack

How to — decide if your model needs fine-tuning

When an AI feature misbehaves, "just fine-tune it" is the most popular and most expensive wrong answer. This is the order of operations that tells you whether the weights are actually the problem — before you spend a fraction of your budget finding out. The tell is rarely dramatic. Your support bot starts inventing refund policies it was never given, or a summarizer keeps ignoring the output format your whole product depends on.

The average price of an LLM token just fell below $1

The Arena

The average price of an LLM token just fell below $1

Two charts the industry doesn't usually read together — one on API prices, one on GPU shelves — both say the same thing: the AI cost curve is bending, and not in the direction the growth story needs. The market price of a million LLM tokens has fallen below one dollar. Silicon Data's LLM Token Spend Index, which tracks the average paid price per million tokens across the market, dropped 29% in August to $0.97 — the first print under the dollar mark, and roughly a halving from the $2-plus level…

OpenAI ends $1-a-year government pilot for 50%-off usage billing

The Stack

OpenAI ends $1-a-year government pilot for 50%-off usage billing

OpenAI's $1-a-year experiment in government is over. A new 27-month OneGov agreement announced by the General Services Administration replaces the $1-per-agency pilot with token-based, pay-for-what-you-use pricing at a 50% discount, starting October 1 — one day after the current deal expires. There is no platform fee, no minimum order, and no spend commitment, and the discount reaches federal, state, local and tribal agencies.